Hyperliquid News Today: Goldman: AI's $19T Hype Outpaces Reality, Bubble Risks Loom

Goldman Sachs has concluded that the U.S. stock market has already priced in the vast majority of the economic benefits expected from artificial intelligence, with $19 trillion in market value surging ahead of the actual macroeconomic impact of the technology. The investment bank's analysis, published in a November 2025 report, warns that while AI-related valuations remain high, they now approach the upper limits of plausible economic gains, raising concerns about overvaluation risks.

The report estimates that the present discounted value of AI-driven capital revenue for the U.S. economy could range between $5 trillion and $19 trillion, with a baseline projection of $8 trillion. However, since the launch of ChatGPT in 2022, the market value of AI-linked companies has ballooned by over $19 trillion, a figure that includes gains in semiconductor firms, hyperscalers, and private AI model providers. Goldman analysts Dominic Wilson and Vickie Chang argue this suggests the market is pricing AI's potential well ahead of its real-world productivity, a trend they describe as "a feature, not a bug," but caution it could lead to future corrections.

The bank highlights two key risks: the "fallacy of aggregation," where investors may overestimate aggregate gains by extrapolating individual company success across the sector, and the "fallacy of extrapolation," where short-term profitability is incorrectly assumed to persist long-term. These risks echo historical patterns during past innovation booms, such as the 1920s and 1990s, where markets overpaid for future profits despite real technological advances.

Meanwhile, AI integration is expanding beyond traditional tech sectors. In November 2025, Hong Kong-based Solowin partnered with AI firm 4Paradigm to develop blockchain compliance tools, leveraging machine learning for real-time risk tracking and dynamic profiling. The collaboration aims to address compliance challenges in the crypto industry, where regulatory scrutiny intensifies as firms balance innovation with legal obligations.

Regulatory hurdles remain a significant challenge. The collapse of the COAI token in 2025 exposed vulnerabilities in decentralized finance (DeFi), particularly in emerging markets with fragmented oversight. The incident underscored the need for clearer definitions of AI tokens and stablecoins under U.S. law, as the CLARITY Act's ambiguous language and overlapping regulatory authority between the SEC and CFTC have left market participants in limbo.

Goldman's analysis also aligns with broader sectoral shifts. The global energy management systems market, for instance, is projected to grow to $219.3 billion by 2034, driven by AI-enabled efficiency solutions and smart grid integration. This expansion reflects a broader trend of AI being woven into infrastructure, where predictive analytics and automation are redefining energy consumption patterns.

For investors, the report underscores a delicate balance. While AI's potential to boost U.S. productivity by 15% over a decade remains intact, the gap between market optimism and tangible economic outcomes could widen. Goldman advises caution, noting that outside hardware, current AI profits are limited and depend on rapid realization of expectations. As the market races ahead, the question remains whether the fundamentals can keep pace.