(And what your career in the 2020s has in common with my first Wang computer in 1983)
In 1983, I took my first Wang computer course.
At the time, it felt technical, specialized, and frankly… optional.
Many professionals believed computers were for secretaries, accountants, or IT.
Executives led with judgment, experience, and people skills — not keyboards.
But that assumption didn’t age well.
Within a decade, computer literacy wasn’t a nice-to-have — it was the price of admission.
Those who resisted didn’t just fall behind; they quietly became less promotable.
We are at that same inflection point with AI tools today.
The Quiet Shift Already Happening
A growing number of employers are now expecting candidates to:
Use AI to research
Draft and edit
Analyze information
Automate routine thinking
Increase output without increasing headcount
This isn’t about replacing people.
It’s about who can multiply their thinking.
In the same way Excel once separated high-impact professionals from average ones, AI fluency is becoming the new productivity baseline.
Why This Matters at Every Level — Especially Senior Roles
Many senior-level professionals still believe:
“This is for analysts, marketers, or junior staff — not for me.”
That’s exactly what executives said about spreadsheets, email, and databases.
Leadership roles are now being reshaped by:
Faster decision cycles
Larger volumes of information
Fewer layers of support
Pressure to produce clearer insight, not just direction
AI tools don’t replace leadership — they amplify it.
But leaders who refuse to learn them create a growing gap between:
What the organization needs
And what they personally can deliver
That gap eventually shows up in:
Fewer opportunities
Fewer strategic roles
More “restructuring” conversations
Not because they aren’t capable —
But because they stopped evolving.
This Is Not About Becoming Technical
You do not need to become a data scientist or engineer.
What you do need is:
Comfort asking AI good questions
Ability to use AI to draft, synthesize, and analyze
Familiarity with how AI supports everyday work
Just as you once learned:
Email
Word
PowerPoint
Excel
AI is simply the next layer of professional literacy.
Why Waiting Becomes Risky
Careers don’t usually collapse suddenly.
They erode quietly when:
Skills stop expanding
Relevance plateaus
Others begin producing more with less effort
By the time someone realizes they’re behind,
The market has already moved.
The Bottom Line
AI tools are not a passing trend.
They are becoming career infrastructure — just like computers, the internet, and digital workflows before them.
Those who learn early gain leverage.
Those who wait lose options.
And those who believe this “isn’t for them”
often discover too late that it was.