“AI may level the technical playing field, but it will amplify the differences in human performance,” Lolas says. “The organizations that recognize this early will stop treating development as a training problem, and start treating it as a system design challenge — where people are intentionally developed not just in skill, but in how they operate and perform together.”

Microsoft’s Hanselman says the skills that matter most today are not just AI prompt fluency or the ability to generate code quickly, but systems thinking and communication.

“So for the young person who’s coming into this, you can’t have blinders on,” he says. “Making large, interesting systems that help people and make their lives better — that is not being commoditized. You need big-picture thinking, taste, discernment, good judgment, good communication skills, and a rock-solid understanding of the basics. Just because I’m riding around in an Uber doesn’t mean that I don’t know how to change a tire.”

Tech leaders say organizations need to make early-career growth a core part of engineering work. That means giving junior staff real programming work, in-the-moment senior guidance and AI support that accelerates learning without replacing it.

“Ultimately, developing senior talent is no longer a byproduct of hiring, it’s the result of deliberate infrastructure,” Eversoll says. “Organizations that invest in skills-based progression systems will not only sustain their pipeline, but accelerate it.”