The Talent the Machine Missed

Every day, thousands of exceptional candidates are rejected before any human sees their application. The algorithm has already decided.
A self-taught engineer with a portfolio of working products gets an automated rejection in two minutes. A career-changer with transferable skills never makes it past the keyword screen. A high-potential candidate from a non-target school is filtered out by a system trained to worship pedigree. Meanwhile, executives complain they cannot find talent.
This is not a technology problem. This is a definition problem.
Companies have spent billions building AI recruiting systems that screen faster, rank smarter, and process millions of resumes at machine speed. But they trained those systems on the past, so the algorithms learned to repeat the same old mistakes: overvaluing credentials, chasing prestige, mistaking tenure for capability, and filtering out the very people who could drive the next decade of innovation.
The Talent the Machine Missed exposes the paradox at the heart of modern hiring and offers a better path. Blending cutting-edge research, real company transformations, and practical frameworks leaders can implement immediately, this book shows how to turn AI from a gatekeeper of the past into a discoverer of human potential.
The future belongs to organizations that learn to see the talent the machine missed. Will yours be one of them?