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Risk & Governance

What is the biggest barrier to AI adoption in 2026?

By AI Statistics Center Editorial TeamLast updated: Reviewed against primary sources

Short Answer

The AI skills gap is the single biggest barrier to enterprise AI integration, according to Deloitte's State of AI in the Enterprise 2026 survey of 3,235 senior leaders across 24 countries.

Key Facts

  • 51% — of organisations using AI have experienced at least one negative consequence (McKinsey, 2025).
  • 50.11% — of workers receive little or no AI training from their employer (Exploding Topics, 2025).
  • 48.8% — of workplace AI users cite privacy and security as a concern — the biggest fear at work (Exploding Topics, 2025).
51%

of organisations using AI have experienced at least one negative consequence

Nearly one-third report consequences from AI inaccuracy. Inaccuracy is the most common risk both experienced and mitigated.

Why is the AI skills gap so severe?

1.63 million AI-related roles are open worldwide against a pool of just 518,000 qualified candidates — a 3× gap. AI engineer hiring grew ~25% year over year, and 50% of workers receive little or no AI training from their employer. Demand vastly exceeds supply.

What other barriers do companies face?

After skills, the most-cited barriers are data quality and integration, governance and compliance, cost, and workflow redesign. 51% of AI-using organisations have experienced at least one negative consequence, with nearly one-third reporting consequences from AI inaccuracy — the most common risk.

What worries workers most about AI?

Privacy and security is the top workplace AI concern (48.8%), followed by fears of being made to look replaceable (43.31%) and quality worries (42.12%). 55% of companies still lack a formal AI policy, which compounds every one of these concerns.

Supporting Data

Recommended Citation

AI Statistics Center, citing McKinsey (2025). https://aistatisticscenter.com/answers/what-is-the-biggest-barrier-to-ai-adoption

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Last reviewed and updated: by the AI Statistics Center Editorial Team. All statistics are sourced from primary research publications and linked directly to their origin.