AI Gains Are White House Losses – Intelligize

AI Gains Are White House Losses – Intelligize

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Policymakers often point to career retraining as a remedy for workers in industries affected by disruptive technological innovations. Particularly as automation impacted the demand for labor in manufacturing industries, retraining programs emerged to help workers learn new skills and transition to other occupations.

Based on the latest economic headlines, some white collar workers They may want to look into career retraining themselves. The third quarter of 2025 witnessed a major wave of layoffs which covered a wide range of sectors from technology to consumer goods. Normally, you would expect such a trend to develop in the wake of a massive economic shock, such as a pandemic or natural disaster. In this case there is the rise of artificial intelligence Apparently this is leading to widespread disruption of white-collar jobs.

As more data comes in, a compelling story emerges. With corporate profits rising above expectations, the S&P 500 was up 15% in 2025 until the end of October. At the same time, white-collar jobs are disappearing rapidlythe way companies like it Amazon, Goal, United Parcel ServiceExxon, Chevron and Meta have reduced their workforces in recent months. The reductions are primarily aimed at business, administrative and analytical functions – the functions best suited for an AI takeover.

Top management executives are not hiding from the reason for the shift in the white-collar job market: AI increases their profits. Amazon, for example, already has more than a thousand AI-based services, and CEO Andy Jassy promises more will follow. He did not want to disguise what that means for the company’s staff a message to employees this summer.

“As we roll out more generative AI and agents, this should change the way our work is done,” said Jassy. “Over the next few years, we expect this to reduce our overall workforce as we realize efficiencies by using AI at scale across the business.”

Trends at JPMorgan Chase illustrate the trade-off between what the company gets from AI and what it needs from employees. According to Marianne LakeJPMorgan’s CEO of Consumer and Community Banking, the financial services company’s workforce has grown 13% over the past five years; its business has grown by 25% over the same period. In his remarks at the company’s investor day in May, Lake attributed the increased productivity to AI improvements, which are expected to further reduce headcount at JPMorgan by 10% while growing the company’s business by an additional 25%.

Similar themes emerge in recent earnings calls. At Equity Residential, CEO Mark J. Parrell acknowledged that no one knows whether AI will prove to be a “net job creator or eliminator,” while adding that much of the optimism around AI’s transformative potential is being expressed by “people benefiting from the AI ​​boom.” His comments reflected a broader business story: enthusiasm for the long-term promise of AI, combined with caution about its near-term consequences. “I don’t believe in the ‘no one will have a job’ theory of AI employment,” Parrell said, adding that the market will adapt as new generations of workers arrive with stronger data and AI skills.

Essex Property Trust CEO Angela Kleiman struck a similar tone, describing layoffs as a “normal part of the business cycle” rather than purely AI-driven, while conceding that disruption is inevitable. And Microsoft CMO, Jared Spataro, joins in Goldman Sachs’ Communicopia & Technology Conferencecaptured this duality when he said the company “keeps its feet in two camps.” Microsoft continues to expand its traditional per-user business while developing an agent-based model to represent how AI is reshaping work.

For the newly unemployed and those who will soon join their ranks, the message is grim: They are entering a tight market for jobs, and it’s likely to get tighter still. According to an analysis by Stanford University’s Digital Economy Lab, entry-level hiring rates for so-called “AI-exposed” positions have fallen 13% in recent years. According to an estimate by Goldman Sachs, roughly 7% of American workers’ jobs are at risk from AI applications. Globally, the World Economic Forum predicts that AI, automation and robotics could displace 92 million jobs by 2030, while creating 170 million new jobs.

Overall, the difference in atmosphere between investors and a growing number of employees seems large. As companies replace the contributions of AI with the work previously done by white-collar workers, corporate profit margins and shareholder returns are about to get even fatter. For workers facing the prospect of AI-induced irrelevance, it may be time to consider a new field.

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