What are experts saying on what the future of seed technology investing looks like?

The seed technology investing landscape is undergoing a structural transformation characterized by commoditization and strategic divergence . The number of funds writing sub-$1 million checks has grown from single digits to over 350, creating a high-volume environment . This scale presents a challenge, as many venture firms avoid specializing in seed because it is difficult to scale Assets Under Management (AUM), the primary driver of fees [4, 13]. This has led to a debate on fund strategy, with some arguing that multi-stage VC firms are better at seed investing than dedicated seed funds , while others predict the multi-stage strategy of making high-velocity seed investments as options for later rounds is unsustainable . Fund size is also a critical factor, with some experts suggesting that funds between **$50 million and $100 million** are poorly positioned to achieve sufficient ownership and diversification given that average seed rounds now reach $4 to $5 million . This environment reinforces the high-risk nature of the stage, where most investment decisions are expected to be wrong and predicting winners is considered nearly impossible [1, 5, 6].

The rise of artificial intelligence is rewriting the traditional venture playbook, creating both immense opportunity and significant strategic questions for seed investors . AI-native companies are demonstrating unparalleled and unpredictable revenue trajectories, marking an end to the era of predictable SaaS growth [19, 20, 28]. This hyper-growth challenges traditional valuation metrics and has led to billion-dollar seed rounds that some investors find incomprehensible [18, 30]. There is significant tension regarding the viability of AI at the seed stage; some investors argue AI companies are **poor seed investments** because their capital-intensive nature severely dilutes early backers . Others believe incumbents with established distribution channels will be the primary winners, not new startups . In response, some VCs are recalibrating their strategies to focus on the more tangible "physical layer" of AI, such as photonics and semiconductors, which may require different valuation methodologies and deeper technical expertise .

Beyond software, investors see a new, multi-decade hardware revolution emerging, driven by advancements in robotics, AI, space, and defense . This shift is influenced by strong geopolitical tailwinds, creating specific opportunities in European defense, energy, and space technology . Some analysts predict the emergence of a "tripolar world" where the United States, Europe, and China will foster separate, competing ecosystems in these critical sectors [26, 27]. This hardware-centric trend is accompanied by potential supply chain disruptions, with some experts forecasting a significant increase in memory prices that will impact the consumer hardware and robotics industries . This evolving landscape is also changing business models, with a broad shift away from seat-based subscriptions toward consumption-based or outcome-based pricing [14, 15].

These technological and geopolitical shifts are reshaping the financial calculus for seed investors by dramatically expanding the potential scale of returns. The target for a top-tier exit has moved from the $30-50 billion range to **multi-trillion dollar possibilities**, as exemplified by companies like OpenAI and SpaceX . The 99th percentile exit for a venture-backed company is now reportedly $20 billion or more . This expansion of potential outcomes is critical, as seed investors must balance the need to make non-consensus bets with the requirement that their portfolio companies eventually build enough momentum to attract consensus capital for a Series A round [2, 3]. Simultaneously, the exit landscape itself is changing, as the best private companies increasingly choose to stay private longer, elevating the importance of secondary sales and acquisitions over traditional IPOs .