Research — Outcome
Research that measures AI outcomes.
Verifiably links AI spend to an accountable team, workload, and business result. Every entry below is tagged outcome by an editor, not by the source itself, and carries its own source, publication date, and last-checked date.
CGI
Sep 2026
From AI to ROI
A consultancy-run show on why pilots stall in proof-of-concept purgatory, and why efficiency gains alone don't establish that an AI deployment succeeded.
BCG
Aug 2026
Why AI Isn't Delivering ROI in Logistics
An industry-vertical survey of 30 logistics players — useful precisely because it is not horizontal. The gap between "AI is a priority" and "AI produced a measurable result" is unusually stark and unusually well quantified here.
CAIO Connect
Jun 2026
The CAIO Connect Podcast
A mid-2026 review episode on the AI productivity J-curve and the general difficulty of measuring ROI. Low evidence level — commentary rather than original data.
RGP, via CFO.com
Dec 2025
CFOs See Little Substantial ROI From AI Spending
200 US CFOs. Only 14% see clear, measurable AI impact today, while 66% expect it within two years — a gap between current results and forward expectation that shows up across most CFO-focused surveys in this index.
BCG
Sep 2025
The Widening AI Value Gap
The actual source of the "5% future-built / 35% scaling / 60% minimal value" segmentation that gets cited around this category — often misattributed to BCG's later AI Radar report. 1,250 companies assessed against a 41-capability maturity framework, and most are stuck in the bottom tier.
MIT, reported in Fortune
Aug 2025
95% of Enterprise GenAI Pilots Fail to Reach P&L Impact
The most-cited failure statistic in the category. Measures a different cohort and timeline than IDC's $3.70 figure — the two numbers are not contradictory once you read past the headline, they are answering different questions about different companies.