What Legendary VC Expects From AI In 2026

The Dancing Pair: Innovation and Speculation

Legendary venture capitalist Bill Gurley, speaking on The Tim Ferriss Show podcast in December 2025, articulated what many in Silicon Valley are thinking but few are saying publicly. Drawing on economic historian Carlota Perez's framework from Technological Revolutions and Financial Capital, Gurley argues that debating whether AI is real or a bubble misses the point entirely. According to his thesis, legitimate technology waves and speculative frenzies are not opposing forces but rather inevitably linked phenomena.

"Anytime a technology wave creates wealth quickly, it invites speculators, carpetbaggers, and interlopers who want to take advantage of the momentum," Gurley explained in the podcast. He characterizes the current moment as an industrial bubble, similar to the late 1990s internet boom, where durable technology and economic growth persist even after speculative fever breaks.

This distinction matters. Unlike financial bubbles such as the 2008 housing crisis, industrial bubbles leave behind lasting infrastructure and capabilities. The question for investors is not whether AI will matter in the long term but rather how to avoid being caught on the wrong side of the inevitable correction.

The Numbers: AI's Unprecedented Capture of Venture Capital

The scale of investment flowing into artificial intelligence has reached historic proportions. According to Crunchbase data analyzed in January 2025, AI-related companies raised over $100 billion in 2024, representing an 80% increase from $55.6 billion in 2023. Nearly one-third of all global venture funding now goes to AI companies, making artificial intelligence the leading sector for investments.

CB Insights research published in January 2025 found that AI represented 37% of venture funding and 17% of deals in 2024, both all-time highs. The concentration is even more pronounced in the United States, where Statista data shows AI-related investments accounted for 33% of total VC-backed investments in U.S.-based companies during the first nine months of 2024, up from just 14% in 2020.

As reported by Carta in their 2024 fundraising analysis, the percentage of capital flowing to AI startups grows larger at later stages. While AI companies accounted for about 24% of all cash raised at seed stage, by Series E and beyond, it reached 48%. At the latest stages, AI startups raised almost as much capital as all other startups combined.

Circular Deals and Accounting Questions

Gurley expressed particular skepticism about the revenue accounting among major tech companies, specifically what he calls circular deals. These transactions involve a tech giant investing in a startup, which then uses that capital to purchase cloud services back from the investor. He cited Microsoft's investment in OpenAI and Nvidia's backing of CoreWeave as prominent examples.

Gurley views this practice as a departure from clean accounting standards, noting that the revenue is essentially subsidized by the investor's own balance sheet. The behavior reflects what he describes as a casino mentality, where loss aversion diminishes during winning streaks, leading companies to take risks they might otherwise avoid. This dynamic creates inflated valuations that may not withstand closer scrutiny once market conditions tighten.

A Warning for Retail Investors

For individual investors considering entry through special purpose vehicles or secondary market opportunities, Gurley offers a blunt assessment. The investments that generated returns of 100 times or more were made years before the current hype cycle. He warns that the odds of achieving similar returns now are extremely low.

The SPV market, which has exploded as retail investors seek access to private AI companies, operates in what Gurley calls the wild west. As reported by TechCrunch in August 2024, some SPVs holding shares of companies like Anthropic or xAI are marking up prices 30% higher than what the shares sold for in the last fundraising round. Promoters often charge substantial fees without even owning the underlying stock yet.

According to data from Sydecar reported in May 2025, nearly 80% of secondary deal allocation in Q1 2025 went to AI (50%) and Aerospace and Defense (28%). The platform saw a 198% increase in secondary transactions from 2023 to 2024, with the average secondary SPV size jumping 118%, from $943K in 2023 to $2.06M in 2025.

Gurley emphasizes that investors often overestimate their risk tolerance. In private markets, the majority of venture-backed companies eventually fail, and financial transparency remains far looser than in public markets. The combination of limited information, inflated entry prices, and high failure rates creates a dangerous environment for those without institutional expertise.

The Binary Funding Environment

For founders raising capital in 2026, Gurley describes a stark reality. Institutional investors currently have zero interest in deals outside artificial intelligence. Even solid companies in other sectors face what he terms existential risk, potentially dying of neglect because they cannot secure subsequent funding rounds in this specific climate.

This dynamic has created significant distortions across the startup ecosystem. The data bears this out. As Crunchbase reported, funding to startups in North America jumped 21% year over year to more than $184 billion in 2024, driven by massive AI deals. In Q4 2024, about 62% of all North American startup funding went to companies in the AI space.

The Strategic Opportunity: Vertical Applications

Despite the bubble warnings, Gurley believes investable opportunities exist for those who know where to look. The key lies in finding founders who combine genuine curiosity about AI tools with deep domain expertise in specific industries.

Investors should avoid what Gurley calls the edge of the model, meaning applications that foundation model companies like OpenAI or Anthropic will likely build themselves. Similarly, backing the next big model company requires billion-dollar commitments that have fundamentally changed the game for most investors.

Instead, the opportunity lies in vertical applications targeting off the beaten path industries such as waste management, logistics, or specialized manufacturing. Success requires stitching together workflows and proprietary datasets rather than simply wrapping a chatbot around an existing model.

Gurley defines workflows as series of tasks that must be automated, such as booking real estate tours or processing mortgage applications, rather than models that merely answer questions. The more complex workflows and automated tasks built into a system, the better protected it becomes from disruption by general purpose AI models.

This thesis finds support in emerging market data. According to research from IVP published on their website, vertical AI startups have, on average, stronger retention rates than their horizontal counterparts because they focus on making expensive, time-consuming manual processes cheaper and more efficient. As reported by Menlo Ventures in their 2025 State of Generative AI report, vertical AI spending reached $3.5 billion in 2025, targeting specific industries like healthcare and finance, while horizontal AI captured $8.4 billion.

The Professional Imperative

Beyond investment strategy, Gurley argues that every professional must become AI-enabled to remain competitive. Regardless of industry or role, the only protection against obsolescence is becoming the most AI-capable version of yourself possible.

This message extends beyond technology workers. According to McKinsey Global Institute research from July 2023, by 2030, activities that account for up to 30% of hours currently worked across the U.S. economy could be automated, a trend accelerated by generative AI. A more recent McKinsey report from November 2025 found that currently demonstrated technologies could theoretically automate activities accounting for about 57% of U.S. work hours, with roles having the highest potential for automation making up about 40% of total jobs.

Looking Ahead

As 2026 unfolds, the venture capital community faces a delicate balancing act. The transformative potential of artificial intelligence remains genuine, but the path from here involves navigating inflated valuations, questionable accounting practices, and a crowded landscape of undifferentiated products.

For investors, the message is clear. The easy money has been made. Success now requires domain expertise, patience, and the discipline to avoid chasing momentum into overheated segments. For professionals across industries, the imperative is equally straightforward: adapt quickly or risk irrelevance.

The AI revolution is real. The question is whether participants can separate signal from noise before the speculative excess unwinds. Those who position themselves in defensible niches with genuine workflows and proprietary data stand to benefit. Those chasing yesterday's winners at today's prices face a far less certain outcome.