Science and technology often work hand in hand to drive innovations in the practice of industrial–organizational (I-O) psychology. Historically, psychological science applied to workforce management allowed us to weather the storm of human resource trends and technological advances that attracted organizations to new tools and methods. But what happens when the lure of technology trumps the science? The rise of technological advances challenges our thinking and leads to psychological research and theory designed to keep pace with these advances. But in some instances, the adoption of new technology has outpaced scientific best practices. Organizations will adopt new technology in the absence of best practices if there are perceived benefits. Has the array of new talent identification tools described by Chamorro-Premuzic, Winsborough, Sherman, and Hogan (2016) presented a tipping point for I-O in terms of how we approach our science, research, tools, and methods?