AI Researcher in 1982: Hand-crafted feature engineer
The work of AI Researcher is summarised as 1982’s “Hand-crafted feature engineer.” The figure beside that summary is 2012. A salary line in a job advert is not the job. A result that cannot be written up clearly enough to survive peer review, or explained to a non-specialist funder, struggles to have any impact regardless of how real it is.
What does an AI researcher actually do day to day? Most days split between reading recent papers, writing and debugging training code, waiting on and analyzing results from long-running experiments, and discussing findings with collaborators. Contrary to the popular image, a large share of the job is diagnosing why a model is underperforming or a result won't replicate, not brainstorming new architectures from scratch.
Do I need a PhD to become an AI researcher? For an independent research role at a university or a top industry lab, effectively yes — a PhD remains the field's real credential, since there is no licensing exam. Strong engineers without one increasingly enter through industry residency programs or a public record of open-source work and cited preprints, but titles like 'research scientist' still skew heavily toward doctorate holders.
Is AI research itself at risk from AI? Parts of it clearly are: literature summarizing, boilerplate experiment code and first-draft related-work sections are already routinely AI-assisted, and labs are openly experimenting with systems that propose and run their own experiments. Framing what a result actually means, and taking responsibility for a published claim, have proven much harder to hand over.
Say AI Researcher with 1982, “Hand-crafted feature engineer,” and 2012. Pay does not replace those three.1982
Figures to keep
- Year of the account
- 1982
- Figure from the work
- 2012
- Occupation
- AI Researcher
- The task line
- Hand-crafted feature engineer
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