UK firms move beyond AI pilots, Vention survey finds

Vention has published research showing that 47% of UK companies have already implemented AI features. The survey covered more than 450 companies in the United States, the DACH region and the United Kingdom.

The findings suggest many British businesses have moved beyond early trials, even as they remain more cautious than peers in some other markets. Just 5% of UK companies surveyed said they were still running AI pilot projects, while 53% use AI in specific areas and 41% said it is central to their product or overall business.

All companies surveyed said they plan to engage a software development partner within the next 12 months. This points to active spending on technology projects and outside support as businesses work out how to build, govern and deploy AI tools.

In the UK, 54% of respondents said they had invested in team upskilling and AI training. That was the highest rate among the regions surveyed, compared with 32% in the US and 34% in DACH.

Another 52% of UK organisations said they had sought or entered technology partnerships to explore AI. The figures suggest companies are combining product development with workforce training and external advice rather than relying only on off-the-shelf tools.

Confidence in AI's importance appears strong. None of the UK respondents said AI had no value to their business, while 69% said it would be extremely important over the next one to two years and 30% said it was already extremely helpful in specific areas of operations.

Yet the research also points to uncertainty over business returns. More than a third, or 36%, of UK organisations said they were still unsure about the tangible business impact of AI.

Matt Stocker, Business Development Director at Vention, said that gap reflects a wider distinction between rollout and measurable value.

"Such continued uncertainty around AI's value is not surprising. It's important to distinguish between AI deployment and AI maturity. Simply introducing AI tools into workflows doesn't automatically translate into measurable business value. Without clearly defined ROI frameworks, strong governance standards, and alignment across teams, the impact can be uneven," Stocker said.

Engineering use

Use of AI inside software development teams was one of the clearest patterns in the UK data. Vention found that 79% of UK companies use AI technologies within their software development processes.

The most common use cases were idea generation, cited by 53% of respondents, software architecture design at 50%, and coding assistance at 49%. The survey also found that 36% of UK businesses use AI for algorithm improvement, above 24% in the US and 20% in DACH.

This suggests some UK companies are applying AI beyond support tasks and into the design of core product logic. The pattern fits the broader finding that many firms no longer view AI as a limited experiment.

Jobs outlook

The survey indicates a more restrained British view on AI's effect on hiring. While 49% of companies globally somewhat agreed that AI may reduce hiring needs in 2026, UK organisations were less likely to expect direct cuts.

Among UK respondents, 24% said none of their tech roles would be cut because of AI adoption. That compared with 20% in DACH and 13% in the US.

The figures suggest AI is still seen as a tool to support staff rather than replace them, at least for now. That stance may also help explain why training has become such a prominent area of investment among UK companies.

Partner choices

External support remains a central part of many AI plans. UK organisations most often said they wanted help with training internal teams on AI and managing AI-related risk, with both areas cited by 32% of respondents.

When choosing an outside partner, 17% of UK respondents said efficient delivery was a leading factor, while 16% pointed to technical expertise and guidance. Asked what created trust, 48% cited certified AI experts, 47% mentioned official platform partnerships and 43% pointed to client testimonials.

The emphasis on proof, governance and training reflects a market interested in AI adoption but wary of weak oversight. It also aligns with one of the main barriers identified by respondents.

Ethical and legal considerations were cited by 36% of UK companies as the biggest obstacle to faster AI adoption. Security, meanwhile, emerged as the leading forward-looking use case expected from AI adoption in 2026.

Stocker said the results reflected a more regulation-conscious approach in Britain.

"This aligns with the UK's regulatory-aware mindset, particularly in sectors such as fintech and healthtech. Companies in the United States, for example, tend to be more aggressive in adopting artificial intelligence across businesses and product development processes. However, in the UK, we see a steady effort to balance innovation with regulation. Ethical and legal concerns highlighted in the survey reflect a strong emphasis on responsibility. UK organisations want AI that is safe, compliant, and sustainable," he said.