Remote workers face higher layoff risk than in-office peers — proximity bias, not AI, is the culprit
Remote workers are 35% more likely to be laid off than in-office colleagues (2023 data, Live Data Technologies), driven by proximity bias rather than automation. Data confirms AI was cited for only about 55,000 of roughly 1.2 million total layoffs in 2024 — showing employers use remote status as a cheap excuse, while workers lack collective bargaining power over layoff criteria. The WARN Act does not require location-specific layoff data, and the NLRB's joint-employer rule under 29 CFR Part 103 is a key target of Project 2025.
The story you've been told — that artificial intelligence is eliminating white-collar jobs by the millions — is a convenient fiction. In reality, the greatest workplace risk for remote workers isn't a robot; it's a boss who doesn't see them at their desk. According to Live Data Technologies data reported by The Wall Street Journal in January 2024, fully remote workers in 2023 were hit with a 35% higher layoff risk than their in-office counterparts. This isn't a productivity gap — it's proximity bias: managers choose familiar faces first when cutting costs.
How much of the layoff wave is actually AI? Consulting firm Challenger, Gray & Christmas found that about 55,000 U.S. layoffs in 2024 were officially attributed to artificial intelligence — but that figure represents just 4.5% of the roughly 1.2 million total announced job cuts that year, as reported by CNBC and analyzed in a Medium piece by Daniel Chang. Put plainly, AI is a scapegoat, not the primary driver. The real layoff engine is employer discretion unconstrained by worker power. No WARN Act (29 USC § 2101-2109) provision requires employers to disclose layoff criteria by work location, and without a union or works council to bargain over layoff criteria under the National Labor Relations Act (29 USC § 157), the penalty for working from home remains invisible and unchecked.
Project 2025 takes direct aim at the very institutions that could close this gap. By stripping NLRB enforcement through proposed rulemaking under 29 CFR Part 103 on joint-employer status, rolling back the joint-employer doctrine (industry standard set in Browning-Ferris, 362 NLRB No. 186), and pressuring the DOL to narrow worker classification rules under the Fair Labor Standards Act (29 CFR Part 780), it eliminates the most powerful tools workers have: collective bargaining over layoff terms, correct classification for remote gig workers, and union rights for subcontracting. The result would be a workforce even more vulnerable to arbitrary, bias-driven cuts — all while the media blames algorithms. The cure isn't returning to the office; it's reinforcing sectoral bargaining under the PRO Act, NLRB enforcement teeth, and WARN Act transparency rules that force employers to explain whom they cut and why.
The humanitarian alternative
Congress should amend the WARN Act to cover all layoffs of 50 or more workers regardless of whether a facility closes, and require employers to disclose the actual reason for each layoff — including whether remoteness was a factor. The NLRB should issue a rule requiring employers to bargain with unions over any changes to remote-work policies that affect layoff decisions. State-level data-collection laws, like California's Pay Transparency Act, could be extended to require reporting of layoff rates by work location. These steps would expose 'AI washing' and protect workers from being penalized for a work arrangement that was previously mandated by public health guidelines.
Falsifiable predictions
What this entry claims will happen, and what data would prove it wrong. The Reckoner revisits these against current reality.
- Within 12 months, at least one state legislature will introduce a bill requiring employers to report layoff data by remote/in-office status.
- The NLRB will issue a formal guidance letter within 6 months addressing whether remote-work status can be a legitimate nondiscriminatory factor in layoffs.
Grounded in
- Remote workers more likely to get laid off than replaced by AI: data
- AI and Job Replacement: A New Study Finds Surprising Correlations
- Why Remote Workers May Face Higher Layoff Risk Than AI in 2026
- Home alone: Remote work, isolation, and mental health - Science
- Remote work is popular, but takes a toll on mental health, a study finds
- Remote work and loneliness: Evidence from a nationally ...
- Loneliness and Isolation in the Era of Telework - PMC
Original source — excerpted
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