A mesterséges intelligencia munkaerőpiaci hatásai a globális értékláncok elméletének tükrében
Absztrakt
A tanulmány azt vizsgálja, hogyan segíthetik a globális értékláncok (global value chains, GVC) elméletének analógiái a mesterséges intelligencia (artificial intelligence, AI) munkaerőpiaci hatásainak értelmezését. Három GVC-témakörre épít: a feladatalapú megközelítésre, a feljebb lépésre és a földrajzi feldarabolódás határaira. A cikk arra a következtetésre jut, hogy 1. a humán hozzájárulás relatív értéke és a munkajövedelmek GDP-hez mért aránya várhatóan tovább csökken, miközben az AI által előállított hozzáadott érték növekszik; 2. a feladatalapú és az állásmegszűnésre építő előrejelzések közötti különbség idővel mérséklődik. A szerző szerint a munkaerő számos abszolút előnnyel rendelkezik ugyan, ezek megőrzése azonban csak akkor lehetséges, ha a munkavállalók és a szervezetek tudatosan úgy használják az AI-t, hogy az a humán képességeket kiegészítse, ne pedig erodálja.
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