Interessant3 #154 | AI & Jobs, Peak Cinema, NASA Landsat Names
By Duarte Martins••331 words
Lukas B. Freund & Lukas F. Mann - Job Transformation, Specialization, and the Labor Market Effects of AI
The authors of this paper argue that AI’s biggest labour impact isn’t job destruction but job transformation - changing which tasks matter inside occupations.
Workers who excelled at now-automated tasks (like data entry or record processing) lose out, forced to move and typically take pay cuts.
But automation also creates winners : incumbents freed to spend more time on people-facing or coordination tasks see wage gains; meanwhile, “outsiders” who once lacked the right skills can now enter jobs where machines handle the hard parts.
Large Language Models (LLMs) trigger bigger shifts than past technologies such as industrial robots because they hit a wider spread of skills - making averages misleading and outcomes highly uneven.
The key message: “exposure” to AI doesn’t mean inevitable decline. It means turbulence - some sink, some rise - depending on how their specialisation lines up with what machines take over.
Economist Scott Sumner claims the true golden age of cinema was 1958–63: the convergence of Hollywood perfection (Hitchcock, Wilder) and European avant-garde (Godard, Truffaut, Antonioni).
American, French, Japanese, and Italian auteurs all hit creative highs, yielding films like Vertigo, 8½, and Jules and Jim.
He frames this through David Galenson’s idea of experimental vs conceptual innovators - late bloomers vs sudden disruptors - both peaking around 1960.
A personal aside explores how eras we lived through feel “normal,” while others recede into the unreal “history” category, highlighting generational perception gaps.