Tech Leaders Feel Unprepared for AI Agent Deployment Surge

Technology executives are caught in a bind: Four in five report feeling pressure from their CEOs to drive artificial intelligence transformations, yet only 11% say they're actually prepared for the scale of AI agent deployment expected over the next year.

Those findings come from IBM's Institute for Business Value, which surveyed 2,000 C-suite technology executives in the first quarter of this year as part of its 2026 Tech Leader Study, conducted with Oxford Economics. The research was first reported by ESG Dive.

The gap between expectation and readiness is creating significant operational challenges. Seventy percent of surveyed executives said teams within their organizations are deploying AI faster than IT departments can track. Two-thirds of CIOs and CTOs reported being held accountable for AI systems they don't fully control.

Why it matters

This disconnect between AI adoption speed and governance capability creates concrete business risks. Organizations relying on manual governance or human approval of every AI output experience 25% more security incidents than those embedding controls directly into their AI systems. The pressure is personal too — separate research from Writer found that 61% of executives fear losing their jobs if they fail to lead their organizations through the AI transition successfully.

The governance gap widens

By next year, surveyed executives anticipate a 38% increase in AI agents deployed across their organizations. Yet governance frameworks aren't keeping pace — 77% of organizations report that AI adoption is outpacing their governance capabilities.

"Many organizations are still operating with architectures, controls and funding models designed for human-speed decision making, in systems that now operate at machine speed," said Matt Lyteson, CIO at IBM, in the report.

This mismatch creates both security and financial exposure. The study found that organizations treating AI control, governance, and investment as interconnected elements of their strategy achieve significantly better outcomes.

Financial visibility drives results

Companies that build governance and financial controls directly into their AI systems see dramatic advantages. According to IBM's research, these organizations deploy 16 times more AI agents, deliver 18% higher operating margins, and spend four times less on AI budgets compared to peers.

The key is embedding financial visibility into the development process itself, rather than treating it as an afterthought. As executive focus shifts from innovation to proving measurable returns in 2026, this integrated approach becomes increasingly critical.

Lyteson emphasized that tech leaders should view governance as an engineered system defining what agents can do, when they must pause, and how decisions remain explainable throughout the AI lifecycle. He recommended embedding control and visibility from the start to enable confident scaling.

"If you feel a widening gap between the pace of AI change and your organization's ability to respond, know that that gap is strategic, not just operational," Lyteson said. "Closing it will require redesigning the enterprise itself — its architecture, its controls, and its operating model."

The findings were published by IBM's Institute for Business Value in partnership with Oxford Economics.