Employees don't want prompt training, they're ready to build with AI

They moved past the basics while you're still planning the course

Most organizations aren't training their people on AI. 32% have nothing in place. Another 18% say something is in development. 3% aren't sure. About half haven't started. The few that have acted are running prompt courses.

→ It's not good enough. Nor is it legal.

The law is not waiting for you to catch up

If your organization uses AI, in any form, for any purpose, you are required to ensure that everyone who works with it understands how it functions, where it fails, and what the risks are.

Shadow AI is a grey area. If your organization hasn't provided adequate tools and employees use their own, your obligation may follow them there. If untrained staff cause harm, your organization carries civil liability.

This literacy obligation also requires documented, auditable proof of who was trained, on what, and when. A defensible record. The regulator can ask for it at any time. If that documentation does not exist, your organization is already non-compliant.

The problem isn't intent, it's lack of ownership by leadership

Only 13% of organizations have all four AI governance foundations in place: AI roadmap, AI council, generative AI policy and AI ethics policy.

And 41% describe their AI momentum as inconsistent or siloed.

That signals a lack of ownership. Without ownership, nobody is accountable for building it. Without that, training has no strategic anchor.

The 2026 State of AI for Business Report names it: this is not a knowledge problem or a budget problem. It is a leadership problem.

Your employees ask for more than just prompt training

They have self-educated past the starting point most training programs have not left yet. They are asking for the next level AI training.

58% want to integrate AI into their existing workflows
51% want to use AI agents
45% want to build no-code tools

Prompting? 15%

The training they want doesn’t exist in most organizations.

A prompt course is not AI literacy

Your people already named part of it. Workflows. Agents. No-code tools. Real AI literacy goes further:

Working with AI structrally
Give AI clear, structured instructions. Build the workflows and agents that follow.

→ Once people can do this, automation is the next step.

Bias and ethics: the lines you cannot see
Every AI system learned from human data and carries human bias. Your hiring tool may already be filtering out candidates in ways nobody has reviewed. Your performance system may be reinforcing patterns nobody chose.

→ You will not see it, but the bias is there.

Data safety: know what goes where
Internal tools, such as Copilot, keep your data inside your walls. External tools, such as ChatGPT, Claude, Gemini, may use what you give them. Customer data. Financial projections. Legal documents.

→ Most employees do not know the difference.