From Talking to Doing

Muse, Jev, Instinct: three names most of us didn't know a few months ago are now the hottest things in AI, and they represent the industry's next generation.

For three years the industry sold us machines that talk. The money is now moving toward machines that do. From planning your Saturday shopping spree to sorting your enterprise data, these AIs don't just generate content; they solve problems.

How hot are they?

Meta's Muse rocketed to No. 1 on Apple's US App Store just ten days after launch, knocking ChatGPT out of the top spot.
Jev, from TypeSafe AI, is a "decision model" that has shot to $100+ million in revenue and a $10 billion valuation in weeks, and
Instinct, an invite-only assistant that handles your daily tasks via text, has become the talk of the Bay Area, and it's reportedly raising $1 billion.

What does this look like in practice? A Wired writer handed Instinct the keys to his inbox, and for the first time a machine didn't just answer him. It acted. Working entirely by text, it saved him $550, made his restaurant bookings and caught a phishing attempt. It also spent $64 on various items. That's a few hundred dollars up and a few dozen down on a first real test drive.

Dinner reservations are a nice start. But the bigger prize is at work, where tasks are messier, teams are involved and the stakes are higher. That's where we at TalentGenius have focused our latest release. Think of it as Muse or Instinct for the work your teams deliver every day, the gnarly kind, such as building a complex sales proposal, designing a new system, or launching a new marketing campaign.

TalentGenius considers you, your team and its capabilities, your data and your preferred AI models, then builds an AI playbook that shows exactly how to get the work done a lot better and faster. In short, it bends AI to your work, rather than the other way around. [Join the waitlist→ talentgenius.io]

This is a big shift. When AI generated text, a human stood between the output and the consequence. When AI executes, that human becomes a partner and moves up the value chain. The competitive question shifts from "whose model is smartest?" to "who owns the better workflow?"

The chatbot era rewarded curiosity. The next era will reward whoever redesigns the work first.

The week's most important AI news, curated for you:

Enterprise AI Adoption & Productivity

Meta's Muse becomes App Store's hottest download

The agentic app can autonomously send emails, book travel and negotiate bills using its own virtual machine

Jev vs. LLMs: When AI moves from generation to decision-making

TypeSafe’s AI Jev rockets to $100 million in revenue and a $10 billion valuation in weeks.

I think I found an AI agent worth the risk

Instinct saved me $550, booked my restaurant reservations, and warned me about a phishing scam. It also wasted $64 and might be a security nightmare.

Ema raises $77M as AI starts eating into enterprise software and services

By bypassing per-seat licensing in favor of outcome-based pricing, Ema quadruples its valuation while helping corporate clients phase out traditional enterprise software.

Morgan Stanley: Why the biggest AI opportunity is still ahead

As the initial chip and data center buildout matures, Morgan Stanley projects the next wave of outsized stock returns will favor “deep adopters” that embed AI into core workflows.

AI Governance, Trust & Society

Chinese AI models surge in global popularity — and Washington is worried

Driven by lower costs and rapid technical gains, Chinese open-source AI models capture majority usage on developer platforms, triggering new security scrutiny in Washington.

Oxford lets OpenAI train its AI models on the Bodleian Library

Historical dissertations and 16th-century ballads are digitized for AI training, sparking internal debate over reputational risks and environmental costs.

The AI safety debate is confusing. Here's our guide to the different factions

A breakdown of the key ideologies, corporate agendas, and policy divides shaping the future of AI governance.

Vibe working starts here

TalentGenius

TalentGenius tailors AI to you. Provide your job to be done and get your personalized AI playbook for that job. All the prompts and automations in your workflow, helping you raise your game, your way.

AI Economics & The Technology Market

SaaSpocalypse: Catchy title, flawed premise

Far from an extinction event, AI is transforming SaaS into an adaptive process layer where data readiness determines who thrives and who becomes invisible.

An imminent Google satellite test is another step toward data centers in space

Google is testing to see if its AI computing equipment can handle being launched into orbit.

Talent & The Changing Nature of Work

Chamath Palihapitiya says the AI “jobs apocalypse” ignores history. Instead, people will be 10x more productive

Argues AI is creating an era of 10x-productive workers—forcing enterprises to rethink headcount, software seats, and traditional operational costs.

The next AI divide is between learning and earning

High AI usage among Gen Z isn't automatically translating into paychecks, sparking calls for employers and educators to bridge the gap through apprenticeships and real-world projects.

AI, overseas competition threaten nearly 90K Arizona call center jobs, union warns

As automated voice agents and offshore labor squeeze customer service operations, local union leaders warn that nearly 90,000 Arizona workers face an uncertain future.

The human cost of AI acceleration: Major tech firms slash headcount to fund automated workflows

Data from Layoffs.fyi shows a massive surge in AI-attributed job losses, exposing a growing rift between soaring corporate investments in superintelligence and widespread tech displacement.