A lot of junior work looks inefficient from a distance.

First drafts. Research memos. Document review. Meeting notes. Data cleanup. Basic analysis. These are obvious places to apply AI, and in many cases leaders should.

But junior work is not only production. It is also apprenticeship.

This is the part I would not want executives to miss. If AI removes too much early-career work, the organization may improve short-term efficiency while weakening its future leadership pipeline.

The question is not whether AI should help junior employees. It should. The question is whether AI replaces the learning loop or improves it.

A better design might look like this:

  • AI accelerates the first pass.
  • The junior employee critiques, improves, and explains the output.
  • The manager reviews the reasoning, not just the answer.
  • The organization measures both productivity and capability growth.

That preserves the developmental value of the work.

In a Wharton-style analysis, this is a trade-off problem. The business wants efficiency today and leadership capacity tomorrow. A good operating system protects both.