“The LLM decided” is not an explanation. It's a gap where an explanation should be. Every automated outcome has a human lineage: someone chose the objective, set the constraints, and signed off on deployment.

These so called "AI layoffs" are most likely to happen at companies who are doing the least AI. 🧐 Here's my deep dive: Who's on team Medium? bit.ly/4g0zJzb Who's on team Substack? bit.ly/quaesita_lay...

AI is here to stay! Learn how to use it to make your decision-making better, not worse. My Decision-Making with ChatGPT course is running on demand and you'll have your opportunity to ask me anything you like during the 2h live Q&A on Monday. Enroll here: decisiongptcourse.com

AI sees what you did, not why you did it. It captures patterns in behavior, not the intent behind decisions. Patterns are useful. Purpose still belongs to humans. We’ll talk about this in the latest cohort of my course. Live Q&A is at 8 AM ET on Monday. Don’t miss it! decisiongptcourse.com

Last year, 4.5% of US layoffs were "due to AI" and now this year in March, it's 25%. In April, the number is 26%.* I smell a rat. 🐀 🐀 🐀 🐀 Here's my take on what's happening: bit.ly/quaesita_layoffs

The more powerful AI gets, the more valuable restraint becomes. All these new developments can sometimes trigger the wrong instinct: Automate all the things. Easy there 😄 Just because you can delegate to a machine doesn’t mean you’ve found leverage.

At Meta, tens of thousands of employees were ranked by how many tokens they burned. The top user logged hundreds of billions in a month. Across companies, similar patterns are emerging. Read the full piece here: bit.ly/quaesita_tok...

AI-first isn’t a tech mandate. It’s a decision-making posture. If something works well without AI, that’s often a feature, not a failure. If you want to get better at making those calls: decisiongptcourse.com 📅 April 21, Tuesday, 2 PM ET #DecisionIntelligence #AILeadership #StrategicThinking

Starting with AI is often how teams get it wrong. Start with the decision. Then the outcome. Then the constraints. Then the way of working. Then, with the tool. Sometimes that tool is AI. Sometimes it isn’t. We’ll talk about how to tell the difference: decisiongptcourse.com 📅 April 21, 2 PM ET

If seams tell you where a system breaks, objectives and incentives tell you why it breaks.

Anthropic is holding monster model Claude Mythos back from public release and sharing it instead with the organizations in its Project Glasswing security consortium. A lot of people seem to want this story to be one of 3 things:

How many of these 25 #AI #headlines did you catch recently? Tell me the one you find most interesting in the comments. For the curious, my newsletter digs into each one: decision.substack.com

Which of these true news stories were on your 2026 bingo card? ⚡️ Anthropic launched Mythos, a model too dangerous to release publicly.

"Yay!! Oh. Oh, no." ...is the themesong of agentic AI.

NVIDIA CEO Jensen Huang described AI as a five-layer cake. 🍰 Chips, models, applications, energy, data centers. A full stack. A complete system. A solved problem. Delicious. 🍴 Except there’s a layer missing: youtu.be/MOTEZqdzyRA

The Real Bottleneck for AI: Human Attention

NVIDIA CEO Jensen Huang described AI as a five-layer cake. 🍰 Chips, models, applications, energy, data centers. A full stack. A complete system. A solved problem. Delicious. 🍴 Except there’s a…

youtu.be

AI should serve people; yet many organizations start with the tool. When you start with tools, humans serve tools. When you start with decisions, tools serve humans. Automation after leadership, not instead of it. Join my live AMA: decisiongptcourse.com 📅 Apr 21, Tuesday, 2 PM ET #AILeadership

😠 😡 😤 What do you think of Claude Code's answer to a question I asked while in a Sunday morning vibe coding session? Agree? Disagree? Throw your phone at the wall in rage? ME 👩‍💻 ❯ How common is systems thinking among developers?

How many of these 16 #AI #headlines did you catch recently? Tell me the one you find most interesting in the comments. For the curious, my newsletter digs into each one: decision.substack.com 🗞️ 1 China is giving away apartments to anyone with a computer and an AI agent

My AI agents only helped me halfway with making this image, but halfway is better than no way. Who else is optimizing for time saved wherever they can get it? Always trying to find ways to cram more life into my life. How I'm doing things:

AI adoption is expensive. But so is avoiding it. Everyone wants the upside of AI. Fewer want to foot the bill. Avoiding that cost doesn't make it disappear, it just shows up later.🤷‍♀️ I'll be answering questions live in my Maven course's latest cohort: decisiongptcourse.com

If you don’t define the default action, you still have one. More insight, less noise → decision.substack.com #DecisionIntelligence #Governance #Leadership

How many of these 14 #AI #headlines did you catch recently? Tell me the one you find most interesting! 🗞️ 1 OpenAI secures Pentagon deal as Anthropic is cut off over AI limits 🗞️ 2 93% of developers use AI for code, but productivity gains stall at 10%

AI writes the code. The leverage is in supervision. Less time coding. More time specifying and verifying. Before code: make the AI restate what it thinks you want. After code: have a different AI explain what was built and how it could fail.

A hobbyist tried pairing his DJI Romo robot vacuum with a PlayStation controller. Instead, he accessed nearly 7,000 devices worldwide.... including live camera feeds inside homes. Augmented curiosity is a new category of risk.

AI makes answers cheap. That makes judgment expensive. More insight, less noise → decision.substack.com #DecisionIntelligence #AILeadership #FutureOfWork

Before asking for more data, ask: What would it take to change my mind? No commitment, no clarity. No clarity, no decision. Sharpen your decision-making skills here: decisiongptcourse.com #DecisionIntelligence #Leadership #AI

How many of these 16 #AI #headlines did you catch recently? For the curious, my newsletter digs into each one: decision.substack.com 🗞️ 1 Lunar New Year becomes launchpad for China’s AI price war 🗞️ 2 The AI cost-cutting trap: why “time saved” may be the wrong metric

Most people think the barrier to automation is technical skill. It isn't. The real barrier is knowing what you want badly enough to bother building it. AI is wasted on people who don't know how to want. Let me explain: Mhttps://bit.ly/quaesita_startvibing

One reassuring thing about teaching leaders to work with AI: They've been building AI skills their whole careers... without realizing it. Judgment, context, and institutional memory don’t disappear just because the tools change. They become more valuable. decision.substack.com

What’s the most valuable skill in the AI era? ⛔ It’s not coding. ⛔ It’s not prompt tricks. ⛔ It’s not “keeping up with the latest model.” 💪 It’s judgment. Whenever a new #AI capability drops, debate centers on how powerful it is. That's the wrong question. Right question: bit.ly/quaesita_spe...