In high school, Shohei Ohtani didn’t just dream of the MLB — he engineered it.
He wrote down his main goal and backed it with 8 sub-goals, each one tightly aligned to his ultimate MLB vision.
That clarity, structure, and intentionality weren’t just rare for a teenager — they’re still rare in most C-suites.
Too many organizations are treating AI adoption like a checklist item. “Try ChatGPT.” “Launch a pilot.”
That’s not a strategy — that’s a hope.
Like Ohtani, transformational leaders need to define the big, bold objective: Where exactly will AI give us competitive lift?
Then reverse-engineer it with clear, aligned sub-goals: data modernization, workforce reskilling, tech partner alignment, use case selection — and a culture that can scale it all.
If a teenager could plan his way to global baseball domination, what’s stopping your leadership team from doing the same with AI?
What’s your equivalent of ‘making the MLB’ — and do you have the sub-goals to get there?
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