The Turing Trap is the risk that designing artificial intelligence to imitate human performance substitutes for workers instead of augmenting them. It contrasts replacement with human-machine collaboration, where both contribute to creating value neither could achieve alone. section 6.10
The danger is economic as well as technical. Replacement-oriented systems may reduce wages, eliminate entry-level jobs, weaken workers’ bargaining power, and concentrate wealth among firms controlling capital, intellectual property, compute, data, and specialized talent. Augmentation can instead raise less-experienced workers’ performance, though unequal access to AI may still widen gaps. section 6.10
Entry-level work
Generative AI can help inexperienced workers perform at higher levels while also shrinking the entry-level roles through which people enter professions, making the same technology both empowering and displacing. section 6.10
