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Research Links AI Economic Transformation to Coordination Between Agents

By

@emollick

–

29 October 2026 21h59

This research gets at something missing from most debates about AI’s economic impact: coordination.

Organizations are more than the sum of their best performers, so smarter individual agents won’t transform the economy on their own. Agents that can coordinate together might do. https://t.co/4Ak3AjeAM5
— Ethan Mollick (@emollick) 29 octobre 2026

This research gets at something missing from most debates about AI’s economic impact: coordination. Organizations are more than the sum of their best performers, so smarter individual agents won’t transform the economy on their own. Agents that can coordinate together might do.

→ View original post on X — @emollick

29 October 2026
GPU Cloud Strategy Faces Tradeoffs Around Long Term Frontier Lab Contracts

By

@bentossell

–

29 October 2026 21h51

SF Compute CEO Evan Conrad (@evanjconrad) on the $50B dilemma facing GPU clouds:

"If you were a GPU cloud today, you should be selling all of your capacity to the largest labs on a long-term contract. You will make unbelievable money doing that, like $50 billion of money doing… https://t.co/KpJgm3kPJA pic.twitter.com/Mnoh6GWLXW
— Alex Konrad (@alexrkonrad) 29 octobre 2026

SF Compute CEO Evan Conrad (
@evanjconrad
) on the $50B dilemma facing GPU clouds: "If you were a GPU cloud today, you should be selling all of your capacity to the largest labs on a long-term contract. You will make unbelievable money doing that, like $50 billion of money doing

→ View original post on X — @bentossell

29 October 2026
Report Links Anthropic Compute Commitments to SpaceX Revenue Concentration

By

@paulroetzer

–

29 October 2026 21h04

Customer B has been revealed. Anthropic is SpaceX's largest single customer, overtaking NASA and the Pentagon for the first time. 34.5% of SpaceX's revenue last quarter was from compute-as-a-service to Dario Amodei, and Anthropic has committed to spending up to $120.5 billion

→ View original post on X — @paulroetzer

29 October 2026
Discussion Explores AI’s Impact on Money Purchasing Power and Human Work

By

@stephanemallard

–

29 October 2026 17h59

We discussed the future of the economy with AI. The end of money, an explosion in purchasing power and, above all, the end of human work, with all the questions of meaning that raises. Full episode here: [Traduit de FR vers EN]

→ View original post on X — @stephanemallard

29 October 2026
AI Industry Analogy Emphasizes Economic Gains From Using New Machines

By

@emollick

–

29 October 2026 17h46

For every Boulton & Watt (steam engine makers, think NVIDIA in today’s market) there were a hundred firms with names like General Amalgamated Hosiery Corporation that did at least as well. The opposite of Gold Rush dynamics.

→ View original post on X — @emollick

29 October 2026
AI Startup Strategy Commentary Prefers Industrial Revolution Over Gold Rush Analogy

By

@emollick

–

29 October 2026 17h32

I think “sell picks and shovels” is the wrong lesson for AI startups. The Gold Rush analogy is weaker than the Industrial Revolution. Gold is a single pile that runs out. Machines keep making everything cheaper. Far more people got rich using the new machines than building them.

→ View original post on X — @emollick

29 October 2026
DeepMind Essay Studies Conditions for AGI Driven Economic Transformation

By

@nicochan33

–

29 October 2026 16h49

The Economics of Intelligence: How and when does AGI lead to economic transformation? https://
institute.deepmind.com/essays/the-eco
nomics-of-intelligence/
… ✍️ @alexolegimas @andrewjkoh @ShaneLegg via "DeepMind Institute" @GoogleDeepMind 👉 The authors argue that macroeconomic transformation depends on artificial

→ View original post on X — @nicochan33

29 October 2026
Robotics Research Distinguishes Technical Task Capability From Economic Competitiveness

By

@scobleizer

–

29 October 2026 16h21

@Articul8_AI launch of Bivia got me thinking about something interesting in Anthropic's latest robotics research.

Robots can already perform physical tasks representing 34% of US working hours.

But they're cost-competitive for only 0.3% of job tasks.

We're entering an era… https://t.co/RyqJll4ZnB
— Robert Scoble (@Scobleizer) 29 octobre 2026

@Articul8_AI launch of Bivia got me thinking about something interesting in Anthropic's latest robotics research. Robots can already perform physical tasks representing 34% of US working hours. But they're cost-competitive for only 0.3% of job tasks. We're entering an era

→ View original post on X — @scobleizer

29 October 2026
Bank Operations Agent Case Study Reports Deployment and Time Savings

By

@jiquanngiam

–

29 October 2026 16h11

@ModernTreasury put a bank-ops agent live on Mintive in under three weeks. A four-hour task now takes minutes. @UMich runs Mintive for 150,000 students, faculty and staff. @coursera @Braze @ro @StabilityAI and @apax_partners run on it too.

→ View original post on X — @jiquanngiam

29 October 2026
DeepMind Research Program Studies the Economics of Intelligence and AGI

By

@demishassabis

–

29 October 2026 16h04

I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (@andrewjkoh) and Shane Legg (@ShaneLegg), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how… pic.twitter.com/QLxYCTBoSG
— Alex Imas (@alexolegimas) 29 octobre 2026

I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (
@andrewjkoh
) and Shane Legg (
@ShaneLegg
), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how

→ View original post on X — @demishassabis

29 October 2026

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