Christian Catalini

Founder @MIT Cryptoeconomics Lab. Previously: Co-Founder & Chief Strategy Officer, Lightspark. Co-Creator, Libra. Head Economist, Meta.

[Christian Catalini @ccatalini]

1/ Some Simple Economics of AGI—🔥🧵
Right now, there is a low-grade panic running through the economy. Everyone is asking the same anxious question: what exactly is AI going to automate, and what will be left for us?

[Christian Catalini @ccatalini]

@IncompleteRules 🔥

[Christian Catalini @ccatalini]

You can kill a project. You can’t kill the thesis.

[Christian Catalini @ccatalini]

@jordanschochet 👀

[stablecon @thestablecon]

"The world is about to become a lot more adversarial."

Economist and Lightspark co-founder @ccatalini says AI is about to break the assumptions that payment systems were built on.

On the newest episode of The Stable Pulse: Policy Beat, Justin Friedman sits down with Christian Catalini to unpack how the regulatory white space around agentic payments is colliding with the maturing environment for stablecoins — and why verification and trust will become the most important layer of infrastructure in e-commerce.

Listen now on Spotify, Apple Podcasts, and YouTube, and subscribe to Stable Pulse for more conversations on stablecoins, payments, AI in finance, and financial infrastructure.

Full Episode links below ⬇️

[Christian Catalini @ccatalini]

Agentic execution is commoditizing faster than verification. That gap decides which agents scale and which markets thrive. Everyone is focused on the agents. The real leverage is in the economic games around them.
https://t.co/qoWTAPiiFt

[Matt Liston @no__________end]

Economic alignment is the design of the games and institutions around AI agents.

Once agents act economically, alignment is not only about what a model does. It is about what the surrounding system can measure, reward, verify, remember, and route.

Essay: https://t.co/JaVdBur2lF

[Christian Catalini @ccatalini]

@humpdoctor @emollick Verification is indeed the bottleneck

[Christian Catalini @ccatalini]

Extremely relevant in this time of AI uncertainty: https://t.co/mRIYqL7UQ2

[Christian Catalini @ccatalini]

“the best time to invest in something is when nobody believes in it besides you. And the corollary to that lesson is that you have to totally believe in it, and you have to know why.” @fredwilson’s Doriot lecture at @MIT

[Christian Catalini @ccatalini]

@Seven_Nguyen666 We will have new jobs

[Christian Catalini @ccatalini]

If it can be measured, it will be automated.

[Bercan @bercankilic]

Today, we are launching shift. Starting in NYC, we are bridging the economy of today into the AI economy where all services, goods, and leisure will be affordable, and humanity will progress towards abundance. Please enjoy your free home cleaning and join shift for a lot more!

[Christian Catalini @ccatalini]

@schrep Congrats! Much needed.

[Christian Catalini @ccatalini]

@jamescham 🙏

[Christian Catalini @ccatalini]

Every big payments innovation was really a liability innovation. BankAmericard, PayPal, Amazon — someone agreed to take on risk others couldn't, and owned the rents for decades. The same prize is sitting unclaimed in agentic payments...

[Christian Catalini @ccatalini]

@AlexQuellsIt thank you! 🙏

[Christian Catalini @ccatalini]

@Tim_Org sounds like a plan! 🙏 a lot more to unpack...

[Christian Catalini @ccatalini]

Agree on the bottleneck, but "taste" and "judgment" smuggle in mysticism. It's the measurability gap: where agentic quality can't be cheaply verified, humans apply their own weights to steer and refine agentic output.

https://t.co/ZKOVzyb3HH

[Garry Tan @garrytan]

Exactly right. The bottleneck has never been compute or capital. Its taste and judgment about what humans actually want. Infinite compute just makes the great founders faster and the confused ones more confused. https://t.co/AmPmal8NYF

[Christian Catalini @ccatalini]

@stalmico Lots of examples among firms that are redesigning how they operate using AI.

[Christian Catalini @ccatalini]

Only when you’re deep inside an industry you are able to design and scale the type of verification infrastructure that makes foundation models truly autonomous.

[a16z @a16z]

Avoiding Death on the Yellow Brick Road: Why The App Layer Isn't Dead

The Yellow Brick Road is our shorthand for the path the labs are walking, where they’re committing extraordinary resources.

The reason the labs are best-suited for problems like code generation, writing, or image-creation is because these problems improve with raw model capability: every dollar spent on pre-training and post-training improves product quality.

Meanwhile, the rest of Oz is inhabited by more complex, often vertical problems, that aren’t as simple as giving a business user a horizontal tool with access to standard tools and computer use.

The value comes less from the underlying model’s raw capability (though that’s still important!) than from the scaffolding around it that makes the output trustworthy, compliant, and operational inside a specific industry.

Full piece by @joeschmidtiv: https://t.co/84QN5Mj9T3

[Christian Catalini @ccatalini]

@signulll It better not be.

[Christian Catalini @ccatalini]

@joeschmidtiv It’s a great piece! It cuts through a lot of the noise and fear.