Investors continue to raise their stakes in artificial intelligence, but the focus is shifting from applications to “hard” infrastructure: energy, specialized chips, data centers, and cybersecurity. At the same time, volatility in recent IPOs is causing funds to reconsider their exit strategies in favor of M&A and secondary deals. Below are the key events and trends shaping the agenda of the venture market as of Wednesday, August 5, 2026.
Main Deal: Nvidia Invests $5 Billion in Safe Superintelligence
The central event of recent days remains the strategic partnership between Nvidia and Safe Superintelligence (SSI)—the lab co-founded by Ilya Sutskever, a co-founder of OpenAI. According to sources familiar with the terms of the deal, the chipmaker’s investment is approximately $5 billion—one of Nvidia's largest bets during the AI boom.
The details of the deal are impressive even amidst a heated market:
- SSI will receive priority access to the Vera Rubin computing platform—the latest architecture from Nvidia;
- the startup's computing capabilities are expected to grow tenfold within the next 12 months;
- the cumulative funding of SSI has reached approximately $7 billion, with a valuation of around $32 billion;
- the company still has no commercial products and publicly states that it does not plan to release intermediate models until it achieves its primary goal.
The deal highlights a new market logic: the largest tech corporations are willing to pay billions not for revenue, but for access to cutting-edge research and talent. For the venture funds that previously invested in SSI—including Andreessen Horowitz, Sequoia, Lightspeed, and Greenoaks—the partnership with Nvidia has provided a strong validation of their positions.
Record Half-Year: $510 Billion and Unprecedented Capital Concentration
The statistics for the first half of 2026 have rewritten all historical records. The global volume of venture investments reached $510 billion—approximately 36% above the previous record set in the second half of 2021. The first quarter brought $305 billion, making it the largest quarter in the history of the industry; the second added another $205 billion, distributed among more than five thousand startups.
However, behind the impressive figures lies a concerning market structure for allocators:
- around 43% of all capital in the half-year went to just two companies—OpenAI and Anthropic;
- nearly 80% of global funding went to American startups, from seed to late stages—a stark contrast to the pre-AI era, where the US share did not exceed half;
- in the artificial intelligence segment, the concentration is even higher: about 88% of AI investments, or approximately $319 billion, went to companies based in the US;
- the five largest managers accounted for over 73% of all venture commitments, while the top 15 firms took nearly 89%.
Analysts warn: the venture asset class increasingly resembles public indices, where returns are dictated by a narrow group of mega capitalizations. For institutional investors, this implies a risk of hidden exposure duplication when investing in multiple large funds simultaneously.
IPO Market: A Record Year with a Bitter Aftertaste
The IPO market in 2026 is formally experiencing a renaissance: 44 IPOs of venture companies have already taken place in the US—compared to 50 for the entire previous year. The climax was the June debut of SpaceX, with a historic valuation of around $1.77 trillion, followed by the listings of Cerebras, Quantinuum, X-Energy, and HawkEye 360.
However, post-debut dynamics have cooled enthusiasm. SpaceX shares dropped about 30% below the offering price within six weeks, while Cerebras’ stock fell by up to 35%. The consequences were swift:
- OpenAI has postponed its public listing plans to 2027;
- Databricks completely ruled itself out of the listing queue—the company's head called 2026 a “terrible year for IPOs” due to an overloaded calendar of mega-listings;
- Late-stage investors are increasingly turning to secondary deals and structured liquidity instead of waiting for IPOs.
An interesting counter-trend is being set by Robinhood: the broker is set to launch a second venture fund of up to $200 million, offering retail investors access to early-stage private companies through a listed structure. The listing is planned for mid-August—a signal that the democratization of the venture asset class continues regardless of the sentiment in the traditional IPO segment.
Where the Money is Going: AI Infrastructure Instead of Applications
Recent rounds in the past few days demonstrate a distinct capital shift toward the physical infrastructure of the AI economy. Investors are financing the "bottlenecks" of the boom—energy, computing, and security:
- Valar Atomics secured $1 billion in a Series B round at a valuation of $6 billion for the mass production of modular nuclear reactors for data centers;
- Commonwealth Fusion Systems raised $1 billion for the construction of an industrial-scale fusion power plant, bringing its total funding to $4 billion;
- Antora Energy closed a $550 million C round for thermal energy storage for data centers;
- K2 Space attracted $500 million for the production of powerful satellites;
- the British developer of photonic chips for AI inference, OLIX, raised approximately $312 million at a valuation of $3.3 billion;
- Horizon3.ai received $250 million for autonomous cybersecurity testing tools.
The logic of investors is clear: while the outcome of competition among AI applications remains uncertain, suppliers of the “shovels and picks”—energy, computing, and security—are poised to benefit under any scenario.
Consolidation and M&A: Strategists Reshaping the Landscape
Against the backdrop of a narrowing IPO window, mergers and acquisitions have become the primary channel for liquidity. The first half of the year has already produced significant deals: Qualcomm acquired AI chip developer Modular for approximately $4 billion, Salesforce acquired customer AI solutions provider Fin, and the acquisition of Cursor entered the history books as the largest acquisition of a venture company.
Corporate venture arms are also changing their tactics: instead of a broad portfolio of small bets, they focus on a smaller number of large investments in AI startups, viewing them as a means to gain priority access to computing power and technology. For early-stage funds, this expands the map of potential buyers for portfolio companies.
Discipline Amidst Abundance: How Funds Manage Their “Dry Powder”
Despite record amounts of available capital, easy money is not in the cards. Managers describe the current market as selective: upcoming rounds are awarded to teams with clean metrics, clear unit economics, and a coherent path to exit. Valuations are rising rapidly only for category leaders—primarily in AI and late stages—while the rest of the market is undergoing a rigorous resilience test.
It is also noteworthy that the record exit environment is not helping smaller and newer venture firms: institutional money continues to flow toward the largest brands in the industry, complicating fundraising for managers of first and second funds.
Russia and the CIS: Cautious Recovery on a Low Base
The Russian venture market is moving along its own trajectory. By the end of 2025, its volume was approximately $159 million across 102 deals, yet the average check increased by two-thirds—to $1.7 million. Projections for 2026 suggest a growth rate of 10-15%, with a gradual recovery to around 17 billion rubles.
The drivers of this growth are private and government funds, while activity from business angels is constrained by high key interest rates and competition from bonds. Among notable initiatives is the launch of the country's first specialized fund for AI-agent-based projects, along with a busy calendar of industry events: a milestone forum titled “Venture Landscape” is scheduled for mid-August in Moscow, which will bring together key players in the local ecosystem.
Looking Ahead: What This Means for Investors
The venture market enters the second half of 2026 with a unique combination of factors: unlimited private capital, record concentration, a cooling public window, and a growing role of M&A. From this, three practical implications emerge for funds and allocators. First, diversification beyond consensus mega-deals is becoming a source of alpha—competition for quality assets is significantly lower in less efficient market segments. Second, liquidity strategies require reassessment: the secondary market and sales to strategics are overtaking IPOs as the default exit scenario. Third, a focus on AI infrastructure—energy, chips, cybersecurity—appears to be the most resilient against potential valuation corrections in the applications segment. The market remains generous but rewards discipline rather than risk appetite as such.
