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Why The $30B Asset Manager Franklin Templeton Is Betting Big On Crypto
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Why The $30B Asset Manager Franklin Templeton Is Betting Big On Crypto

Summary

  • Seth Ginns’s headline view is that “2026 was going to be the year that crypto and traditional finance started to converge” — and he insists it’s not vibes: Franklin is “talking to all of our peers… talking to the sell side” and sees a “really big disconnect” between that fundamental momentum and where prices are. That disconnect is precisely why Franklin Templeton doubled down by acquiring his CoinFund liquid-fund spinout, merging over 8 incoming people with 15+ already doing crypto asset management inside a firm involved since 2017–18.
  • On the CLARITY Act, Ginns’s contrarian read is that “it doesn’t really matter if CLARITY passes. What matters is that the vote happens.” Traditional primes tell him they’re “ready to build out our capital-markets activities in crypto,” but until a vote occurs they’re in a holding pattern — because moving early via the state-by-state/NY BitLicense path “undermines the momentum for getting CLARITY passed.” Pass = fast federal preemption; fail = slower but still forward. Avi points to NYSE/Nasdaq tokenized-equity partnerships and stablecoins’ Treasury collateral; Ginns says commercial adoption, not just legislation, would be the main de-risking vector against potential post-2028 political pushback.
  • His valuation framework: crypto’s lack of cash flows is less alien to equities than it looks, because equity “value capture” is partly a “misconception” — plenty of winners had no profits. Jennison analysts valued 2011–12 Amazon by putting Walmart’s net margin on Amazon revenue at a higher multiple and “ended up being totally wrong” — AWS and ads drove the profits; Tesla was pre-Model S and on the precipice of potentially going bankrupt if it failed to get the Model S out. The constant across startups, tokens, and equities: “amazing visionary founders,” product-market fit, and a path toward future revenue and value capture, not necessarily current earnings.
  • He argues AI’s cadence of innovation makes the cash-cow playbook unreliable: “you can’t bet on cash-flow businesses… You can’t bet on that continuing indefinitely with all of the change that’s happening.” Meanwhile crypto is converging toward direct value capture — “Hyperliquid is winning because they have strong revenue growth… but they also have direct value capture in the token,” and protocols are now explicitly copying that template.
  • On macro, Ginns says the hyperlevered global economy is “a problem to keep an eye on, but I also think it’s totally going to be okay” — AI-driven productivity is massively disinflationary, and he thinks the system will probably have to print to keep nominal GDP accelerating, meaning real growth plus debasement can coexist. His conclusion: this does not necessarily dilute the Bitcoin case; “I’m not sure that it does.”
  • His war stories cut against crypto exceptionalism in reverse: he was in Lehman’s headquarters the day it went under, yet says GFC volatility “was nothing compared to” crypto’s 10/10 or Bitcoin’s COVID crash — “50% in a day.” Avi’s corollary: that’s “maybe why crypto traders are doing so well in the equity markets now,” where Google can whip 8–10% on earnings and other moves reach 15–20%.
  • Career origin worth knowing: the GFC pushed him toward macro-insulated secular growth, which led to Y Combinator deal flow via FundersClub and a 2012 Coinbase seed check he held all the way to IPO. His parting advice: “you miss 100% of the shots on goal that you don’t take… learn where you have an edge, and then just lean into that.”

Deep dive

1. From a New Yorker Bitcoin article to a Coinbase seed check

  • Avi introduces Ginns as having started in healthcare banking at Credit Suisse; Ginns says he began healthcare equities in 2002, then moved through industrials during the China, Dubai, and Abu Dhabi buildout before the GFC — which is “how I got into crypto.” Exposed to macro in his day job, he hunted early-stage secular growth “that are going to grow no matter what’s happening in macro,” so he didn’t have to bet on Bernanke’s stop-start $250B QE bursts.
  • He read a 2011 New Yorker Bitcoin piece but balked because “I have to buy the Bitcoin on Mt. Gox. Mt. Gox seemed a little shady. Turns out it was a little shady.” Then FundersClub surfaced its YC batchmates — Coinbase, Instacart — and he was a seed investor in Coinbase in 2012, holding through IPO.
  • His fund-launch trigger was institutional custody. The pre-institutional alternative, as he recalls from BlockTower’s Ari: a laptop with duct tape and nail polish splashed on it, photographed to detect tampering. By 2019 the infrastructure had assembled; he joined CoinFund in early 2020, launched the liquid fund, brought in infrastructure to build an RIA, and CoinFund grew past $1B AUM.

2. No current profits? Neither did Amazon or Tesla, really

  • Avi’s challenge — how do you go from earnings and cash flows to “vaporware”? Ginns flips it: legal value capture in equities is “a little bit of a misconception,” since many winners were unprofitable or pre-revenue, “almost like a narrative or memecoin” in their sector — nuclear, quantum, or AI today.
  • The load-bearing example: Jennison’s Amazon analysts took Amazon revenue, applied Walmart’s net margin and a higher multiple — and “ended up being totally wrong,” because AWS and the ad platform, not retail, drove profitability. Tesla in 2012 hadn’t shipped the Model S and was on the precipice of potentially going bankrupt if it failed to get the car out.
  • The unifying algorithm across startups, tokens, and mature equities: bet on management — and with AI’s cadence of innovation, don’t assume cash-flow businesses or cash cows with consistent earnings but little growth will continue indefinitely. Vetting means time with management and founders: are they “a student of their end market… of their competition,” and how much of their own net worth and future wealth is on the line?
  • He also valued crypto’s unusually direct access to founders, which remains easier than in public markets outside earnings calls. In 2020 only exchange tokens had a revenue-to-buyback line, and even those were opaque. Now: “Hyperliquid is winning because they have strong revenue growth… but they also have direct value capture in the token,” and protocols are actively asking how to copy that.

3. Why Franklin Templeton doubled down in a downturn—and Ginns’s 2026 convergence thesis

  • Ginns corrects the framing that this is a new bet: Franklin has been in crypto “since the end of last decade” — 2017–18 — with tokenization technology and an asset-management arm, so the deal merged over 8 acquired people with 15+ incumbents. “What do you do if you have high conviction… and you’re in a cyclical downturn? You double down.”
  • The convergence claim is grounded in live conversations, not narrative: the disconnect between sell-side engagement momentum and prices “is something that Franklin felt was really attractive” — and something clients “were going to be asking about,” ideally packaged as something other than “up 400%, down 80%.”

4. CLARITY: the vote is the catalyst, not the passage

  • Ginns’s most tradeable specific: primes tell him “we’re ready to build out our capital-markets activities in crypto… but they want CLARITY to come to a vote.” Ginns says everyone understands the administration is forward-thinking and won’t go after banks leaning into crypto. Avi adds that stablecoins use Treasuries as collateral, creating a bid for US Treasuries.
  • If institutions take a path that does not need CLARITY, they lose federal preemption and end up with state-by-state regulation, including a New York BitLicense, which would “undermine the momentum for getting CLARITY passed.” No vote therefore means a holding pattern.
  • Avi asks whether failure could accelerate adoption before Democrats potentially return post-2028. Ginns calls that “definitely an interesting angle”: commercial adoption becomes the “main de-risking vector,” but practically “the path is a lot clearer if CLARITY passes.” In the surrounding discussion, Avi points to NYSE and Nasdaq tokenized-equity partnerships this year, plus stablecoin market-structure shifts.

5. Lehman’s last day, 10/10, and the hyperlevered economy that’s “totally going to be okay”

  • The episode’s most human moment: Ginns was in Lehman’s headquarters the day it went under, with the analyst who brought him in saying, “I don’t know if I’m going to have a job tomorrow.” Yet he insists GFC volatility “was nothing” next to crypto’s 10/10 or Bitcoin’s COVID crash — “50% in a day.” Avi’s matching story: sold Bitcoin at 7,700, alarms at 6 a.m. with it at 6,300 after “a 1-hour candle straight down.”
  • Today’s equity volatility is different from stable periods but not that different from the ’90s, possibly amplified by the shift to 0DTE options — while structurally it reflects “a hyperlevered global economy and massively disruptive technology” colliding.
  • Ginns’s resolution: AI’s disinflationary pressure will probably require printing to keep nominal GDP accelerating, so debasement plus real growth can coexist — and he is “not sure” that dilutes the Bitcoin case. He says the path to growing out of over-indebtedness is clearer than it was five years ago, when the alternative seemed to be mostly money printing.
  • His closing analogy is like calculus being invented simultaneously by multiple people: the US capitalist system finds technological precursors and allocates leveraged capital “in just enough of an intelligent, thoughtful way” — sometimes overinvesting, as in the dot-com boom — to keep technological progression moving. Seth, not Avi, says it “kind of makes me feel like this is a simulation because we nailed it perfectly.”
  • His advice to new investors: take measured risks, learn and meet people, take shots on goal, then find your edge and lean into it.