Seligman Ventures doubles capital to $1 billion as AI boom revives hardware bets
The move comes as venture investment in U.S. and Canadian startups hit a record $392 billion in the first half of 2026. Seligman's managing partner says deal flow has exceeded expectations by 10 to 15 times.
Seligman Ventures has doubled its deployable capital to $1 billion, signaling a strategic shift toward hardware investments as the AI boom intensifies. The decision follows a period of renewed interest in capital-intensive sectors, which had previously been overshadowed by software-driven returns. This expansion underscores the belief that physical bottlenecks in AI infrastructure will create new opportunities for venture capital firms.
The AI industry's rapid growth has spurred a surge in venture capital activity, with investments in U.S. and Canadian startups reaching a record $392 billion in the first half of 2026. A significant portion of these funds, approximately $10.7 billion, was directed toward hardware-related ventures. This trend highlights the increasing importance of infrastructure in supporting AI's continued expansion.
Seligman Ventures' managing partner, Umesh Padval, noted that the volume of deal flow has exceeded initial expectations by a factor of 10 to 15. This influx of opportunities reflects the growing number of startups addressing the hardware challenges of AI, from specialized chips to data center infrastructure. Padval emphasized that the firm is leveraging both private and public data to identify the most promising investments.
The expansion of Seligman's capital is expected to influence the broader venture capital landscape, potentially altering the balance between software and hardware investments. As more firms allocate resources to hardware, the cost of entry for startups in this space may rise, increasing the risk of vendor lock-in and complicating governance structures. Market reactions will likely depend on how effectively these investments translate into scalable solutions.
Seligman Ventures' increased capital allocation is still in its early stages, with the firm projecting significant activity over the next 12 months. The long-term impact of this shift will depend on the success of the selected investments and the ability of hardware startups to meet the growing demand from AI-driven industries. The venture capital ecosystem is poised for continued evolution as it adapts to the changing needs of the AI sector.