Startup and Venture Capital News Roundup for Tuesday, 2 June 2026: AI Megarounds, Rising Investment in Artificial Intelligence Infrastructure, Deep Tech, Space, Energy, Robotics and New Opportunities for Venture Capital Funds
The global startup and venture capital market enters June 2026 in a state of high capital concentration. The dominant theme for venture investors and funds is the sharp strengthening of companies linked to artificial intelligence, computing infrastructure, semiconductors, energy, robotics, space and applied AI services. Against the backdrop of large rounds at Anthropic, Cognition, OpenRouter, Stord, Corgi, Thea Energy, XCENA and Unastella, the market confirms: investors are again willing to pay premiums for scale, technological advantage and access to the critical infrastructure of the new digital economy.
For venture capital funds, the current situation is mixed. On one hand, megarounds are returning to the market, leader valuations are rising, the IPO pipeline is reviving and new specialist funds are being launched. On the other hand, capital is being distributed less evenly: the best startups are attracting ever more money, while companies without a technological moat, clear revenue and global market reach face a tougher selection process.
AI Megarounds Remain the Primary Driver of the Venture Market
The key news for the venture capital market is the new funding scale achieved by the largest AI companies. Anthropic raised $65 billion in a Series H round at a valuation of approximately $965 billion. This intensifies competition in the frontier AI segment and shows that the largest funds, strategic investors and technology corporations continue to view artificial intelligence as the basic infrastructure of the future economy.
The Anthropic round is important not only for its size. It sets a new standard for late-stage financing: investors are funding not just a software product, but the entire value chain – models, computing power, enterprise clients, cloud partnerships and future public market exits. For venture funds, this means that an asset class is forming in the AI sector of companies comparable in scale to the largest public technology platforms.
Meanwhile, AI startup Cognition, developer of the autonomous software engineer Devin, raised more than $1 billion at a pre-money valuation of about $25 billion. This confirms demand for solutions that automate not individual functions, but entire professional processes – programming, testing, code maintenance and enterprise application development.
Artificial Intelligence Infrastructure is Becoming a Separate Investment Asset Class
Venture capital is increasingly shifting from consumer AI applications to the infrastructure layer. OpenRouter raised $113 million in a Series B round, with its valuation, according to market data, reaching roughly $1.3 billion. The company operates at the intersection of AI infrastructure and enterprise model usage: its platform helps select different models for different tasks, control inference costs and improve decision accuracy.
For investors, this is an important signal. The next growth phase of the artificial intelligence market will be linked not only to creating new models, but also to optimising their use. Companies that help businesses reduce AI costs, manage request routing, improve performance and integrate models into workflows could become a new layer of venture returns.
A separate area is semiconductors and memory. XCENA, a startup with offices in South Korea and the US, raised $135 million in a Series B at a valuation of around $570 million. The company bets that the main bottleneck in AI infrastructure is not just GPU computing power, but also memory operations. This reflects a broader trend: venture investments are increasingly directed toward chips, data centres, memory architecture, cooling, energy and network infrastructure.
Physical AI, Robotics and Deep Tech Are Gaining More Attention
The startup and venture capital market is gradually moving beyond classic SaaS. Investors are increasingly looking for companies that can connect artificial intelligence with the physical economy: manufacturing, logistics, energy, robotics, autonomous systems and defence technologies.
This shift is driven by two factors. First, AI is reducing the value of many traditional software products as basic functions are copied and automated ever faster. Second, physical infrastructure requires capital, engineering expertise and long development cycles, which creates a higher barrier for competitors.
- robotics and autonomous machines are becoming part of industrial automation;
- semiconductors and memory are turning into critical resources for the AI economy;
- energy and data centres are becoming an investment extension of the AI boom;
- space technologies are returning to the venture agenda amid expectations of large IPOs;
- climate tech is increasingly being evaluated not as an ESG direction, but as a sector for improving the efficiency of the physical economy.
Space and Energy Return to Fund Focus
South Korean space startup Unastella raised $24 million in a Series B round, bringing total funding to $44 million. The company is developing rockets and engines for launching small satellites, and in the longer term is considering suborbital crewed flights. For venture funds, the deal is interesting because the space market is ceasing to be exclusively a US-China story: South Korea, Japan, India and Australia are striving to take a place in the new chain of launches, satellite communications and orbital infrastructure.
In the energy sector, a notable event was the $100 million round for Thea Energy. The startup works in fusion energy and plans to use the capital to expand magnet production and build a demonstration device. For investors, this is an example of how deep tech is again gaining access to large capital when the project sits at the intersection of energy security, industrial autonomy and long-term technological advantage.
Climate Tech Is Changing Its Positioning: From ESG to Efficiency
The launch of a new $250 million fund, Gigascale Capital, shows that climate technology is shifting its investment narrative. If climate tech was previously often viewed through the lens of sustainable development, funds are now increasingly talking about modernising the physical economy: energy grids, automation, supply chains, rare earth materials, recycling and industrial infrastructure.
For venture investors, this is a fundamental change. Startups in climate tech must demonstrate not only environmental impact, but also economic superiority over existing solutions. The winning projects will be those that lower energy costs, improve supply reliability, cut operational expenses and help corporations adapt to rising demand from AI infrastructure.
Fintech, Insurtech and Logistics Maintain Investment Appeal
Despite the dominance of AI, the venture market is not limited to artificial intelligence alone. Stord, an Amazon competitor in e-commerce fulfilment, raised $250 million at a valuation of around $3 billion. The company combines a network of warehouses, inventory management software and AI interfaces for brands that want to compete on delivery speed without losing control over customer relationships.
Insurtech startup Corgi raised $106 million in a Series B1 round at a $2.6 billion valuation, shortly after its previous round of $160 million. The rapid valuation growth shows high demand for insurance infrastructure for technology companies, including cyber, general liability and products for startups. At the same time, such deals raise questions about the quality of valuations, especially when rounds occur within a short interval and involve a close circle of investors.
For funds, this means that fintech, insurtech and logistics remain attractive if the company demonstrates a scalable infrastructure model, corporate demand and the ability to embed AI into operational processes.
Consumer AI Searches for a New Growth Model
On the consumer front, a notable deal is Sekai, which raised $20 million in a Series A round to develop a platform for creating mini-apps through text prompts. Users have already created millions of mini-apps, and the model itself is built around the idea that AI can turn software creation into a mass form of digital expression.
This segment remains riskier than enterprise AI and infrastructure. However, for venture funds it is interesting for the potential to create a new consumer format after the era of short video, social networks and mobile apps. The main question is whether consumer AI can convert user engagement into sustainable monetisation, rather than just rapid audience growth.
Asia Strengthens Its Position in the Global Startup Ecosystem
The Asian venture capital market is becoming increasingly prominent in the global agenda. South Korean startups are attracting capital in semiconductors and space, Indian companies are launching AI laboratories and investing in early stages, and funds from India and Southeast Asia are looking more actively at international deals.
For global funds, this is an important geographic shift. Startups from Asia are increasingly competing not only for the local market, but also for a place in international chains of AI infrastructure, hardware, space tech, biotech and enterprise software. At the same time, regional investors are becoming more global: they are looking for deals in the US, the UK and Europe to avoid relying solely on their domestic market.
What Matters for Venture Investors and Funds
As of 2 June 2026, the startup and venture capital market yields several key conclusions for funds, LPs and strategic investors:
- AI remains the primary magnet for capital, but competition is shifting from applications to infrastructure, data, memory, chips and computing power.
- Deep tech is returning because physical assets, engineering barriers and long development cycles are once again perceived as protection against copying.
- Leader valuations are rising faster than the market, increasing the risk of overheating and requiring stricter due diligence on revenue, margins and client quality.
- The IPO pipeline is becoming an important liquidity factor: the largest AI and space companies could open a new window of exits for late-stage investors.
- The geography of venture capital is expanding: the US retains its lead, but Asia, the UK, Europe and select emerging markets are strengthening their positions.
The main practical takeaway for venture capital funds: the market is again ready to finance growth, but only where there is a technological barrier, global demand and a clear role in the new infrastructure of the economy. In 2026, the winners are not simply startups with a trendy AI wrapper, but companies that become a critical element of productivity, computing, energy, logistics, security and automation.
This is why the startup and venture capital news for Tuesday, 2 June 2026 can be described as a transition from a speculative AI boom to an infrastructure race. Money is still flowing into artificial intelligence, but increasingly into its ‘foundation’: chips, memory, energy, data centres, enterprise platforms, space technologies and the physical economy. For investors, this creates new opportunities but simultaneously demands stricter selection discipline and valuation control.
