90% of My Skills Are Now Worth $0
Kent Beck · article · 2023-04-19 source ↗ Reader 🖥️
A technological revolution has just made roughly 90% of Beck's professional skills economically worthless by making their output free, while multiplying the leverage of the remaining ~10% (knowing what to ask for, and judging the result) by a thousand, so the only sane response is to recalibrate which skills to invest in by rapidly trying many things rather than reasoning it out in advance.
practical · mixed — A first-person field report (one of Beck's earliest public reactions to ChatGPT, April 2023) that argues for a specific action — recalibrate which skills you invest in — grounded in a couple of personal anecdotes and a general theory of technological revolutions, then illustrated with an attached ChatGPT transcript as evidence.
Structure
| Part | Role |
|---|---|
| Opening tweet and framing (90%/10% split stated as a felt conclusion, not a derived one) | thesis statement |
| Word-smithing anecdote (Beck polishes a sentence; realizes ChatGPT could have done it as well, probably faster) | evidence / narrative |
| General theory of technological revolutions: radically cut the cost of something expensive, then discover what's valuable about the now-cheap thing | theoretical framing |
| Rap-about-Test-Desiderata anecdote | evidence / narrative |
| Growth-rate argument against 'but ChatGPT isn't very good yet' | counter-argument / rebuttal |
| 'What's next' — try everything, see what sticks | conclusion / call to action |
| Appended ChatGPT transcript (two ghost-written Beck-style essays, pro and con) | evidence / self-undermining demonstration |
Key terms
- the 10%
The residual skills whose value AI multiplies rather than erases: knowing what to ask for (judgment about what's worth doing) and knowing a good result when you see it. - leverage
The multiplier a tool applies to the value of a well-placed skill or decision; here, '1000x' rather than a literal measurement.
Propositions
- explicitRoughly 90% of a skilled practitioner's accumulated skills can have their marginal economic value driven to zero by a new tool, almost overnight.conf: high
- explicitThe remaining skills that survive devaluation — chiefly the judgment to know what to ask the tool for and to recognize a good output — have their leverage multiplied by roughly three orders of magnitude.conf: highsupportsWhat's an Orchestrator—and Why Does Software Need One? · p10 — Beck's 'the 10% that's leveraged 1000x is knowing what to ask for' (2023) anticipates the later orchestrator framing that the surviving core competence is knowing what questions to ask, not writing the implementation.
- explicitThere is no way to know in advance which specific skills fall into the devalued 90% versus the leveraged 10% — the split can only be discovered empirically, by trying many things.conf: highextendsCanon 3X: Explore/Expand/Extract · p6 — Beck's prescription here ('try a little bit of a lot of ideas' because the 90/10 split can't be known in advance) is a personal, skill-level instance of Explore's own tactic of rapid, cheaply-discardable experiments — applied years before the 3X framework was formally published.
- explicitTechnological revolutions proceed in two steps: first radically cut the cost of something that used to be expensive, then discover what becomes valuable because it is now cheap.conf: high
- explicitArguments of the form 'but the AI isn't very good yet' are not a sound basis for dismissal, because what matters for a revolution is relative growth rate, not the current absolute capability gap.conf: high
- implicitDecades of deliberate practice in a narrow skill (here, 'putting words in a row') can be matched or exceeded by a general-purpose tool almost immediately, independent of how much time was invested in acquiring that skill.conf: medium
- implicitA skill's resistance to AI devaluation correlates with how much of its value already came from taste/judgment versus from mechanical execution.conf: medium
Arguments
Beck should recalibrate which of his skills he continues to invest in. strength: medium
Explicit premises:
- 90% of his current skills have been devalued to zero by a new tool.
- The remaining 10% have had their leverage multiplied by 1000x.
Implicit premises:
- Skill investment should track where value (not habit or sunk cost) now lies.
- It is possible to identify, through experimentation, which skills are in which bucket.
Inferences:
- A rational actor facing this kind of cost/leverage shock should treat their accumulated skill portfolio as needing active re-allocation, not passive continuation.
Narratives
- Beck and colleagues punch up a sentence through several manual edits; he then realizes ChatGPT could likely have produced the same or a better result, faster, with the same ask.
→ Shows (rather than argues) that a specific, practiced skill — line-level prose editing — has been commoditized. - ChatGPT writes a (mediocre) rap about the Test Desiderata in the style of Biggie Smalls; Beck says he would never have dreamed of writing one himself, so the space of things he might try next just expanded.
→ Shows the leverage/expanded-possibility-space half of the thesis — low-quality output can still be valuable by opening a door that was previously closed, not by being excellent.
Questions addressed
- ⭕ Which of my professional skills remain valuable now that a general-purpose AI tool exists?
Beck explicitly says he does not have the answer and proposes only a method (try many things) rather than a result. - ✅ What should I do, concretely, given this devaluation?
Try out everything he can think to try, including training a model on his own art, and see what sticks.
Gaps
- incompleteBeck appends a ChatGPT-generated pair of essays (pro and con) as 'bonus' evidence of ChatGPT's current writing quality, explicitly judging them as weak ('ChatGPT's writing sucks. No punchy analogies... No humor.') — yet he never reconciles this live counter-example with the post's own thesis that AI has driven his writing/wordsmithing skill to zero value. If the attached transcript is genuinely inferior Beck-style prose, that is evidence the 10%/90% split for a skill like 'writing with voice' may be misdrawn, or that the devaluation claim needs qualification by sub-skill (mechanical sentence-level editing vs. voice/style at the paragraph level) that the post doesn't draw.
Read next: Compare against later, more mature Beck writing on taste and judgment as the surviving human skill (e.g. the corpus's Taste & Judgment concept) to see whether Beck later resolves this tension by explicitly separating mechanical fluency from stylistic judgment. - incompleteThe post gives no account of how to actually identify, prospectively, which bucket a given skill falls into before investing further effort in it — the only proposed method is retrospective trial. This mirrors a diagnostic gap Beck's own later Explore/Expand/Extract framework has about phase-identification being retrospective-only.
Read next: See extract-canon-3x-explore-expand-extract-beck#g1, which notes the same structural gap (every exit/diagnostic criterion in 3X is recognizable only after the fact) — this 2023 post is arguably an early, personal instance of exactly that problem, applied to skills rather than products.