BCG Finds Nearly Half of Companies Now Get Value From AI as Agents Near Autonomy

The Applied AI Index 2026, drawn from 1,330 executives, says firms that pair strategic clarity with applied AI extract five times the return — while most still lack controls for autonomous agents.

Nearly half of companies now generate value from artificial intelligence, Boston Consulting Group said Wednesday, as spending jumps and executives prepare to give software agents more room to act on their own.

The finding comes from BCG’s Applied AI Index 2026, a survey of 1,330 CxOs and senior leaders across more than 20 sectors. A year earlier, the firm said only about 5 percent of companies extracted substantial value. The new cut is sharper. BCG classifies 7.5 percent of firms as “future-built,” the most mature group, and 41 percent as scaling. Another 47 percent are emerging. Only 4.5 percent are still stagnating.

Future-built companies show 2.4 times the top-line growth of firms in the bottom half of the sample. The firm’s accompanying release said that same group delivered 2.3 times the total shareholder return and 2.8 times the EBITDA growth of laggards. Scaling companies, the larger middle tier, posted 1.8 times the shareholder return of laggards.

The formula BCG puts on the page is blunt. Strategic clarity plus applied AI, the authors wrote, produces transformative impact. Companies that perform well on both dimensions generate five times as much value from AI as companies that do not.

“The perception is that AI isn’t delivering,” said Nicolas de Bellefonds, BCG’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.”

Money has followed the shift. Corporate AI spending has doubled in a year, to 3.3 percent of revenue. About 80 percent of that outlay now sits outside the enterprise IT budget. The report also traces a longer climb: from about 1 percent of revenue in early 2025 to 3.3 percent now.

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

How the money is organized matters more than the headline rate. Future-built companies are 3.5 times more likely than laggards to fund a single multiyear program, 61 percent versus 17 percent. Among future-built firms, 61 percent have already moved from isolated pilots to an enterprise-wide program. Ninety-five percent use clear KPIs or track P&L value from AI. Companies that measure AI directly in the P&L realize three times the AI value of those that do not formally measure it — 3.6 percent versus 1.2 percent.

Agentic systems are the next slice of that return. BCG said the agentic share of total AI value rose from 17 percent in the 2025 sample to 22 percent in 2026 and is on track to reach 39 percent by 2030. The press release rounded the 2030 figure to about 40 percent. Forty-four percent of future-built companies already realize value from agentic AI. Two percent of laggards do.

By 2030, 42 percent of companies expect to grant agents autonomy — decisions without human approval. Only 5 percent have the full set of critical controls in place today. Companies with all six AI controls across the enterprise generate three times as much agentic AI value as companies with just one control. The release said those controls include clear oversight and rollback gates, plus security, audit and cost guardrails.

“Companies are preparing to hand agents real decision-making authority, and very few have the controls to do so safely,” said Jeff Walters, a BCG managing director and senior partner and a coauthor. “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.”

Work is moving with the tools. Companies expect a workforce reduction of roughly 10 percent to 15 percent from AI by 2030. Nearly 90 percent of respondents — 89 percent in the report’s detailed figures — expect AI to generate new work. About 11 percent expect it mainly to replace existing jobs. Dedicated AI roles are projected to rise from 7 percent of the workforce in 2026 to 22 percent by 2030. Seven in 10 future-built and scaling companies are already retraining staff.

Strategic workforce planning is practiced by 55 percent of future-built companies and 17 percent of laggards.

“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, a BCG managing director and senior partner and a coauthor. “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.”

BCG’s 10-20-70 model assigns 10 percent of the effort to algorithms, 20 percent to technology and data, and 70 percent to people, organization and processes. Applied AI, in the firm’s account, rests on three pillars: an AI-first operating model with agentic controls; a workforce rebuilt around humans and agents; and an agentic platform powered by data. Ninety-five percent of future-built companies are undergoing a data transformation. More than two-thirds are committing to a single enterprise-wide AI platform with a common architecture and control plane.

The payoff is not confined to software firms. Every sector in the study included at least one future-built or scaling organization. Where companies take a core workflow to scale — credit decisioning in banking, claims-fraud detection in insurance, demand forecasting in consumer goods — they generate double-digit gains in productivity, revenue and cost reduction on those workflows.

Sector, legacy and starting point do not determine destiny, the authors wrote. Leadership choices do.