You can delegate the rollout. You can't delegate understanding it.
Briefings won't teach you where AI is strong, where it confidently lies, or how much context it needs. Thirty minutes a day on your own work will, and it changes what you buy, who you hire, and what your team copies.
In short
Executive AI literacy comes from using AI on your own work. Briefings about it don't build the skill.
- Leaders who don't personally use AI make systematically bad AI decisions: they over-buy tools, under-invest in training, and can't tell an AI-fluent hire from a buzzword-fluent one.
- Spend thirty minutes a day for a month using AI on your real executive work: draft the board update with it, summarize the pipeline review, make it argue against a pricing decision.
- When the CEO screen-shares their own AI workflow, failed prompts included, adoption follows, because teams copy what their leaders actually do.
- You wouldn't approve a market entry without having met the market. This is the same.
Leaders who don't use AI make bad AI decisions
Watch a leadership team that has never personally used AI sit through a vendor demo. The demo is rehearsed on clean inputs, and it's impressive, because demos are built to be. A leader who has spent a month making AI do their own work can smell where that demo falls apart on real, messy inputs, and asks the question that exposes it. A leader who hasn't is buying a performance. Over-buying tools is the first failure mode.
The second is under-investing in training, and it comes from the same place. The demo made the tool look easy, so the training line in the budget looks optional. But the demo was easy because the person driving it already knew where the model is strong and how to feed it context. Your team doesn't know that yet, and won't learn it from a license. This is how companies end up with shelves of subscriptions and the quiet verdict that 'AI didn't work here.'
The third is hiring. Without firsthand fluency, you can't tell the candidate who rebuilt their own workflow and can tell you exactly where AI failed them from the candidate who has memorized the vocabulary. Both sound confident in an interview. Only one is real, and the difference matters even more once you're weighing whether to hire AI talent or train the team you have. Executive AI literacy is not a nice-to-have on top of these decisions. It is the input to them.
Thirty minutes a day, on your own work
The fix is unglamorous. Skip the course, the offsite, and the extra briefing deck. Thirty minutes a day using AI on your actual executive work, for a month. Draft the next board update with it. Have it summarize the pipeline review before your team presents it. Take a pricing decision you're leaning toward and make AI argue against it, hard.
A month of that teaches you three things no briefing can. Where it's shockingly good: first drafts, summaries, and adversarial pressure-testing of your own reasoning. Where it confidently lies: it states wrong things in exactly the same fluent tone as right things, and you only develop the reflex to check by getting burned on work you know cold. And how much context it needs before it's useful, which is precisely what your team experiences every day, and why the training budget you were about to trim matters as much as the tools. That firsthand feel is also what lets you pressure-test a plan like the first 90 days of an AI transformation instead of just approving it.
Then comes the part that pays for the whole month. The leadership meeting where the CEO screen-shares their own AI workflow, including the prompt that failed, does more for adoption than any mandate. A mandate makes AI use compliance. A demonstration makes it status, something the room wants to be good at instead of something to hide being bad at. Teams copy what leaders do, not what they announce. If you want an honest read on where you stand before you start, the AI skills quiz will give you one.
You wouldn't approve a market entry without having met the market. You wouldn't sign an acquisition without walking the floor. AI is now load-bearing in your tool decisions, your training decisions, and your hiring decisions. Meet it the same way.
How to build executive AI literacy in a month
Run this for thirty days on your real executive work. The point is firsthand feel, not a course.
- 1
Block the time
Reserve thirty minutes a day for AI on your own work, and protect it like a board meeting.
- 2
Draft something real
Write your next board update or all-hands memo with AI, then edit it down yourself.
- 3
Summarize before your team presents
Have AI summarize the pipeline review or the monthly financials before your team walks you through them.
- 4
Make it argue against you
Have AI argue against a real decision you're about to take, and note where it lands a punch.
- 5
Keep a running note
Track where it was excellent, where it lied, and what context it needed before it was useful.
- 6
Screen-share your workflow
End the month by demonstrating your workflow, failures included, in a leadership meeting.
Common questions
Do executives need to learn AI?
Yes, hands-on, because the decisions only executives make depend on it. Tool purchases, training budgets, and AI-related hires all require a firsthand feel for where AI is strong and where it confidently fails, and that feel doesn't transfer through briefings. A useful first step is checking where your company actually stands with an AI readiness scorecard.
How can a CEO learn to use AI?
Thirty minutes a day on real executive work, for a month. Draft the board update with AI, summarize the pipeline review, and make it argue against a decision you're leaning toward. Real tasks expose what demos hide: where it excels, where it lies, and how much context it needs before it's useful.
What happens when leaders don't use AI themselves?
Three predictable failures: they over-buy tools because vendor demos look airtight, they under-fund training because the tools looked easy in the demo, and they can't separate AI-fluent hires from buzzword-fluent ones. Adoption stalls too, because teams copy what leaders do. Pairing your own practice with structured training for the team fixes both ends.
Lead it firsthand
See where your company stands, then build the same fluency across your team.
Power users save 10+ hours a week. Learn how.
The practical AI habits behind it, one a week.

Written by
Adrián Ridner
Co-founder of Candova, founder of Study.com, and O'Reilly AI author
Adrián has spent two decades as a serial entrepreneur opening the doors to the life-changing impact of education. Before Candova, he founded and scaled Study.com into the largest platform for online college-credit courses, certification prep, and career-aligned degree pathways, helping millions of learners earn credentials for the modern workforce.