AI news · Friday, July 3, 2026

Goldman Sachs predicts AI will trigger 15 million job displacements soon

The labor market is bracing for a significant shift as AI adoption accelerates. Goldman Sachs economist Joseph Briggs predicts that roughly 9% of the US workforce—about 15 million people—will be displaced by AI, requiring them to transition into new roles. While the tech sector has seen widespread layoffs, some of which companies have attributed to AI-driven efficiency, current data suggests that the technology is actually expanding the market rather than shrinking it overall.

Even as companies like Tesla, which recently capped employee AI spending at $200 per week to curb high token usage, lean into automation, demand for technical talent remains high. Recruiters at top AI coding startups have largely abandoned traditional resumes, favoring week-long bootcamps and multi-day work trials to test how candidates build with AI tools. These companies are effectively raising the barrier to entry, as the routine coding tasks that previously helped junior employees learn the ropes are being increasingly automated.

This shift means employers are now prioritizing skills like systems design, judgment, and complex debugging over basic syntax. The broader economic environment remains tense as the US experiences a K-shaped recovery where the wealthiest 1. 5% of the population controls nearly half of global wealth.

This disparity has fueled a growing public backlash against the ultra-wealthy, even as luxury retailers like Chanel expand footprints in tech hubs to cater to a new generation of AI-minted millionaires. Some investors are betting the current AI-led boom is reaching its limit, with high-profile short-sellers like Michael Burry taking bets against major chipmakers and infrastructure players. Meanwhile, the race to integrate AI directly into consumer devices continues, as seen with Tesla launching a six-seater Model Y L with built-in Grok integration, and browser startups like Perplexity and The Browser Company rushing to turn the web browser into an autonomous agent.

Yet, hardware constraints loom large, with a global memory chip shortage driving up prices for everything from tablets to high-end laptops, as manufacturers prioritize data center hardware over consumer goods. Even as Nvidia’s CEO Jensen Huang becomes a cultural icon—with one of his signature leather jackets hitting the auction block for an estimated $40,000 to $60,000—the physical limitations of the AI revolution remain a reality for developers. One founder reported losing access to a powerful AI model with no notice due to government restrictions, underscoring why reliance on proprietary, centralized models is a risky business strategy without a plan B.

The quick hits

Goldman Sachs predicts 15 million US workers will be displaced by AI as the technology automates routine roles — requiring a major shift in how the workforce adapts.
Major tech companies and startups are abandoning traditional resumes for multi-day 'work trials' — forcing candidates to prove their value by shipping real code in live environments.
Tesla has capped employee AI spending at $200 per week — forcing staff to rein in the massive token usage that previously characterized internal software development.
Global memory chip shortages are forcing consumer electronics prices upward — as manufacturers prioritize high-margin AI data center components over standard gadgets.

Goldman Sachs predicts AI will trigger 15 million job displacements soon

The quick hits

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