Unlike software, where customer acquisition is the main risk, the primary diligence question for transformative hardware is technical feasibility. If a team can prove they can build the product (e.g., a cheaper missile system), the market demand is often a given, simplifying the investment thesis.

Top growth investors deliberately allocate more of their diligence effort to understanding and underwriting massive upside scenarios (10x+ returns) rather than concentrating on mitigating potential downside. The power-law nature of venture returns makes this a rational focus for generating exceptional performance.

Unlike software, hard tech involves long scale-up timelines and high capital costs. Founders must specifically seek the small subset of investors and partners who understand the market context and have the risk appetite for massive, world-changing opportunities, rather than trying to appeal to all VCs.

VCs generate outsized returns by backing 'alpha'—fundamentally different ways of solving a problem. Many funds in the 2020-2021 ZIRP era mistakenly chased 'beta'—backing slightly better execution of known models. This operational bet is not true venture capital and rarely produces foundational companies.

A successful early-stage strategy involves actively maximizing specific risks—product, market, and timing—to pursue transformative ideas. Conversely, risks related to capital efficiency and team quality should be minimized. This framework pushes a firm to take big, non-obvious swings instead of settling for safer, incremental bets.

Ilya Sutskever's new company, focused on fundamental AI research, is attracting growth-stage capital for a high-risk, venture-style bet. This model—allocating massive funds to exploratory research with paradigm-shifting potential—blurs the lines between traditional venture and growth equity investing.

Unlike SaaS startups focused on finding product-market fit (market risk), deep tech ventures tackle immense technical challenges. If they succeed, they enter massive, pre-existing trillion-dollar markets like energy or shipping where demand is virtually guaranteed, eliminating market risk entirely.

Companies pursuing revolutionary technologies like autonomous driving (Waymo) or VR (Reality Labs) must endure over a decade of massive capital burn before profitability. This affirms venture capital's core role in funding these long-term, high-risk, high-reward endeavors.

To invest in high-risk, transformative fields like quantum computing, structure portfolios with three tiers: established leaders (e.g., IBM) forming the core, "enabler" companies providing key components (e.g., Honeywell), and a smaller allocation to purely speculative startups (e.g., IonQ) to capture upside while managing volatility.