| AI to erase 50% of white-collar roles |
Source: ChatGPT 4o |
| The head of AI startup Anthropic has issued one of the tech industry’s starkest warnings yet: within five years, artificial intelligence may eliminate half of all entry-level corporate jobs, potentially pushing unemployment into double digits. |
| Dario Amodei, Anthropic’s CEO, told CNN that the rapid rise of advanced AI could trigger a “white-collar bloodbath” in office roles, as automated systems handle much of the work once done by junior staff. He even speculated U.S. unemployment could surge to 10-20% in that scenario. |
| Skepticism and reality checks: Amodei did not present data backing his 50% figure, prompting a CNN business analyst to label it “all part of the AI hype machine.” Tech entrepreneur Mark Cuban pushed back, writing: “Someone needs to remind the CEO that at one point there were more than 2 million secretaries… They were the original white collar displacements. New companies with new jobs will come from AI and increase total employment.“ |
| Entry-level workers in the crosshairs: If Amodei’s projections prove accurate, younger and less-experienced workers stand to lose the most. A senior LinkedIn executive recently observed that AI is “already starting to take jobs from new grads.” A New York Times report concluded that new graduates are entering industries that “have little use for their skills, view them as expensive and expendable and are rapidly phasing out their jobs in favor of artificial intelligence.“ |
| Companies aren’t waiting: Businesses are already integrating AI into workflows. IBM recently announced a pause on hiring for roles that AI could do, after calculating that roughly 30% of its back-office jobs (about 7,800 positions) could be replaced by automation over the next five years. A World Economic Forum survey found over 80% of employers expect to adopt big data, AI and other new technologies by 2027, even as they foresee a net loss of 14 million jobs worldwide in the same period. |
| The scale of disruption: A Goldman Sachs analysis estimated that generative AI could affect or automate the equivalent of 300 million full-time jobs globally. That report predicted white-collar occupations will be far more exposed than blue-collar ones: nearly half of tasks in administrative and legal jobs could be done by AI, versus only about 6% of work in construction. |
| Policy response: The White House and U.S. Congress have begun discussing AI’s workforce implications, weighing measures from re-training programs to potential regulation of AI in hiring and layoffs. Labor market experts note that unlike past automation waves that unfolded over decades, this one could arrive with unprecedented speed. |
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| Entry-level jobs have been the launchpad for upward mobility in the workforce. They’re where employees learn the ropes, prove themselves and begin climbing. If those roles dry up, the consequences extend far beyond individual career paths. |
| The culture crisis: Companies aren’t just hiring entry-level workers for their immediate productivity — they’re building future leaders. These roles serve as cultural onboarding, where new hires absorb company values, understand internal processes and form the rela |
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Source: ChatGPT 4o