Beyond the Degree: Why We Need a Better Proxy for Competence

Earning a degree is a massive achievement. But when companies use it as the only filter for talent, they miss out on the battle-tested problem solvers they actually need.

A side-by-side of a university library and a busy server room

I do not have a degree. Yet, I have spent my career navigating from manual QA to software engineering, cloud architecture, and consulting.

Whenever I look at the modern tech landscape, the prevalence of “Degree Required” in job ads stands out. To be clear: completing a degree is a testament to hard work, focus, and dedication. I have immense respect for those who have done it.

But there is a difference between respecting an achievement and using it as the only valid proof of intelligence. When modern companies over-rely on formal credentials, they create a blind spot that filters out highly capable, non-traditional learners.

The Mental Model: Signaling vs. Human Capital

To understand why companies do this, it helps to look at Bryan Caplan’s 2018 book, The Case Against Education.

Caplan explores two ways to look at what education actually provides to the workforce:

[Image of a diagram comparing the Signaling Model of education versus the Human Capital Model]

  1. The Human Capital Model: You go to university, learn highly specific, valuable skills, and bring those exact skills to an employer.
  2. The Signaling Model: You go to university to prove to an employer that you possess underlying traits: you are intelligent, you can hit deadlines, and you can conform to a system.

Employers rely heavily on the signal. It is a convenient heuristic to filter hundreds of applications. But convenience comes with a cost. By relying purely on the academic signal, organisations overlook candidates who have built massive reserves of “human capital” through unconventional, practical experience.

The cost of the single filter

The modern workplace, especially an AI-assisted one, requires immense adaptability. Academic environments are fantastic for teaching theory, but they often struggle to simulate the messy, undocumented, and chaotic reality of enterprise systems.

When you prioritise academic credentials over practical experience, you risk a mismatch. You might hire someone who is brilliant at passing standardised tests, but struggle to find someone who knows how to debug a failing production environment at 2 AM.

We don’t need to lower the bar; we need to widen the lens.

The practical upshot

How can organisations actually fix this and start valuing diverse forms of learning?

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