Grade One

How to read a job market without being lied to

Part I of Computing Careers 2026, free and complete. Not an extract — the whole method, the part that works on any career and does not age.

If you take this and never come back, you have got the most useful part.

  1. Why 'career' is not a salary number

    Priya and Marcus both earn $95,000 a year. They are the same age and have the same years of experience. Their lives are not alike at all.

  2. The anatomy of a bad statistic

    Most articles about computing careers are either too negative or too positive. This chapter shows you how to tell the difference yourself.

  3. The source hierarchy

    Chapter 4 showed you four bad numbers. This chapter gives you a system, so you do not have to judge each one from scratch.

  4. Reading AI-impact claims specifically

    No topic in this book attracts more noise than this one. So it gets its own chapter.

  5. How to check a school, a bootcamp or a certificate

    Chapter 5 gave you five grades of evidence. This chapter spends them on one purchase.

  6. Your personal instrument panel

    This book will age. Every book of numbers does.

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The rest of the book is the reference half: computing careers scored on pay, competition, entry route, cost to get in, cost to stay in, exposure to AI, geography, remote viability, other disruption, and what employers actually screen for.

What the whole book contains, and what it costs.