J/\ck
621 posts

J/\ck
@JackSimison
Venture @Nascent. Former Venture @Coinbase, Ops + Research @Visa. Views my own. NFA
San Francisco 가입일 Nisan 2015
741 팔로잉1.1K 팔로워
고정된 트윗
J/\ck 리트윗함

This morning the Ethereum House welcomed 12 University of Chicago students from their Digital Assets Program for a Frontier Tower tour and Q&A! @sodofi_ broke down how blockchains work and what sets Ethereum apart, while @jacksimison shared insights on the VC landscape!



English

@fatfingere No they don’t. Stablecoins, thanks to near instant settlement, are seller first giving power back to the merchants.
However, consumers have all the power today and that’s unlikely to change
English

@JackSimison what people don't realize is that the merchants pay 5% and nobody wants to pay that
English

Happy to support the @FWBtweets World Build hackathon in its third iteration with @world_chain_, and @worldnetwork!
Friends With Benefits@FWBtweets
What would you build with 38M+ users on day one? @worldbuildlabs is back for its third edition. We’re backing ambitious founders ready to build Apps with @worldcoin – the real human network. This is your chance to unlock: ✅ Instant distribution to 38M+ users across 160 countries ✅ Up to $200K in grant funding from World Foundation ✅ Fully funded trips to Seoul and San Francisco ✅ 50+ mentor hours from global founders Hack online ➡️Build in Seoul ➡️Fly to San Francisco for Demo Day. Apply now to join our Hackathon, the first step into World Build 3 ↓ worldbuildlabs.com
English

AI Agents need to spend money.
But what’s the best way for a piece of code to transact?
A few salient points to consider 👇
----------
◆ Where cards still dominate
The traditional card network is incredibly hard to beat when it comes to everyday human tasks and established trust.
> Massive acceptance → Cards boast 150M+ global merchant endpoints, vastly outpacing the ~5M crypto wallets currently used for payments.
> Buyer protection & credit → The traditional system offers $0 fraud liability and access to a $1.33T unsecured revolving credit market. With stablecoins, transactions are irreversible ("final means final") and lending is heavily overcollateralized.
> Consumer perks → Cashback, miles, and loyalty points drive our spending habits, funded by interchange fees.
But when you hand the keys over to an autonomous AI agent executing thousands of automated micro-tasks, the legacy system starts to choke.
◆ Where stablecoins win
Stablecoins are natively built for code, making them the ultimate low-friction rail for agentic finance.
> Frictionless onboarding → An AI agent can self-provision a crypto wallet in seconds without needing a legal entity. Try doing that with a traditional bank.
> Micropayment economics → Stablecoin transactions (like on @solana or @base ) cost <$0.001. Cards structurally cannot compete here due to their baseline $0.30 + 2.9% transaction fees.
> Speed & finality → Stablecoins offer 24/7 continuous settlement with sub-second finality, completely bypassing the T+1 to T+3 business days required by traditional cards.
> Programmability → Yield (5-15%), flash loans, and auto-compounding are built directly into the financial primitives. Cards, by contrast, lack composability and simply move money between static accounts.
----------
◆ What's the final the verdict?
The right rail completely depends on the agent's job description.
Buying a flight, booking a hotel, or ordering food?
→ Cards are unmatched
Executing high-speed, cross-border micropayments and composable finance tasks?
→ Stablecoins are the only viable option
Are we forcing AI agents to adapt to our legacy world, or are we ready to embrace the rails actually built for them?

J/\ck@JackSimison
English
J/\ck 리트윗함

Jack’s framing is right: this isn’t cards vs crypto tribalism, it’s about matching the rail to the task
cards make sense when agents act as proxies for humans in the existing economy
stablecoins make sense when agents engage in machine-native commerce humans wouldn’t do themselves: micropayments, metered APIs, elastic compute, long-tail cross-border services
where the stack gets even more interesting is above the rail: who gave the agent the right to spend, under what bounds, how that spend is audited, and how future spending authority evolves based on performance
that’s the direction we’ve been thinking about in our Credit Studio: rails matter but agent-native policy, accountability, and reputation are the real primitives of the agent economy
x.com/_sumeetc/statu…
J/\ck@JackSimison
English

So your layer here would be more about ensuring agent actions line up with human or agent intents?
I 100% agree this has no current solution. Hallucination risk is tough. Making systems as deterministic as possible would be good here or using something like @phylaxsystems credible layer (for onchain components) and then existing policy engines for cards.
@Mastercard’s Agent Pay is the beginnings of what you’re getting at here.
English

@JackSimison @turnkeyhq @privy @safe Agreed those handle wallet-level guardrails well. But they’re scoped to one wallet on one rail. When an agent is transacting across multiple issuers and settling across cards and stablecoins simultaneously, who enforces policy across all of it? That’s the missing layer.
English

Today we shared difficult news with the OP Labs team.
Our priority was to communicate with the impacted people & give the team time to process the news before sharing publicly. This decision reflects a narrowing of our focus, not our runway.
I’m sharing the note I sent to the team earlier today, and I strongly encourage teams across the ecosystem to reach out to the people leaving OP Labs because they are talented engineers, operators, and builders who helped build Optimism into what it is today.
If you are genuinely hiring, feel free to shoot me a DM with your open roles and I will make introductions (with dual consent).

English
J/\ck 리트윗함

A great conversation at @EthereumDenver on “The Future of Trading: Where Prediction Markets Meet Finance.” Our VP of Business Development @SirLeoThe1st joined @JackSimison (@nascent) and @setofsevens (@SkywalkTokens) to dig into where prediction markets and finance are converging.




English

@btc_trist 2. Agent policy engines for both cards and onchain commerce. For example with cards, if they're used to frequently the issuing bank or networks risk engine / policies will flag the card for potential fraud
English

A policy layer led by @turnkeyhq, @privy, and @safe lets developers encode dynamic allowlists, spend caps, and merchant-level routing rules directly into the wallet. These guardrails, similar to the card stack’s, ensure that an agent’s authority is bounded by infrastructure rather than the reliability of the LLM/skill/orchestrator itself.
English

@JackSimison Good framework. One dimension missing from both columns, who enforces the agent’s mandate before it reaches either rail? Agent onboarding is solved. Agent authorisation isn’t.
English

One of the reasons micro payments never took off with us humans is because of the "mental transaction cost". To have to make the deicsion to spend $1 turns out is more expensive than the $1 iteself.
Agents don't have that cost.
That a agentive native and consumer centric trust infra would be the catalyst here. Because in the end there is a man behind the machine and for the man trust is deeply psychological.
English
J/\ck 리트윗함

@JackSimison Great piece deserved a wider audience. Happy to bridge it to Japan!
English
J/\ck 리트윗함

「AIエージェントはクレジットカードに勝てない」は嘘である。
元Visaで現在Web3 VCにいるJack Simison氏の考察記事が非常に解像度が高いです。結論から言うと、両者は競合するのではなく「タスクによる使い分け(ハイブリッド)」に落ち着くというものです。
まず、エージェントが「人間の代理」として航空券やSaaSの支払いをする場合、圧倒的にクレジットカードが勝ちます。なぜなら既存経済の1億5千万店舗で使える受容性があり、何より「チャージバック(返金保証)」という強力な買い手保護があるからです。
一方で、人間が決してやらないような取引、例えば「0.003ドルのAPI呼び出しを1時間に1,000回行う」ようなマイクロペイメントや、「品質がプログラムでミリ秒単位で検証可能なデジタル商材」の取引においては、クレカの固定手数料(30セント+数%)は完全に経済的摩擦になります。ここで輝くのがステーブルコイン(x402プロトコル等)です。
つまり、人間の既存経済にタッチする部分はカードが担い、機械間(M2M)の超高速・超少額・即時決済の領域はステーブルコインが担う。Stripeがx402をサポートし始めたのも、この「適材適所のハイブリッド」を見据えてのことでしょう。Web3が既存金融を破壊するのではなく、既存インフラが届かない空白地帯を埋めていく、という極めて現実的な未来予想図ですね。
J/\ck@JackSimison
日本語




