Artificial Intelligence is rapidly transforming the global venture capital ecosystem, with traditional startup funding models struggling to keep pace with the speed, scale and capital demands of AI-driven companies, according to a new report by the World Economic Forum.
The report said AI is no longer being treated as a conventional technology sector but as a structural force changing how businesses are created, financed and expanded. It highlighted that AI-native firms are reaching significant revenue milestones at unprecedented speed, while attracting record levels of venture funding.
According to the report, AI companies are scaling far faster than earlier generations of software firms, with some reaching USD 100 million in annual recurring revenue within a year. However, the rapid pace of innovation is also weakening traditional competitive advantages.
The WEF noted that unlike earlier software businesses, where customer lock-ins and product differentiation created long-term stability, AI tools can now replicate core features within weeks. This is making it harder for startups to maintain durable market positions and forcing investors to reconsider long-standing valuation methods.
Funding Concentration Rises
The report showed that AI accounted for more than half of global venture capital deal value in 2025, with large funding rounds dominating the market. Nearly 60 per cent of AI investments went into rounds exceeding USD 100 million.
Five companies – OpenAI, Anthropic, xAI, Scale AI and Project Prometheus – together secured USD 84 billion, representing around 20 per cent of all global VC funding during the year.
The report further said the AI boom is blurring the boundaries between venture capital, private equity and large corporate investment as technology firms sharply increase spending on AI infrastructure. Global technology companies are projected to spend more than USD 650 billion on AI-related capital expenditure in 2026, primarily on data centres, semiconductors and computing infrastructure.
The WEF also pointed to growing use of AI tools within venture capital firms themselves. Investors are increasingly deploying large language models and data analytics systems to identify investment opportunities, review legal documents and monitor portfolio companies in real time.
However, the report warned that the growing infrastructure needs of AI could create financing challenges if policy frameworks fail to evolve. Unlike earlier software businesses, AI development requires heavy investment in energy systems, chips and large-scale computing facilities.
To address these challenges, the WEF called for reforms in secondary market infrastructure, regulatory coordination and institutional capital participation. It also urged governments to strengthen talent ecosystems and support startup financing through targeted, time-bound interventions.
The report cautioned that without updated liquidity systems and funding mechanisms, emerging AI companies could face capital shortages despite strong investor interest.