Mega-rounds signal a new center of gravity in venture capital
Recent venture capital rounds show enterprise AI funding and deep tech startups now dominate the largest deals. In one week alone, Sierra, an AI-driven customer experience company, raised USD 950 million (approx. RM4.37 billion), dwarfing most other rounds and underscoring investor appetite for scalable AI platforms embedded in everyday business workflows. Other sizeable financings went into space technology, biotech and autonomous software development, reinforcing that the biggest checks are clustering around compute-intensive, infrastructure-heavy businesses rather than lightweight consumer apps. This pattern aligns with a broader trend: investors are concentrating capital into fewer, larger venture capital rounds for companies they believe can become critical infrastructure for AI-powered economies. The message is clear: the next generation of category leaders will likely be those building foundational AI capabilities, from high-performance computing to sector-specific automation, rather than purely transactional or interface-focused software.
AI infrastructure investment surges as fintech cools
Data from Europe’s first quarter highlights how capital is being reallocated toward AI infrastructure investment and enterprise applications. AI infrastructure alone attracted USD 4.8 billion (approx. RM22.06 billion), with three late-stage deals – including Nscale’s Series C and large rounds for Neura Robotics and Wayve – contributing more than USD 4.4 billion (approx. RM20.23 billion). Enterprise applications collectively drew USD 12.7 billion (approx. RM58.36 billion), more than doubling year-on-year, driven by demand for high-performance computing and long-duration, capital-intensive projects. By contrast, fintech investment slipped 14% to USD 1.7 billion (approx. RM7.81 billion), and no single fintech round rivalled the scale of the AI and robotics financings. Deal counts fell while average sizes grew, indicating investors are prioritising fewer, higher-conviction bets in deep tech startups and enterprise AI funding, and stepping back from the volume-driven fintech boom of recent years.
Robotics AI platforms and defense tech attract serious capital
Beyond software-only AI, investors are backing robotics AI platforms and defense-oriented solutions that tackle complex physical-world problems. Config, a robotic data platform, secured USD 27 million (approx. RM124.2 million) in seed funding to build a specialised data layer for robotic foundation models. Its backers include Samsung Venture Investment and venture arms of major manufacturing and telecom groups, signaling strategic conviction that robotics will require massive, domain-specific datasets. Config positions itself as a neutral data supplier for industries such as defense, agriculture and industrial automation, competing with other robotics-focused AI players. As its CEO notes, the capital required for robotics AI far exceeds that of software chatbots because robots need data gathered in real-world environments. This dynamic is pulling investors toward companies that sit at the intersection of AI models, hardware and operational data – and away from purely digital, low-friction platforms.
Top VCs and tech giants double down on enterprise AI
The shift toward enterprise AI and deep tech is reinforced by who is leading these venture capital rounds. Sierra’s nearly billion-dollar financing was led by Google Ventures and Tiger Global, emblematic of how tech giants and established funds are anchoring the largest enterprise AI funding deals. In the broader market, firms like Andreessen Horowitz and Khosla Ventures stand out as some of the most active lead investors, taking prominent roles in rounds above USD 5 million (approx. RM23 million). Accelerators and new-generation funds, such as Y Combinator and Neo, also appear frequently in growth and follow-on financings, indicating a pipeline from seed to mega-rounds for AI infrastructure investment and deep tech startups. Their involvement signals strong institutional belief that AI-driven, compute-heavy companies – from robotics AI platforms to biotech and space tech – will define the next wave of enduring enterprise value.
From software-only to physical-world problem solving
Across regions and sectors, a common thread links the companies winning mega-rounds: they solve problems rooted in the physical world. Space-tech firms building advanced satellites, biotech startups developing new therapeutics, and platforms like Config that power industrial and defense robots all require significant capital, specialised talent and hard assets. Investors view these characteristics as barriers to entry that can create durable moats. At the same time, enterprise AI funding increasingly targets use cases such as high-performance computing, robotic automation and secure infrastructure, rather than purely digital or consumer-facing apps. This doesn’t mean software is obsolete; rather, it is being redefined as an enabler for complex, real-world systems. As venture capital rounds concentrate in fewer, larger deals, the winners are those combining deep software expertise with hardware, data and regulatory know-how to build mission-critical infrastructure for AI-first economies.