Lightspeed Venture Partners just confirmed it has raised one of the market’s larger (and certainly most contentious) funds — $9 billion across three new vehicles.
The raise highlights how limited partners are concentrating commitments to established managers even as historical fund formation has slowed.
- Why LPs Backed a Mega Fund Amid a Slow Venture Market
- A Bet on AI at Scale and the Capital Needs of Leaders
- Fund Structure, Vehicles and Deployment Priorities Ahead
- Portfolio Signals and Exits Across Enterprise and AI
- Competitive Landscape Among Mega-Funds Targeting AI
- What to Watch Next for Lightspeed’s Strategy and Pace

Why LPs Backed a Mega Fund Amid a Slow Venture Market
After a boom in 2021 generated few distributions and an inert exit market, endowments, pension plans and sovereign funds have once again gravitated to established franchises with proven outcomes. PitchBook data shows that 2025 is on pace for the fewest venture capital fund closings in more than ten years, underscoring the flight to scale and perceived safety.
Lightspeed’s recent exits also made its case. The firm was an early backer of enterprise security and travel platforms that have gone public, such as Rubrik, Netskope and Navan, giving its LPs precious proof points in a narrow IPO window. Those listings bolster DPI and free cash flows that LPs can recirculate back into new commitments.
A Bet on AI at Scale and the Capital Needs of Leaders
Lightspeed has billed itself in recent years as an AI-first investor and counts stakes in 165 AI-native companies. Its portfolio includes frontier model developers and applied AI with brands like Anthropic, xAI, Databricks (where it led the seed), Mistral, Glean (which is writing code), Abridge and Skild AI. That span reflects a thesis that value will accumulate across the stack — from data infrastructure and tooling to vertical applications.
Scale matters in AI. Building state-of-the-art models and training data pipelines is expensive capital, and the money tends to gravitate toward a few big winners. And then there are industry forecasts from Goldman Sachs that, cumulatively, AI infrastructure capex could exceed $1 trillion this decade — a backdrop countering funds capable of writing nine- and ten-figure checks. Lightspeed reportedly co-led a massive $13 billion round for Anthropic and wrote a $1 billion check, illustrating the amount of follow-on support the AI leaders need.
Fund Structure, Vehicles and Deployment Priorities Ahead
The total of $9 billion is distributed among six funds to allow for multi-stage coverage. A $3.3 billion opportunity vehicle has been tailored for follow-ons into breakout companies, to ensure that the firm can defend ownership through late-stage growth and pre-IPO rounds. The rest ranges across seed, early-stage and growth investments on both sides of the U.S., Europe and its home country of India, where Lightspeed has long invested.
That practically means fatter upfront checks at Series B and beyond and the ability to lead consortia that fund AI, cybersecurity, and cloud data platforms. Expect Lightspeed to continue with a barbell approach: small seed bets and conviction as the basis for portfolio construction, high-conviction growth allocations to category-leading companies as elements of success clarify.

Portfolio Signals and Exits Across Enterprise and AI
Rubrik’s debut, along with recent listings by Netskope and Navan, also set a benchmark for enterprise software and security IPOs that had largely gone quiet. Revenue quality and efficient growth are in favor among public investors once again, so Lightspeed’s enterprise skew may yield more liquidity as the offering window reopens.
On the private side, assets such as Databricks and Mistral continue to act as barometers for late-stage AI. The exact timing is unclear, but the firm’s larger opportunity fund will leave it well-positioned to do secondary transactions, structured rounds, or bridge financings that keep things going without requiring premature exits.
Competitive Landscape Among Mega-Funds Targeting AI
Lightspeed’s raise comes as part of a broader concentration trend. General Catalyst raised $8 billion in 2024, Andreessen Horowitz notched a total of $7.2 billion that year, and Founders Fund gathered $4.6 billion for growth. These giant vehicles are competing for many of the same AI and infrastructure names, often via multi-investor syndicates that need coordination, governance clarity, and rapid decision-making cycles.
For new managers, the landscape is no less punishing. It takes longer for early-stage and smaller funds to raise money, with a lack of closings and slower return of capital. That could alleviate early-stage price pressure, but also place more seed ownership in the hands of multi-stage funds that might pre-empt and commit to many years of follow-on support.
What to Watch Next for Lightspeed’s Strategy and Pace
You should be watching, for example, Lightspeed’s deal pace, the percentage of dollars it directs into AI vs. other themes, and the role it plays in co-leading late-stage mega-rounds versus leading them solo.
There are also the trading markets that offer liquidity to employees and early investors that may stall IPOs until public market conditions become more favorable.
If the IPO window continues to thaw and AI infrastructure spending maintains its current pace, Lightspeed’s $9 billion could be an offensive war chest for category kings and queens or a bit of ballast for portfolio companies thrown on the rocks in late-stage volatility. Either way, the firm just indicated that it wants to be one of the leading underwriters for the next generation of AI and enterprise champions.