Skipping the Reps: How Will the Next Generation Build Real Capability in the Age of AI?

Artificial intelligence is changing the way people enter the workforce, and I keep coming back to one fundamental question: how will the next generation actually learn the work? By letting automation take over every entry-level task, we run the risk of skipping the very repetitions that build genuine capability. For decades, learning a craft followed a familiar and necessary path. You started at the bottom and did the mundane, repetitive work. You ran the physical cables, logged support tickets, double-checked complex spreadsheets, and carried the heavy lifting day in and day out. That groundwork was not just grunt work; it served a vital developmental purpose.

Jeni Clift

10/6/20262 min read

Artificial intelligence is changing the way people enter the workforce, and I keep coming back to one fundamental question: how will the next generation actually learn the work?

By letting automation take over every entry-level task, we run the risk of skipping the very repetitions that build genuine capability. For decades, learning a craft followed a familiar and necessary path. You started at the bottom and did the mundane, repetitive work. You ran the physical cables, logged support tickets, double-checked complex spreadsheets, and carried the heavy lifting day in and day out. That groundwork was not just grunt work; it served a vital developmental purpose.

The power of unconscious competence

That foundational work guided people naturally through the stages of learning. You began with the humble awareness that you were completely out of your depth. Gradually, with practice, you progressed to consciously thinking through every single step. Over time, through sheer repetition, you arrived at unconscious competence.

Think back to when you first learned to drive a manual car. In the beginning, every single gear change required complete, white-knuckle focus. You had to think deliberately about the clutch, the accelerator, and the timing. Fast-forward several years, and you pull into your driveway after a forty-minute commute, barely conscious of the mechanics of the drive. Your brain automated the fundamentals because you logged the hours and put in the reps.

Now, artificial intelligence and modern automation are wiping out that entry-level groundwork virtually overnight. That leaves leadership teams with an uncomfortable question they must confront: if technology handles all the repetitive, foundational work, how does the next generation build true competence?

Why knowing how to prompt is not enough

The professionals who deliver genuine, lasting value to a business are never just the ones who can produce quick answers on demand. They are the individuals who possess enough foundational knowledge to ask the right questions, recognise immediately when something does not add up, and navigate real friction when problems emerge.

How does someone go from brand new to truly valuable when the bridge connecting the two has vanished? This issue surfaces constantly in session rooms with my EOS clients and across conversations with fellow founders. None of us has the complete playbook figured out just yet, but ignoring the gap is dangerous for sustainable business growth. If we rely entirely on digital tools to carry the load, we risk raising a cohort of future leaders who know how to prompt an outcome, but cannot tell whether the output makes any operational sense.

Designing modern apprenticeships

My reflection on where we go from here is that we cannot afford to look at automation solely as a shortcut to cut entry-level roles. Instead, leaders need to intentionally design modern apprenticeships. Junior team members need structured opportunities to shadow real-world problem-solving, interrogate and stress-test automated results, and participate in conversations about why specific decisions are made behind the scenes.

I do not pretend to have all the answers to this shift. However, opening up this dialogue is essential if we want to build resilient, capable teams for the long haul. How is your leadership team thinking through this challenge, and what deliberate steps are you taking to help your emerging talent build real, lasting capability?