Key Takeaways
- • The San Francisco Federal Reserve and Federal Reserve System Innovation Office established the EmergingTech Economic Research Network (EERN) in 2024 to research how generative AI and emerging technologies are reshaping economic productivity and employment patterns.
- • AI venture capital investment has matured significantly over the past 18 months, transitioning from speculative froth toward disciplined capital allocation focused on sustainable business models, real customer adoption, and credible unit economics rather than theoretical potential.
- • By 2025, venture capital investments in generative AI firms totaled $35.3 billion, representing over 14% of all AI venture capital investment, while AI deals collectively accounted for 37% of VC-backed fundraising activity in Q3 2024.
- • Capital is now flowing strategically and concentrating in major technology hubs, reflecting growing institutional investor sophistication and heightened scrutiny of fundamental business metrics and market validation.
- • The roundtable convened senior venture capital leaders with Federal Reserve officials including Mary C. Daly (President and CEO of the San Francisco Fed) and Sunayna Tuteja (Senior Vice President and System Chief Innovation Officer) to examine investment trends, economic productivity impacts, talent constraints, and resource availability in the AI sector.
Summary
The Federal Reserve Bank of San Francisco has launched a systematic research initiative to understand how artificial intelligence and emerging technologies are transforming the economic landscape. In 2024, the San Francisco Fed and Federal Reserve System Innovation Office established the EmergingTech Economic Research Network (EERN), designed to gather empirical insights from industries at the forefront of digital transformation. The network conducts targeted roundtable discussions with practitioners across sectors to assess AI adoption stages, measure productivity impacts, and identify employment effects.
A recent EERN roundtable brought together prominent venture capital investors specializing in AI alongside senior Federal Reserve leadership, including Mary C. Daly, President and CEO of the San Francisco Fed, and Sunayna Tuteja, Senior Vice President and System Chief Innovation Officer. Co-heads Kevin Ortiz and Huyiu Li facilitated discussions focused on current investment patterns, economic implications, talent availability, and resource constraints within the AI venture ecosystem.
The roundtable participants highlighted a fundamental maturation in AI investing dynamics over the preceding 18 months. The market has evolved from an initial speculative phase characterized by euphoric capital deployment toward a more disciplined investment environment. Venture capitalists now emphasize sustainable business models and demonstrable value creation over theoretical upside. This shift reflects enhanced investor sophistication: capital remains abundant but is allocated more strategically, with pronounced concentration in established technology hubs. Investment decisions increasingly hinge on concrete metrics including real customer usage patterns and credible unit economics rather than speculative potential or technology novelty alone.
Quantitative trends underscore this evolution. By 2025, venture capital directed toward generative AI firms reached $35.3 billion, comprising over 14% of total AI venture capital investment. In the third quarter of 2024, AI-related deals represented 37% of all VC-backed fundraising activity, with total VC-backed fundraising reaching $38.0 billion, representing a 12% sequential decline from Q2 2024. These figures demonstrate both the scale of AI investment and the sector's capacity to command significant capital allocation despite overall venture funding deceleration.
The EERN initiative reflects the Federal Reserve's recognition that emerging technology adoption patterns carry macroeconomic significance for productivity growth, labor markets, and financial stability. The roundtable format enables policymakers and regulators to extract forward-looking insights from market participants closest to capital allocation decisions and technology commercialization timelines.
A recent EERN roundtable brought together prominent venture capital investors specializing in AI alongside senior Federal Reserve leadership, including Mary C. Daly, President and CEO of the San Francisco Fed, and Sunayna Tuteja, Senior Vice President and System Chief Innovation Officer. Co-heads Kevin Ortiz and Huyiu Li facilitated discussions focused on current investment patterns, economic implications, talent availability, and resource constraints within the AI venture ecosystem.
The roundtable participants highlighted a fundamental maturation in AI investing dynamics over the preceding 18 months. The market has evolved from an initial speculative phase characterized by euphoric capital deployment toward a more disciplined investment environment. Venture capitalists now emphasize sustainable business models and demonstrable value creation over theoretical upside. This shift reflects enhanced investor sophistication: capital remains abundant but is allocated more strategically, with pronounced concentration in established technology hubs. Investment decisions increasingly hinge on concrete metrics including real customer usage patterns and credible unit economics rather than speculative potential or technology novelty alone.
Quantitative trends underscore this evolution. By 2025, venture capital directed toward generative AI firms reached $35.3 billion, comprising over 14% of total AI venture capital investment. In the third quarter of 2024, AI-related deals represented 37% of all VC-backed fundraising activity, with total VC-backed fundraising reaching $38.0 billion, representing a 12% sequential decline from Q2 2024. These figures demonstrate both the scale of AI investment and the sector's capacity to command significant capital allocation despite overall venture funding deceleration.
The EERN initiative reflects the Federal Reserve's recognition that emerging technology adoption patterns carry macroeconomic significance for productivity growth, labor markets, and financial stability. The roundtable format enables policymakers and regulators to extract forward-looking insights from market participants closest to capital allocation decisions and technology commercialization timelines.
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