Gates warns AI could strain worker support as jobs change

Gates identified invention, white-collar work and physical human labor as areas AI could change, including with humanoid robots.[2] He also described financial logic that could lead companies to replace workers with AI, while pointing to benefits such as improved drug discovery.[2] His fiscal concern is that reduced employment could shrink the tax base governments use to support displaced workers, even as prosperity rises.[2] Gates proposed taxing AI use, possibly through a levy tied to the amount of content models process, and said billionaires should pay more tax.[2] He said he had paid $14 billion in taxes over his lifetime and would have been willing to pay $40 billion.[2] He cautioned that higher taxes alone would not resolve strained public finances.[2]

Peter Schiff said a stock market crash on Monday could improve Democrats’ chances of taking the Senate.[1] He said that probability reached 71% on Friday, a new high.[1] Former House Speaker Nancy Pelosi accused President Donald Trump of misleading voters about prices, saying tariffs and inflation were hurting working families.[1] Pelosi said Trump had promised to cut costs on “Day One,” but that “he lied.”[1] White House economic adviser Kevin Hassett called the affordability crisis “a myth” and said Americans were a trillion dollars better off than when Trump took office after adjusting for inflation.[1] These statements offer sharply different assessments of affordability and the economic outlook.

Kevin O’Leary advised young adults to use one credit card for small monthly purchases and to repay the balance consistently.[1] In a Saturday post on X, he said building credit did not require spending thousands of dollars.[1] The roundup was partially produced with AI tools and reviewed and published by Benzinga’s editors.[1] For readers evaluating the advice, the distinction is between using a card for modest purchases and carrying a balance: O’Leary’s recommendation, as reported, is to repay consistently.[1]