Global VC enters AI-dominated era: Deep divergence revealed by H1 2026 data and implications for Canada

Event: Global VC Sets Record in First Half of 2026, but with Severe Structural Imbalance

According to the "Q2 2026 Global VC First Look" report released by PitchBook, global VC deal value in the first half of 2026 is on track to hit a record high, but this figure conceals a profound imbalance. AI accounted for 76.7% of global VC deal value in H1, with just four deals from OpenAI, Anthropic, and xAI contributing over 42% of global deal value. At the same time, the number of global VC deals declined year-over-year, with Europe's share of deal count falling to a decade low of 21.4%. Asia-Pacific (APAC) deal count saw a slight recovery but remained well below previous cycle levels.

In terms of exits, North American exit value reached $2.2 trillion, accounting for 93.6% of the global total, with SpaceX's IPO contributing $1.7 trillion. European exit value fell 17.5% year-over-year, while Asian exit value grew 27.9%, but concentration was also high. On fundraising, global H1 fundraising reached $98.8 billion, up 35.4% year-over-year, but North America accounted for 73.7%, while the number of funds declined for the fourth consecutive year.

Causes: Binary Polarization between AI Mania and Liquidity Drying Up

The root cause of this extreme polarization is the "liquidity stratification" of the global VC ecosystem. The United States has the most mature capital markets and the largest base of LPs (limited partners), allowing AI startups to secure massive funding and achieve IPO exits. In contrast, Europe and Asia-Pacific outside of China, due to smaller local fund sizes and limited exit channels, struggle to attract sufficient capital. The report notes that small VC ecosystems that lack a track record of sustained returns are facing difficulties in attracting capital.

AI itself is the core variable driving the divergence. The "mega-rounds" (over $1 billion) in the US AI sector have ballooned, with companies like OpenAI and Anthropic collectively absorbing hundreds of billions of dollars, leading to capital concentration among top players. This trend is particularly pronounced in North America: US deal value in H1 has already reached $413.8 billion, surpassing the full-year record set in 2021. Although AI penetration is also rising in Europe (AI deal share hit a new high), the lack of equally large fund-of-funds and institutional LP support means deal count growth is weak.

What It Means for Canada's Industry: Risks and Opportunities Coexist

As an important part of the North American innovation ecosystem, Canada benefits from the overall capital-rich environment in North America, but also faces the risk of being "siphoned off". The report shows that North American exit value accounts for 93.6% of the global total, with active IPO and M&A activity, providing potential exit channels for Canadian tech companies. However, US AI startups have absorbed the vast majority of capital, making it potentially harder for Canadian startups (especially non-AI sectors) to secure funding.Canada has advantages in AI foundational research (e.g., University of Toronto, University of Montreal) and AI applications (e.g., healthcare, energy), but its domestic venture capital market is relatively small. The report points out that small and medium-sized funds globally are facing fundraising difficulties, and Canadian funds are no exception. If Canada cannot cultivate more large-scale local institutions, its AI startups may be forced to relocate to the U.S. to secure subsequent funding.

On the other hand, AI infrastructure (e.g., data centers, grid upgrades) has become a new investment hotspot. The report cites another PitchBook study indicating that VC transaction volume in the grid technology sector reached $4.8 billion in 2025 and will continue growing in 2026. Canada has potential in clean energy and grid infrastructure and can leverage the AI boom to attract capital.

What does this mean for global tech competition: three divergences

First, regional divergence: North America is becoming the sole engine of global VC. VC activity in Europe and Asia (excluding China) is relatively shrinking, which may exacerbate the "Matthew effect" in global tech innovation, making it harder for AI startups in Europe and Asia to grow.

Second, scale divergence: The gap between megafunds and small-to-medium funds is widening. Firms like Andreessen Horowitz, Thrive Capital, and Sequoia Capital each raised over $6 billion, while emerging managers struggle to raise funds. This could lead to underinvestment in early-stage and deep tech sectors.

Third, sector divergence: AI is absorbing almost all growth capital, squeezing VC share in other deep tech areas (e.g., biotechnology, clean technology). The number of non-AI deals remains low, potentially affecting the long-term supply of diversified innovation.

What changes may occur in the next 3-10 years

In the short term, U.S. AI unicorns will continue to dominate the IPO market, but the report warns that exits are highly concentrated in a few companies like SpaceX, and actual distributions to LPs remain limited. In the medium term, if Europe and Asia cannot improve IPO channels and LP bases, their AI ecosystems may become "outsourced R&D centers" for the U.S. In the long term, AI infrastructure (e.g., computing power, power grids) will become a new investment hotspot. If Canada can establish advantages in these areas, it may avoid the capital suction and form differentiated competitiveness.

Conclusion: Long-term trends truly worth watching

The PitchBook report reveals a core trend: global venture capital is shifting from "decentralized innovation" to "concentrated betting." Canada's tech industry must face this structural change. Instead of competing head-on with Silicon Valley at the AI model level, it should build irreplaceability in "unique links within the North American value chain" such as AI infrastructure, industry applications, and cross-border talent networks. The strategic significance for Canada's future tech industry lies in this: only by becoming a key node provider of AI-era infrastructure—rather than a mere talent exporter—can it preserve its own innovation ecosystem sovereignty in the global landscape of capital concentration.