Hello — it’s Lisa.
Happy New Year.
Before we get serious for a second, a few quick January facts:
- By January 12th, most New Year’s resolutions are already abandoned.
- Gyms are packed… and quietly empty again by February.
- And CEOs everywhere are back to saying the same sentence they said last year:
“We can’t find people with the right skills.”
I get why it feels true.
But here’s the part that might be uncomfortable — and also relieving:
Those skills aren’t missing from the market.
They’re getting blocked inside companies by outdated leadership systems.
Right now, the “talent gap” is being treated like a hiring problem.
It’s not.
It’s a leadership problem wearing a recruiting costume.
Yes, the labor market is tight.
Yes, AI skills are changing faster than job descriptions can keep up.
But the real issue showing up in 2025/2026 isn’t just technical.
It’s the missing blend.
People who can use AI and think critically.
Who can move fast and communicate clearly.
Who can operate under pressure without freezing or waiting for permission?
That combination feels rare — not because it doesn’t exist,
but because most organizations haven’t built environments where it can actually develop.
Here’s the part most leaders don’t love hearing:
You can’t hire your way out of this.
A team that knows the tools but can’t question outputs, make judgment calls, or read human context will move fast… in the wrong direction.
On the other side, leaders with strong people skills but no AI fluency are becoming accidental bottlenecks in businesses that need speed and precision.
The future belongs to people who can do both —
and to CEOs who know how to design for that blend, not just hope for it.
Most leaders say they want critical thinkers.
But their systems reward compliance.
They say they want initiative.
But mistakes get punished.
They say they want innovation.
But high performers are so overloaded that curiosity quietly dies somewhere between meetings.
That’s not a motivation problem.
That’s a systems problem.
AI just makes it more obvious.
When decisions move faster, judgment matters more.
When automation increases, empathy becomes a real competitive advantage.
When teams rely on models and dashboards, leadership stops being about having the answer — and starts being about asking better questions.
This is where a lot of organizations stall.
They roll out AI tools without changing how decisions are made.
They invest in training without upgrading leadership behavior.
They expect people to “upskill” while giving them no time, safety, or incentive to do so.
The result?
Shallow adoption.
Frustrated teams.
And CEOs who feel like they’re dragging the business uphill — again.
Closing the talent gap doesn’t start with hiring.
It starts with architecture.
Stop looking for unicorns.
Start building dual-capability teams.
That means:
- Teaching technical skills in context, not isolation
- Developing leaders who translate strategy into meaning, not just metrics
- Creating space for judgment, reflection, and learning — not just execution
It also means redefining what “top talent” actually looks like.
In the AI era, the most valuable people aren’t the ones who know the most tools.
They’re the ones who can combine machine intelligence with human insight —
and help others do the same.
That’s not an HR problem.
That’s a CEO decision.
If you don’t design for it intentionally, the market will keep feeling short on talent — no matter how many resumes cross your desk.
The real question isn’t:
“Why can’t we find the right people?”
It’s:
“What kind of leaders — and systems — are we building inside our walls?”
Because the companies that win the next decade won’t just hire better.
They’ll grow smarter humans alongside smarter machines.
Warmly,
Lisa
P.S. January has a way of making the cracks easier to see. If this has been quietly sitting in the back of your mind since Q4, you’re not alone.