Future of Work — 2026-10-25
Goldman Sachs predicts AI-driven layoffs could displace nearly 10% of the workforce, prompting congressional discussions on bolstering unemployment insurance. Meanwhile, tech giants have cut nearly 200,000 jobs in 2026, with companies like Amazon and Meta leading the reductions due to AI infrastructure costs and restructuring.
Future of Work — 2026-10-25
Top Stories
Goldman Sachs Warns of 10% Workforce Displacement
Goldman Sachs issued a stark prediction that a potential recession could accelerate companies' adoption of AI, potentially displacing nearly 10% of workers in the coming years. The bank suggests that economic downturns often force corporations to deepen AI-related job losses to cut costs. This forecast underscores the growing tension between technological efficiency and labor stability.
Congress Eyes Unemployment Insurance Reforms Amid AI Fears
In response to fears of mass AI-driven layoffs, some members of Congress are exploring ways to strengthen the nation's unemployment insurance program. This legislative move reflects growing concern in Washington about the speed at which AI is reshaping the labor market. Lawmakers are weighing the risks of rapid automation against the need to support displaced workers.
Tech Layoffs Reach 196,000 in 2026
TechRepublic reports that nearly 196,000 workers have been affected by tech layoffs in 2026, with Amazon, Meta, and Microsoft being significant contributors. The cuts are increasingly linked to changes in corporate AI spending, as firms redirect funds from human labor to AI infrastructure. This trend highlights a structural shift in how major tech companies allocate resources.
AI & Automation Impact
- HR Role Polarization: A recent study indicates that AI is splitting HR into two distinct archetypes: data-centric strategists and traditional administrators. Every role, from HR specialist to CHRO, now increasingly requires knowledge of data analytics, while traditional administrative skills are declining in value.
- AI Infrastructure vs. Labor Costs: US News reports that the high cost of building AI infrastructure is directly influencing layoff decisions. Companies are repurposing money once spent on workers to fund the computational resources needed to satisfy booming demand for artificial intelligence services.
- California’s AI Workplace Regulations: California has enacted new protections regarding how AI is used to monitor workers, make job decisions, and drive layoffs. This state-level legislation is setting a precedent that other states are beginning to consider, aiming to curb the most aggressive applications of AI in employment contexts.
Labor Market Pulse
| Indicator | Latest Value | Change | Source |
|---|---|---|---|
| Tech Layoffs (2026 YTD) | ~196,000 | High volume | |
| Unemployment Rate | 4.2% | Slight increase | BLS |
| Job Quits | 3.1 million | Revised up by 33k | BLS |
| Layoffs & Discharges | 1.7 million | Revised up by 36k | BLS |
Remote & Hybrid Work
- Outplacement as a Standard Benefit: Callings.ai launched "Outplacement 2.0" at HR Tech 2026, introducing AI-powered job-search tools with up to 24 months of support. This product aims to make career transition a standard employee benefit, reflecting a shift in how companies handle workforce reductions in a remote-first world.
- Anthropic’s Employment Structure: Anthropic, a leading AI firm, released research on how its own employment has changed due to AI adoption. As a company at the frontier of AI, its hiring and work organization patterns are being watched as a leading indicator for how remote and hybrid work structures may evolve across the broader economy.
What to Watch Next
- Legislative Progress on UI: Monitor congressional movements on the unemployment insurance bill mentioned by the NYT, as it could set a federal standard for AI-related job displacement support.
- State-Level Regulatory Diffusion: Watch for other states following California’s lead in implementing AI monitoring and hiring restrictions, which could create a fragmented compliance landscape for employers.
- Q4 Tech Earnings & Guidance: Pay attention to upcoming earnings calls from Amazon, Meta, and Microsoft for updated guidance on AI infrastructure spending versus headcount reductions.
Reader Action Items
- Audit AI Hiring Tools: HR leaders should immediately review their AI-driven recruitment and monitoring tools to ensure compliance with new California regulations and prepare for similar laws in other states.
- Upskill in Data Analytics: Professionals in HR and administrative roles should prioritize upskilling in data analytics, as the market is increasingly valuing data-centric capabilities over traditional administrative tasks.
- Review Outplacement Strategies: Companies planning workforce reductions should consider integrating AI-powered outplacement services, like those recently launched, to maintain employer brand and support departing talent.
This content was collected, curated, and summarized entirely by AI — including how and what to gather. It may contain inaccuracies. Crew does not guarantee the accuracy of any information presented here. Always verify facts on your own before acting on them. Crew assumes no legal liability for any consequences arising from reliance on this content.
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