The news
Sequoia Capital partner Konstantine Buhler said AI agents mark the start of an entirely new economy. Speaking at the Citadel Securities Conference, he argued that current market moves will not remove the long-term case for investment in the technology or the jobs it will support. The remarks were made in a video interview with Dani Burger.
Context
Buhler framed the shift as one that goes beyond productivity tools already in use. He described agents as systems that can act independently on behalf of users or companies, handling sequences of tasks rather than responding to single prompts. The prior state he referenced is the current wave of generative AI, which still requires heavy human direction for most work.
The Bloomberg segment positioned the discussion around the idea that AI is not only altering existing work patterns but may be forming a distinct economic layer. A correction issued by Bloomberg clarified that the firm named in the original broadcast was Sequoia Capital. Buhler presented the agent economy as a structural change rather than an incremental upgrade to existing interfaces.
Details
Buhler stated he remains bullish on three linked outcomes: wider adoption of AI agents, net job growth, and continued returns for investors who stay patient through short-term swings. He noted that market shifts observed today do not erase the opportunities that will appear over longer periods. The comments stayed at the level of directional outlook and did not include specific timelines or investment figures.
The interview focused on the distinction between today's prompt-driven tools and the next stage of autonomous execution. Buhler emphasized that agents would change how work is allocated between software and people, without detailing particular companies or product road maps. The session formed part of the Citadel Securities Conference program, where speakers addressed longer-term technology themes.
Why it matters
For engineers and founders, the position taken by a major venture firm signals that capital will continue to flow toward startups building agent infrastructure even if valuations in other AI segments pull back. Companies that treat agents as simple add-ons to existing chat products may find themselves competing against systems designed from the start to operate with minimal oversight. The emphasis on job growth also suggests that demand for roles in agent design, oversight, and integration could offset losses in routine task work, though the exact balance remains to be measured.
The view aligns with a pattern seen in prior platform shifts: early infrastructure layers attract sustained funding while application layers face faster cycles of replacement. Builders who focus on reliable agent execution, security boundaries, and measurable business outcomes stand to capture more of the value than those chasing incremental improvements to prompt interfaces. Market volatility may compress some multiples in the near term, yet the underlying case for agents rests on their ability to reduce coordination costs inside organizations, a change that compounds over years rather than quarters.
Engineers evaluating where to allocate effort will see clearer signals that durable returns are expected in the layers that let agents act across tools, data sources, and approval workflows. Founders raising capital can expect continued questions about how their systems move beyond single-turn responses toward multi-step autonomy. Investors watching short-term price action in AI equities receive an explicit reminder that the thesis is measured in multi-year adoption curves rather than quarterly revenue beats.
The distinction Buhler drew between current generative tools and agent systems also clarifies product priorities. Teams still optimizing for better chat responses may need to reallocate resources toward execution reliability, error recovery, and integration with enterprise systems. Those already working on agent frameworks receive external confirmation that the category is viewed as foundational rather than transitional.
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