This week, Elon Musk—amidst his other duties of gutting United States federal government agencies as head of the “Department of Government Efficiency” (DOGE)—announced a hostile bid alongside a consortium of buyers to purchase control of OpenAI for $97.4 billion. OpenAI CEO Sam Altman vehemently replied that his company is not for sale. The artificial intelligence landscape is shifting rapidly. The week prior, American tech stocks plummeted in response to claims from Chinese company DeepSeek AI that its model had matched OpenAI’s performance at a fraction of the cost. Days before that, President Donald Trump announced that OpenAI, Oracle, and Softbank would partner on an infrastructure project to power AI in the U.S. with an initial $100 billion investment. Altman himself is trying to pull off a much-touted plan to convert the nonprofit OpenAI into a for-profit entity, a development at the heart of his spat with Musk, who co-founded the startup. Bethany and Luigi discuss the implications of this changing landscape by reflecting on a prior Capitalisn’t conversation with Luigi’s former colleague Sendhil Mullainathan (now at MIT), who forecasted over a year ago that there would be no barriers to entry in AI. Does DeepSeek’s success prove him right? How does the U.S. government’s swift move to ban DeepSeek from government devices reflect how we should weigh national interests at the risk of hindering innovation and competition? Musk has the ear of Trump and a history of animosity with Altman over the direction of OpenAI. Does Musk’s proposed hostile takeover signal that personal interests and relationships with American leadership will determine how AI develops in the U.S. from here on out? What does regulating AI in the collective interest look like, and can we escape a future where technology is consolidated in the hands of the wealthy few when billions of dollars in capital are required for its progress?