The United States accounted for US$368 billion in technology funding in the first half of 2026, taking 82 per cent of global tech investment during the period, according to a new report by Tracxn. On paper, the numbers suggest a sharp rebound. Funding rose across headline categories, the IPO market reopened, and new unicorns emerged. But the recovery was far from broad-based. The US market’s rebound was driven overwhelmingly by a handful of artificial intelligence (AI) companies, with capital concentrating around foundation models, AI infrastructure, autonomous vehicles, defence technology, and a shrinking pool of late-stage investors. Also Read: In the age of AI, people matter more than ever That matters beyond Silicon Valley. For Southeast Asian founders and investors, the report points to a global funding environment in which capital is available, but increasingly directed towards companies with massive infrastructure ambitions, deep technical moats, and access to strategic investors. In a region where most venture-backed startups operate in consumer platforms, fintech, logistics, SaaS, and digital commerce, the US funding pattern offers both a signal and a warning. AI mega-rounds define the market Tracxn’s US Tech H1 2026 Report, covering equity funding, exits, and unicorn activity from January 1 to June 30, shows the US far ahead of every other technology market. China raised US$21.5 billion, while the UK raised US$15.3 billion. The gap was not merely geographical; it reflected the extent to which AI has pulled global capital towards the US. The half-year saw 17 mega-rounds, slightly above the 16 recorded in the second half of 2025. Three deals alone reshaped the market: OpenAI’s US$122 billion Series F, Anthropic’s combined US$105 billion across its Series H, G, and F rounds, and xAI’s US$20 billion Series E. Together, those three fundraisings exceeded the entire US seed and early-stage markets combined by more than six times. Late-stage funding jumped 299 per cent to US$324 billion. Seed funding was flat at US$5.9 billion, while early-stage funding grew only seven per cent to US$38.4 billion. This is not the profile of a venture market recovering evenly. It is a market where large pools of capital are doubling down on a small number of companies viewed as infrastructure-level bets. Enterprise AI absorbs the capital Enterprise applications captured US$298 billion in H1 2026, up 271 per cent from US$80.2 billion in the previous half. The category includes much of the foundation-model and AI infrastructure activity that now dominates late-stage venture financing. Also Read: The rise of AI twins: From assistant to infrastructure Environment tech raised US$21.1 billion, up 435 per cent from US$4 billion, while transportation and logistics tech raised US$19.6 billion, up 551 per cent from US$3 billion. Those growth rates are notable, but the absolute scale remains far smaller than AI infrastructure. Within Tracxn’s sector breakdown, AI infrastructure drew US$240 billion, making it the largest category by funding. Road transport tech attracted US$16.6 billion, Autonomous vehicles US$16.5 billion, military tech US$9.8 billion, and drones US$7.6 billion. At the business-model level, artificial general intelligence dominated the half, raising US$229 billion across just 12 rounds. Self-driving vehicles followed with US$16.3 billion across nine rounds, led by Waymo’s US$16 billion round. Defence and aerospace-linked models also gained ground. C4ISR Systems raised US$7.2 billion, Military weapon systems US$2.3 billion, avionics systems US$2.1 billion, and space hardware US$2.1 billion. AI processors raised US$3.3 billion across 18 rounds, while HPC as a service attracted US$2.1 billion. The broader pattern is clear: investors are not only backing AI applications, but also the compute, chips, robotics, defence systems, and orbital infrastructure needed to support them. Why Southeast Asia should pay attention Southeast Asia’s startup ecosystem is structurally different from the US market. The region’s biggest technology companies, including Grab, Sea Group, GoTo, Carro, and Traveloka, were built around consumer internet, payments, mobility, commerce, and logistics rather than frontier AI infrastructure. The region is still large and underpenetrated. Google, Temasek, and Bain have projected Southeast Asia’s internet economy gross merchandise value at roughly US$295 billion in 2025, with long-term growth still driven by digital financial services, e-commerce, online media, travel, and transport. But venture funding across the region has been more selective since the 2021 peak, with investors demanding clearer monetisation, lower burn, and faster paths to profitability. Also Read: Singapore’s AI National Strategy gets a sharp refresh with business ambitions front and centre The US data suggests that global capital may be bifurcating. On one side are capital-intensive AI infrastructure companies able to raise tens of billions of dollars. On the other are earlier-stage companies that still face a cautious funding environment. For Southeast Asian AI startups, this creates a difficult competitive landscape. Local companies are unlikely to compete directly with OpenAI, Anthropic, Google DeepMind, Meta, or xAI at the foundation-model layer. Their more realistic opportunities sit in applied AI for financial services, compliance, logistics, customer operations, healthcare, language localisation, and enterprise automation. Singapore is already positioning itself for this shift through its National AI Strategy 2.0, which aims to deepen AI talent and adoption. Malaysia, Thailand, Indonesia, and Vietnam are also drawing more attention from cloud providers and data-centre operators, partly because AI workloads require regional infrastructure. Still, the capital intensity of frontier AI means Southeast Asia’s advantage is more likely to come from deployment and domain-specific software than from building general-purpose models. Investors consolidate around fewer winners The investor base in the US also narrowed. Y Combinator, Andreessen Horowitz, and SV Angel led seed-stage investment. Lightspeed Venture Partners, Khosla Ventures, and Sequoia Capital topped early-stage activity. Sapphire Ventures, 1789 Capital, and CapitalG led late-stage funding. The same names appeared across the biggest rounds. Fidelity Investments backed both OpenAI and Anthropic, while GIC appeared in two of Anthropic’s rounds. The presence of Singapore’s sovereign wealth fund underlines how Southeast Asian capital is already exposed to the global AI race, even if many regional startups are not direct participants. For regional venture funds, the implication is uncomfortable. If global limited partners allocate more capital to US AI infrastructure managers and late-stage vehicles, emerging-market venture funds may need sharper differentiation. Sector generalism will be harder to defend. IPOs return, but unevenly US tech recorded 52 IPOs in H1 2026, up from 43 in the second half of 2025. Yet here too, concentration defined the market. SpaceX went public at a market capitalisation of US$996 billion, dwarfing the next major listings: Fervo Energy at US$7.4 billion and X Energy at US$6.1 billion. Acquisitions were softer by volume, slipping four per cent from H2 2025 to 803 deals. But deal sizes increased, with the average acquisition price rising to US$2.4 billion from US$1.8 billion in H1 2025. SpaceX’s US$60 billion acquisition of Anysphere was the largest transaction of the half, followed by Abbott’s US$21 billion acquisition of Exact Sciences. This matters for Southeast Asia, where IPO markets have been uneven and exits remain a recurring constraint. If global acquirers increasingly buy AI-native companies to avoid building capabilities internally, Southeast Asian startups with defensible AI applications may find strategic exits more viable than public listings. San Francisco pulls away San Francisco captured US$249 billion in H1 2026, or 68 per cent of all US tech funding. That was more than double its 31 per cent share in H2 2025, driven largely by OpenAI and Anthropic. Palo Alto ranked second with US$24 billion, helped by xAI’s US$20 billion round. Mountain View rose from US$1.7 billion to US$17.9 billion, largely due to Waymo. Also Read: Analysis: SEA’s June funding spike masks a narrow recovery in VC funding The conclusion from Tracxn’s data is not that tech funding has normalised. It is that the centre of gravity has shifted towards fewer companies, fewer sectors, and fewer investors. For Southeast Asia, the opportunity lies not in copying Silicon Valley’s AI infrastructure race, but in building around regional constraints: fragmented markets, multilingual populations, financial inclusion gaps, regulatory complexity, and enterprise digitisation. The global AI boom may be US-led, but its commercial deployment will be local. The post Why the US tech rebound matters for SEA’s AI and venture ecosystem appeared first on e27.
Author: Sainul
Source: e27