Live Markets-Hyperscalers are chasing AGI, but investors want proof
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Investors want proof of AGI
DataTrek Research co-founder Jessica Rabe argues that AI hyperscalers are investing heavily because they are racing to achieve artificial general intelligence (AGI), even as there is no consensus definition of the technology.
In a note published on Friday, Rabe said definitions of AGI range from systems that can perform virtually any intellectual task to AI that can outperform humans at most economically valuable work. Other definitions emphasize broad problem-solving abilities, expert-level performance across disciplines, or even consciousness and self-awareness.
For investors, Rabe said the most important test is whether AI can match or replace human labor. While debates about machine intelligence are significant, the market implications will depend on AGI's ability to drive productivity gains, boost corporate profits and reshape labor markets. She said AGI discussions often overlook physical-world applications such as robotics and autonomous vehicles, which could prove critical to large-scale workforce automation.
Rabe notes that a number of prominent technology leaders, including OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Microsoft AI chief Mustafa Suleyman, Alphabet's Demis Hassabis and Elon Musk, have suggested AGI-like capabilities could emerge within the next several years. Venture capitalist Marc Andreessen has gone further, saying, "AGI is already here. It's just not evenly distributed yet."
Still, Rabe argues that investors should focus on tangible economic outcomes rather than corporate claims or benchmark scores. Despite rapid improvements in AI models, there is little evidence of widespread labor displacement in U.S. economic data. Echoing economist Robert Solow's observation that the computer age was visible everywhere except in productivity statistics, she says AGI's arrival will ultimately be measured by changes in employment, productivity and corporate earnings beyond the technology sector.
