Big Tech earnings, S&P and Moody’s, AI

Big Tech earnings confirm that while AI investment remains aggressive, stock valuations increasingly reflect high growth expectations. AI tools are raising the baseline of productivity across industries, yet they simultaneously threaten to erode critical thinking and viewpoint diversity as users rely on automated synthesis. Hyperscalers are currently leveraging their compute dominance to secure equity in AI labs, though these labs may eventually seek independence by owning their own infrastructure and chip designs. Meanwhile, companies like Moody’s and S&P maintain defensibility through proprietary, standards-based data and regulatory-driven moats, which are less susceptible to AI disruption than commoditized software or public data. Ultimately, the rapid integration of AI into knowledge work forces a shift in labor dynamics, pressuring junior roles while demanding that professionals evolve to maintain value in an increasingly automated environment.