Paul Sweeney harnesses the power of Bloomberg Intelligence to analyze market news and provide in-depth company and industry research.
Bloomberg Intelligence: EBay Spurns GameStop’s Bid as ‘Neither Credible Nor Attractive’(Podcast)
Bloomberg Intelligence
EBay Spurns GameStop’s Bid as ‘Neither Credible Nor Attractive’
Watch Paul and Scarlet LIVE every day on YouTube: http://bit.ly/3vTiACF. Bloomberg Intelligence hosted by Paul Sweeney and Scarlet Fu -Cecilia D'Anastasio, Bloomberg Video Game Reporter, discusses EBay rejecting a $56 billion takeover offer from GameStop Corp. Chief Executive Officer Ryan Cohen, describing the unsolicited bid as “neither credible nor attractive.” EBay’s board turned down the offer due to “uncertainty” around the financing plan, operational risks, and GameStop’s governance, among other factors. -Lily Meier, Bloomberg Retail Reporter, discusses Under Armour. Shares sank after its guidance for this year missed Wall Street projections, weighed down by exiting a partnership with NBA star Stephen Curry and a financial hit from the conflict in the Middle East. Annual revenue will decline slightly, but it would have been little changed if the company still had the deal with Curry, the sporting-goods maker said Tuesday. Analysts on average projected a gain of about 2%. -Sid Philip, Bloomberg Chief Correspondent for Global Aviation, discusses the Bloomberg Big Take story: “Boeing Bets Comeback on Trump, China and an Elusive New Plane.” Boeing’s new CEO, Kelly Ortberg, must soon decide how to replace the workhorse 737 aircraft, as the company tries to regain public trust after a series of sometimes deadly accidents. He's also trying to land a big sales deal in China, with Trump's help. Both the sale and the new plane will be key to reviving the aerospace giant. -- Gautam Mukunda, Lecturer at Yale School of Management and Bloomberg Opinion contributor, discusses his Bloomberg Opinion column: “AI Isn’t Built for Bar Weather’s Black Swan Era.” AI models are matching or outperforming physics-based models in medium-range weather forecasting and are faster and require less computational infrastructure. These models struggle with extrapolating outside their training data, which can lead to failures when they encounter unusual weather patterns.
May 12, 2026