Meta Platforms has implemented a hiring freeze within its artificial intelligence (AI) division after an aggressive recruitment spree that added more than 50 researchers and engineers, including several high-profile executives poached from competitors such as OpenAI, Google, Apple, and Anthropic. Despite the freeze, Meta recently hired Frank Chu, a senior Apple AI executive who led teams focused on cloud infrastructure, model training, and search, marking at least the sixth Apple AI employee to join Meta in recent weeks. This move underscores Meta's continued strategic investment in AI, particularly in its Superintelligence Labs, even amid cost scrutiny and broader industry concerns. The hiring pause coincides with growing investor and industry warnings about a potential AI bubble. OpenAI CEO Sam Altman has publicly described the AI market as a bubble reminiscent of the dot-com era, cautioning that investors may face financial losses despite the technology's long-term importance. Supporting these concerns, a recent MIT study found that 95% of companies investing billions of dollars—estimated between $30 billion and $40 billion—into generative AI have seen no measurable return on investment, with only 5% achieving rapid revenue growth. The study attributes the widespread underperformance to flawed integration, poor workflow design, and employee training issues rather than the technology itself. This has led to increased investor skepticism and a reevaluation of AI stock valuations, with some analysts warning of a debt-fueled boom that could lead to a market correction. Meanwhile, some industry experts and analysts maintain that the AI boom is still in its early stages and that enterprise value remains strong despite the challenges. The debate over whether AI is in a bubble continues amid conflicting signals from market performance, investment patterns, and technological progress.