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Grant Thornton survey finds a record 80% of CFOs expect profit growth with only 46% upbeat on the economy
Grant Thornton's Q3 survey found 80% of CFOs expect net profit growth within 12 months, an 18-quarter high, though only 46% are optimistic about the economy. With a third crediting AI for extra revenue, the AI case for those profits rests mainly on cost savings.
The Investor · Invest desk
What happened
- Grant Thornton's Q3 2026 survey of nearly 230 US finance leaders found 80% expect net profit growth over the next 12 months, the highest in the 18 quarters the question has run.
- More than a third, 35%, forecast net profit growth above 10%, beating the previous high of 30% set in the fourth quarter of 2024.
- Eighty-four percent said the return on their AI investment is meeting or exceeding their expectations.
- Just 24% see potential for layoffs at their organization in the next six months, the lowest reading since the question began in Q2 2022.
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Why it matters
- exposure If AI savings fall short of the profit forecasts, headcount becomes the obvious cost to cut, and staff start from the lowest layoff-risk reading the survey has recorded.
- cost Each AI project a CFO funds displaces other spending, because budget constraints and competing priorities are each a top obstacle for 43% of respondents.
- decision CFOs who tie profit forecasts to AI now answer to boards on both, with 41% reporting high board pressure to transform, so a miss becomes a governance question as well as an earnings one.
Subtract 46 from 80 and at least 34% of the panel, roughly 78 of the nearly 230 finance leaders, expect higher profits without feeling optimistic about the economy [1][2]. The true overlap could be larger. 34% is the minimum the two numbers allow [1]. Grant Thornton's explanation is AI. "Business leaders are very confident that they're going to hit their net profit forecasts, and part of that is backed up by the fact that they're seeing the productivity gains that they expected from AI," said Paul Melville, chief growth officer for Grant Thornton Advisors [5][15].
The returns behind that confidence are mostly on the cost side. The survey says much of the AI value has come from productivity gains, and 33% of respondents list enhanced revenue as a benefit [6][7]. Productivity becomes profit in three ways: fewer staff, fewer new hires, or the same staff producing more for customers willing to buy it. Companies are planning little of the first [8]. That leaves slower hiring or higher volume, and higher volume is the route a 46% optimism reading makes hardest to count on [3]. Grant Thornton's published results, as reported, do not include hiring plans, margins, or the previous peak on the 80% question [1].
Three readings fit the 80%. The first, and Grant Thornton's, is that AI productivity is real and reaches the profit line even in a flat economy [5]. A second is that the forecasts are nominal, carried by pricing and ordinary sales, with AI the reason CFOs give when asked. The third is sampling. The double-digit profit reading beat its previous high by 5 points [4][3]. On a panel of about 230 that is 11 or 12 people [5], and a random sample that size carries a 95% margin of error of roughly 6 points either way on a 35% reading [4].
The value being counted is also being defined broadly. "CFOs are using a broader lens of what value is, so they're seeing those returns," said Sumeet Mahajan, a partner in Grant Thornton Advisors' AI, Data & Tech practice [13][15]. A wider definition makes an 84% satisfaction rate on AI returns easier to reach [6]. Where the projects go fits the cost reading. Finance and accounting is the top function for AI transformation at 39%, followed by customer service at 36% and cybersecurity at 30%, while 6% put supply chain in their top three [9]. All three leaders sit on the cost side of the income statement. "The best organizations might put 15 objectives on a roadmap, but they need to identify three to five core enterprise priorities that they absolutely must get right," said Jennifer Morelli, a partner in the firm's Transformation practice [12][15].
I think the 80% is a bet on costs, and the survey supports it as an expectation, with the results still to come. The nominal reading fits the same numbers about as well. The case that AI widens margins in a weak economy fails if the next surveys show profit expectations falling in step with economic optimism, because then the 80% was tracking the economy all along [1][3].
What to watch
- Whether the share of CFOs seeing layoff potential climbs from 24% in the next survey, a sign that AI savings are being taken through headcount.
- A rise in the 33% who report AI-driven revenue would put part of the profit forecast on sales instead of costs.
- Whether the share forecasting double-digit profit growth stays above 30% for a second quarter, confirming the 35% reading was more than sampling noise.