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AI is upping VCs’ value-add

Reported by Venturecapitaljournal
Apr 30, 2026· 3 min read
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Key Takeaways
  • • AI-related venture capital investments reached USD 258.7 billion in 2025, representing 61% of total global VC funding—more than double the 30% share in 2022—fundamentally reshaping capital allocation across the sector.
  • • A single USD 40 billion AI megadeal in Q1 2025 lifted total VC-backed funding to USD 80.1 billion (28% quarter-over-quarter increase), but without it, VC funding would have declined 36%, signaling underlying deal volume weakness despite sector enthusiasm.
  • • Generative AI funding specifically surged to USD 35.3 billion in 2025 (14% of all AI VC investments), up from USD 2.8 billion in 2022, with US firms capturing 75% of global AI VC deal value (USD 194 billion).
  • • VCs are increasingly deploying AI tools to enhance core investment functions—accelerated due diligence, deal sourcing, and portfolio company discovery—while placing greater emphasis on companies with defensible intellectual property and access to unique data.
  • • Mega deals (USD 100 million+) now comprise 73% of total AI investment value, concentrating capital away from early-stage funding and signaling investor preference for later-stage, capital-intensive infrastructure plays over nascent generative AI applications.
Summary
The venture capital landscape has undergone dramatic transformation in the three years since ChatGPT's launch, with artificial intelligence now dominating deal flow and capital allocation at unprecedented scale. According to Stanford research cited in available reporting, global private AI investment reached USD 252.3 billion in 2024, with generative AI funding alone reaching USD 33.9 billion—more than eight times higher than 2022 levels. This acceleration continued into 2025, where AI-related VC investments globally totaled USD 258.7 billion, representing 61% of all VC funding and doubling the sector's 30% share from 2022.

Q1 2025 exemplified both the outsized opportunity and underlying market stress in venture capital. A record USD 40 billion megadeal lifted total VC-backed funding to USD 80.1 billion, a 28% quarter-over-quarter increase from Q4 2024 and the strongest quarter since Q1 2022. However, this single transaction masked troubling momentum: without it, VC funding would have declined 36% from the prior quarter. Deal volumes contracted further, with only 79 transactions exceeding USD 100 million—down from 90 in Q4 2024. According to EY analysis, investors grew more selective entering 2025, reflecting reluctance to finance follow-on rounds without clear liquidity paths, particularly for companies that have not raised capital since 2021. Fund formation also hit its lowest level since Q3 2018 at USD 10 billion for the quarter, despite significant dry powder remaining on the sidelines.

Generative AI funding demonstrated explosive growth within the broader AI category, rising from approximately 2% of total AI VC investments (USD 2.8 billion) in 2022 to 12% (USD 15.3 billion) by 2023, and ultimately reaching USD 35.3 billion or 14% of all AI VC investments in 2025. The United States dominates global AI VC, attracting 75% of worldwide deal value (USD 194 billion), while US investors represent 56% of global outgoing VC investments in AI (USD 124 billion). The capital concentration reflects a structural shift toward mega deals: investments exceeding USD 100 million comprised 73% of total AI investment value in 2025, a pattern that has intensified since 2023. AI infrastructure and hosting—critical to scaling advanced AI systems—captured the lion's share of investment, reaching USD 109.3 billion in 2025, more than two-thirds the value of all other AI industries combined.

Beyond capital flows, venture firms themselves are weaponizing AI to enhance investment operations. VCs are leveraging AI tools to accelerate due diligence processes, optimize company discovery and deal sourcing, and strengthen knowledge management across portfolios. Simultaneously, investor thesis evolution shows heightened focus on companies with defensible intellectual property and proprietary data access—characteristics increasingly critical in an AI-saturated market. The sector's emphasis has shifted away from early-stage generative AI startups toward capital-intensive infrastructure plays supporting large language model development, reflecting both the maturation of foundational models and investor pragmatism regarding unit economics and path to profitability. With enterprises projected to begin selecting winning AI platforms in 2026, venture capital is positioning itself at the infrastructure layer, where defensibility and network effects provide clearer value creation mechanics.

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Sources

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Venturecapitaljournal AI is upping VCs’ value-add