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- Anthropic modeled what AI could do by 2030
Anthropic modeled what AI could do by 2030
PLUS: Meta has a new personal AI agent called Muse
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howdy, it’s Barsee again.
happy thursday, AI family, and welcome back to AI Valley.
here are the biggest things worth knowing today:
Anthropic modeled what AI could do to the US economy by 2030
Meta has a new personal AI agent called Muse
Plus trending AI tools, posts, and resources
Let’s dive into the Valley of AI…
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THROUGH THE VALLEY

Courtesy: Anthropic
1/ Anthropic modeled what AI could do to the US economy by 2030 - and their extreme scenario gets pretty wild after 2027. By 2030, US GDP is 32.4% higher than without AI, annual growth hits 15.4% and unemployment reaches 11.9%.
Knowledge workers get hit hardest: 17.9% unemployment, wages down 11.5% and employment down 21.5%. Meanwhile wages for non-cognitive jobs go up 33.6%. So coders might be struggling while electricians are having a great time (until the humanoids arrive I guess).
The other big thing is who gets all this new money. Labour’s share of income drops from 60% to 45.2%, while capital income ends up ~81% higher than it would’ve been without AI. Basically the economy gets way richer, but almost all the new wealth goes to whoever owns the machines.
And most of this doesn’t really kick in until 2028. Anthropic’s model has 2026-27 looking relatively normal, then everything starts bending upwards pretty quickly.
These aren’t predictions btw. But “AI makes the economy 32% bigger while knowledge workers lose jobs and physical labour gets more valuable” is quite a scenario to be modeling for four years from now.
2/ Meta has a new personal AI agent called Muse - it’s designed to understand your goals and keep working on stuff for you 24/7. It gets its own isolated Linux computer with a browser, CPU, memory and storage, where your data and credentials live.
There’s also a separate “Sentinel” agent watching what Muse does. Anything it tries to send out to the internet has to go through Sentinel first, and it’ll ask you before doing sensitive stuff like buying something or sending an email. Your passwords are stored separately so Muse can’t actually read them.
Meta is also using a mix of models, classifiers and deterministic code to catch things like prompt injections before they get into Muse’s context.
And it’s free for up to 100M tokens/week. Meta says the bigger goal is to eventually use Muse to give everyone “personal superintelligence”... so pretty small ambitions then.
TRENDING TOOLS
DeepSeek-V4.1-Flash - the smallest model in its new architecture family, with native multimodal understanding and a focus on higher capability, faster inference, and greater throughput
Muse - Meta’s new always-working personal AI agent
ChatGPT Work - is now powered by GPT-6 Astra
Desert Ant Labs - a European frontier AI lab building on-device intelligence
Indent - a single agent that is built to work with every member of your team, simultaneously
Krea Realtime Director - allows users to direct high-quality video generations in real-time
OUI-1 - the first open-weights model for Generative UI
Voice Design - describe the accent, age, gender, and pace your use case needs, and get new voices in seconds, ready to use
Lightreel - the first AI that doomscrolls, develops content strategies, finds creators, and helps you go viral
State Machines - the first infrastructure to spin up enterprise environments. Run thousands of environments in parallel, each with its own state
WHAT I'M CONSUMING
Software is about to eat the world much faster
Personal statement on joining the OpenAI board
Scenarios for our Economic Future
AI Agent called Pip emails a Philosopher for paid gigs to avoid shutdown
I asked Zuck why he's posting on X again
XPENG launches automated production line for humanoid robots
THE VALLEY GEMS
THAT’S ALL FOR TODAY
Thank you for reading today’s edition. That’s all for today’s issue.

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