The Multiverse blog

Needless to say, things have changed almost overnight. Between 2023 and 2024, the percentage of organisations using AI leapt from 55% to 78%. This rapid adoption isn’t surprising when you consider the technology’s impressive versatility. From crunching huge datasets to managing projects, AI can assist with (almost) any operation.

But incorporating AI into your daily workflows isn’t as simple as downloading Microsoft Copilot onto every computer or sharing tutorials about AI image generation. Companies that adopt this technology can face many obstacles, from tight budgets to employee resistance. Effective change management is key to navigating these transformations successfully and getting your whole team on board.

This article covers essential strategies and resources for change management. By mastering this skill, you can help your organisation adopt AI and prepare for whatever comes next.

Understanding change management

The Association for Project Management defines change management as “the overarching approach taken in an organisation to move from the current to a future desirable state using a coordinated and structured approach in collaboration with stakeholders.”

In other words, change management helps individuals and organisations transition from one point to another as smoothly as possible. For example, a business might develop a change initiative to shift from barely dabbling in AI to fully embedding it in every part of its operations.

To outsiders, change management may seem a little over-the-top. Even unnecessary. After all, companies change things all the time — do you really need a special plan for it?

Absolutely, especially when you’re introducing new technologies or processes. Here are a few reasons why it pays to manage organisational change proactively:

• Improve communication: Even the most laid-back employees can feel stressed if you suddenly switch to a new system or tool. With a change management plan, you can keep everyone in the loop about the transition and help them understand their roles.
• Get employee buy-in: Employees often balk at change, especially if they believe it will create more work for them. Some workers may also fear that AI will eventually replace them, leading to anxiety or resentment. Change managers can help soothe these concerns by explaining the benefits of the new technology upfront. For example, your HR team’s resistance to change may evaporate when you demonstrate how AI can automate their scheduling tasks.
• Provide training: While some AI tools are intuitive, they all have a learning curve. Content generators, for instance, require careful prompting to get high-quality outputs. By planning ahead, you can help employees upskill and get comfortable with the software before it becomes part of their daily routines.
• Reduce disruptions: Launching a new tool without a plan is a surefire way to cause chaos and confusion. A structured approach enables you to introduce the transition gradually and troubleshoot any issues that occur along the way.

The impact of AI on organisational change

Some organisational changes barely register for most employees. For example, your IT team may be the only people who notice when your payroll system gets a software patch. But that’s not the case for adopting artificial intelligence.

This technology is almost always a catalyst for much larger transformations. That’s because it disrupts existing workflows and helps people step outside their traditional roles. Suddenly, a marketer with no data science training can analyse a ten-thousand-line spreadsheet with AI. And instead of spending hours sifting through client emails, a Sales Representative can automate replies.

While these changes can be empowering, they may also raise new challenges. For instance, employees who lack technical skills, such as prompt engineering, might not know how to use AI effectively. Workers may also need to learn new behavioural norms, such as checking AI outputs for bias and misinformation.

The solution? Investing in change management. Organisations that dare to reinvent their workflows and roles are 1.5 times more likely to meet their goals than those that stick to the status quo. AI can also help businesses reach new levels of efficiency and productivity.

Change management models in the context of AI

You don’t need to reinvent the wheel to manage change effectively. Here are several existing models that you can adapt for AI-driven transformation.

Lewin’s change management model

The psychologist Kurt Lewin developed one of the most popular change management frameworks. It includes three phases:

• Unfreeze: The organisation recognises that it needs to transform and let go of the status quo. During this stage, change managers challenge existing beliefs and persuade key stakeholders to accept the coming transition.
• Change: Leaders begin applying changes and upending outdated systems. They focus on overcoming resistance and helping team members adapt to the new world order.
• Refreeze: Change managers establish new policies to ensure that the transformation takes root.

Although Lewin invented this model in the mid-twentieth century, it’s still incredibly relevant today. Project Managers can “unfreeze” their organisations by researching the benefits of AI and pitching the transformation to the leadership team.

During the change phase, they can implement strategies like offering training sessions or piloting AI in one or two departments. And, after the successful implementation, AI usage policies could help cement the shift.

ADKAR model

In the 1990s, Jeff Hiatt created the ADKAR model to help businesses effectively manage change. It focuses on “guiding individuals through a particular change and addressing any roadblocks or barrier points along the way.”

This framework has five stages:

• Awareness: The individual understands the underlying reasons for the transition and the potential consequences of not evolving.
• Desire: They want to see the change implemented successfully and feel inspired to actively participate in it.
• Knowledge: They gain the knowledge and skills needed to support the transition.
• Ability: The individual has the capability to apply what they’ve learnt.
• Reinforcement: They commit to the change for the long term and alter their behaviour accordingly.

Change management professionals can win over employees in the awareness and desire phases by highlighting the advantages of AI. This could involve sharing case studies of competitors who have successfully used the technology or demonstrating how AI tools would fit their workflows. These practical examples can inspire curiosity instead of fear.

During the knowledge and ability phases, education is absolutely critical. Consider organising AI training workshops or bringing in outside experts to teach new skills. When employees feel empowered, they’re more likely to embrace change initiatives. Plus, professional development will help foster a company culture centred around continuous improvement.

Kotter’s 8-step change model

John Kotter created a more extensive model for building change capability within organisations. It has eight stages, including:

• Create a sense of urgency: Make people feel excited and passionate about the upcoming change.
• Build a guiding coalition: Assemble an A-team of change leaders who will shepherd the business through the transition.
• Form a strategic vision: Tell a convincing narrative about how the change will help the business accomplish its goals.
• Enlist a volunteer army: Bring together individuals who are eager to contribute to the change.
• Enable action by removing barriers: Develop solutions for any obstacles you encounter.
• Generate short-term wins: Celebrate achievements to build momentum and keep the team motivated.
• Sustain acceleration: Keep your foot on the metaphorical gas pedal after your early accomplishments.
• Institute change: Reinforce new behaviours and mindsets until old habits fade from memory.

Businesses often use Kotter’s framework for digital transformation. For example, your AI coalition might consist of Data Analysts, IT specialists, and communication experts. And your marketing department might happily volunteer to test a new AI tool.

Leading change in the age of AI

AI transformation projects can be highly disruptive, both mentally and operationally. You’ll need strong change management skills to integrate the technology while keeping everyone happy.

Organisational change management begins with strategic planning. This ability allows you to define a clear vision and goals that your team can rally behind. For example, your company might aim to use artificial intelligence to increase productivity by 20% and help employees learn new skills. You’ll also need to clearly explain how the transition will help reach these objectives.

Effective communication is vital, too. You can use many techniques to inform your team throughout the change management process, such as:

• Hosting one-on-one meetings with the managers and employees most impacted by the change
• Organising town halls to address the staff’s concerns and questions
• Sending out weekly updates via email or Slack

The best project management professionals also empower their teams. Encourage your employees to take ownership of organisational change initiatives by asking for their feedback and recommendations. You can also recruit early adopters to train their colleagues and troubleshoot problems. Small gestures like these can go a long way toward implementing change effectively.

An apprenticeship is the best way to gain and implement desired skills. Multiverse’s Business Transformation Fellowship teaches you how to identify opportunities for digital change in your existing organisation. You’ll also learn how to use the latest project management techniques and tools to drive transformation. These valuable skills can help you future-proof your career in the UK’s constantly evolving job market.

Throughout your apprenticeship, you’ll develop hands-on experience as you work on real projects for your current employer. The best part? The programme is completely free for apprentices, and you can continue earning your regular salary while you learn.

Case studies and real-world applications

Researching examples of successful change management can help you plan your own initiatives. Plus, case studies can help you win over stakeholders who may not be fully sold on your strategic vision.

At Marks & Spencer, for instance, AI is a significant focus in practically every department. The marketing team recently launched a new AI tool that offers personalised recommendations for wine. The company also uses an AI platform to manage its supply chain. What’s the secret to its success? Marks & Spencer rolls out changes gradually and partners with outside tech companies to help build its AI applications.

Small businesses have conquered the AI change process, too. Take Phoenixfire Design & Consulting, for instance. This UK-based marketing firm uses budget-friendly AI tools like ChatGPT to generate content ideas. Founder John Fuller notes that the company had to overcome a learning curve on its transformation journey: “We got a huge bump in efficiency once we worked out the prompt engineering.” Now, Phoenixfire drafts projects with AI and finishes them with human creators.

Along with reading case studies, you can set yourself up for success by following these best practices for organisational change:

• Have a clear and inspiring strategic direction.
• Acknowledge employees’ anxieties about AI and offer resources to help them adapt.
• Keep up with the latest techniques by joining professional organisations like the Change Management Institute.
• Monitor progress with performance metrics, such as employee productivity and engagement with AI-generated content.
• Use community-based learning to build your team’s confidence and spark curiosity. For example, you might invite an early adopter to demonstrate how they use AI to edit videos or engage clients.

Guide your organisation (and your career) into the future

Successful change management doesn’t happen by accident, especially when AI is involved. You need the right attitude and strategies to guide your organisation through a huge transformation. And, of course, the skills to manage complex projects.

Strengthen your change management skills with Multiverse’s free Business Transformation Fellowship. This apprenticeship will help you develop the agile mindset and leadership capabilities needed to spearhead organisational change efforts. You’ll also learn how to use data to drive transformation as you complete real projects.

Take the next step on your change management journey by filling out our quick application.

You’ve probably already used AI tools like ChatGPT to help craft the perfect email subject line or come up with a snappy Instagram caption. AI coding works in a similar way. It uses large language models to support or even automate software development. But instead of generating sentences or images, it produces lines of code.

AI coding tools make programming faster and more accessible for everyone — not just expert developers. All you need is the right mindset and some foundational knowledge. Here’s how you can use this fascinating technology to build smart applications with less code.

Understanding AI coding: What is it (and isn’t)

An AI coding tool refers to any platform that assists users with the software development process. Take Snyk Code, for instance. It scans code to detect security vulnerabilities and automatically fixes them. But it can only edit existing code, not generate new code from scratch.

By contrast, AI coding involves co-writing code with artificial intelligence software. This human-machine collaboration can take many forms.

Some applications, like GitHub Copilot, offer relevant suggestions as you code, helping you program much faster. This type of software requires some knowledge of programming languages. For example, if you can only write very basic HTML, GitHub Copilot won’t spontaneously generate thousands of lines of Python code. It needs your code as the foundation.

On the other end of the spectrum, low-code and no-code platforms allow users to build apps with minimal technical expertise. These tools are a great option for people who want custom programs without hiring a professional.

No matter which tool you choose, AI coding is an inherently collaborative process. Artificial intelligence can’t fully replace developers; it can only augment them.

As LeetCode founder Winston Tang explains, “[S]software engineering goes beyond mere coding. It involves creativity, problem-solving, and innovation — qualities AI cannot fully replicate.”

In other words, an AI code completion tool can help you do some of the heavy lifting, but the programming process still needs that all-powerful human touch.

Why AI coding matters for upskillers

At first, AI code generation may not seem very relevant if you’re not a professional Software Developer. After all, you probably don’t spend much time writing JavaScript for fun or coding mobile apps.

But AI coding can be incredibly useful. It lowers the barrier to entry for careers that may only require occasional coding knowledge.

For instance, a Product Manager might need to troubleshoot software issues without writing the code themselves. An AI code explanation tool can help them understand what they’re looking at — no coding bootcamp necessary.

AI coding also has many benefits for career changers and upskillers. It can help you write better code than you’re capable of producing on your own, allowing you to take on more complex projects. Instead of spending years preparing for a junior developer role, you might be able to create a strong portfolio in just a few months.

Other practical applications for AI code generation tools include:

• Analysing other developers’ source code to learn how their applications work
• Experimenting with more advanced features
• Rapidly prototyping
• Automating repetitive tasks, such formatting text and generating documentation

How to start AI coding (even with minimal experience)

You don’t need a computer science degree to begin coding, but you will need to understand some basic concepts.

AI-assisted platforms like ChatGPT and Microsoft Copilot can help you learn the fundamentals of programming languages. They use natural language to explain technical concepts and can personalise their responses to match your skill level. For example, you might input, “Can you explain what a variable is in JavaScript?” Or you could request a custom study plan for total novices.

AI tools can also teach you how to read and understand other people’s code. Use software like Denigma to analyse Python code snippets, or ask ChatGPT to break down what they mean like you’re a kindergartener. This strategy can help you test your knowledge and learn more about the inner workings of real applications.

Debugging is another invaluable coding skill. Ask ChatGPT to generate buggy code, and see how long it takes you to come up with a solution. When you get stuck, ask for a hint or two until you can figure out a fix. This game might occasionally feel frustrating, but it’s an excellent way to sharpen your critical thinking and problem-solving skills.

Of course, you’ll need to put your new coding abilities to the test. Sandboxes and notebooks like Google Colab and Replit are the perfect place to experiment in private. These platforms both have free versions, so you can play with code as much as you’d like without worrying about your budget.

As you immerse yourself in all these great resources, be sure to build small and build often. You might create a simple weather app one week, then an internal chatbot the next. As you become more familiar with the development process, your confidence and skills will grow quickly.

Key AI coding tools to know (and how to use them)

With so many AI platforms available, you may feel like a video game lover at a Nintendo sale — excited and ready to splurge. But you don’t need to learn everything at once. Set yourself up for success by picking just two or three applications to build your AI skills, then branch out from there.

Take the first step by trying out some of these tools:

• GitHub Copilot: This popular AI powered code completion tool offers tailored suggestions in real-time. It also automatically reviews your code and gives feedback to help you improve.
• Replit AI: With its no-code development tools, this platform is perfect for beginners. Simply describe your ideal app or website to the Replit Agent, and it will automatically turn your vision into a reality. If you prefer a more hands-on approach, Replit’s Ghostwriter tool will complete your code and even convert it to different programming languages.
• Windsurf (formerly Codeium) / Tabnine: Use these tools to write clean and consistent code quickly. They’ll edit, test, and iterate your project until it’s ready to launch.
• AskCodi: This user-friendly AI assistant is perfect for generating code and documentation. It also provides smart code explanations so you can truly understand the ins and outs of programming.
• Flowise: This low-code platform’s drag-and-drop interface makes it easy to build custom AI agents and chatbots.

Common use cases for AI coding

Businesses in all industries rely on programming languages to handle complex tasks. Even if you’re not a professional Software Developer, here are a few practical ways that AI coding can assist with your work.

Web applications

There are countless reasons why someone who isn’t a Web Developer might decide to build a website. If you’re applying for jobs, a professional website is the perfect place to showcase your portfolio and resume. Or maybe you just want a small corner of the internet where you can talk freely about your hiking trips or shoe obsession.

With an AI code generation tool, you can develop your dream website in hours. Copilot, for instance, can help you build the frontend of your site with HTML and JavaScript. This tool gives you much more freedom than conventional web builders like SquareSpace and Wix, which only offer pre-made templates.

Chatbots and automation

Conversational AI chatbots have become all the rage with businesses. It’s easy to see why. They can automate many workflows, including:

• Answering basic customer questions, such as “How long does delivery take?” and “When will this shirt be back in stock?”
• Qualifying leads
• Gathering contact information
• Scheduling consultations

Use tools like GPT-4 and LangChain Templates to build intelligent chatbots with minimal coding.

Data science and analysis

Employees spend an average of 36% of their work week on data tasks, according to the Multiverse Skills Intelligence Report. Yet 86% have no Python skills, and 53% struggle to analyse data efficiently. That adds up to a lot of wasted time and potential.

Expand your skill set by using an AI code completion tool for Python scripting. For example, you can use Python to mine data from social media platforms and websites. This programming language is also helpful for building data structures and generating data visualisations.

These applications don’t take much time to develop with a code generator and can go a long way toward boosting productivity.

API integration and backend workflows

Even the most basic applications have a lot going on under the metaphorical hood. Code generation tools like Copilot can help you develop APIs to link your app to other platforms. They also assist with constructing data pipelines and other backend functions. That way, your sites can function as efficiently as possible.

Best practices for building with AI support

For a beginning coder — or even someone more seasoned — working with an AI coding assistant can feel downright thrilling. There’s something deeply satisfying about seeing neat lines of code generated based on your input.

But don’t get too carried away. While AI powered tools can support your growth, they can also stifle it if you rely on them too heavily.

Follow these tips to strike a healthy balance:

• Start with a plan: Some AI tools let you input natural language descriptions (“build a mobile app to track the time the sun sets each day”), while others require code snippets. Take the time to create pseudocode or prompt outlines to guide the development. That way, you’re sharpening your programming skills instead of letting AI do all the work.
• Don’t try to learn multiple programming languages at once: While platforms like ChatGPT can teach foundational programming concepts, true understanding takes time and practice. Focus on mastering one language before moving on to the next. Otherwise, you might find yourself struggling to tell the difference between Java and C# or forgetting what a string is.
• Resist the urge to blindly copy AI generated code: Sure, this code might be perfectly functional. But you’re not learning anything if you just copy and paste it into your application. Take the time to carefully read each line, and use a code explanation tool to interpret confusing snippets. You should also conduct thorough testing to make sure the code actually works. These steps will help you expand your knowledge and avoid overreliance on AI.
• Use version control early: Get in the habit of using GitHub repositories to track every change you make to your code. This practice makes pinpointing and fixing errors much easier, because you can simply go back to the moment when things went haywire.
• Collaborate with others: While AI can provide invaluable code assistance, it’s no replacement for human interaction. Set aside time for pair programming with your mentors or peers. They can share their personal experiences and teach you coding tactics that you’d never learn from a machine. It’s one of the best ways to upskill while building meaningful connections in your field.

Where Multiverse fits in

You already know that you can gain a healthy amount of coding knowledge simply by using the right AI tools. But for more in-depth technical expertise, consider a Multiverse apprenticeship.

Apprentices gain hands-on experience through structured coursework and real-world learning opportunities. For example, the Business Transformation Fellowship teaches you how to use AI and data analytics to drive change in your organisation. You’ll learn how to identify growth opportunities and manage cross-functional projects.

Meanwhile, the Software Engineering programme focuses on foundational development techniques and tools. You can expand your AI skills as you build full-stack applications and study various programming languages.

An apprenticeship is the best way to gain practical experience with the latest tools in your field, such as AI-assisted development environments and data visualisation software. And it’s completely free for apprentices. You’ll continue working in your current role while developing your skills during protected off-the-job time.

AI coding is the future — Start now

Say farewell to expensive coding bootcamps and endless Java tutorials. With artificial intelligence, programming is more accessible — but also more essential — than ever before.

Developers have created AI tools for virtually every coding task, from interpreting programming languages to patching potential security vulnerabilities. But these applications don’t just help you deliver a polished final product. They’re also valuable resources for gaining coding experience more quickly and efficiently.

Ready to start building? Learn how to code with AI while gaining real-world experience in one of our paid apprenticeship programmes. Complete our quick application to learn more.

You might assume that tech experts are behind this rapid adoption, but that’s not strictly true. Sure, plenty of Machine Learning Engineers and other specialists are using advanced AI tools. But people across all roles and experience levels are taking advantage of it, too. With so many beginner-friendly options, AI is truly a jack-of-all-trades kind of technology.

This guide breaks down the best AI tools for your everyday work. We’ve got something for everyone — from marketers to analysts, career changers to developers, and paid or free users.

What are AI tools? A quick primer for beginners

AI tools include any software that’s powered by machine learning or large language models (LLMs). These applications use complex algorithms — or snippets of code — to process data and perform tasks.

While artificial intelligence is still relatively new, developers have already created many types of tools, including:

• Automation software
• Chatbots
• Code assistants
• Image recognition software
• Task management tools
• Text and image generators

Contrary to popular belief, most AI software doesn’t require any technical skills. All you need is a little curiosity and the willingness to experiment.

Must-have AI tools for everyday workflows

Popular AI tools like ChatGPT and Microsoft Copilot have quickly become household names, even for non-techies. But these applications only scratch the surface of everything that’s available.

Here are seven types of AI tools to consider adding to your work routine. Some are ground-breaking AI models, while others are familiar software with new AI powered features. Together, they can help you jumpstart your creativity and reach new levels of productivity.

1. Writing and content creation

Even the most creative people can sometimes feel bogged down by the writing process. Brainstorming, drafting, editing, then drafting again — it’s a lot of work, to put it mildly. Content creation tools can help you speed up these steps and improve the overall quality.

For a free AI writing tool, you can’t go wrong with the classic ChatGPT. It’s perfect for brainstorming ideas for virtually any type of content. For instance, you could ask it to generate social media captions with prompts like, “Suggest 10 pun-filled captions for a photo of a golden retriever eating an ice cone.” Or request content ideas for how-to videos and email newsletters.

ChatGPT can also generate long form content, such as:

• Case studies
• Ebooks
• Entire blog posts
• White papers
• YouTube scripts

Meanwhile, Jasper.ai is designed for marketing teams. This AI writing assistant learns your brand voice and generates marketing copy that matches it flawlessly. With over 90 built-in marketing apps, it can create product descriptions, blog posts, and more.

AI tools assist with the editing process, too. Grammarly and Wordtune correct grammar mistakes and help maintain a consistent tone. Both applications integrate with Google Docs, so you don’t even need to switch to a new platform to check for mistakes.

Most content creation tools have free versions with basic features. But it’s often worth investing in paid plans for custom, high quality outputs.

1. Visuals and creative assets

Most businesses need a virtually endless supply of creative assets. For example, if you plan to publish two social media posts a week, you’ll need over 100 images or videos a year. Producing all this content with traditional tools can be incredibly time-consuming. That’s why many companies are turning to AI for assistance.

Canva’s Magic Design is one of the best AI image generators for beginners. All you need to do is describe what you want to see with text, and voila — you’ve got dozens of matching images. This platform is the ideal tool for creating social graphics and stylish slide decks for presentations.

DALL-E and Midjourney are slightly more advanced image generation tools. Like Canva, they create visuals based on written prompts. Their outputs can vary drastically based on how you phrase your request, so take the time to experiment with different inputs.

And don’t overlook video creation platforms like Lumen5 and InVideo. They let you generate short films based on text — no video editing skills or cameras required.

1. Productivity and admin

Every career involves repetitive or just plain tedious tasks. For instance, you might respond to the same customer questions over and over. (“How long will it take my product to ship?”) An AI assistant can automate this busy work, so you can focus on more meaningful activities.

Here are some of the best AI productivity tools:

• Notion AI is a great tool for summarising meetings and planning tasks.
• Otter and Fireflies automatically transcribe audio files and recap meetings
• Superhuman and Sanebox use AI to help you manage your inbox and draft emails.

These handy applications can significantly shrink your to-do list, reducing stress. Plus, they help prevent errors, like forgetting to respond to your boss’s urgent email or overlooking an action item after a standup meeting.

1. Project and task management

No matter your career stage or role, chances are you work on complex projects with a lot of moving parts. Use these AI powered project management tools to stay organised and meet deadlines:

• Trello’s AI features include intelligent task suggestions and decision-making tools.
• ClickUp is one of the best AI tools for task management and reporting.
• Asana AI automates tasks, generates status updates, and suggests next steps.
• Slack AI improves team collaboration by summarising conversations and answering questions about projects.

1. Coding and technical work (for beginners, too)

AI software can also assist with technical tasks. The best part? Most of these tools don’t require in-depth coding knowledge.

The majority (91%) of Web Developers now use AI tools to generate code. One of the most popular applications is GitHub Copilot, which analyses your code and offers suggestions to improve it. Essentially, it’s a co-writer that helps you program faster. It also detects and fixes bugs, allowing you to create more accurate code.

Similarly, Replit’s Ghostwriter automatically completes your code and explains how other developers’ applications work. This AI assistant is especially helpful for junior developers who want to learn by doing.

AskCodi is another AI coding assistant that automates small tasks. For example, you can use this application to generate code snippets and write documentation.

1. Data and analysis

The average professional spends around 14 hours a week completing data tasks — yet over four of those hours are spent working inefficiently, according to the Multiverse Skills Intelligence Report.

The good news is that there are plenty of user-friendly AI tools that can help you analyse data more efficiently, including:

• ChatGPT can generate Excel formulae to manage complex spreadsheets.
• MonkeyLearn is a no-code platform for text processing. It lets you analyse sentiment in emails, social media posts, and other qualitative datasets.
• Power BI and Tableau offer AI powered features like forecasting and intelligent data visualisations.

In the UK, the demand for data skills has increased by 158% since 2013. These AI tools can help you future-proof your career and take on more advanced, data-driven responsibilities.

1. Career and personal growth

UK businesses in all industries are facing a critical digital skills gap. Artificial intelligence can help you develop new abilities and attract the attention of potential employers.

Expand your skill set with Multiverse’s AI Skills Jumpstart course. This module covers fundamental AI skills like prompt engineering and data modelling. It also teaches you how to ethically use this technology in your daily workflows.

When you’re ready for a new role, optimise your job materials with LinkedIn’s free AI resume builder. Or use Rezi to write cover letters and resumes. Just be sure to add your own voice to the final versions. Employers can sniff out purely AI generated content immediately, and they might overlook your application if they think you didn’t put in any effort.

How to choose the right AI tools for your role

With so many options, it’s natural to feel a little lost. Overwhelmed, even. But you don’t need to try every tool at once.

Start by researching how other professionals in your field are using artificial intelligence. You’ll find plenty of industry-specific conversations about this technology on LinkedIn, online forums, and even podcasts. Surveys can also provide valuable insights about what works — and what doesn’t.

In the marketing industry, for instance, UK professionals already use AI content generators to create 36% of their social media content. Meanwhile, Data Analysts typically rely on AI tools to automate tasks like cleaning and processing datasets.

Once you’ve got a sense of how AI tools work in your sector, you can begin assembling your toolkit. Choose platforms that offer a free tier or detailed demos so you can make sure they meet your needs before committing to a paid plan.

Here are a few AI starter packs for different careers:

Marketers:

• A large language model (ChatGPT, Jasper) to assist with the content creation process and prevent writer’s block
• Ocoya for social media management and AI generated content
• Midjourney for speedy image generation
• SEO.AI for keyword research and AI writing assistance
• Invideo for video generation

Analysts:

• Tableau for sophisticated data analysis and accessible AI models
• KNIME for predictive analytics and data modelling
• Canva Magic Design to present findings to business leaders and stakeholders

Software Developers:

• GitHub Copilot for fast and accurate coding
• ClickUp to manage Agile workflows
• Figstack to explain code and automatically translate it to another programming language

But don’t get too caught up in other people’s recommendations. Ultimately, AI tools should help you do your job, not someone else’s. In other words, don’t spend time learning Midjourney if a Graphic Designer handles most of your organisation’s creative assets.

Building real-world experience with AI tools

There are plenty of free tutorials and other resources for artificial intelligence platforms. However, reading about this technology can only take you so far. To truly understand its potential and limitations, you must actually apply it in your work routine.

A Multiverse apprenticeship lets you practise using AI tools in real business settings. You’ll learn how to integrate software like ChatGPT and project management AI in your existing role. This might involve automating some of your workflows (goodbye, repetitive data entry) or using an AI writing assistant to generate ideas.

Apprentices also build their skills with industry-specific tools. For instance, the 13-month Data Fellowship teaches you how to use PowerBI and Tableau for advanced data analytics. By contrast, the AI for Business Value apprenticeship focuses on data modelling and productivity tools.

Multiverse apprenticeships are fully paid for by employers and include protected time for on-the-job learning. They’re an excellent way to upskill without interrupting your career.

Learning how to use AI tools benefits your organisation, too. According to the ROI of AI report, approximately half of tech leaders say their businesses lack critical skills, such as data analytics and the ability to implement AI projects. By expanding your personal skill set, you can help close that gap and drive change within your organisation.

Best practices for integrating AI models and tools into your work

Experimenting with new technology is always thrilling, but don’t rush into adopting AI tools. Follow these guidelines to make sure you’re using it responsibly and effectively:

• Double-check all AI outputs: Like humans, AI can make silly or even dangerous mistakes. For example, AI generated content sometimes contains misleading medical advice. Always review and improve outputs to protect your clients and reputation.
• Use thoughtful prompts: Content creation tools are only as effective as the inputs you provide. Always give the software the necessary context and request a specific tone. You can also explain your goals — “I want to persuade my target audience of 30-something pet owners to buy my leashes” — to help the AI generate the most relevant content.
• Set ethical boundaries: According to Forbes, one in three Brits (37%) feel concerned about the ethical implications of artificial intelligence. You can soothe these anxieties by prioritizing consent and transparency. Always ask customers for permission before inputting their data into AI tools, and clearly explain how you plan to use this technology. You should also carefully review AI generated content for any signs of bias, such as only creating images of one race or gender.
• Encourage consistency: AI tools work best when you treat them as part of your routine, not a novelty. For example, you might summarise meeting notes every Friday with Otter or generate social media posts twice a week.

Multiverse and the future of work

It’s no secret that artificial intelligence is accelerating and transforming the way we work. The IPPR predicts that this technology may disrupt up to 8 million jobs in the UK over the next few years.

The right training can help you adapt to these changes and stay competitive. While it’s possible to learn many AI tools on your own, Multiverse’s structured apprenticeships are the best way to gain hands-on experience. Our structured curricula teach you how to apply artificial intelligence in business and technical environments. You’ll also receive one-on-one mentorship and career coaching from industry experts to help you achieve your goals.

Our AI Jumpstart module is the fastest way to gain foundational knowledge and skills. You’ll learn how to use this technology to generate ideas, solve problems, and more. For more in-depth training, consider our Data Fellowship or Business Transformation Fellowship.

Start small, experiment often, and upskill along the way

Developers may have originally created artificial intelligence, but it’s no longer their exclusive domain. Anyone can benefit from this technology. AI image generators, productivity tools, video editing software — there’s truly something for everyone.

Join the tech revolution by experimenting with two or three free AI tools from our list. As you gain confidence, you can gradually expand your repertoire and try even more sophisticated software.

Or maybe you’re ready to deepen your knowledge and learn more about the theory behind this technology. A Multiverse apprenticeship could be exactly what you’re looking for. Explore our free AI programmes, or fill out our quick application today.

Today Multiverse, the upskilling platform for tech and AI adoption, announces a commitment to train 15,000 new AI apprentices over the next two years. This ambitious initiative supports the UK Government's AI Opportunities Action Plan, laying out a tangible first step towards expanding pathways into AI careers across the nation.

The adoption of AI technologies is projected to contribute £79.3 billion to the UK economy by 2035, but businesses urgently need skilled workers in order to realise these gains. More than half of workers have received fewer than five hours of training on AI, and just one third (34%) of FTSE 100 companies reference AI training in their latest annual reports.

These new AI apprenticeships will be created and delivered in partnership with leading employers across the country, including Skanska, John Lewis Partnership, Visa, The University of Manchester and Legal & General, ensuring that AI opportunities are not confined to certain regions.

Multiverse’s existing AI learner base spans geographic locations. More than 2,200 AI apprentices are currently enrolled through over 200 employers, from Wigan to Wiltshire and Manchester to Maidstone, demonstrating the nationwide demand for these critical skills. The 15,000 new AI apprentices will join their ranks, creating a nationwide community of AI experts that will boost the productivity and innovation of their organisations.

Science and Technology Secretary, Peter Kyle said: "Cutting-edge technologies like AI are transforming the way our economy works, so it is vital that British people have the right skills to make the most of the new opportunities tech presents. These efforts are central to the ambitions for jobs and growth, at the heart of our Plan for Change.

“Multiverse's commitment to thousands of AI apprenticeships will help us achieve just that, backing people right across our country to develop the skills they need to for a career in AI, no matter where they live.”

Katy Dowding, President and CEO at Skanska, said: “The construction industry is a key driver of economic growth, and we are equipping ourselves with the core foundational skills in AI that will ensure we can support our customers in delivering their ambitions, drive efficiency and improve productivity. Our first 25 AI apprentices are already showing the great potential of these technologies.”

Financial services provider Legal and General recognised the opportunity to proactively adopt responsible AI across its functions through upskilling. It has 50 apprentices on AI programmes.

Derrick Hastie, Chief Technology Officer, Asset Management, L&G said: “AI isn't just a buzzword for us; it's a critical enabler of efficiency and growth. AI will soon be embedded in all our delivery teams, to help us create innovative solutions for our customers. But technology alone isn't enough. Education and skills are essential to ensure our people aren't just observers of change — they're active architects of it.”

Baroness Martha Lane Fox, Non-Executive Director at Multiverse, said: "The promise of AI will remain unfulfilled unless all kinds of people possess the skills to truly harness it. This is no longer a distant concern but an urgent agenda in boardrooms nationwide. Training is a vital conduit to productivity, ensuring that the UK workforce is not just AI-literate, but AI-fluent, and capable of turning potential into prosperity."

Euan Blair, CEO, Multiverse, said: "Whether it's impacting you directly yet or not, we are already undergoing an AI revolution - and the key to winning in this new era lies in augmenting human capability. Our commitment to 15,000 AI apprenticeships is a bold declaration that AI skills must be for everyone, at every stage of their career. We want to equip entire organisations with the ability to seize the opportunities AI offers and build the workforce of tomorrow."

The new AI apprentices will enrol through their employers as early as June, either coming in as new hires or through upskilling initiatives for existing staff, and programmes will be funded by the Growth and Skills Levy. Learners will develop skills tailored to their requisite level of expertise, from AI ethics and prompt engineering, to data management and governance, to building and deploying machine learning and AI models.

All programmes will be delivered by industry-expert coaches, with apprentices’ new skills applied within the day-to-day requirements of their roles. Business impact is measured through projects, in the form of new revenue unlocked by skills, or costs avoided through additional productivity.

Rachané Bryan-Henderson, an account manager at advertising agency BBH, part of Publicis Groupe, said: “As someone who didn’t go to university I didn’t take a “traditional” pathway. The experience I gained through working has stood me in good stead, but AI now gives me an even greater advantage. By applying these new skills in my role I’m able to lead the way in my company, putting AI to use as we grow.”

For more information on apprenticeships, visit the Government’s Find an Apprenticeship service.

Professional services company Capita has enrolled nearly 200 apprentices onto AI programmes across its UK offices, from Bradford to Bristol. Adolfo Hernandez, Capita’s CEO, said: "Developing our colleagues’ AI proficiency is not just about identifying opportunities for efficiency, but about future-proofing our workforce and driving innovation across our organisation. By combining people, processes, and technology we help our clients across the public and private sectors deliver better, faster, and more efficient services to customers and citizens. We see AI as a once-in-a-generation shift that will redefine how organisations operate, and Multiverse's approach ensures our colleagues gain practical, job-relevant AI skills that make an immediate impact."

Nottingham City Council is upskilling 40 of its staff in AI, the latest step in its efforts to digitally transform its workforce. Sajeeda Rose, chief executive of Nottingham City Council, said: “As a council we are always looking for ways to bring better services to the people of Nottingham.Combining data insights with AI capabilities will help us to effectively deliver on our improvement plan.”

Mandy Lamb, Managing Director, Visa UK and Ireland, said: “Visa has been harnessing the power of AI for decades. We see AI as a catalyst—not just for technology, but for talent. We’re excited to be investing in the next generation of leaders who can harness the power of AI and continue to help shape the future of payments.”

Swim England, the national governing body for swimming in England, has partnered with Multiverse to launch a new data and AI skills programme for its employees. The initiative aims to empower Swim England staff with the expertise needed to supercharge its mission of great experiences for all involved in aquatics and has been supported by an apprenticeship levy transfer from Amazon.

Beginning with an initial pilot, Swim England plans to enrol 30 apprentices onto Multiverse programmes over the next year. This investment in data and AI literacy will enable Swim England to better analyse participation trends, optimise programme delivery, and measure the impact of its initiatives.

Training programmes will include AI-Powered Productivity, AI for Business Value and Data and Insights for Business Decisions. The resulting data and AI skills will play a key role in Swim England’s digital transformation journey, empowering staff to make data-driven decisions, streamline processes, and reduce manual administrative tasks.

Training is being delivered by Multiverse, a tech company that identifies, closes and prevents skills gaps, through personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.

Maria Papadopoulos, People Director at Swim England said: “Data is crucial to understanding how we can best lead and serve our aquatics community and grow swimming participation. This partnership with Multiverse will equip our team with the skills to use data and AI effectively, ensuring we can make informed decisions and maximise our impact.”

Gary Eimerman, Chief Learning Officer at Multiverse,said: "By investing in skills, Swim England is empowering its employees to drive innovation and make a real difference in the health and engagement of communities across the country."

Multiverse combines work and learning to unlock economic opportunity for everyone. It works with more than 1,500 organisations to close critical skill gaps in the workforce in AI, data and technology.

The Academy includes staff from major areas of the Council, from public health to public transport, and children’s services to neighbourhood safety. Training will equip employees with practical, applied AI skills, enabling them to reduce manual work, enhance decision-making, and unlock innovation in their day-to-day roles. It aligns closely with the council’s strategic drivers, including boosting productivity, minimising external spend, and improving resident outcomes.

The programmes are being delivered by Multiverse, the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016, and has been a longstanding training partner for the Council.

Previous Nottingham City Council data learners have already improved individual efficiency in working with data by 21%, with the average learner projected to save more than one working month per year in improved productivity by end of programme.

The new cohort has enrolled on the 13-month AI for Business Value programme, a Level 4 apprenticeship. This will train staff to identify business value gains that can be achieved through using AI, as well as how to execute ethical AI projects for the benefit of local people. These new skills will help ensure more sustainable and effective public services.

Sajeeda Rose, Chief Executive of Nottingham City Council said: “This expanded Data and AI Academy allows us to combine data insights with AI capabilities, putting us in a strong position to deliver on our improvement plan. We’re striving to be a council that works more effectively and efficiently for the people of Nottingham, and the skills acquired through our partnership with Multiverse will help us to achieve this goal.”

Gary Eimerman, Chief Learning Officer at Multiverse said: “Building on nearly four years of Multiverse training, Nottingham City Council’s latest cohort is taking the next step in digital skills development: AI literacy. These are key credentials that will further empower the council to deliver tangible benefits to their residents, from community services to transportation, while enriching the careers of their teams.”

Multiverse combines work and learning to unlock economic opportunity for everyone. It works with more than 1,500 organisations to close critical skill gaps in the workforce in AI, data and tech, through a new kind of apprenticeship.

The University Hospitals of Northamptonshire (UHN) have launched a Data Academy for a wide range of staff working across clinical, operational, administrative and data-focused roles. By increasing the operational efficiencies of both patient and non-patient facing staff, the Academy aims to improve patient experience and outcomes, boost employee job satisfaction and enable UHN to get more value from its digital investments.

Funded by the Apprenticeship Levy, the training is being delivered by Multiverse, the upskilling platform for AI and tech adoption. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016, and works with 100 NHS trusts, empowering their employees to unlock innovation and improve patient care through its dedicated NHS Coaching team.

UHN’s new Data Academy will see staff with roles in theatres, pharmacy, quality and clinical coding enrol across four different programmes. Multiverse’s Level 3 Data & Insights for Business Decisions develops analytical and technical skills to use data to identify areas for improvement and enact change. The Level 4 Data Fellowship will help drive measurable impact by upskilling staff to harness tools like Power BI, while the Level 4 Business Transformation Fellowship will enable staff to develop digital solutions and support strategic change.

Multiverse will also deliver its three-year Level 4-6 programme Advanced Data Fellowship, an applied degree-equivalent course that builds on data capabilities and upskills staff in areas such as data infrastructure and machine learning.

Learners’ projects will contribute to real organisational initiatives such as reducing patient waiting times from referral to treatment, and improving theatre utilisation.

Jayne Chambers, Transformation Programme Manager and data apprentice at UHN, said: “Data skills have been transformational for me. Though I came to this programme later on in my career, I’ve found that the learning I’ve applied to my role has already been impactful in helping me create sense out of disparate data sources and truly drive change.”

William Monaghan, Group Chief Digital Information Officer at UHN said: “This academy has already proven itself to be the gateway to a far more data-enabled organisation. Our view has been those closest to the change are those who will always know best what needs to change. By equipping our colleagues with the skills to better interpret and use data, we’re not only making the care we deliver safer and more efficient but more importantly, ensuring our patients receive the excellent care they deserve.”

Gary Eimerman, Chief Learning Officer at Multiverse said: “Across the healthcare sector, we’re seeing that when staff are empowered to understand and act on data, it leads to smarter decision making, average time savings of 7.4 hours per week and greater opportunities for cost reduction and cost avoidance. It’s incredibly rewarding to support organisations like University Hospitals of Northamptonshire as they drive meaningful change through data that ultimately helps create better patient outcomes for all they serve.”

Multiverse combines work and learning to unlock economic opportunity for everyone. It works with more than 1,500 organisations to close critical skill gaps in the workforce in AI, data and tech, through a new kind of apprenticeship. Multiverse has delivered more than £10M+ in savings for NHS trusts through the application of new digital skills, helping to build an NHS workforce that’s fit for the future.

You can’t bring your desk or your work friends when you change jobs, but you can take your transferable skills. These abilities apply across many different roles and industries, making them uniquely portable. For example, someone transitioning from data engineering to product management may never build a data pipeline again. But their problem-solving skills? Invaluable in both roles.

Transferable skills are more important than ever as major changes ripple through the job market. Experts predict that the rise of artificial intelligence (AI) may disrupt up to 8 million UK jobs. At the same time, a digital skills shortage could cost the UK economy £27.6 billion by 2030. These trends have inspired many aspiring career changers and upskillers to invest in transferable abilities that can help them adapt.

The good news? You probably already have some of these skills, even if you don’t realise it. This guide spotlights examples of transferable skills and shares practical strategies for gaining them.

What are transferable skills?

Transferable skills are abilities that you can apply across careers and industries. Unlike job-specific skills, they typically stay relevant for many years.

For example, your knowledge of how to format emails in Mailchimp may become obsolete in a decade — or tomorrow, if your new boss doesn’t use the platform. But employers will continue to value your communication skills and ability to create beautiful visuals.

These abilities fall into two categories:

• Hard skills: Technical abilities that you can use anywhere, such as data analysis and project management.
• Soft skills: Personality traits and behaviours that help you interact with others and complete tasks.

Traditional employment can help you pick up some of these transferable abilities, but it’s not the only way. Apprenticeships are a great way to learn coding and other technical skills while getting paid. You could also pursue certifications or take online classes.

And don’t discount informal opportunities to build transferable skills, such as:

• Hobbies
• Volunteering
• Interacting with family members and friends

Hosting a board game night? Time to work on your conflict resolution and negotiation skills. And nothing will stretch your communication skills (and patience) more than coaching your kid’s football team or volunteering at their school.

Types of transferable skills

Your current job may require niche knowledge — like the ability to troubleshoot that glitchy accounting software your company has used since 2008. But when employers seek transferable skills, they’re looking for much broader abilities. It’s like choosing a toolkit: You don’t need a set of 12 fancy hammers when your sink breaks.

With that in mind, here are a few in-demand abilities to add to your metaphorical toolbox.

Communication skills

Practically every role involves frequent interactions with colleagues and clients. These must-have communication skills will help you build positive relationships.

Verbal and written communication

Effective verbal communication allows you to express your thoughts clearly to different audiences. You may discuss an extremely technical problem with your IT team, then make small talk with a client over lunch.

Writing skills are just as essential. Casual emails, persuasive proposals — a talented communicator can craft them all. And don’t forget to brush up on your grammar. After all, no one wants to struggle through an incoherent, typo-filled report.

Active listening

Good communication also involves actively listening to other people, and not just their words. Body language can give you subtle cues about the speaker’s emotions and thoughts.

For example, a client might insist that your design is “fine.” But based on their clipped tone and stiff shoulders, well… you know they dislike it. By tuning into these spoken and unspoken cues, you can truly understand what people are telling you and respond appropriately.

Presentation abilities

Most jobs require you to communicate information to all sorts of stakeholders. You might need to win over sceptical leads with a sales pitch or give your boss periodic status updates for a complex project. With excellent public speaking skills, you can confidently relay all the necessary information — and keep your audience engaged the entire time.

Interpersonal skills

Many employers put a lot of value on people skills, especially for client-facing roles. And no, just being nice won’t cut it. You need these soft skills to interact effectively with others in the workplace.

Teamwork

Successful collaboration takes a lot of work, to put it mildly. Even if everyone is perfectly pleasant, different communication styles or personality clashes can lead to major headaches.

Strong teamwork skills will help you find common ground with colleagues and work toward shared goals.

Empathy

Empathy is one of the most underrated interpersonal skills. At first, it might seem like an innate trait — either you care about others, or you don’t. But it’s actually a learnable ability, just like coding or designing a slide deck.

Strengthen your empathy by considering other perspectives and being a good listener. Even simple acts like reading memoirs or watching documentaries can open your eyes to diverse experiences.

Conflict resolution

One in four UK workers has experienced conflict in their workplace in the last year. This can range from snide comments from a hostile coworker to outright arguments.

Improving your conflict resolution skills can help you handle these situations gracefully. For instance, you might create a compromise that satisfies everyone instead of bickering over different strategies. Or you could politely call out a coworker’s toxic behaviour and explain how it’s hurting the team.

Cultural competence

For many UK residents, interacting with people from different cultures has become a part of everyday life. You can build your cultural competence by learning about and respecting different traditions.

Clients from Asia, for instance, might care deeply about hierarchy during meetings, while their American counterparts are more casual. With a little cultural awareness, you can help everyone feel comfortable and valued.

Analytical and problem solving skills

Challenges are inevitable at every stage in your career. These analytical skills will help you conquer any obstacle.

Critical thinking

Workplace problems often have no obvious fixes. Critical thinking skills enable you to analyze all the facts and reason through possible solutions. This can mean the difference between making sound decisions and acting on impulse.

Data analysis

The Multiverse Skills Intelligence Report 2024 found that UK employees spend an average of 14 hours a week on data tasks. Yet 57% of them have no or basic Excel skills, and 55% don’t know how to use Power BI or Tableau.

Learning foundational data analysis concepts and tools can help you assess problems and find the best solutions. For example, you could analyse thousands of customer reviews to pinpoint where your support is lacking. This data can also help you recommend a few improvements, like hiring more representatives or speeding up returns.

Decision-making

Professionals often have to make quick choices. You may need to respond to an angry customer, for instance, or act fast to solve a catastrophic supply chain delay. Strong decision-making skills will help you weigh each possibility and think through potential consequences before you act.

Organisational skills

Every career path comes with a long list of responsibilities. These abilities will help you complete your tasks effectively and meet deadlines.

Time management

When you have an overflowing to-do list, getting everything done can seem impossible. But you can manage your time effectively by prioritising tasks and breaking everything down into smaller steps. And, of course, you’ll need to minimise distractions — goodbye, Instagram and TikTok (at least for a few hours).

Project management skills

Managing complex projects is another essential skill. Software like Asana and Trello can help you monitor all the moving parts and keep everything on schedule. You’ll also need strong budgeting skills to avoid accidentally overspending.

Multitasking

Even the best planners occasionally stretch themselves too thin. True multitasking lets you juggle two or more tasks without — and this is key — cutting corners anywhere. For example, you might catch up on emails while waiting on hold with an insurance company or design a data visualisation during an informal meeting.

Technical skills

While some technologies are only relevant in certain roles, others are practically universal. Here are a few technical skills that you can carry across industries.

Proficient in software tools

Get familiar with some of the most popular software tools, such as Microsoft Office and Canva. These versatile platforms don’t take long to learn, and they can come in handy for any career.

Basic coding or data entry

You might not work in a tech role right now, but a little coding knowledge could still come in handy.

Languages like HTML and JavaScript are relatively easy to learn through online courses or tutorials. You can use these technical skills to update your company’s website or build a portfolio to impress potential employers.

Polish your data entry skills, too. Most businesses need people who can pay close attention to detail and input data quickly.

Familiarity with CRM systems

Companies often rely on customer relationship management (CRM) systems to organise all their client data. You don’t need to learn them all, but consider studying one or two popular platforms. Both HubSpot and Salesforce offer certifications and training to get you up to speed quickly.

How to identify your transferable skills

You’ve probably already acquired a few portable skills from school or previous work experience. Conducting a skill inventory will help you understand your strengths and spot areas where you can improve.

Get started by reflecting on your past experiences and what you took away from them. One easy method is reviewing your past job descriptions and jotting down all the transferable abilities. And don’t forget about informal learning opportunities. For example, you may have gained expert-level project management skills while planning a local charity run.

For a more objective evaluation, take the National Careers Service skills assessment. It takes around 10 minutes to complete and will reveal your existing transferable skills. You could also ask colleagues or mentors for feedback about your abilities.

Developing and enhancing transferable skills

It’s no secret that gaining new skills is a vital part of professional growth. Continuous learning isn’t just about exercising your mind (though that’s certainly a perk). It can also open new career paths or empower you to take on new roles in your current organisation.

Pick a handful of transferable skills to focus on, and look for relevant online courses or workshops. Many professional associations offer affordable training for members. For instance, you could participate in a management workshop to sharpen your leadership skills. Or join your local Toastmasters chapter to become a more confident public speaker.

An apprenticeship is another excellent way to gain practical experience. Multiverse’s upskilling programmes let you learn in-demand transferable skills — without disrupting your current role. These apprenticeships are funded by your employer, so you don’t even have to worry about paying tuition.

Intrigued by the world of artificial intelligence? Multiverse’s 18-month AI & Machine Learning Fellowship will teach you how to use this technology to make smarter decisions and boost your productivity.

Or maybe you’re eager to hone your data analysis skills. The 13-month Data Fellowship focuses on foundational concepts, including data visualisation and machine learning.

Multiverse also offers apprenticeships in Project Management, Transformative Leadership, Software Engineering, and more. These programmes all focus on transferable skills that you can use to future-proof your career.

Gain valuable transferable skills with Multiverse

In 2016, the World Economic Forum’s Future of Jobs Report forecasted that “65% of children entering primary school today will ultimately end up working in completely new job types that don’t yet exist.” This prediction is already starting to come true — just look at recent job postings for brand-new roles like Prompt Engineer and Drone Operator.

Developing transferable skills is key to adapting to current and future changes in the job market. These abilities are valuable assets in any career transition, whether you’re aiming for a promotion or switching to a new industry.

Take the next step on your career journey with a Multiverse apprenticeship. You’ll strengthen your marketable skills and start applying them in the workplace immediately. Explore our programmes to find the right fit, or fill out our quick application.

On the positive side, this crisis offers unique opportunities for workers. By gaining high income skills, you could step into one of those vacancies — and possibly negotiate a higher salary. Or you could significantly boost your earning potential in your current role.

High income skills are in-demand abilities that companies are willing to pay a premium for. They’re often highly specialised skills or ones that are absolutely vital for business operations. For example, companies in all industries need Data Analysts to wrangle datasets.

These skills can improve your job security, even in the face of disruptions from automation and artificial intelligence (AI). But which areas should you focus on? This guide breaks down high paying skills and why they’re so valuable right now.

What are high income skills?

Obviously, no skill can guarantee you a lucrative salary. But some abilities can open the door to higher-paying roles.

High income skills share a few traits:

• They’re highly desirable for employers.
• They take effort to learn.
• It’s impossible or extremely difficult to automate them.
• They transfer across multiple industries.

Take AI and machine learning, for instance. Over half (55%) of UK employers say they’re facing the biggest talent shortages in these areas. It’s no surprise, then, that Machine Learning Engineers earn an average base salary of £62,000 in the UK.

For upskillers, focusing on high income skills can fast-track career development. For example, Simon Page joined Multiverse’s Data Fellowship programme to learn Tableau and other analytics tools. “I’ve moved roles since [completing the apprenticeship],” Page explains. “I’m now a Brand Experience Manager. I used an example from my apprenticeship in my interview, and I got the job.”

Top high income skills to learn

Not every in demand skill will make sense for your career path. For instance, learning cloud computing could make your application more appealing for tech firms, but it probably wouldn’t help you transition to a digital marketing job. Take the time to research industry trends and browse job ads to see what employers are actually looking for.

Here are a few high income skills to consider as you plan your upskilling journey.

Data analysis

Modern businesses have access to a vast ocean of data. Customer reviews, financial statements, web traffic — the list goes on and on.

But many companies don’t have the talent they need to use this information effectively. The Multiverse Skills Intelligence Report 2024 found that this data skills gap causes the average employee to lose around 25 days of productive time every year.

Multiverse’s data upskilling programmes can help you fill this need and boost your efficiency. These apprenticeships teach you how to apply data analysis methods to real datasets. For example, you could perform a time series analysis on sales data to predict when customers will begin buying winter gear.

Gaining proficiency in data science tools can also give you a competitive edge. The Multiverse report found that 57% of employees have no or basic Microsoft Excel skills, and 86% don’t know how to use Python. Stand out by familiarising yourself with Excel formulas and completing online courses.

Career paths

It’s no exaggeration to say that virtually every industry relies on data analysis. In business and finance, for instance, Data Analysts help leaders make smart investment decisions and interpret financial data. In healthcare, these professionals use data for everything from predicting flu outbreaks to planning the best schedule for nurses.

Here are two careers you can pursue with data analysis skills:

Data Analyst

• Average salary: £36,000*
• Key responsibilities:
  • Collect data from many sources, such as financial transactions and surveys
  • Clean and organise datasets
  • Evaluate data to uncover patterns and answer questions
  • Use findings to help stakeholders make informed decisions

Business Intelligence Analyst

• Average salary: £42,000*
• Key responsibilities:
  • Analyse business data, such as sales trends and supply chain reports
  • Use data to answer questions and solve business problems
  • Translate findings into data visualisations
  • Assist business leaders with strategic thinking and planning

*All salary information is based on Indeed data.

Generative artificial intelligence and AI tools

Once seen as a distant fantasy, artificial intelligence has quickly become a must-have technology for businesses. Multiverse’s The ROI of AI report found that 74% of tech leaders plan to invest more in this technology in the next one to two years.

But many employees lack the skills to keep up with this rapid adoption. Around half (51%) have received less than five hours of formal AI training, yet many of them consider themselves experts. This disconnect has contributed to the high demand for people with in-depth AI knowledge.

Get ahead of the curve by mastering the top AI skills, such as:

• Machine learning: This popular type of AI uses algorithms (or snippets of code) to automatically perform specific tasks. For example, Netflix uses machine learning to analyse viewer preferences and recommend rom-coms, horror movies, or whatever suits your fancy.
• Programming languages: AI Engineers frequently use Julia and Python to create machine learning models.
• Natural language processing: Complex algorithms interpret human language and generate responses. It’s why you can hold natural-sounding conversations with AI tools like Microsoft Copilot and ChatGPT.
• Prompt engineering: AI platforms generate drastically different outputs based on your input, so writing savvy prompts is key.

While artificial intelligence is relatively new, there are already plenty of resources to help you gain these skills. Multiverse’s AI programmes cover fundamental concepts like data governance, AI ethics, and use cases. You’ll learn how to kickstart AI projects in your current organisation to gain hands-on experience.

Career paths

Like data analysis, AI and machine learning have many applications in all industries, from agriculture to telecommunications. Mastering these high income skills can lead to these careers, among others:

AI Engineer

• Average salary: £62,000
• Key responsibilities:
  • Program machine learning models and algorithms
  • Design AI solutions for business problems
  • Build data pipelines to feed AI models
  • Train algorithms
  • Test and improve AI systems

Computer Vision Engineer

• Average salary: £63,000
• Key responsibilities:
  • Develop algorithms that can recognise images
  • Collect and analyse visual data
  • Train and test image detection algorithms
  • Collaborate with Data Scientists and Software Developers

Cloud computing and cybersecurity

Many companies have fully embraced cloud storage. It makes sense. Remote employees can access cloud data from home, and there’s no risk of physical servers getting wiped out in a flood or fire.

But this shift has also led to new concerns about data privacy and security. In April 2025, 43% of UK businesses reported that they had fallen victim to a cybersecurity breach or attack in the previous 12 months. That’s why many companies are searching for job candidates with the technical knowledge to protect their information.

Cloud computing focuses on building and maintaining cloud infrastructure. Here are a few skills you’ll need:

• Familiarity with popular cloud services: Many businesses rely on pre-built platforms like Amazon Web Services (AWS) and Microsoft Azure. Master the basics with an AWS Certification or the Azure Fundamentals certificate.
• Database management: Use SQL and NoSQL to build and organise databases.
• Programming languages: Cloud Engineers often use JavaScript and Ruby to develop cloud software.

Cybersecurity is also in high demand, with approximately 44% of UK businesses experiencing a skills gap in this area. Focus on high income skills like:

• Intrusion detection: Use software to automatically scan networks for suspicious activity.
• Incident response: Know how to react quickly if a data breach or hack occurs.
• Communication skills: Even educated professionals can fall for phishing scams and other threats. You’ll need to teach your colleagues how to avoid them.

CompTIA’s Cybersecurity Analyst (CySA+) certification is a great way to start building these foundational skills.

Career paths

These in-demand skills can help you qualify for several tech roles, including:

Cloud Engineer:

• Average salary: £76,000
• Key responsibilities:
  • Develop cloud-based applications and systems
  • Manage cloud databases
  • Secure data in the cloud

Cybersecurity Analyst:

• Average salary: £45,000
• Key responsibilities:
  • Install security protocols
  • Assess the risk of security threats
  • Use ethical hacking to test for weaknesses
  • Respond promptly to incidents to limit damage

Software development

Businesses rely on Software Developers for everything from mobile apps to web development. They design and maintain applications to provide the best user experience.

Essential software development skills include:

• Coding software with C++, Java, and other programming languages
• Debugging software
• User experience testing
• Soft skills like problem solving and creative thinking

Some Software Developers teach themselves how to write code and build their skills with personal projects. But a structured learning programme is usually much more efficient. Multiverse’s Software Engineering programmes combine educational modules with hands-on learning opportunities.

Career paths

There are many career opportunities in software development, including:

Software Engineer

• Average salary: £49,000
• Key responsibilities:
  • Build software based on user requirements and client specifications
  • Write code for applications
  • Create software documentation

Front-end Developer

• Average salary: £46,000
• Key responsibilities:
  • Design the user-facing site of websites
  • Create wireframes
  • Improve the user experience

Back-end Developer

• Average salary: £59,000
• Key responsibilities:
  • Develop the server-side features of applications
  • Use frameworks like Laravel and Ruby on Rails to speed up web development

Sales and business development

Skilled sales professionals focus on identifying promising leads and moving customers from the awareness phase to the final purchase.

High-paying sales skills include:

• Consultative or technical sales: Learning about each client’s needs and developing custom solutions. This approach requires in-depth product knowledge.
• Traditional sales: Promoting standard products and services to leads.
• Digital marketing: Using channels like social media and email to advertise brands.
• Emotional intelligence: Know how to read clients and adapt your sales techniques.

Many Sales Representatives learn these high income skills on the job, but you can also take online courses from companies like HubSpot Academy and Dale Carnegie.

Career paths

Sales skills can lead to many potentially lucrative roles, such as:

Account Executive

• Average salary: £36,000
• Key responsibilities:
  • Nurturing client relationships
  • Closing deals
  • Managing client accounts and troubleshooting issues

Business Development Representative

• Average salary: £32,000
• Key responsibilities:
  • Locating and qualifying leads
  • Researching growth opportunities
  • Collaborating with Product Developers

Leadership and project management

Even the most effective teams need someone to help them coordinate their efforts and make sure they have all the right resources. That’s where project management professionals come in.

These specialists have a unique combination of soft skills and technical abilities. Here are a few of their high-paying skills:

• Familiarity with project management tools like Asana and Trello
• Leadership skills
• Proficiency in Agile and Scrum methodologies

Career Path

Strong management skills can prepare you for this in demand role:

Project Manager

• Average salary: £45,000
• Key responsibilities:
  • Liaise between the client and the project team
  • Keep everything moving on schedule and within budget
  • Maintain high quality standards

Why learning high income skills matters in 2025

Upskilling isn’t just about adding a few new lines to your resume. It’s an investment in your professional growth and a pathway to financial independence.

Here are a few benefits of gaining high paying skills:

• Adapt to the changing job market: Automation, AI, and even remote work are shaking up roles in all industries. Gaining in demand skills can help you future-proof your career in these exciting times.
• Boost your earning potential: Obviously, growing your salary is the primary reason to focus on high income skills. The average weekly earnings for employees in Great Britain are £716, or around £37,000 annually. Many of these careers on this list have higher average salaries — in some cases, almost twice as high.

And, of course, you’ll get the personal satisfaction of continuous learning and career growth.

Boost your earning potential with Multiverse

In a competitive job market, high income skills are the key to financial and professional growth. Software engineering, project management, and other abilities can help you qualify for more advanced roles — and possibly lead to a healthy salary bump.

With a Multiverse apprenticeship, you can gain valuable skills while working at your current role. Your employer covers all the costs, so you don’t even need to spend anything to increase your earning potential and skillset — a win-win situation.
Browse our programmes for more information, or fill out our quick application.

The initiative is a key part of BCP Council’s broader transformation efforts, supporting its ambition to modernise processes, boost efficiency, and deliver better outcomes for residents. Staff from across Operations and IT and Programmes teams are participating in the training, which is designed to upskill colleagues in areas like data analysis, automation, and AI adoption.

By investing in technical capability through applied learning, the council is developing a workforce that is better equipped to deliver data-informed services and make strategic decisions with confidence. As a result of this training, staff have already unlocked over 200 hours of time previously used for manual activities.

Sarah Chamberlain, Director of IT & Programmes at BCP Council, said: “This partnership is a vital part of our digital transformation strategy. Building internal capability in data and AI allows us to make faster, better-informed decisions and deliver more responsive services for our communities. We’re already seeing early signs of impact and are excited to expand this further in the months ahead.”

Training is being delivered by Multiverse, the upskilling platform for AI and tech adoption. The programmes are fully funded through the apprenticeship levy and delivered through a model that combines real-world projects with high-impact coaching.

Programmes include:

• Data Literacy (Level 3): Equipping staff with the foundational data skills to interpret, visualise, and apply data in daily decision-making
• Data Fellowship (Level 4): Upskilling colleagues into advanced analysts capable of building dashboards, automating workflows, and drawing insight from complex datasets
• AI Productivity & Leadership: A suite of AI-focused programmes helping staff deliver value using tools like Microsoft Copilot, and enabling leaders to scope and deliver AI-driven transformation

This partnership has already led to measurable improvements in service design, reporting, and digital innovation, with learners contributing to projects that increase efficiency and unlock time and cost savings across departments.

Gary Eimerman, Chief Learning Officer at Multiverse, said: “BCP Council is showing what’s possible when public sector organisations invest in future-ready skills. By training over 50 staff in data and AI, they’re not just improving how decisions are made — they’re building a modern, agile workforce that can continuously adapt and innovate to meet residents’ needs.”

Multiverse has trained more than 20,000 apprentices since 2016 and has worked with over 50 UK councils to close skills gaps in data, AI and digital transformation.