• New BCG Research Finds Nearly Half of Companies Are Capturing Meaningful Value from AI, Overturning the Idea That Enterprise AI Isn't Paying Off
• Corporate AI Spending Has Doubled in a Year, to 3.3% of Revenue, and More Than 80% of It Now Sits Outside the Enterprise IT Budget
• By 2030, 42% of Companies Expect to Give AI Agents Real Decision-Making Authority, Yet Only 5% Have the Controls in Place to Do So Safely

BOSTON-A year ago, the story of enterprise AI was that of a small, elite contingent pulling away from a large, struggling majority. Boston Consulting Group's 2025 research found just 5% of companies generated substantial value from AI, while most reported minimal returns. In 2026, that picture has shifted. According to BCG's new Applied AI Index 2026, companies are moving from experimenting with AI to delivering significant value: the middle tier of the market has moved up, investment has surged, and the binding constraint is no longer whether AI creates value. It is whether companies can control and govern it.

The study, based on a survey of 1,330 CxOs and senior leaders, challenges the "AI isn't paying off" narrative that has dominated 2026 coverage.

The Value Is Real, and It's Broader Than the Market Believes

The most advanced companies, the 7.5% that BCG classifies as future-built, are pulling far ahead - delivering 2.3 times the total shareholder return, 2.4 times the revenue growth, and 2.8 times the EBITDA growth of laggards. But the more consequential finding involves the cohort of companies beneath the future-built ones: the further 41% of companies that are actively scaling AI and also outperforming, with, for example, 1.8 times the shareholder return of laggards. Together, the future-built and scaling groups make up nearly half the market - evidence that meaningful AI value is no longer confined to a small elite. It is no longer accurate to say most companies get nothing from AI.

"The perception is that AI isn't delivering," said Nicolas De Bellefonds, the firm's global AI leader, and a coauthor of the report. "Our data says the picture is more nuanced: nearly half of companies are already creating real value from it, while many others are still struggling to translate investment into impact. The challenge now is both to realize that value at scale and to govern what companies deploy."

AI Has Become One of the Largest Investments in Business

AI spending has grown, from about 1.7% of revenue in late 2025 to 3.3% now. And it has spread well beyond the enterprise IT function: more than 80% of AI spending now sits outside enterprise IT. AI is no longer just a technology initiative; it has become a core business investment, and one many boards are underestimating.

"AI spending has doubled in less than a year, and much of it no longer sits in the enterprise IT budget," said Michael Grebe, managing director and senior partner at BCG and a coauthor of the report. "Companies that still treat AI solely as an IT cost category are underestimating both what they're spending and what it could return."

The Real Gap is Control, Not Capability

As value and investment climb, companies are poised to give AI agents decision-making authority - faster than they can govern it. By 2030, 42% of companies expect to grant agents genuine autonomy, but only 5% have the full set of controls in place today. BCG's report identifies controls that agentic AI requires, including clear oversight and rollback gates to security, audit and cost guardrails. Agentic AI is expected to account for about 40% of all AI value by 2030.

"Companies are preparing to hand agents real decision-making authority, and very few have the controls to do so safely," said Jeff Walters, managing director and senior partner at BCG and a coauthor of the report. "That gap is the defining challenge of the next two years. It won't be solved by regulators or technology vendors. The responsibility sits with the companies deploying these systems."

AI Reshapes Work - and It Transforms the Middle, Not the Experts

Companies expect a workforce reduction of roughly 10% to 15% by 2030. But the story is not the end of expertise. It is the thinning of coordination and middle-management layers, a change that the most advanced firms see as a path towards leaner organizational structures. Rather than simply cutting, future-built and scaling companies are reshaping roles: seven in ten are already retraining staff. Across all companies surveyed, dedicated AI roles are set to triple, from 7% of the workforce in 2026 to 22% by 2030. In a growing economy, new roles absorb much of the displacement.

"AI is reshaping the workforce, not simply shrinking it, with the pressure landing hardest on middle management rather than on senior or functional experts," said Amanda Luther, managing director and senior partner at BCG and a coauthor of the report. "The companies pulling ahead are retraining their people and building dedicated AI roles at scale. How you redesign work and reskill your workforce matters far more than how many jobs you cut."

The Playbook: What Distinguishes the Leaders

The study maps a differentiated path depending on where a company starts: what laggards must do to begin scaling, and what scaling companies must do to reach the frontier. What sets the leading companies apart is that they run AI as an enterprise-wide program: they start with strategic clarity on where AI creates value, apply it in high-value areas by reshaping workflows end to end, invest in governance and the workforce alongside the technology, and measure the transformative impact directly in their P&L.

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