Oct 20, 2026 · 33 min
Crypto investors debate where AI creates durable alpha
Where Is The Crypto Alpha Hiding This Cycle?
The panel tests whether crypto’s next investment edge lies in AI infrastructure, active trading, venture selection, or smaller company formation.
- 1Crypto-AI projects must prove practical utility rather than merely combine two fashionable themes.
- 2Market dispersion may reward active long-short managers, but crowding and benchmark choice complicate performance measurement.
- 3AI could make early-stage crypto companies more capital-efficient by replacing headcount with models, compute, and APIs.
Don't miss
The panel argues that AI could enable highly valuable crypto companies to operate with exceptionally small teams and far less startup capital.
The brief
Felix Jauvin convenes Arthur Cheong, Rajiv Patel-O’Connor, and Smack to examine where investment alpha might emerge in an early, uneven crypto bull market.
The panel separates useful crypto-AI applications from thematic force-fitting, then asks whether AI agents will use blockchains for payments, coordination, communication, and durable data.
Fund construction becomes a question of conviction and liquidity: venture, liquid tokens, privacy opportunities, and active long-short strategies each demand different holding periods and risk controls.
Bitcoin remains a contested benchmark as sector dispersion widens, while the panel weighs crypto indexes, IBIT, peer-relative returns, and broader deep-tech comparisons.
The sharpest forward-looking idea is that AI may let very small crypto teams build valuable companies by shifting spending from headcount toward compute and API credits.
The discussion closes by asking whether investors should pursue later-stage deals or continue backing high-quality early founders as startup formation gets cheaper.
What was said on this episode
17 statements · 13 positive · 1 negative · 1 mixed · 2 neutral
Venice AI’s inference-routing growth is accelerating sharply.
“the growth chart is still a hockey stick”
Listen at 2:47
Crypto is effective for capital formation.
“crypto is really good for capital formation”
Listen at 3:20
Crypto AI projects generally enforce encryption and privacy by default.
“crypto AI project kind of enforce encryption and privacy by default”
Listen at 5:05
Permissionless crypto systems make exploitation by rogue AI agents easier.
“the permissionless nature means that it's easier for a rogue AI agent to exploit”
Listen at 8:47
Defiance Capital budgets for 5–10% variance in final entry prices.
“we basically budget for like 5% to 10% variance in terms of our final entry price”
Listen at 12:41
Framework Ventures seeks venture-style outcomes from its investments.
“we are looking for venture style outcomes for the things that we invest in”
Listen at 13:21
Market dispersion benefits active crypto managers.
“for active managers, we want dispersion”
Listen at 20:16
Most crypto funds known to Arthur are up 20–100% year to date.
“most of the crypto funds I know is up from 20% to 100%”
Listen at 20:37
Hyperliquid has continued rising and outperforming despite consensus status.
“Hype has been like a huge market cap coin for like quite a while, and it's very consensus, and yet it's still continue to go up and outperform”
Listen at 21:17
Current markets are unusually favorable for long-short strategies.
“this is probably the golden age of a long shot strategy”
Listen at 23:43
Long-short strategies can currently profit on both legs in crypto and equities.
“you can actually make money both on a long leg and a short leg”
Listen at 24:02
Bitcoin remains the best benchmark for most crypto limited partners.
“It is still the best benchmark we have for most of the LP”
Listen at 25:11
Crypto’s seed stage currently offers substantial opportunity after investor losses.
“C-Stage is a lot of opportunity right now because everyone got so burned”
Listen at 27:55
Successful crypto seed investments can achieve 50x uplift within one to two years.
“you can get the 50x uplift pretty fast. I think you can get it in one to two years if you've done the seed stage”
Listen at 28:14
Defiance Capital ideally holds 10–20 names but usually holds 5–10.
“the ideal portfolio size for us is like 10 to 20 names, but usually we are just restricted to 5 to 10 names”
Listen at 28:51
The supply of extremely high-quality early-stage founders remains substantial.
“the number of extremely high quality founders at early stages is still there”
Listen at 29:24
A $10 million budget goes further for most projects than for training foundation models.
“that 10 million, I think, gets you a lot further, unless you are training auto models, in which case, like, it does not get you very far at all”
Listen at 32:27
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.
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