Bessemer Just Raised $5.75 Billion to Fund AI Startups
Bessemer Venture Partners has closed $5.75 billion across two new funds to invest in AI. The firm announced the news on September 23, 2026. TechCrunch
Of that total, $1.75 billion is for seed and early-stage startups, the young companies just getting started. The other $4 billion is for growth startups, the more established companies ready to expand. TechCrunch Together, the two funds cover a startup's life from first big check to later expansion money.
Since 2022, Bessemer has invested in more than 260 AI-native companies, or startups built around AI from day one. TechCrunch In total, it has put $3 billion into AI-related startups so far. TechCrunch
The announcement was shared through Business Wire on September 23, 2026. Business Wire It carries the headline "Bessemer Venture Partners Closes $5.75 Billion to Back Founders From Seed Through Growth". Yahoo Finance On its own news page, Bessemer lists it as "$5.75 billion to back the founders building what's next", described as new capital to continue fueling AI innovation. Bessemer Venture Partners
The broader context here is about structure, not only size. Like helping a shop go from its first opening to opening new locations, having both funds lets one firm back a startup early and keep backing it as it hires people, buys computing power, and finds more customers. That continuity helps founders. It avoids the handoff problem, when an early backer cannot keep investing, and it means the later-stage team already knows the company's history.
Looking at what this means for builders, the words matter. AI-native means AI shapes the product from the start. AI-related is wider. It includes tools and products where AI is important but was not the starting idea. Using both makes sense now, when it is still unclear whether the most value will come from base AI systems or from AI used for specific jobs.
In my view, the key point is the balance between old and new money. The $3 billion already spent means Bessemer has a large group of existing AI companies. The new $5.75 billion lets it keep supporting those companies and fund new ones, both at the start, where ownership is built, and later, where ownership is protected. For business customers choosing software, that steady funding is practical. It helps with stable staffing, product plans, and paying the high cost of running AI through slow periods.
The long arc here stays positive. More AI funding means more tries. Most will fail or combine. That is normal. What remains are the tools and ways of working that do well with real customers. If even a few of those 260-plus bets grow into lasting companies, future founders will have better pieces to build with.
