Companies spend heavily on forecast-driven reskilling, but a three-year study of 10 European manufacturers found that the most valuable tech skills rarely matched those predictions and instead emerged organically as workers and managers adapted new tools to real work. Managers who routinely observed
"Abstinence is not an AI strategy" argues that both academia’s bans and corporate America’s rush to adopt AI miss the real question—what are humans supposed to be doing while AI is in the room? The authors propose a governed, sequenced practice called the Bot Check Method and cite MIT Media Lab neur
Deloitte will pay $21.5 million to settle allegations that elements of its diversity, equity and inclusion programs violated federal civil rights law. The settlement, prompted by claims the firm — a government contractor — rewarded or penalized employees based on race or sex, underscores that contra
SHRM has tentatively supported ending the EEOC’s EEO-1 demographic reporting, while a group of investors urged the reports be retained as “vital” for monitoring workplace equity. Both public comments challenge the EEOC’s claim that the data collection program is overly burdensome.
Congress has requested McKinsey & Co. data as part of a probe into corporate diversity, equity and inclusion (DEI) practices. Republican Rep. Brandon Gill of Texas criticized McKinsey’s widely cited reports as a “heavy‑handed” promotion of DEI.
Hogan identifies the “Mischievous” derailer—leaders who are charming, impulsive, and drawn to risk-taking—as a style that can fuel quick decisions, entrepreneurship, and strong rapport but, when unchecked, lead to recklessness, broken commitments, and team mistrust. The Hogan Development Survey meas
Finance leaders are increasingly seeing AI as a driver of growth rather than a threat to jobs. In an informal CFO Dive poll, 54% of respondents said AI’s biggest workforce impact will be higher employee productivity.
AI is advancing faster than people and organizations can determine how to use it effectively, creating a growing gap between capability and assessment. Talogy warns that current frameworks aren’t equipped to predict or measure performance in the AI era, signaling a need for updated evaluation approa