Docebo Report Finds 85% of Employees Unprepared to Use AI at Work

Why It Matters

The Docebo report shines a light on a critical bottleneck in the AI adoption curve: human capability. As enterprises pour capital into generative AI, chatbots and predictive analytics, the inability of staff to apply these tools threatens to stall the promised efficiency gains. By quantifying the readiness gap, the study forces CEOs, CHROs and CFOs to confront a hidden cost—ineffective training—that could erode ROI on AI spend. Beyond the immediate financial impact, the findings have broader societal implications. A workforce that cannot harness AI may see widening skill disparities, potentially accelerating talent churn and widening the divide between AI‑savvy firms and laggards. Addressing the gap now could set a new standard for continuous, on‑the‑job learning in an increasingly automated economy.

Key Takeaways

• 85% of employees say AI training doesn’t help them on the job
• Nearly 60% feel learning programs aren’t tailored to their needs
• 1 in 5 workers have received no AI training at all
• Survey covered 2,000 respondents across six major economies
• Docebo positions its AI‑driven platform as a solution to close the gap

Pulse Analysis

Docebo’s data arrives at a moment when the edtech market is grappling with the paradox of abundant AI tools but scarce effective instruction. Historically, technology rollouts have outpaced pedagogical support—think of early LMS adoption in the 2000s—leading to underutilization. The 85% figure suggests a repeat of that pattern, but on a scale amplified by generative AI’s rapid diffusion.

From a competitive standpoint, Docebo’s positioning as an AI‑ready learning platform could differentiate it from legacy LMS providers that have yet to embed AI analytics into curriculum design. If Docebo can demonstrate measurable improvements in skill transfer, it may capture a larger share of the projected $30 billion corporate learning spend slated for AI‑enhanced solutions by 2027. However, the report also raises a cautionary note: without clear evidence of ROI, firms may hesitate to allocate additional budget to new platforms.

Looking ahead, the real test will be whether organizations translate these insights into concrete program redesigns. The upcoming virtual roundtable and follow‑up briefing could serve as catalysts, but success will depend on cross‑functional alignment—HR, IT, and business units must co‑create learning pathways that mirror actual AI workflows. If they do, the AI readiness gap could shrink, turning today’s challenge into a competitive advantage for early adopters.