The AI value gap: what the leaders do differently.
BCG, KPMG and Gartner all find a small group pulling ahead on AI returns. What separates them, and which of their habits any organisation can adopt.
- Topic
- AI ROI
- Product
- Novie Control
- Format
- Guide
- Reading time
- 2 min
- Published
- 5 November 2026
The AI value gap is the distance between the small group of organisations reporting strong returns from AI and everyone else. BCG counts 7.5 percent of companies as future-built in 2026. What separates them is mostly management: they see what AI costs, name who answers for each outcome, run AI through a central layer as a portfolio and stop what does not pay.
How wide the gap is.
BCG found in September 2026 that its future-built group, 7.5 percent of companies, achieved 2.4 times the revenue growth and 2.8 times the EBITDA growth of laggards. A year earlier it had counted 5 percent as future-built and 60 percent reporting minimal gains despite substantial investment. McKinsey's 2025 survey put AI high performers at about 6 percent.
TakeawayA group of 5 to 8 percent is pulling ahead, and the rest of the market is starting to scale.
What the leaders do differently.
- They see the cost. KPMG found established ROI at 15 percent with full visibility of AI operating costs and 3 percent without.
- They name owners. KPMG found clear executive accountability for AI outcomes goes with established ROI at more than three times the rate.
- They run a management layer. 86 percent of KPMG's established-ROI group run one, against 31 percent of those experimenting.
- They manage a portfolio. Gartner found continuous tracking and cutting underperformers went with positive returns on 81 percent of initiatives.
- They stop what does not pay. Gartner found stopping rules went with 2.3 times the chance of top performance.
- They govern agents. BCG found 42 percent expect agents to hold real decision authority by 2030, and 5 percent have the full set of controls today.
TakeawayThe leaders differ less in the AI they buy and more in how they manage what it costs and returns.
Where to start.
Start with the habit that makes the others possible: one view of what every AI workload costs, with an owner for each. With that in place, budgets, portfolio reviews and stop rules each have the numbers they need.
TakeawayStart with one view of AI cost by workload and an owner for each, and the other habits follow.
How Novie Control does it
You can see what AI costs to build.Can you see what it costs to run?
Sources
- BCG, AI Is Starting to Pay Off. Almost 50% of Companies Now Generate Value with It (30 September 2026)
- BCG, The Widening AI Value Gap: Build for the Future 2025 (30 September 2025)
- McKinsey, The state of AI in 2025: Agents, innovation, and transformation (November 2025)
- KPMG International, Global AI Pulse Q2 2026 (June 2026)
- KPMG International, Global AI Pulse Q3 2026 (September 2026)
- Gartner, Survey Finds Only 22 Percent of Organizations Have Successfully Scaled AI Across Multiple Business Units (1 September 2026)
- Gartner, Survey Finds Only 13% of CIOs Say Their Enterprise Has Realized Significant or Transformational Value from AI (19 October 2026)