I have a PhD in engineering from a very good school and am interested in applying my expertise to the late-stage investing world (e.g., AI, semiconductors, energy). Are there any deep tech hedge funds that exist (not quant funds)? I can't really seem to find any sizeable ones. Is there a reason none exist?
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Based on the most helpful WSO content, there isn't a specific mention of deep tech hedge funds focusing on late-stage investing in AI, semiconductors, or energy. However, here are some insights that might help:
AI/Machine Learning in Hedge Funds:
Non-Quant Hedge Funds:
Industry Trends:
Investment Skills:
If you're looking to apply your expertise in a hedge fund setting, consider exploring funds that have a strong focus on technology and innovation, even if they are not exclusively deep tech. Networking within the industry and reaching out to funds with a tech focus might also uncover opportunities that are not immediately visible.
Sources: How Do Hedge Fund "Geniuses" Einhorn and Ackman Still Have Any AUM?, Is there a future for non-quant hedge funds?, How to be a Millionaire Trader, Hedge Funds v/s Private Equity: Which industry will survive and thrive in the next two decades?, Tech vs Hedge Funds
Bump
Yeah cause guys like you will have very good experience in one narrow vertical field. And typically “engineering breakthroughs” don’t drive large cap stocks. It’s different from biotech where it does. So funds / finance ppl just end up calling up guys like you through expert network calls instead.
Interesting. Didn't 'engineering breakthroughs' essentially drive all of NVIDIA and the semiconductor stocks in recent years? Most people in the field have known for years that their GPUs are much superior to anyone else.
The issue with being a purely technical public markets investor is that successful deep tech companies combine engineering innovation with a market that can support high returns on R&D/Capex. You might be able to get the innovation right, but the innovation may not be "commercial".
Nvidia is a good case study for this. Even if you had predicted that LLMs and other models would exhibit scaling laws and that Nvidia's was best positioned to be the compute supplier of choice, none of this would matter if there were no market that could pay $$$ for AI applications. Frankly, this is still the primary debate for Nvidia as a stock. Gauging the financial attractiveness of a market is something that you will struggle with if you have no formal finance/business analysis background.
It looks like early-stage VC would suit you rather than publics
Care to elaborate?
Go work for FAANG or the startup world brother and get paid hella.
Do you think that’s really true on average?
You have a phd in engineering dude. I shouldn’t be telling you that.
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