Job search and hiring becomes a science?

Hiring new employees has long been an unscientific process, similar to how scouts once relied on hunches to spot sports talent.

In Moneyball, baseball teams revolutionized the sport by using multivariate data analysis to choose players, professionalizing competitiveness. AI will similarly transform talent acquisition, bypassing unreliable, self-reported data from platforms like LinkedIn.

Professionals will be evaluated using independently sourced data, analyzing millions of reference points to assess not only skills and experience but also their potential fit within a company’s existing teams.

Like tennis players on the ATP tour, each professional’s performance will be ranked, assigning them a precise position among their peers.

This global talent ledger will function like a market, where those with exceptional, counterintuitive thinking will command exponentially higher salaries or investments than their competitors.

Future top performers will be predicted and compensated much like today’s star athletes in professional sports.