IAB UK this week published research showing that 95% of businesses operating in digital advertising are actively using artificial intelligence - a figure that stands in striking contrast to the 16% adoption rate recorded across UK businesses overall. The report, titled "Powering Growth: The UK's Hidden AI Engine," argues that the digital advertising sector has become one of the most advanced environments for applied AI in the UK economy, yet remains largely absent from national policy conversations on the subject.

The scale of adoption

The figures come from surveys conducted by Public First between 17 and 27 February 2026. The digital advertising results draw on responses from more than 250 UK decision-makers and practitioners in digital advertising. A separate survey of more than 1,000 UK businesses provides the cross-economy comparison baseline. The gap between the two numbers - 95% versus 16% - is the central finding around which the report is constructed.

According to IAB UK, 72% of businesses in digital advertising have been using AI for over a year. This is not, the report emphasises, a wave of recent adoption triggered by the wider public interest in generative AI tools. It predates that surge. The sector, as IAB UK frames it, passed through the experimental phase some time ago and has moved into sustained operational deployment.

The 95% adoption figure contrasts sharply with the broader UK picture. UK digital advertising spending was forecast to reach £45 billion by 2026, based on IAB UK's HY 2025 Digital Adspend Report released in September 2025, confirming the sector's scale before today's AI-specific research adds another dimension. The new report puts the current market size at £40bn - consistent with that trajectory - and identifies AI as a structural component of how that market now operates.

What AI is actually doing in digital advertising

The report does not confine itself to headline adoption statistics. It describes where AI sits in the campaign workflow and what it replaces or accelerates. According to IAB UK, AI is embedded across how campaigns are designed, delivered, and optimised - often operating in real time without human intervention at each step.

The pathway described runs from data through AI to decision to business outcome. Tasks that previously required manual analytical work are now automated. The report includes direct testimony from Sam Coates, Global Director of Insight & Analytics at Captify, a London-based advertising technology company working with over 800 global brands. Captify uses machine learning and first-party data to deliver targeted advertising solutions across channels, and was engaged as a case study for the research.

According to Coates: "Where we previously relied on manual workflows, we can now talk in natural language to our database via an AI model that turns requests into code, runs analysis and generates outputs. That creates huge automation opportunities and allows us to deliver faster, higher quality insights to clients."

The shift Coates describes - from manual database queries to natural language interfaces - illustrates how AI is changing not just the speed of analytical work but the skill profile required to conduct it. A practitioner no longer needs to write structured queries to extract campaign performance data; they describe what they want and the system generates both the code and the output.

This pattern maps to findings documented in other industry research. IAB Europe and Microsoft research from 2024found that 91% of digital advertising professionals had either fully embraced or experimented with generative AI. The UK-specific data now suggests adoption has moved further still, with 95% in active use and the majority having done so for more than twelve months.

The economic argument

The report puts numbers on the economic stakes. The UK digital advertising sector accounts for £40bn of market activity, which IAB UK describes as reflecting the sector's scale, maturity and global competitiveness. On top of that existing base, AI-powered advertising holds, according to the report, the potential to unlock an additional £12bn in value for UK businesses by improving the effectiveness of ad spend.

The mechanism is audience targeting precision and waste reduction. According to IAB UK, AI enables businesses to reach the right audiences more reliably, reduce wasted impressions, and increase returns on advertising investment. These are not new ambitions for advertisers. What AI changes is the precision and scale at which they can be pursued. Where a buyer once relied on broad demographic proxies, machine learning models can now assess dozens of signals in real time to determine bid values and creative variants.

The £12bn potential value figure sits alongside the sector's existing £40bn contribution, making the combined addressable opportunity substantial. Whether that potential is realised depends, according to the report, on whether the policy environment supports or constrains the sector's development. This is the point at which the economic analysis becomes explicitly political.

Governance running parallel to adoption

One finding that complicates the narrative of unchecked AI expansion is the governance data. According to IAB UK, 57% of businesses in digital advertising have internal governance or ethics structures covering how AI is used. Among larger firms, the proportion rises to 76%.

The report characterises this as a proactive stance - businesses building oversight frameworks rather than waiting for external regulation to define the boundaries. The governance structures, as described, cover data handling and deployment decisions. What the report does not detail is the content of those frameworks: whether they impose substantive constraints on AI use or represent lighter-touch policies that primarily document what the business already does.

That distinction matters because AI governance in advertising is still largely self-defined. There is no mandatory disclosure regime, no standardised audit requirement, and no independent body verifying compliance with internal policies. The 57% figure measures the presence of frameworks, not their rigour. Still, the existence of industry-led governance at this scale is notable. IAB Tech Lab's work on agentic AI standards reflects a parallel effort at the technical infrastructure level, where the organisation has been developing protocols to enable AI agent deployment without fragmenting the programmatic ecosystem.

Digital advertising as AI infrastructure for the wider economy

The report makes a structural claim that goes beyond the sector's own performance. According to IAB UK, digital advertising does not just use AI - it distributes AI capabilities to businesses that would not otherwise have access to them. The framing is of digital advertising as a delivery mechanism: because advertising platforms have embedded AI into their tools, businesses of all sizes that use those platforms gain access to AI-driven optimisation without needing to build it themselves.

A small retailer running campaigns through a major ad platform is, in this analysis, an AI adopter whether or not they think of themselves that way. The targeting, bidding, and creative optimisation decisions are being made by AI systems operating within the platform. The advertiser sets objectives and budgets; the machine handles execution. This diffusion effect - AI capabilities spreading through the economy via advertising platforms - is cited as a reason to treat the sector as strategically significant beyond its direct economic contribution.

IAB Europe's July 2025 whitepaper on AI in European digital advertising made a comparable argument about the continent's digital advertising sector, documenting how early AI adoption generates productivity spillovers across the firms that use advertising platforms. The UK report draws on similar logic but applies it specifically to the policy question of how the government should classify and support the sector.

The policy context

The UK government has positioned AI leadership as a national priority. IAB UK's report engages directly with that framing, arguing that policymakers are overlooking an existing, mature AI sector when they frame the opportunity primarily in terms of future model development, new research infrastructure, and emerging use cases.

The report's policy asks are threefold: regulatory clarity, investment support, and alignment of policy with real-world deployment. On regulation, the concern is that poorly targeted rules could reduce market size and weaken competitiveness. The report does not identify specific regulatory proposals it regards as problematic, but the direction of the argument is clear - the sector wants a permissive environment, not new constraints.

This is a familiar position for trade bodies representing advertising-adjacent industries. IAB forecasts for 2026 projected 9.5% US ad spend growth as the industry transitions from AI experimentation to scaled implementation, a trajectory that depends on regulatory environments remaining broadly supportive of AI-driven advertising practices. UK-specific concerns are shaped partly by ongoing discussions around data protection, online safety legislation, and the potential for sector-specific AI rules.

The report's framing of the digital advertising sector as the UK's "hidden AI engine" is a deliberate rhetorical choice - one that positions the sector not as a beneficiary of AI development but as one of its primary drivers. Whether that framing gains traction in policy discussions will depend partly on how government defines the AI economy and whether advertising-sector AI use cases are treated as equivalent to the foundation model development and research infrastructure that typically dominate those conversations.

Methodology and research scope

The Public First surveys were conducted between 17 and 27 February 2026. The digital advertising results come from responses by 250 or more UK decision-makers and practitioners in the sector. The wider business comparison draws on a separate survey of more than 1,000 UK businesses. The research included qualitative engagement with Captify, used to illustrate the operational impact of AI adoption on a specific firm's workflows.

The survey period predates the report's publication on 14 May 2026 by approximately two and a half months. The adoption figures therefore reflect the state of the market in late February rather than in May. Given the pace at which AI tooling is being integrated across advertising platforms, the actual current adoption rate could be higher still. The 72% figure for businesses using AI for over a year was measured at that February baseline.

Why this matters for marketing professionals

For practitioners in paid search, programmatic, and broader digital marketing, the report confirms something many already experience in practice: AI is no longer a feature of advertising technology that can be switched off or ignored. It is embedded in the bidding systems, audience targeting layers, and creative optimisation tools that define how most digital campaigns now operate.

The policy dimension has direct practical implications. Regulatory decisions about how AI can use consumer data, how automated decisions must be disclosed, and how accountability for AI-driven outcomes is assigned will shape the capabilities available to advertisers. A more restrictive framework limits what the platforms can build; a permissive one accelerates it. The 46% of businesses that, according to IAB UK, are currently prioritising AI investment are betting on the permissive direction.

The UK ad market grew 6.4% to £46.7bn in 2025, according to the Advertising Association and WARC, but two in every three pounds went to Google, Meta, and Amazon - a concentration dynamic that shapes how AI capabilities are distributed across the sector. Those three platforms are also the primary conduits through which AI-driven advertising tools reach smaller businesses. The IAB UK report's claim that digital advertising diffuses AI across the economy is therefore largely a claim about what those platforms' AI systems do on behalf of their advertising customers.

Timeline

Related earlier coverage on PPC Land:

Summary

Who: IAB UK, the trade body for digital advertising in the UK, published the research, based on surveys conducted by Public First. Captify, a London-based ad technology company, contributed qualitative testimony via Sam Coates, Global Director of Insight & Analytics.

What: A research report titled "Powering Growth: The UK's Hidden AI Engine" documenting 95% AI adoption among UK digital advertising businesses, versus 16% across UK businesses overall. The report values the digital advertising market at £40bn and estimates AI-powered advertising could unlock an additional £12bn in value. It finds that 72% of advertising businesses have used AI for over a year, 57% have internal AI governance structures, and 46% are prioritising AI investment.

When: The report was published on 14 May 2026. The underlying surveys were conducted by Public First between 17 and 27 February 2026.

Where: The research covers UK digital advertising businesses and UK businesses generally, based on surveys conducted across the country. IAB UK is headquartered at The Kodak, 11 Keeley Street, London.

Why: IAB UK argues the digital advertising sector is one of the most advanced AI deployment environments in the UK economy but is largely absent from government AI strategy. The report is framed as a case for the sector to be recognised within national AI policy, with requests for regulatory clarity, investment support, and policy alignment with existing real-world deployment.

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