Everyone adopted AI. Almost no one is being paid for it. Our 36-page outlook on who converts autonomous AI into a compounding return between now and 2029 — and who quietly pays its costs instead.
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Not a trend recap. A decision tool: each finding is sized with primary data and tied to a move you can make before the next 12–36 months happen.
88% adopted AI; 6% capture real value. We isolate the four behaviors that put a firm on the right side of the gap — and why late movers pay 2026 prices for 2024 results.
Autonomous task length has doubled every 4–7 months for six years. We show when delegation stops being a tool and becomes an org-chart problem — and what to do first.
Capability doubles in months; governance maturity crawls. Why the gap becomes the single largest source of AI losses by 2027 — bigger than model spend for laggards.
US data-center demand doubles by 2027 while gas-turbine slots sell out through 2030. From 2027, compute strategy is energy strategy — and electricity politics becomes AI politics.
The honest version of the capex question — a productive build with a speculative financing layer. Our base case, the probability we attach, and the signposts to watch.
The same moves maximize the dividend if AI compounds and protect you if it corrects. You don't bet on a scenario — you build the capability that pays in all three.
Every chart is built from named, dated sources and carries its attribution inline — then backed by a numbered reference list. A few pages:
At $2.59 trillion of global spend, your competitors have the same models, clouds, and agents. Budget is no longer a differentiator. We call the return that separates winners from the rest the autonomy dividend — and three compounding curves make it real.
The length of work AI completes autonomously is doubling every 4–7 months. Workweek-scale tasks arrive in 2027.
Inference at constant capability is falling ~tenfold a year. Any workload uneconomical today is ~10x cheaper in twelve months.
Agents now carry employee IDs and access scopes. The average Fortune 500 firm is projected to run 150,000+ by 2028.
Curves hold or accelerate; ROI broadens; the dividend concentrates among prepared adopters.
Capex growth decelerates in 2027; over-levered deals unwind; survivors buy cheaper, better-utilized compute.
ROI fails to broaden as power and politics stall the build; a financing correction, not a technology collapse.
We prioritize primary documents over secondary coverage, date every figure, and flag what's contested. Forecasts are labeled as ours.
Three years from now, the AI conversation won't be about whether the technology works. It will be about who was paid for it.
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