Latest Behavioural Research on AI Adoption in the UK
New research reveals AI is now embedded in everyday life and work
New survey research from Vision One highlights a decisive shift in how artificial intelligence tools and chatbots are being adopted and applied, with usage now firmly embedded across both personal and professional environments.
Based on a nationally representative study of 1,500 people, the findings highlight rapid and widespread adoption of AI tools and chatbots, with 58% of adults now actively using them. While AI has become a familiar part of daily life at home or at work for many, adoption is not yet universal – 42% of the population still remains on the sidelines, especially the older age groups and those outside the office environment.
ChatGPT has emerged as the leading AI tool to date, with 44% of adults using it, representing nearly three-quarters (76%) of all AI users. Google’s Gemini ranks second, with 38% usage (65% of AI users), followed by Microsoft’s Copilot at 26% (45% of AI users).
But beneath this adoption lies a more interesting story. While almost everyone is using AI, how they use it varies significantly.
AI adoption in the UK – The headlines
The study reveals that nearly half of AI users (44%) are using AI for everyday “how-to” tasks such as cooking, DIY, and general problem-solving. Communication is another major use case among AI users, with 37% turning to AI for writing and editing support, while over 30% are using it for shopping and entertainment.
In the workplace, AI adoption is changing how businesses operate. The survey showed that 25% of respondents use AI for work. Task automation leads the way, with 43% of people using AI for work purposes to streamline processes such as transcription, translation, and documentation. Content creation (41%), alongside research, learning, and data analysis (all around 40%), are also key areas where AI is delivering value.
These findings suggest a significant shift in behaviour: AI is no longer seen as a future tool, but a present-day necessity. As adoption continues to accelerate, the focus is moving from awareness to effectiveness—how individuals and organisations can best harness AI to improve productivity, decision-making, and competitive advantage.
From everyday assistance to essential behaviour
There was a time when AI felt like something on the horizon. Something businesses were preparing for, experimenting with, or cautiously observing.
That moment has passed.
Today, AI is as practical as it is powerful. It is helping people decide what to cook, fix problems around the house, write emails, plan purchases, and manage everyday life.
How people are using AI in everyday life:
- 48% of of adults use AI for personal use
- 44% of AI personal users (21% of all respondents) use it for “how-to” tasks such as recipes, DIY, and problem solving
- 37% for writing and communication support
- 30%+ for shopping and entertainment
What is striking is not just the scale of adoption, but its normality. AI is no longer a specialist tool. It is becoming part of routine behaviour.
The workplace tells an even stronger story.
Here, AI is not just assisting. It is actively reshaping how work gets done.
AI adoption in the workplace:
- 43% of AI users at work (11% of all respondents) have adopted it for task automation, such as documentation, transcription, and translation
- 41% for content creation
- ~40% for research, learning, and data analysis
For many professionals, AI is becoming a quiet productivity multiplier. It reduces friction, speeds up processes, and enables better decisions with less effort.
The Business Perspective:
For insight into how businesses are adopting AI, see the AI adoption research on Gov.uk, which presents a notably different perspective. The study finds that the vast majority of businesses (80%) neither use AI nor have plans to adopt it. Around one in six (16%) currently use at least one AI technology, while a further 5% intend to adopt it in the future. Notably, over half of businesses (51%) do not consider AI relevant to their organisation.
This stands in clear contrast to Vision One’s own research among employees, which indicates that many are already using AI to support their day-to-day work—often turning to established AI tools and chatbots to enhance productivity.
This gap between organisational adoption and employee behaviour suggests that businesses may be underestimating both the pace of change and the opportunity AI presents—highlighting a need to reassess their approach to AI in the near future.
The real divide is not adoption, it is depth of use
Yet the real insight is not simply that AI is everywhere. It is that people are using it in very different ways.
Younger audiences are leaning into creativity. They are using AI to generate content, explore ideas, and enhance productivity in more expressive ways. Older audiences, by contrast, are more focused on problem-solving. They turn to AI for clarity, guidance, and practical support in day-to-day tasks.
Key behavioural differences by audience:
- Younger audiences (18–34) are more likely to use AI for content creation, creativity, and personal productivity
- Older audiences (45+) skew towards practical problem-solving and everyday support
- Full-time professionals are embedding AI into workflows for automation, analysis, and content
- Non-working groups use AI more for planning, advice, and life admin
This creates a new kind of divide.
Not between those who use AI and those who do not, but between those who use it deeply and those who use it lightly.
The emerging usage gap:
- Heavy users apply AI across both work and personal life
- They are more likely to explore advanced features and multiple use cases
- Light users tend to stick to one or two simple applications, such as writing or quick queries
Adoption, in other words, is universal. But usage is fragmented.
This shift matters.
As AI becomes embedded, the competitive advantage will not come from simply having access to it. That is already a given. It will come from how effectively individuals and organisations use it.
Those who treat AI as a tool for efficiency may see incremental gains. Those who treat it as a tool for thinking, creating, and decision-making may unlock something far more transformative.
The question is no longer whether AI will shape the future – It already is.
The real question is who is using it well.
About this Research:
This study was conducted by Vision One Research in March 2026 and was independent of any clients or sponsors. The survey was conducted via an online omnibus among a representative sample of 1,500 UK adults aged 18-70 years with internet access.
What’s next?
Part two of the findings from the same AI adoption research will be released soon. Further insights will cover specific platforms and usage. Other research can be found at Gov.uk and Global AI adoption research by Microsoft.
Results Tables
| Do you currently use AI tools? | Sample size: 1500 |
| Yes, for personal use | 49% |
| Yes, for work | 24% |
| Yes Total (personal + work) | 58% |
| No, I don’t use AI for personal use or work | 42% |
| How have you used AI in the past 6 months for personal use? | |
| Healthcare (diagnosis, advice) | 25% |
| Finance and Financial planning (check investments, interest) | 20% |
| Holidays (Destinations and advice) | 23% |
| Shopping – Discovering, selecting and buying products/services | 30% |
| How to do something (recipes, cooking, diy, etc) | 44% |
| To calculate something | 30% |
| To control devices (smart devices) | 18% |
| Schedule things (calendar, calls, shopping) | 23% |
| Scientific or education (questions and answers, education, discovery) | 28% |
| Fun and games | 31% |
| Navigation (GPS, route planning, timetables) | 22% |
| Communication (writing and editing) | 37% |
| Other (Please specify) | 3% |
| Not using AI | 2% |
| Base Size (Those using AI personally): | 728 |
| How are you personally using AI at work? | |
| Communications and content creation (email, messaging, copywriting) | 41% |
| Data analysis and coding (calculations, forecasting, trends,) | 40% |
| Research (understand topics, market, facts and figures etc) | 38% |
| Learning and development (training, education) | 39% |
| Task automation (transcription, translation, data input, admin) | 43% |
| Customer service (call answering, automated replies to messaging) | 27% |
| HR Recruitment (hiring, comms) | 19% |
| Other (Please specify) | 1% |
| Not using AI | 2% |
| Base Size (Those using AI in the workplace): Source: Vision One Research | 369 |
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