In the age of AI, we are sending mixed signals.
Investors reward tech CEOs for reducing headcount. At the same time, education leaders are pushing workforce readiness harder than ever.
That raises an uncomfortable question: what exactly are we preparing students for?
If the future of work in tech is smaller teams, higher leverage, and more AI-enabled productivity, then workforce development cannot just mean training more students for traditional entry-level roles. That model is already breaking.
The better goal is not to funnel students into tech. It is to help them discover whether they actually belong there.
That is where our program, AI Leaders, comes in.
Instead of treating workforce readiness as narrow job preparation, AI Leaders will focus on unlocking passion, building digital fluency, and helping students understand what it really means to work in an AI-enabled world.
By the end of the program, students should be able to answer a few important questions:
- Do I enjoy this kind of work?
- Am I good at it?
- What problems do I want to solve?
- What do I want to build next?
And if the answer is “tech is not for me,” that is still a successful outcome.
In other words, workforce development should not just produce workers. It should produce self-aware people who can adapt, create, and make informed choices about their future.
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