As corporations pour billions into artificial intelligence (AI), a sobering reality is setting in: the technology is only as effective as the people authorized to use it.
According to the latest research from Forrester, the primary bottleneck to AI-driven productivity isn’t the software; it’s a workforce paralyzed by a lack of training and a pervasive fear of obsolescence.
Despite a reported 68% of organizations deploying generative AI in production, and 81% of decision-makers hailing AI copilots as essential, employee readiness has remained flat over the past year. Forrester’s “AI Quotient” (AIQ) — a metric measuring the readiness of individuals and teams — showed virtually no progress across the U.S., UK, Germany, France, and Australia.
The report identifies a significant disconnect between corporate ambition and educational investment. While 51% of firms now offer some form of internal AI training to non-technical staff, a marginal increase from 47% in 2024, critical skills remain neglected. Only 23% of organizations provide training in prompt engineering, the fundamental ability required to communicate effectively with large language models (LLMs).
Technical illiteracy is only half the battle. A more visceral barrier is the “ambient environment of anxiety” regarding job security. While a total “job apocalypse” failed to materialize in 2025, 43% of employees remain convinced that automation will trigger mass layoffs within the next five years.
These fears are not unfounded. Worker skepticism is fueled by candid admissions from the C-suite; a recent survey found that 51% of UK business leaders view AI primarily as a tool to slash investment in human staff.
Furthermore, 43% of leaders expect to reduce entry-level roles over the coming year in favor of automated solutions.
“Some of our employees fear job loss, and it turns them away from AI altogether,” noted one business leader cited in the report. The resistance creates a self-fulfilling prophecy: workers who avoid AI fail to gain the skills necessary to remain competitive in an automated landscape.
Forrester argues that for AI to deliver on its promise, organizations must pivot from viewing AI literacy as a “box-ticking exercise” to a strategic priority. The report suggests that firms must frame AI as an “opportunity builder” and explicitly articulate how the tech benefits the worker, not just the bottom line.
Interestingly, formal classroom learning may not be the silver bullet. The research indicates that social learning — collaborative, peer-to-peer knowledge sharing — plays a disproportionately large role in raising a team’s AIQ.
“The organizations that treat AI literacy as a strategic priority… will be the ones that unlock meaningful productivity gains,” said JP Gownder, vice president and principal analyst at Forrester. However, the path forward remains steep. With a recent PwC report showing that over half of CEOs have yet to see increased revenue or decreased costs from their AI investments, the pressure to solve the human element has never been higher.
