Startup and Venture Capital News — Wednesday, August 26, 2026: Anthropic Set to IPO, Nvidia Acquires Entire AI Stack, and Physical AI Emerges as New Mega-Trend

Key Startup and Venture Capital Updates for August 26, 2026: Anthropic Prepares for Record IPO, Nvidia's Strategic Expansion, Mega-Rounds in Defense Technologies and Robotics, and Essential Trends in the Venture Market for Funds and Institutional Investors.

As we approach the end of August 2026, the venture market finds itself in a condition that is hard to describe in a single word. On one hand, there are historic records: the global venture capital investment volume reached $510 billion in the first half of the year, surpassing the total for 2025 ($440 billion) and exceeding the previous high of $375 billion set in the second half of 2021. On the other, there is an unprecedented concentration of capital, with OpenAI and Anthropic accounting for $217 billion, or 43% of all venture capital invested in startups worldwide.

For venture investors and funds, this means that traditional benchmarks are no longer effective. The average deal size is distorted by transactions in which most LPs will never receive allocations, and 'normalcy' in the market must now be measured outside of the top ten mega-rounds. Below are key events and trends shaping the venture market agenda for Wednesday, August 26, 2026.

Today's Main Topic: Anthropic on the Brink of the Largest Tech IPO in History

The central event of the week is Anthropic’s preparation for public disclosure for its IPO. The company, which confidentially submitted its registration draft to the SEC back in June, is set to publish its prospectus by the end of August. The target for the offering is at or above the record IPO of SpaceX, which in June raised about $75 billion (up to $85.7 billion including underwriters' options) at a valuation of $1.77 trillion.

What matters for venture investors in this deal:

• Valuation. The last private round — Series H at $65 billion — established a post-money valuation of around $965 billion. Market expectations for the IPO range from $1 trillion to $2 trillion.
• Initial Disclosure of Frontier Lab Economics. The prospectus will reveal for the first time the revenue structure, growth rates, business segmentation, and critically, the actual cost of inference.
• Risk Factors. According to sources, key risks will include growing public discontent with AI and data center construction, as well as concerns about AI's impact on employment.
• Governance Structure. The status of a public benefit corporation and the Long-Term Benefit Trust with the right to appoint an increasing share of the board — a topic that will be up for discussion among institutional buyers.
• Profitability. The gross margin forecast was revised down from approximately 50% to 40% due to higher-than-expected computational costs.

Additional context comes from Nvidia's quarterly results, which are set to be published on August 26. For the entire AI startup ecosystem, this is a key macro-indicator of the robustness of the infrastructure cycle.

Nvidia Builds a Vertical: From Chips to Models, Applications, and Talent

In recent days, Nvidia has illustrated how the largest beneficiary of the AI boom is converting cash flow into control over the entire stack. The company is discussing an investment in Perplexity as part of a round that may value the AI search startup at over $30 billion—up from approximately $20 billion a year earlier. Annual revenue for Perplexity reportedly soared from less than $250 million at the beginning of 2026 to over $750 million.

Concurrently, Nvidia has entered into a $6 billion agreement with Poolside, which includes around $1 billion in direct investments, access to the startup's technologies, and the transfer of more than 100 engineers to the Nemotron project. The aim is to create a competitive American alternative to Chinese models with open weights.

For venture funds, this creates a new structural risk: strategic investors with such a large balance act as suppliers, shareholders, and potential competitors to portfolio companies simultaneously. Classic licensing-investment-hiring constructs are increasingly being replaced with full acquisitions, which directly impacts exit scenarios.

Physical AI and Robotics: A New Category of Mega-Rounds

The robotics division of the Chinese automaker XPeng attracted over $900 million in its first external round at a valuation exceeding $6.3 billion. The round was led by IDG Capital and Gaorong Ventures, with strategic investors including Tencent and Alibaba. The funds will be used for the development of humanoid robots, mass production, and physical AI models.

A notable context: at the World Humanoid Robot Games in Beijing, two Chinese machines completed the 100-meter dash faster than Usain Bolt's record — 9.39 and 9.47 seconds versus 9.58. The same platform recorded 21.5 seconds a year earlier.

Conclusions for investment committees:

1. Physical AI has transitioned from a demonstration category to a capital-intensive industrial bet.
2. Automakers gain a structural advantage over pure robotics startups by reusing chips, perceptual systems, and manufacturing capacities.
3. Chinese tech giants are aggressively positioning themselves in embodied AI as the next computing platform.

Largest Rounds of the Week: Defense, Inference, and Infrastructure

The list of the largest American deals this week confirms a shift in capital towards “hard” sectors:

• Castelion — $800 million (plus $250 million in debt financing), defense technologies, hypersonic strike missile. The round was led by JPMorgan Chase, Andreessen Horowitz, and Carlyle, with a valuation of $13 billion.
• Etched — $700 million, semiconductors for accelerating inference, valuation of $21 billion, lead investor Jane Street.
• Higgsfield — $400 million, AI video generation platform, valuation of $5.4 billion, led by DST Global.
• Groq — $350 million, data centers, valuation of $3.5 billion, with participation from Nvidia.
• Wispr Flow — $280 million, voice AI interfaces, valuation of $2 billion, led by Menlo Ventures.
• Muon Space — $250 million, satellite constellations, led by Eclipse.

Rounding out the top ten are Also ($150 million, micromobility), Velaura AI ($110 million, ultra-low power computing), Rillet ($100 million, agentic finance, valuation of $1 billion), and Happy Health ($75 million, apnea diagnostics).

Europe: Steady Deal Flow Without Mega-Rounds

Over the week, Europe recorded more than 45 deals with a total volume exceeding €684 million. Leading sectors are fintech (€239.2 million), robotics (€178 million), and artificial intelligence (€99 million). By country, Switzerland took the top spot (€172.5 million), followed by France (€150 million) and the UK (€122.9 million).

Major deals include a $200 million investment by SoftBank in Swiss Gravis Robotics, a €150 million raise by French Ingenico, a $100 million round by Rillet at a valuation of $1 billion, and a seed round by British Callosum at $100 million—a rare example of nine-digit seed funding.

Context for the first half of the year: European tech companies raised €44.1 billion in 1,740 deals, with the UK contributing €18.7 billion, and AI startups accounting for €5.92 billion. A total of 252 exits were recorded.

M&A Market and Liquidity: Power Infrastructure as a New Asset

The exit channel remains open but is increasingly shifting towards infrastructure assets. nVent is acquiring Maverick Power for $1.75 billion with a potential earn-out of up to $550 million upon achieving targets in 2027-2028. Infineon acquired the Indian company C2i Semiconductors, specializing in power management in AI data centers.

A separate story is Hugging Face, which is exploring a sale at a valuation of $13 billion or more, having hired a bank to assess buyer interest. The last significant valuation of the company in 2023 was around $4.5 billion.

In the second quarter of 2026, the exit market set records: 32 companies went public at valuations above $1 billion, and 24 were acquired for prices starting at $1 billion, totalling $113 billion. For LPs, this means distributions have finally returned, fueling a new fundraising cycle for venture funds.

Market Structure: A Record Without Breadth

A key analytical takeaway for investors: record absolute figures mask market bifurcation. Excluding the four largest deals — OpenAI, Anthropic, xAI, and Waymo — activity in the rest of the market is close to levels seen in 2024-2025.

Additional structural observations:

• Over 70% of second-quarter capital went into AI companies compared to less than 50% a year earlier.
• 16 companies raised rounds exceeding $1 billion totaling $108.6 billion — 53% of the quarterly volume.
• Late-stage funding increased by 141% year-on-year: capital is concentrating in already proven winners.
• In the first half of the year, 195 companies joined the unicorn list — the highest since the second half of 2022.
• The share of the US in global volume decreased from 83% in the first quarter to 67% in the second.

Local Context: Russia and Markets with Limited Access to Capital

Against the backdrop of a global boom, the Russian venture market is moving in the opposite direction. According to industry research estimates, the market volume in the first half of 2026 declined by nearly 48% year-on-year, to 4.6 billion rubles. The share of foreign investment has effectively dropped to zero, with Moscow accounting for about 64% of the volume and 63% of transactions.

The market structure has also changed: seed rounds comprise 62% of deals but only 8% of the volume, while late-stage rounds account for 8% of deals and 43% of all investments. Private investors have seen the largest drop — a 59% decrease in the number of deals. For global funds, this illustrates how quickly local ecosystems lose touch with the international flow of capital in the absence of exit channels.

What This Means for Venture Funds and Investors

The agenda for August 26, 2026, offers several practical insights for capital managers:

1. Anthropic's IPO will serve as the primary test of valuations in the AI sector. The public reaction to the prospectus will set a reference point for the entire private AI universe—from frontier labs to applied startups.
2. The infrastructure layer continues to absorb capital. Energy, power distribution, cooling, and inference chips are segments with the most predictable unit economics in the current cycle.
3. Strategic investors are changing the game. The presence of Nvidia, Alibaba, Tencent, and hyperscalers in cap tables necessitates a reevaluation of approaches to protect minority positions.
4. Defense technologies and physical AI are resilient mega-round categories. Geopolitics has transformed them from niche topics to mainstream elements of venture portfolios.
5. The exit window is open, but selectively. Record IPOs and M&A focus on the upper segment; median portfolio companies still require demonstrated revenues.

The market has entered a phase where record levels of venture investments coexist with stringent selectivity. Capital is available — but predominantly to those who control technically, legally, or physically challenging layers of the AI economy.