For over a quarter of a century, Devin Parekh has steered Insight Partners through the turbulent waters of the venture capital industry, managing a staggering $90 billion in assets with a philosophy that prioritizes quiet operational discipline over the increasingly noisy world of social media-driven investing. Unlike many of his contemporaries who have cultivated massive followings on platforms like X or via industry podcasts, Parekh has largely operated in the shadows. This approach was on full display during a rare public sit-down at the TechCrunch StrictlyVC event in New York, where Parekh provided a candid assessment of the firm’s strategic maneuvers, the current state of artificial intelligence, and the mounting pressures of institutional liquidity.
A Legacy of Strategic Divergence
Insight Partners has long maintained a diversified strategy, eschewing the trend of hyper-concentration that has defined the post-2021 investment landscape. While many firms have poured capital into frontier AI labs like OpenAI and Anthropic, Insight has balanced these high-profile bets with a broad portfolio that spans early-stage ventures, growth equity, and buyouts.
Parekh’s tenure, which began 26 years ago, has seen the firm evolve from a niche software investor into a global powerhouse. The firm’s ability to secure stakes in heavyweights like Databricks, while also navigating the competitive bidding wars for emerging tech—such as the recent, albeit unsuccessful, pursuit of the legal-tech firm Legora—demonstrates a firm that remains hungry for growth despite its size. The loss of the Legora deal to General Catalyst, which Parekh attributed to a superior value proposition pitch from the competitor, serves as a reminder that even firms with billions in dry powder are subject to the same competitive pressures as boutique funds.
The AI Risk Calculus and Healthcare Transformation
When addressing the growing chorus of concern regarding AI safety—a discourse recently intensified by the high-profile resignation of an Anthropic researcher citing existential risks—Parekh offered a pragmatic, risk-reward assessment. He argued that the potential for catastrophic outcomes from open-source models must be weighed against the tangible, immediate benefits of AI in life-saving sectors.
As a board member at NYU Langone, Parekh has witnessed firsthand the application of machine learning in diagnostic medicine. By analyzing millions of patient records, current AI tools can identify cardiovascular risks with startling accuracy, potentially saving lives long before symptoms manifest. From his perspective, the societal benefits of scaling healthcare—particularly in an aging global population with a dwindling supply of medical professionals—far outweigh the hypothetical risks. He likened these concerns to the introduction of drone warfare or other disruptive technologies: each era brings new risks, yet the net trajectory of global living standards has historically remained positive.
Shifting Strategies in a High-Interest Rate Environment
The current macroeconomic environment, marked by elevated interest rates and tightening debt markets, has forced a recalibration of Insight’s investment thesis. According to Parekh, the buyout market, which was once a reliable engine for returns, has become increasingly difficult to navigate. Since 2024, the firm has refrained from executing major buyouts, citing the unfavorable debt environment and compressed exit multiples.
Instead, Insight has pivoted toward an earlier-stage focus. Parekh noted that current venture valuations are reminiscent of the overheated market of 2021. However, the current velocity of deal-making often leaves investors paying higher premiums for less information. By writing smaller checks in earlier rounds—typically $20 million to $25 million—Insight maintains the flexibility to double down on winners. This "scale-down" approach proved lucrative with companies like Wiz, where the firm’s early and consistent follow-on investments resulted in returns that significantly outpaced the outcomes of a singular, large-scale injection.
Geography of Talent and the AI Infrastructure Hub
While the globalization of talent has made remote investment more viable in many sectors, Parekh acknowledges a hard truth regarding the artificial intelligence "arms race": physical presence matters. He noted that his own son, also a venture capitalist, has relocated to San Francisco, echoing the consensus that the concentration of AI infrastructure talent in the Bay Area remains unparalleled.
However, this geographic density is not uniform across all verticals. In financial services, for example, hubs like New York remain the primary centers of gravity. Therefore, "vertical AI"—applications of AI tailored to specific industries like finance, legal, or logistics—offers a broader geographic footprint for investors than the foundational infrastructure models that require proximity to Silicon Valley’s deep-tech talent pool.
The Problem of Concentration and Liquidity
One of the most pressing issues in the venture industry today is the lack of liquidity. Parekh pointedly criticized the trend of funds raising massive amounts of capital without delivering commensurate returns to Limited Partners (LPs). He noted that many first- and second-time fund managers are likely to face extinction as LPs move away from those who have failed to prioritize the return of capital.
For Insight, the mantra is simple: DPI (Distributed to Paid-In Capital) matters. Over the past two years, the firm has returned more than $20 billion to its LPs through strategic exits and IPOs. Parekh argues that even in high-performing funds, managers have a fiduciary duty to secure liquidity. The habit of waiting for a 10x return to become a 20x return often backfires, and the failure to crystallize gains is a common point of friction between founders and investors.
Regarding the looming IPOs of giants like OpenAI and Anthropic, Parekh views these events as inevitable market milestones rather than catalysts for a broader sector shift. He suggests that the market’s capacity to absorb trillion-dollar companies like SpaceX indicates that a healthy appetite exists for high-quality assets. The real test, he noted, will be how the public market values the "next tier" of companies, as the era of exponential, non-stop growth inevitably transitions into a phase of more measured, sustainable performance.
Looking Ahead: The Discipline of Diversification
The boom-bust cycle of venture capital remains a persistent challenge, largely driven by the herd mentality of LPs and investors who pile into markets at the peak of the cycle. Parekh’s strategy of disciplined diversification and rigorous, systematic portfolio reviews—such as the recent deep dive into 300 companies over three days—serves as a hedge against this volatility.
The success story of Armis, where the firm maintained a relationship after losing the initial deal and later bought out the cap table to facilitate a $7 billion exit, illustrates the value of long-term patience. By remaining agile, prioritizing liquidity, and focusing on fundamental business value rather than the transient hype cycles of the AI boom, Insight Partners continues to demonstrate that size does not have to be an enemy of efficacy.
As the industry prepares for a potential wave of IPOs and a shift in the interest rate cycle, Parekh’s message to his peers is clear: the most successful firms will be those that prioritize the long-term health of their portfolios over the short-term gains of market noise. Whether that message will resonate with a younger generation of investors, often eager for the quick wins promised by the latest AI trend, remains to be seen, but the data provided by Insight’s $90 billion portfolio suggests that the quiet, analytical approach is still the most robust defense against the inherent instability of the tech sector.
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