KPMG Q2 2026: Employee agent use doubled; enterprise rollout flat
Employee adoption accelerates inside existing deployments
KPMG's Q2 2026 AI Pulse survey found employee AI agent usage more than doubled quarter-over-quarter, rising from 23% in Q1 to 56% in Q2, according to analysis of Agentry. The data point to a maturation pattern: while enterprise deployment remained steady around 53%, the internal adoption surge suggests organizations already committed to agents are scaling their use faster than new enterprises are entering the market.
The gap between employee adoption (56%) and enterprise deployment (53%) indicates that within organizations deploying agents, individual usage is outpacing overall organizational rollout—a sign of organic, bottom-up adoption momentum alongside formal IT initiatives. This pattern reflects what KPMG's technology-sector survey characterized as the sector "moving into a more advanced phase of execution," moving past pilot phases into scaled operations.
What flat enterprise growth reveals
The stability in enterprise deployment at 53% does not indicate stalled adoption; rather, it suggests the market is consolidating gains. The earlier cohort of early-adopting enterprises is intensifying agent usage, while the next wave of enterprise buyers remains in evaluation and budgeting phases. Q2 2026 is a midyear checkpoint in what KPMG describes as a period of steady investment across the broader market—neither a boom nor a contraction, but sustained motion.
This split between rising employee usage and flat enterprise numbers matters for vendors, investors, and IT leaders: the addressable market for new enterprise agent platforms remains large, but expansion now depends on converting currently non-deploying organizations, not on deepening usage within existing ones (which is already happening organically).
Implications for the agent economy
The data reinforce a pattern seen across AI adoption cycles: early movers pull ahead through volume and skill accumulation, while the broader population lags. For developers and tool builders, this Q2 snapshot confirms demand for features that make agents easier to operate and monitor at scale—the kinds of tools enterprises need when moving from 5-10 agent instances to dozens or hundreds.
Funding and M&A activity may increasingly reflect this split, with capital flowing toward enterprises and platforms serving the "scaling" phase rather than the "adoption" phase. New agent framework releases and enterprise partnerships will likely focus on operationalization rather than proof-of-concept simplicity.