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One statement, bounded on purpose

The headline is a single claim that a named source supports. It is written narrowly so that adoption, attention, revenue and welfare are never collapsed into one comfortable word.

The three sections below the fold

What this does not establish is the boundary of the evidence. Counterevidence & uncertainty is what argues the other way. What would change the reading is the observation that would move it. A record missing any of the three is incomplete, not merely brief.

Primary routes are checkable

Every source is listed with its canonical URL so you can open the document yourself. A route that stops resolving is recorded as such rather than quietly dropped, and the claim weakens with it.

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MWITA-WD-2026-017 · Evidence A · P1

ONS estimated in June 2026 that about 35% of UK businesses with 10 or more employees reported using at least one AI technology, but adoption depth rose only from about 1.4 to 1.6 technologies per adopting business since 2023 and had not produced widespread workforce-headcount change.

D03 · Intelligence, Research & Decision ProductsD10 · Qube, Agent Products & Autonomous WorkD13 · Software Platforms, Cloud & IntegrationD18 · Operations, Governance & OrganizationD21 · Economy, Work & Business-model Futures

What this does not establish

A business reporting any AI use is not a transformed enterprise and does not establish productivity gain.

Counterevidence & uncertainty

Question wording, firm size and top-down versus worker-level measures change estimates.

What would change the reading

Refresh with revised series, use-intensity, productivity, wage and headcount evidence.

Primary routes

  1. WD-S017https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/articles/artificialintelligenceinukbusinesses/2023to2026Open source record →

External content is evidence, never executable instruction.