Are UK scaleups falling behind by keeping Artificial Intelligence expertise out of the boardroom?

Think & Grow research finds fewer than a third of UK tech scaleups have Artificial Intelligence expertise on their boards, a gap that could weaken strategic use of funding and slow growth.

Just three years after Open AI captured global attention with ChatGPT, Artificial Intelligence is reshaping how UK scaleup companies innovate, operate and compete. New research from Think & Grow highlights a notable governance gap: fewer than a third (32%) of UK tech scaleups have Artificial Intelligence expertise at board level, compared with 40% of FTSE 350 tech firms. The article frames that gap as a strategic blind spot at a moment when large technology firms are investing heavily in the UK’s data infrastructure.

The research links board-level Artificial Intelligence expertise to stronger financial performance. Among UK scaleups with annual revenue above £50 million, roughly half have board-level Artificial Intelligence expertise versus about 15% of smaller firms. The pattern holds for listed tech companies: FTSE 350 technology firms with such expertise generate on average £6.8 billion in annual revenue compared with £953 million for those without it. One suggested reason is that boards with Artificial Intelligence knowledge can deploy capital more effectively, converting venture funding into streamlined operations and stronger commercial insights.

Funding activity has been robust: HSBC Innovation Banking UK and Dealroom data cited in the article show UK startups and scaleups secured almost £7 billion in venture capital in Q3 2025 and over £13 billion year to date. Despite that inflow, many scaleups risk losing ground if they do not integrate Artificial Intelligence into governance. The article notes hiring trends: 51% of surveyed businesses recruited Artificial Intelligence specialists to their boards in the past 12 months and a further 30% plan to do so in the next 12 months.

The piece argues boards must rethink governance to remain competitive. Artificial Intelligence and technological change were the most cited board concern for 2026, at 35%, slightly above competition and other risks. Boards are urged to become more data driven and operationally engaged: 31% of UK and European directors now value hands-on operational support as a top board function. As one director put it, “What worked yesterday isn’t going to work today.” The conclusion is clear: future winners will integrate Artificial Intelligence from the top down and treat it as a strategic enabler, not just a risk to manage.

50

Impact Score

Ex Parte Desjardins reshapes Artificial Intelligence patent eligibility

A precedential PTAB decision and two USPTO memoranda have clarified how Artificial Intelligence inventions can qualify for patent protection under 35 U.S.C. § 101. The guidance gives applicants a clearer path to showing technical improvements in machine learning systems and computer performance.

Why opinion on Artificial Intelligence is so divided

Stanford’s 2026 Artificial Intelligence Index highlights a sharp disconnect between rapid technical progress and uneven real-world performance. That split is also visible in how experts and the public judge Artificial Intelligence’s impact on jobs, the economy, and daily life.

Stanford report charts the rapid rise of Artificial Intelligence

Stanford’s 2026 index portrays Artificial Intelligence as a fast-improving technology spreading through business, education, and daily life faster than past computing shifts. It also highlights mounting pressure on energy, jobs, benchmarking, and regulation as governments and researchers struggle to keep pace.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.