Dean Baker joins Isaac Pound to question whether businesses need the newest and most expensive AI modelsA frontier AI model is among the most capable general-purpose models available at a given time.. He argues that older or open-weight alternativesAn open-weight AI model makes its learned parameter values available for others to download, inspect or run under a stated license. may already meet many practical needs, challenging the revenue growth assumed by large infrastructure commitments.
Dean Baker contrasts closed providers' recurring charges with the control and privacyData privacy governs how personal, confidential, or sensitive information is collected, used, shared, retained, and protected in AI systems. he associates with self-hosted modelsSelf-hosted AI runs on hardware controlled by the user or organization instead of relying entirely on a third-party hosted model service.. He also discusses price cuts, customer concentration and the possibility that businesses could leave providers that withdraw older models. These are his economic arguments, not a measured comparison of every deployment option.
Dean Baker compares AI investment enthusiasm with earlier asset bubbles and argues that professional investors can face incentives to follow the market even when risks are visible. He distinguishes doubts about long-term returns from an ability to predict a crash, explicitly acknowledging that such trends can persist far longer than expected.
Watch on YouTube
