Four years in, the promoted outnumber the displaced three to one. That ratio favors the people who start now.
First, a quick word on today’s newsletter. Tuesdays are now the Learn issue. Our high-level thoughts on where AI is going, what is useful at work right now, and some of my favorite learnings. Fridays stay the practical build, like last week’s status report workflow. Two parts of a three part loop. The third, use AI, is what you are working to improve on every single day. Keep it up!
What’s Next
A sociologist asked 1,250 US workers a simple question this summer. What has AI done to your job? The results came out Friday.
3% say they lost a job to AI. 6% say they got a job that exists because of it. 9% say they got a promotion related to it. Roughly nine in ten say nothing has changed either way.
Read that again. NOTHING has changed for the vast majority of the workers surveyed. It tells me we are still super early. Four years of predictions, and we are mostly where we started. The people who said AI would take every job were guessing. The people who said it would transform everything by now were guessing too. Nobody knew anything. Which is almost always true of new technology.
Early is the good news, if you act on it. The 9% who got promoted are not ahead because they had special access in 2023. They got useful early, while everyone else read predictions, and they did it with the tools already on everyone’s screen.
Being the go-to person in your org is still a learnable position, not a credential. Nine in ten of the people around you have not started, and the tools improve every quarter. The skills you build now compound with every upgrade.
Crossing from using AI to being changed by it takes one workflow, wired in, checked, and kept. Then another. Fridays here supply them, one week at a time.
Useful now
ChatGPT’s free tier got scheduled tasks. Free users can now run up to three recurring tasks, and the Work agent can act on sites that need a login without seeing your password. Automation stopped being a paid feature this week.
Salesforce and Anthropic launched Claudeforce. Salesforce is embedding Claude in its CRM, and a companion plugin gives sellers 37 prebuilt skills, meeting prep and deal-health review included. If your company runs Salesforce, your CRM is about to live in a chat window.
Google Chat got “Ask Gemini.” One assistant inside Chat that searches Gmail, Drive, and Calendar, drafts updates, and schedules meetings. Higher usage limits are promotional through October 1. One less app switch for anyone living in Workspace.
Google Drive can now auto-classify sensitive files. Gemini labels confidential documents for loss-prevention policies automatically; owners can override. If you handle client, HR, or deal files in Drive, this is how companies will start enforcing leak prevention.
Anthropic’s Economic Index shows the experience gap opening. The vendor’s own usage data finds experienced users automate tasks far more successfully than newcomers. Equal tools, unequal returns. That is the promotion math from the top of this issue, measured at scale.
An 81,000-person study found the AI need nobody is serving. People rank personal growth second among the things they want from AI, and only 6% say AI delivers it. Platforms chase productivity instead, which leaves the opening to tools that build independence rather than dependence.
The 2026 State of AI in Finance. A full report on where AI has landed inside finance functions, with the specifics general coverage skips. The kind of document you forward to your CFO.
Google’s own report says security is now the top blocker for AI agents. 79% of tech leaders cite security, governance, or operations as the biggest obstacle to scaling agents, because agents act instead of answer. I’ve lived this in legal. Learned the hard way that building it is difficult with Bailey. If IT is slow-walking your pilot, this is the reason.
What’s possible
You have to beat the models at something. Sean Goedecke argues your durable edge is context the model lacks plus the judgment to overrule it, and that the people who stay valuable work as editors who catch the machine’s confident mistakes. Written from engineering, and it holds for every profession. The sharpest thing we read this week.
Garry Tan says the leverage is in your context, not the model. YC’s president told 7,000 people at Startup School that the gap between users has grown bigger than the gap between models, and that a personal AI built on your own context compounds. Swap founders for professionals and the argument holds unchanged.
Anthropic is funding $5M of independent research on AI and wellbeing. Outside clinicians and psychologists will build open evaluations of how chatbot use affects mental health. A leading vendor conceding there is no measurement standard yet; worth knowing before leaning on AI for emotionally loaded conversations.
Perplexity launched a fully local version of its agent. Portable Computer runs entirely on-device, keeping private data off the cloud; heavy hardware required today, consumer GPUs next. An early signal that “keep sensitive data local” is becoming a product category, which matters if your work is confidential.
The loop this week
Garry Tan told a room of 7,000 that the leverage sits in your context, not the model. This newsletter makes the same bet every week, and Friday’s report skill is the smallest version of it. Get to know your favorite platform so you can leverage your context.
What Platform do you use most for work?
- Anthropic
- OpenAI
- Gemini
- Perplexity
- Grok
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Applied AI for professionals, by Sal Carranza. One workflow a week, free.