Topic
How organizations measure whether AI investment changes business performance rather than producing isolated use-case wins.
Concentric AI's Madhu Shashanka says the gap between 80% reporting personal AI gains and 37% reporting any EBIT impact is a coordination failure. His argument puts mapping how deployed agents hand work to each other ahead of buying more of them.
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Founder Anshu Bansal blames missing control planes for AI's unproven returns, citing PwC's finding that just 12% of CEOs report both cost and revenue gains. The survey counts the gap without explaining it, so a board choosing new tooling over a finance fix is acting on his argument.
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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.
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Gartner found 72% of CIOs at break-even or worse on AI and expects more than 40% of agentic projects to be canceled by 2027 on cost. A platform founder argues both figures show that every new agent rebuilds the same plumbing.
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A Forbes Tech Council column by Farsight AI's Samir Dutta argues that raw model intelligence is becoming a commodity, and asks enterprise buyers to judge AI on the share of its output that reaches the final deliverable.
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A Microsoft case study credits Docusign's swap to small task-specific models with 90% lower cost and eight times the throughput. Docusign's own accounting of the whole pipeline claims 50 times cheaper per document.
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Alexey Spas says executives have lost count of the agents already running inside their companies, and cites a 2025 MIT estimate that only 5% of AI solutions produce sustained P&L gains. His fix is a platform layer.
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Sparta Global's chief executive David Rai wants engineers embedded in client workflows because that, he says, is where AI returns are lost, though the only figure he offers for UK spending arrives without a named survey behind it.
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Gerard Smyth credits meeting automation with 10 to 20 hours a week per advisor and AI summaries with five to 10 more, but the $1bn budget behind it comes with no advisor count and no revenue line to check it against.
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A software CEO's case that AI multiplies misalignment is thin on measurement and sound on mechanism. Token leaderboards and unreviewed agent objectives both pay for activity. The pilot figure he cites is the bill.
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Leaderboards at Disney, Meta, JP Morgan and KPMG rank how much staff use AI, and Accenture's chief says promotion depends on working that way, which leaves reviewers holding a usage count rather than evidence the work got better.
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Google Cloud will train up to 1,000 Accenture engineers to work inside client offices on Gemini Enterprise, which tells a rollout owner what the platform costs in calendar time before it costs anything in licences.
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Google's DORA report puts daily AI use among developers at 90% and says the tools amplify whatever workflow they find, which makes problem selection rather than build capacity the input a leader manages this quarter.
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Jan Gilg told Business Insider the SaaS sell-off was an overreaction and that SAP is changing how it charges. The budget squeeze he describes is better documented than the repricing he promises.
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Atlassian's research leaves 96% of companies short of dramatic gains at the same time enterprise AI budgets double, which turns the 2026 spending line into a question about who owns workflow redesign.
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BCG has companies taking AI spending from 0.8% of revenue to about 1.7% this year, while McKinsey finds only 39% can see any effect on company-wide operating profit. That gap makes architecture a finance question.
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AI made production cheap and pushed the bill downstream onto review and integration work the buyer already pays for, which is where Webb expects the correction even as Bain finds 90% of budgets still rising.
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Metered spend broke the per-seat budget at Uber, and a dollar ceiling only rations the invoice. Commonwealth Bank shows the version of the same argument that survives a CFO's questions.
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An Atlanta Fed finding sits alongside a five-year study of corporate announcements suggesting the AI productivity return is being spent on headcount cuts that sour the workers who must use the tools.
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A Fortune columnist reads the 2026 AI economy as an unstable system of frontier labs, Chinese open weights and app companies. The checkable part is price, not payoff.
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Leadership · August 18, 2026 · 1 publisher
Leadership · August 15, 2026 · 1 publisher