Kindred’s
@stevejang joined
@Bloomberg TV with
@CarolineHydeTV to discuss our new $355M fund, which builds on its prior $200M AI/deep tech fund (2022–2025) which is now valued at ~$1B, and ranking in the top 1% of its vintage. Our strategy continues to lean into AI, robotics, and infrastructure at the earliest stages.
key takeaways from the interview:
- As capital concentrates in mega late-stage rounds, seed is diverging into a distinct asset class—defined by hands-on founder co-building and differentiated support, versus finance-approach growth VC.
- On AI, Steve is pilled on multi-model agent platforms (blending open closed models) in many domains outperforming single-model stacks long term, with strong signals from companies like
@Perplexity and
@Cursor. At the same time, inference demand is exploding—driven by generative media (
@fal), LLM agents (
@parasail_io), and emerging embodied agents (robots and self-driving cars) — creating sustained investment opportunity in AI infrastructure.
- With IPO markets reopening in a record breaking way (OpenAI, Anthropic, Databricks, SpaceX in focus), expect a sharp uptick in M&A: newly public labs and platforms will acquire specialists, while older incumbents race to transform through acquisitions.
Thought provoking discussion about investing early, before consensus has been built, and the areas of early stage investment opportunity for investing in the layered stack of AI today!