On the January 29, 2026 episode of Bloomberg Tech, hosts Caroline Hyde and Ed Ludlow discussed the mixed impact of AI-related capital expenditures (capex) on major tech stocks. The episode opened with a focus on the sharp decline in the Nasdaq 100, highlighting how increased AI spending by companies like Meta, Microsoft, and Tesla has led to divergent market reactions. While Meta’s significant capex was met with optimism due to strong ad business growth, Microsoft’s higher-than-expected capex raised concerns as Azure’s growth appeared to be slowing, causing its stock to suffer its worst drop since March 2020.
Analysts weighed in on Microsoft’s strategy, noting that the company is prioritizing long-term investments in AI, particularly through its Copilot product and internal R&D, even as short-term revenue growth lags. The discussion emphasized the trade-off between immediate financial results and the potential for future gains from enterprise AI adoption. Microsoft’s partnership with OpenAI and diversification efforts, such as bringing Anthropic onto Azure, were highlighted as ways to mitigate risk and position the company for future AI-driven growth.
Meta, on the other hand, was praised for demonstrating tangible returns on its AI investments, with strong ad revenue and productivity improvements. Analysts noted that Meta’s ability to accelerate growth and introduce new monetization levers, such as advanced AI models and commerce applications, reassured investors about the sustainability of its spending. The conversation also touched on the importance of Meta’s upcoming large language model, Avocado, and the company’s potential to expand beyond advertising into business AI and agentic commerce.
Tesla’s ambitious plans to build its own chip fabrication facility were discussed in the context of its $20 billion capex forecast for the year. ARK Invest’s Tasha Keeney explained that Tesla’s heavy investment is aimed at supporting its robotaxi and AI infrastructure ambitions, which could dominate the company’s value in the coming years. The discussion highlighted Tesla’s scale advantage, data collection capabilities, and the potential for cost reductions in autonomous ride-hailing, while also noting the challenges and uncertainties involved in building a domestic chip fab.
The episode also covered broader industry trends, including the struggles of other software companies like ServiceNow and SAP amid a challenging environment for enterprise software and AI integration. Apple’s upcoming earnings were previewed, with concerns raised about its lag in AI innovation despite strong financial performance. The show concluded with a segment on Amazon’s discovery of child sexual abuse material in its AI training data, raising questions about data sourcing and the responsibilities of tech companies in ensuring safe and ethical AI development. The episode underscored the complexity and high stakes of AI investment across the tech sector, with winners and losers emerging as companies navigate the balance between innovation, risk, and market expectations.
