UK real GDP grew by 0.7% in the third quarter of 2026, after 0.5% in the second, the Office for National Statistics said in its first quarterly estimate on 12 November. Computer programming, consultancy and related activities contributed 0.15 percentage points of that growth, the ONS said. Within information and communication, it said, many of the businesses reporting the largest increases in turnover are involved in activities related to artificial intelligence and cloud computing.
By our arithmetic, that one industry supplied about a fifth of the quarter’s growth. Business investment, by contrast, rose by 0.4%, against the Bank of England’s projection in November of around a further 1%, about 0.6 points less.
Business Pill · Concentration Explained
A short explainer on concentration: when a few big pieces make most of the total. It teaches the general idea only and does not discuss the ONS release.
The key insight: As we read it, the quarter shows where the UK’s AI-linked growth sits in the national accounts so far: in the output of IT services firms, whose AI share the ONS says is difficult to quantify, rather than in a jump in business investment.
GDP was 1.9% higher than a year earlier, and services output rose by 0.9% in the quarter, the ONS said. Production grew by 0.1% and construction fell by 0.7%.
Information and communication grew by 2.1%, driven mainly by a 4.4% rise in computer programming, consultancy and related activities. The ONS wrote that this industry “has been the largest driver of GDP growth across 2026”, adding that “it is difficult for us to quantify the exact impact of these types of activities on turnover”.
In manufacturing, which grew by 0.9%, the largest positive contribution came from computer, electronic and optical products, up by 4.6%. Its 0.31 points were about a third of the manufacturing gain, by our arithmetic on the ONS chart data.
Contributions to growth in July to September 2026, in percentage points. UK GDP grew 0.7%: computer programming, consultancy and related activities contributed 0.15 points (ONS monthly GDP bulletin); manufacturing grew 0.9%, with 0.31 points from computer, electronic and optical products (ONS chart data). The rest of the economy and the other manufacturing subsectors are our arithmetic on rounded ONS figures.
Where the Growth Came From
On the spending side, household consumption contributed 0.35 percentage points and gross fixed capital formation 0.34, according to the ONS chart data; by our arithmetic, investment of all kinds supplied about half of the quarter’s growth. The ONS named other machinery and equipment, and transport equipment, as the main drivers of that investment.
Business investment, the narrower measure, rose by 0.4% in the quarter and was 3.0% higher than a year earlier. The Bank’s November Monetary Policy Report had said strength in business investment was “expected to have carried over into Q3 when business investment is projected to have risen by around a further 1%”.
The UK’s 0.7% was second among the six G7 economies with a third-quarter figure in the ONS comparison table, behind the United States at 0.8%; Japan had no figure yet. Canada grew 0.3%, Germany 0.2%, Italy 0.0% and France contracted 0.1%.
Real GDP growth, quarter on quarter, July to September 2026, for the six G7 economies with a figure in Table 5 of the ONS first quarterly estimate (OECD data retrieved on 11 November 2026); Japan had no figure yet.
Three Estimates of AI’s Share
On 11 November we reported that AI added about 0.45 points to UK growth in 2026, around a quarter of a total expansion of about 1.8%, according to Bloomberg Economics; its method is behind a paywall. The Bank’s Box C uses a proxy that combines computer programming and consulting, information services and publishing, and, after adjusting for the longer-run trend, says “novel AI-related activity accounts for just under a fifth of GDP growth since the start of 2026”.
The ONS figure is narrower still: one industry’s contribution to one quarter, with no AI adjustment. As we read the three, they measure different things over different periods: Bloomberg Economics and the Bank estimate AI-linked activity, while our fifth is arithmetic on one industry’s contribution, which the ONS does not label as AI. The ONS says it plans to publish estimates of the impact of AI on the UK economy in the first quarter of 2028.
The month of September was weaker for the industry: computer programming, consultancy and related activities fell by 1.9%, the largest negative contribution to GDP that month at minus 0.07 points, the ONS said, after six consecutive monthly rises. GDP grew 0.2% in September. The physical side of the build is in our report on the UK’s 6GW data-centre goal.
The Structural Read
As we read the numbers, one industry’s 0.15 points, about a fifth of the quarter’s growth by our arithmetic, sits close to the Bank’s “just under a fifth” for novel AI-related activity, though the two measure different things over different periods.
As we read the September figures, the industry’s 1.9% monthly fall after six monthly rises is the first monthly break in that run; the ONS plans its own AI estimates for the first quarter of 2028.
Office for National Statistics, GDP first quarterly estimate, 12 November 2026
“This industry has been the largest driver of GDP growth across 2026, with evidence that many of the businesses reporting the largest increases in turnover are involved in activities related to artificial intelligence and cloud computing.”
Three Implications
FOR UK GROWTH Computer programming, consultancy and related activities contributed 0.15 percentage points to growth in the three months to September, the ONS said.
FOR THE BANK OF ENGLAND Business investment rose 0.4% in the quarter, against the Bank’s November projection of around a further 1%.
FOR THE AI SHARE DEBATE Bloomberg Economics put AI-linked activity at around a quarter of 2026 growth, and the Bank put novel AI-related activity at just under a fifth since the start of the year.
The framework says that “substrate-level shifts of that magnitude are what produce multi-decade economic transformations.”
As we read it, a single industry supplying about a fifth of a quarter’s growth, by our arithmetic, is an early national-accounts trace of that shift. The framework predates this release and does not discuss it.
What Is Not Established
How much of the industry’s growth is AI is not established: the ONS says it is difficult to quantify, and its link is drawn from businesses reporting the largest turnover increases. First estimates are revised; the ONS gives a mean absolute revision of 0.27 percentage points between first and final estimates since 2000.
We did not read Bloomberg Economics’ method, and the ONS release does not split business investment into AI and non-AI spending in the sections we read. We did not contact the ONS, the Bank of England or Bloomberg for this piece.
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UK GDP grew 0.7% in the third quarter, the ONS said, and computer programming, consultancy and related activities supplied 0.15 points, about a fifth of it by our arithmetic. Business investment rose 0.4%, below the Bank of England’s projection of around a further 1%, and the ONS named machinery and transport equipment as the main drivers of fixed investment.
A note on sourcing. We read sections 1 to 4 (main points, headline figures, output and expenditure) and section 8 (international comparisons) of the ONS first quarterly estimate of GDP for July to September 2026, published on 12 November, in full, together with its chart data, and the relevant sections of the ONS monthly GDP bulletin for September. We read Box C and the business-investment section of the Bank of England’s November 2026 Monetary Policy Report, and the opening paragraphs of Bloomberg News’ report of 11 November on Bloomberg Economics’ estimate; the rest is paywalled. The shares and differences are our arithmetic. We did not contact the ONS, the Bank of England or Bloomberg.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
