AI is unlikely to replace fields like radiology because of Jevons Paradox. By making scans cheaper and faster, AI increases the overall demand for scans, which in turn can increase the total number of jobs for human radiologists to manage the higher volume and complex cases.

The common fear of AI eliminating jobs is misguided. In practice, AI automates specific, often administrative, tasks within a role. This allows human workers to offload minutiae and focus on uniquely human skills like relationship building and strategic thinking, ultimately increasing their leverage and value.

Countering job loss fears, Jensen Huang cites that AI in radiology increased the demand for radiologists. AI automated the *task* (reading scans) but amplified the *purpose* (diagnosing disease). This efficiency allows for more scans and more patients to be treated, ultimately growing the need for the professionals who leverage the technology.

AI makes tasks cheaper and faster. This increased efficiency doesn't reduce the need for workers; instead, it increases the demand for their work, as companies can now afford to do more of it. This creates a positive feedback loop that may lead to more hiring, not less.

Jensen Huang uses radiology as an example: AI automated the *task* of reading scans, but this freed up radiologists to focus on their *purpose*: diagnosing disease. This increased productivity and demand, ultimately leading to more jobs, not fewer.

The introduction of ATMs unexpectedly doubled the number of bank tellers by enabling banks to open more branches. This historical precedent suggests AI will transform roles in unforeseen ways, shifting tasks from basic functions to relationship-oriented work rather than simply eliminating jobs.

Contrary to sensationalist interpretations, a high 'AI exposure' score for a job does not automatically mean displacement. Economists suggest it can mean the opposite, as AI acts as a complement. Highly exposed roles could see increased hiring, higher wages, and greater demand for complementary human skills, depending on demand elasticity.

Contrary to fears, AI is acting as a supplement, not a replacement, for skilled professionals. For example, job listings for radiologists and coders have increased. AI handles mundane tasks, allowing experts to focus on higher-value work like diagnosis and creative problem-solving, thus boosting productivity and demand.

AI's economic impact is far more benign if it automates a small fraction of tasks across many professions rather than entire jobs. If AI handles 10% of everyone's workload, it results in a direct 10% productivity increase for the whole economy, making society wealthier with virtually no job displacement.