In an industry dominated by vocal investors seeking constant visibility across podcasts and social media platforms, Insight Partners co-head Devin Parekh maintains a starkly traditional approach. After 26 years of co-running the heavyweight investment firm—which currently manages approximately $90 billion in assets—Parekh prefers to let the firm’s robust portfolio drive its reputation. Speaking candidly during a sit-down interview with TechCrunch at the StrictlyVC event in New York City, Parekh offered a rare, unvarnished look into the inner workings of elite venture capital, addressing major industry talking points including artificial intelligence safety risks, venture market concentration, cross-investing in competing frontier AI labs, and the imperative importance of returning liquidity to limited partners (LPs).
The StrictlyVC gathering served as a prominent convergence point for venture capitalists, founders, and tech executives navigating a rapidly shifting economic landscape. Within this high-stakes environment, Parekh addressed complex realities facing modern technology investing, ranging from massive mega-rounds in foundational AI to the ongoing recovery of the broader software exit market.
Evaluating AI Safety and Pragmatic Healthcare Innovation
The dialogue immediately turned to the broader societal implications of artificial intelligence, a topic dominating public discourse following recent high-profile departures within leading AI labs over safety concerns. When questioned about whether alarms raised by AI researchers regarding existential risk amounted to mere hysteria, Parekh adopted a pragmatic risk-reward framework.
While acknowledging the theoretical danger of a non-state actor leveraging an open-source model to synthesize biological threats, Parekh emphasized that the probabilistic benefits far outweigh the speculative hazards. He pointed to the dramatic compression of timelines for drug discovery and disease eradication as transformative milestones that the world cannot afford to forgo. Drawing from his governance experience as a board member at NYU Langone Health, Parekh highlighted how machine learning models already process massive datasets—analyzing millions of historical patient records to identify hidden clinical risk factors, such as forecasting an incidental 25% probability of a cardiovascular event for a patient presenting for entirely unrelated symptoms.
From an institutional perspective, Parekh argued that scaling healthcare capabilities is an absolute necessity given global demographic shifts, specifically an aging population juxtaposed against an acute shortage of trained medical professionals. Comparing current technological anxieties to historical shifts like next-generation drone warfare, he posited that human societies consistently absorb technological risks while progressively raising global living standards.
Portfolio-Driven Strategy Versus Industry Noise
Addressing Insight Partners’ deliberate quietude relative to its massive scale, Parekh criticized the modern tendency for venture capitalists to fashion themselves as universal macroeconomic and geopolitical pundits. Rather than utilizing digital soapboxes to comment on global crises or public health emergencies, Insight adheres to a disciplined operational philosophy centered on structural performance.
This philosophy is reflected in the firm’s flexible, temporal approach to global asset deployment. Unlike firms locked into rigid geographic or strategy allocations, Insight’s recent history across its sequential funds demonstrates fluid adjustments between early-stage venture, growth equity, and buyouts. However, macroeconomic conditions have drastically altered this mix. High interest rates, conservative debt markets for software enterprises, and compressed exit multiples have stalled buyout activity, leading Insight to abstain from major buyout transactions since 2024.
Navigating Inflationary Valuations and Early-Stage Pivots
Venture-stage valuations, conversely, have surged at a velocity reminiscent of the frothy market peaks of 2021—a historical parallel that carries inherent peril. Parekh noted that traditional venture mechanics dictate that follow-on funding rounds should incorporate newly accumulated operating data, allowing investors to pay higher prices for substantially reduced enterprise risk. In the current hyper-accelerated funding environment, however, rounds close so rapidly that incremental operational data is virtually nonexistent. Consequently, investors find themselves paying premium prices without benefiting from risk reduction.
Insight’s strategic response to this valuation inflation has been a calculated pivot toward earlier-stage investments. By deploying scale funds into smaller initial bets—writing checks in the $20 million to $25 million range rather than massive $500 million tickets—the firm retains the capital flexibility to double down aggressively on proven winners. Parekh cited the cybersecurity firm Wiz as a prime operational example, where an initial Series A check was followed by continuous capital deployment, maximizing financial returns while insulating the broader fund from catastrophic downside risk.
Geographic Dispersion and the Evolution of Talent Concentration
Discussing global deal flow, Parekh observed that elite talent has largely flattened across international markets, neutralizing historical geographic barriers. He pointed to Insight’s competitive pursuit of Stockholm-based legal-tech company Legora—a deal ultimately secured by General Catalyst after a direct pitch by Insight partner Jeff Horing—as evidence of borderless founder distribution.
Nevertheless, certain technology sectors exhibit intense geographic clustering. While artificial intelligence infrastructure talent remains deeply concentrated in San Francisco, verticalized applications follow distinct industry hubs. For instance, financial technology talent remains anchored in New York, as demonstrated by companies like Ramp. This structural divergence allows vertical AI investing to maintain a far more geographically diverse footprint than foundational infrastructure plays.
Co-Investing in Frontier Rivals: OpenAI and Anthropic
One of the most provocative discussions centered on Insight Partners’ decision to hold stakes in rival foundational model giants OpenAI and Anthropic—a practice historically viewed as a strict taboo within venture capital due to potential conflicts of interest and governance entanglements.
Parekh clarified that the viability of cross-investing in direct competitors depends entirely on the investment stage. Early-stage investors executing Series A rounds, such as Khosla Ventures with OpenAI, assume board seats and direct governance responsibilities that inherently preclude investing in competing entities. However, at later stages—when institutional investors operate off the board and function primarily as financial stockholders—the dynamic shifts. Insight evaluated OpenAI as a dominant consumer-facing play while viewing Anthropic through the lens of a rigorous enterprise strategy.
As capital requirements for foundational labs escalated into tens of billions of dollars, traditional exclusivity demands dissolved. Nevertheless, Insight maintains strict information-sharing restrictions and avoids direct co-investments in competing companies at earlier development stages to respect founder sensitivities regarding intellectual property and revenue overlap.
The LP Liquidity Imperative and the Danger of Concentration Risk
A central theme of Parekh’s analysis was the critical importance of liquidity management and capital return metrics, known as DPI (Distributed to Paid-In capital), for institutional limited partners. Parekh issued a stark warning regarding first- and second-time fund managers who have accumulated massive pools of capital without returning meaningful cash distributions, predicting that many will fail to raise subsequent funds.
Reflecting on Insight’s own evolution, Parekh acknowledged that the firm historically fell into the trap of holding winning positions indefinitely under the assumption that asset valuations would perpetually double. However, institutional LPs require consistent cash realization events. Over the preceding two years, Insight successfully returned more than $20 billion to its limited partners through strategic secondary sales and initial public offerings, proving that liquidity remains paramount even for mature, multi-billion-dollar fund families.
Addressing the macro-level trend of massive capital concentration in a handful of frontier AI labs—which captured roughly half of all venture dollars during the first half of the year—Parekh cautioned against excessive portfolio concentration. While acknowledging that specialized outlier funds like Founders Fund and Thrive Capital have executed highly concentrated strategies with remarkable success, historical data across long-term market cycles heavily favors broad portfolio diversification.
Market Outlook and the Path Forward for IPOs
Looking ahead, Parekh anticipates a stabilizing wave of public market listings over the next 12 to 18 months. With mega-scale entities such as SpaceX, Anthropic, and OpenAI approaching potential public debuts at multi-trillion-dollar valuations, the broader financial markets are demonstrating an unprecedented capacity to absorb massive liquidity events.
Ultimately, Parekh’s insights at StrictlyVC underscored a fundamental truth of institutional investing: while technological revolutions continuously redefine the boundaries of innovation, enduring financial success remains tethered to disciplined risk assessment, proactive liquidity management, and an unwavering commitment to portfolio diversification across long-term market cycles.
