Startups raised a record $189 billion in funding in February, with outsized artificial intelligence deals driving the total even as publicly traded software companies sold off, according to data reported by Crunchbase News.

The figure marks an all-time monthly high for global startup investment, and the composition of that money is what stands out: the record did not come from a broad-based recovery across the venture market. Instead, a small number of exceptionally large AI financing rounds lifted the aggregate total to a level no prior month has reached.

The contrast with the public markets is stark. While private capital piled into AI startups at a record pace in February, public software stocks — the cohort most often compared to AI-native upstarts — reeled over the same period. Investors appear to be drawing an increasingly sharp line between private AI companies capturing fresh capital and listed software vendors whose growth narratives are under pressure from the same technology shift.

Crunchbase News, which tracks venture, private equity and growth-stage financing globally, reported the $189 billion total as a record for a single month. The publication attributes the peak to massive AI deals rather than to broad strength across sectors or stages.

For the semiconductor supply chain, the pattern matters indirectly but meaningfully. Large AI model developers and infrastructure startups are among the biggest customers for advanced accelerators, high-bandwidth memory and leading-edge foundry capacity. When capital continues to concentrate into a handful of well-funded AI companies at multi-billion-dollar scale, it reinforces demand concentration at the top of the stack: a few buyers with deep balance sheets placing very large orders for compute.

That dynamic has already reshaped procurement across the chip industry over the past two years, with hyperscalers and AI labs signing multi-year supply agreements and, in some cases, co-investing in manufacturing capacity. A record month of AI-centric private funding suggests the capital engine behind that demand remains intact even as public-market sentiment toward software deteriorates.

The divergence also raises valuation questions. Private AI companies are raising money at premium multiples at precisely the moment their public-market analogues are trading down. If public software stocks continue to weaken, late-stage private investors may face pressure to justify the spread between private marks and public comparables — a tension that has historically preceded recalibrations in private-market pricing.

What February's record does not show is breadth. A total driven by a handful of megadeals says little about the health of seed and Series A activity, or about sectors outside AI. Crunchbase's framing — massive AI deals driving a record aggregate while public software equities struggle — points to a market bifurcated by theme and by liquidity venue rather than one in expansion across the board.

The open question for the months ahead is sustainability. Repeated nine- and ten-figure AI rounds require both continued investor appetite and credible paths to revenue for the companies raising at such scale. If both hold, February's $189 billion may look less like a peak and more like a baseline for an AI investment cycle that continues to concentrate capital, compute demand and negotiating power in a shrinking number of private hands.