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Two-thirds of daily GenAI users have never been trained

AGASI Team

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Frequent use is not the same as readiness

Organizations often assume that frequent GenAI users are their most capable. They use the tools daily, they have figured out workflows, and they rarely ask for help. Surely they are the last group that needs training.

The data tells a different story.

What the data shows

Among daily and weekly GenAI users — the people generating the most outputs and making the most AI-informed decisions — roughly two-thirds have never received any formal training.

Training status by usage frequency — % of respondents

63% of daily users and 64% of weekly users report no GenAI training at all. The pattern is nearly identical across both groups: the most frequent users are no more likely to have been trained than occasional ones.

Why it matters

Untrained frequent users are a compounding risk. Every day without training is another day of unverified outputs, unchecked data handling, and uninformed decisions repeated across dozens of workflows. The errors described in earlier findings — verification gaps, data leaks, overconfidence — are amplified by volume.

A daily user who blindly trusts AI output does not make one mistake. They make the same mistake fifty times a month. Prioritizing these users for a short diagnostic like the GenAI Capability Pulse and targeted enablement delivers the fastest return on training investment.

What to do about it

  • Prioritize frequent users first: They drive the most AI-informed decisions, so capability gaps scale fastest with them.
  • Require a baseline before access expansion: Make a short Verification + Data Handling module a prerequisite before broader tool rollout or power-user access.
  • Reinforce in workflow: Add checklists, safe-input rules, and review steps where AI outputs feed into decisions or customer-facing work.

Prioritize frequent users first — they drive the most decisions through AI, so mistakes scale fastest with them.

These findings are drawn from the GenAI Capability Pulse — a scenario-based assessment that measures what non-technical teams actually do with GenAI, not what they think they can do. If your organization is scaling GenAI adoption, start with a baseline.

Source: AGASI GenAI Capability Pulse. Frequent users = daily + weekly (n=133). Training exposure is self-reported.

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