GaneevEcoWhat most leadership AI training gets wrong
Too many executive AI briefings default to technical depth — architecture, training methods, benchmark scores — that doesn't change a single decision a leader actually needs to make in their role. That time is almost always better spent on the practical questions that genuinely require executive judgment, rather than technical background an executive will never need to apply directly themselves.
What's actually worth an executive's time
- Where AI genuinely helps your business today versus where it's still unproven — grounded specifically in your own use cases, not generic industry hype or a vendor's marketing materials.
- What governance and risk questions to ask before approving a new use case, without needing to personally evaluate the underlying technology in any technical depth.
- Enough hands-on use to have informed instincts — the fastest way to build this is direct, personal use, not a slide deck describing the technology in the abstract.
What a genuinely useful session actually looks like
The most effective executive AI sessions we've run spend the majority of the time hands-on rather than presenting slides — executives working through their own real, current business questions directly with the tool, with a facilitator there to guide and answer questions as they come up naturally in the moment, rather than lecturing through a fixed curriculum regardless of what's actually relevant to that specific room of people.
That hands-on format tends to produce noticeably better outcomes than a purely presentation-based briefing, because executives leave with their own direct, personal experience of what the tool can and can't do well, rather than someone else's secondhand summary of that experience delivered to them in a slide deck they'll likely forget within a week of the session.
It's also worth tailoring the session specifically to the industry and regulatory context the leadership team actually operates in, rather than delivering a generic, one-size-fits-all AI briefing. A healthcare executive team and a manufacturing executive team have genuinely different risk questions worth prioritizing, and a session that reflects that specificity lands as considerably more credible and immediately useful than one that could have been delivered identically to any industry.
The best sessions also leave leadership with a concrete, specific next step, not just improved general understanding. A vague sense that "AI is important" doesn't translate into action on its own — ending the session with an agreed decision, such as which department runs the next pilot, converts the literacy-building exercise into forward organizational momentum rather than leaving it as a one-off educational event.
It's also worth following up roughly a month later with a short, informal check-in on how leadership's own thinking has evolved since the session, since initial reactions in the room don't always predict how the ideas actually settle once people have had time to apply them to real decisions.