How companies are using AI to automate HR and workforce management tasks, a shift that could lead to narrower roles for some managers
hiring those with easily measured performance, or ability to face known, not unknown, challenges. https://www.wsj.com/... Christopher Mims / @mims : Companies are replacing managers with AI, writes @samschech. Big implications for workers and bosses alike. http://www.wsj.com/...
Context & Ripple Effects
This 2017 report by Sam Schechner, flagged by Christopher Mims, was an early statement of what has since become a running arc: companies automating HR and workforce management, replacing some managers with algorithms, and shifting hiring toward candidates with easily measured performance who can face known rather than unknown challenges. Two years later, execs at Davos were still racing toward automation regardless of the impact on workers, confirming the competitive logic behind the shift.
The intervening years tested the thesis. Generative AI raised the stakes by threatening junior developers' tasks alongside managerial ones, while a 2026 eight-month study found AI tools intensified work rather than shrinking it, and a survey of 1,000 hiring managers found only 9% say AI has fully replaced roles — with 59% invoking AI in layoffs 'because it plays better.' The manager-replacement story now reads less as accomplished fact than as aspiration plus cover story.
First-order effects
- Managers whose work consists of scheduling, monitoring, and routine evaluation see their roles narrowed to exceptions, since AI handles the measurable parts of workforce management directly.
- Hiring criteria tilt toward candidates with quantifiable track records, disadvantaging workers whose strengths show up only in ambiguous, unmeasured situations.
Second-order effects
- Employees respond to algorithmic measurement by optimizing for the metric, which pushes teams toward known-challenge work and away from exploratory tasks no dashboard captures.
- As the HBR study showed, removing managerial overhead does not remove the work — it redistributes scope onto remaining staff, who absorb coordination duties faster and longer.
Third-order effects
- If the pattern holds, the management layer thins structurally and career ladders lose their traditional rung, since the junior-to-manager path assumed supervising people that software increasingly supervises instead.
- But the gap between the 59% who cite AI rhetorically and the 9% reporting full replacement suggests AI is also becoming a legitimizing narrative for headcount decisions — a dynamic regulators and labor advocates are positioned to scrutinize as adoption spreads.
The trend: Workforce management is migrating from human supervision to algorithmic measurement, with competitive pressure driving adoption faster than actual replacement — making AI as much a justification for restructuring as a cause of it.