Lemonade CEO Warns AI Could Replace Jobs Massively, Proposes Wealth Fund Solution
Daniel Schreiber, CEO of insurance company Lemonade, says that while current tech layoffs in Israel are not yet primarily due to AI replacing human jobs, he expects massive unemployment caused by AI in the near future. Over the past 18 months, Lemonade’s revenues grew 1.7 times while employee numbers remained steady at about 1,200, thanks largely to AI automation handling customer service, claims, sales, and coding. Schreiber notes that about 98% of their code is now AI-generated, boosting efficiency without increasing staff. However, he emphasizes that AI currently assists humans rather than fully replacing them, and he believes eventually all roles, including his own as CEO, could be automated.
Schreiber warns that the current wave of layoffs in Israeli high-tech, including 8,500 job cuts this year at companies like Amdocs and Wix, is only a preliminary sign of AI’s impact. He expects a more significant unemployment wave within a few years as AI capabilities mature and political resistance fades. Despite some macroeconomic data showing stable or rising tech wages, he cautions against complacency and calls for preparation for potential mass job displacement.
Addressing concerns about AI errors in professional fields, Schreiber argues that AI’s lower error rates justify its increasing leadership in tasks, citing safer autonomous driving as an example. He also highlights risks of intellectual property concentration as AI models absorb corporate knowledge, noting Lemonade’s strategy to maintain organizational knowledge by layering data and legal context over interchangeable AI models.
To mitigate growing inequality from AI-driven wealth concentration, Schreiber proposes legislation for the Israeli government to pool AI-generated capital into a sovereign wealth fund, similar to Israel’s natural gas fund, to support displaced workers financially. He rejects the idea of becoming Israel’s AI minister but hopes to advise future policymakers. Schreiber’s views reflect a cautious but proactive approach to AI’s economic and social challenges.
