Big Tech promised AI would disrupt labor — just not like this
Big Tech promised AI would disrupt labor — just not like this
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The Financial Angle
Oracle is reportedly trimming its workforce, joining a trend of tech giants reducing staff while investing heavily in AI infrastructure. Microsoft eliminated 15,000 roles last year, while Amazon cut 16,000 jobs in January. Atlassian and Block also faced significant reductions, with the latter shedding 40% of its staff. Meta, aiming to develop a “superintelligent” AI, laid off 700 employees while increasing stock bonuses for senior executives. These moves suggest that AI-driven job cuts may not stem from automation itself, but from broader economic pressures.
Big Tech executives have long warned that AI would lead to job losses. However, the current wave of layoffs seems more linked to financial strains than the technology’s direct impact.
Oracle’s Strategic Dilemma
While the exact number of Oracle’s affected staff remains unclear, reports indicate thousands are at risk. Analysts suggest the company could cut up to 30,000 roles to stabilize its finances. Oracle’s shift toward AI hinges on constructing costly data centers for clients like OpenAI. Despite initial investor enthusiasm, which drove its stock up 50% in 2023 and 60% in 2024, recent financial performance has shifted. The company’s stock (ORCL) has dropped 54% since its September high, and banks are stepping back from funding its AI projects. A credit risk index recently hit an all-time peak, signaling investor unease.
Overhiring and Uncertain Hype
Many firms expanded during the pandemic, and now higher interest rates and inflation are forcing retrenchment. Executives have framed these cuts as AI’s inevitable outcome, but the real cause is a mix of overstaffing and financial miscalculations. Oracle, in particular, is betting heavily on OpenAI, a company yet to achieve profitability, amid a broader industry push to outpace rivals like Anthropic. The result? A “white collar bloodbath” forecasted by tech leaders appears to be driven by business decisions rather than AI’s transformative power.
So far, there’s little evidence of widespread AI-driven displacement. The primary disruption comes from leaders who have tied their companies’ futures to a technology that still hasn’t fully lived up to its promises.
