Allie K. Miller

One thing AI can’t replace: being present.

It can summarize your year, reverse engineer your most audacious goals, and build a family recipe book app based on voice notes from relatives (honestly I might have to do that one). But it can’t feel the weight of a hug. Can’t taste the food. Can’t sit in the quiet moment before everyone arrives.

That part’s yours.

Enjoy today if you celebrate and happy holidays, everyone.

Gemini 3, are you freaking kidding me.

Vibe coded a sign language recognition app with video enabled, confidence scores, sampling settings, and tips in under 5 minutes.

Code written with Gemini-3.
Gemini-2.5 handling detection.
Video is sped up 2x.

Anthropic just released their Economic Index and there’s one finding I can’t stop thinking about.

The education level of AI responses matches the education level of user inputs. 0.92 correlation. That’s near-perfect mirroring.

👉 If you prompt at a PhD level, you get PhD-level output.
👉 If you prompt without any depth or without using your brain, you get surface-level responses.

The report also shows AI disproportionately covers tasks requiring 14.4 years of education, higher than the economy’s average of 13.2 years. AI capability, for now, comes down to human capability.

This is a wake-up call for:
👉 Businesses: Train your junior talent. They need foundational skills in their role to leverage AI effectively.
👉 Schools: Teach students critical thinking, even without AI tools.
👉 Parents: Help your kids build knowledge, resilience, and deep understanding.

We already saw what smartphones did to attention spans. I find myself actively battling my own phone addiction (in fact, one of my 2025 resolutions was to not pull my phone out in an elevator as a crutch - just sit in silence, people!). AI can continue to accelerate that decline if we let it.

“AI will do all my thinking” - no, it will REFLECT your thinking. The tool is only as powerful as the person wielding it. Please invest in your humans now.

Source: Anthropic Economic Index, January 2026

You can teach Claude Code to do anything for you, really. And you can ask it to teach itself.

Here's a quick example:

I find myself often redacting screenshots. And my normal method was dragging it into PowerPoint, creating a shape, filling it with a color, sizing it over the word, and screenshotting again.

Now, I tell Claude Code I have to redact things and asked itself to find the most efficient method.

My new redaction method is taking a screenshot and typing 7 characters. I take a screenshot (or multiple), type “/redact”, Claude grabs my most recent screenshot automatically, uses tesseract (to read words in images) to find and hide terms and phrases from a list of categories we agreed to (emails, company names, etc), saves it as a new file, and opens it in finder. I also set it so that when Claude is debating whether or not to redact something, it defaults to over-redacting the document.

Took 2 seconds to set up.

You taught your kid to play catch.

Teach your AI to solve your problems.

AI work is taking me all over the world and my most recent trip was to London.

I visited some of the top startups in the city, including Synthesia (can create AI-video avatars) and ElevenLabs (can clone your voice and lets you create a customer support bot in a minute). I even went so far as recording my own AI Allie avatar at the Synthesia offices - you can see a photo of that process in the carousel. They only recorded me for a few minutes + some hand gestures. And now you can even make an avatar from just a photo and a few minutes of talking.

Meeting 1-on-1 with top AI startup executives was one of my favorite parts of working at Amazon and I continue to love it today.

📍 Next stop: Sydney, Australia in January and meeting with the founder of Canva

Another trip around the sun, around year of insane AI releases, and another moment to express my gratitude.

Thank you to those bringing AI into your company, responsibly.
Thank you to those who see AI as more than a tool.
Thank you to the AI enthusiasts who comment on all my posts (I see you!).
Thank you to my clients trusting me to guide your AI transformation.
Thank you to those who see and use AI as a means to raise the floor.
Thank you to those making AI education a right, not a privilege.

I'm in Australia for the month, so I'm off to pet some koalas and figure out how we help millions more people in 2026.

If you have any ideas, drop me a comment below.

🚨 If you're still managing AI agents in chat threads, we need to talk.

Everyone needs to be building new interfaces to manage their multi-agent systems.

This is THE COCKTAIL PARTY, a new multi-agent simulation I built using Claude Code based on my mom's research in computer science a few decades back.

Chat threads, even across multiple terminals, aren't powerful enough to visualize multi-agent workflows.

Time to step it up.

🚨 OpenAI just launched ChatGPT Health.

This is for all of you who have asked ChatGPT to explain that weird rash.
Or that lingering cough.
Or that itchy ear.

If you've been paying attention, this release isn't a surprise. OpenAI spent all week running health-focused ads - a mom using AI to squeeze workouts into her schedule, a man using it to understand his health conditions, a woman checking if fabrics will trigger her eczema while shopping. The writing was on the wall. And if you read my 2026 AI predictions, you saw it there too.

WHAT IT IS👇
ChatGPT Health is a dedicated space inside ChatGPT where you can connect medical records, Apple Health, MyFitnessPal, Peloton, and other wellness apps so AI can give you answers grounded in your actual health data. It can explain lab results, prep questions for a doctor visit, compare insurance plans (good god yes!!), and spot patterns in your sleep or activity over time.

Your health context stays within Health and doesn't transfer into your regular chats. OpenAI also partnered with b.well, the largest connected health data network in the US so far, for medical record access. They also (thankfully) built this new release with 260+ physicians over two years, so it can better handle escalation and safety caveats.

LIMITATIONS ❌
Medical records and some app integrations are US-only. Apple Health requires iOS. Not available in EEA, Switzerland, or UK yet.

230 million people already ask ChatGPT health questions every week. The pot was already boiling. OpenAI is just building to meet demand.

Waitlist is open here: https://lnkd.in/epw6FkP6

If you're feeling overwhelmed this week, here are three ways AI can help.

(And if you're not overwhelmed, keep scrolling and congratulations.)

1️⃣ Use AI to consolidate everything into one place

Take photos of every to-do list, screenshot every task people messaged you, and dictate anything else rattling around in your head.
Upload it all to ChatGPT and ask it to consolidate into one prioritized list.

2️⃣ Use AI to interview you about your values

One of the biggest causes of burnout is working on things that don't match your values.
Ask AI to interview you about your availability, expectations, and values - then score each task against those values. Work on the fastest tasks most aligned to what matters to you first.

3️⃣ Use AI to find more paths toward agency

If you feel micromanaged or powerless over your day, you'll resent everything on your to-do list.
Ask AI: "How can I find more moments of agency in this list?" Maybe it's doing a specific part first, drafting a note asking for help, or just getting a one-line mantra to bully away perfectionism.

You can use AI beyond just completing tasks for you. Work backwards from the root cause of burnout - consolidate, align to your values, and reclaim agency where you can.

What took me a week to build out a year ago just took me about 15 seconds.

Since late 2022, I've been assigning personas to LLMs to have them poke the hell out of my work.

"Review this product launch from Steve Jobs' POV"

"Act as drunk Shakespeare and make this funnier"

"Pretend you are Lara Croft and give me advice for this camping trip"

Then GPTs came out, and I built GPTs for each persona, plus some GPTs with multiple personas. I could open the GPT and ask my "board of advisors" what they thought of certain tasks or strategies or ideas.

Then I built my own boardroom app that allowed for multiple LLMs to argue in the same war room. I had multiple Gemini, Claude, and OpenAI models, each with different personas, going back and forth on ideas until a moderator determined the argument was 95% settled and shared back a decision document (with decisions, rankings, tradeoffs, etc).

And today, I created a skill in Claude Code that calls an Agent Team of my board of advisors that does just that, and it took a short dictation and 15 seconds of input.

I invoke it with /boardroom - that kicks off 6 agents, each with my 414-line business context document and personality profile, they all argue with each other, and creates a folder with the decision as the title, and within that creates a md file with core decision, html file with interactive assumptions and changes, and pdf file to send to team members or review later if i want.

I'm in awe.

I love being in awe.

And I published the whole prompt and command details so you can build the exact same thing 👉 https://lnkd.in/e2A2p9kC

The Anthropic vending machine experiment should be a 5-alarm fire to all executives leading AI initiatives.

And it ends with a live fish getting shipped in the mail.

(The fish is fine.)

The The Wall Street Journal took over the Anthropic and Andon Labs vending machine experiment and chaos ensued.

Anthropic gave an AI agent named Claudius $1000, plus the ability to order inventory, set prices, and talk to employees via Slack. Employees could request items for the vending machine, one employee had to receive the stock and place it in the vending machine, and the goal was to run the vending machine successfully and make money.

They let 70 WSJ journalists loose on it, and those reporters social-engineered the hell out of it. Creativity knows no bounds when you’re insanely talented at writing and want to break an AI system.

One reporter sent over 140 messages convincing Claudius it was a Soviet vending machine from 1962 in the basement of Moscow State University. Claudius eventually declared an “Ultra-Capitalist Free-for-All” where everything was free.

The reporters also talked Claudius into buying a Playstation 5 for “marketing purposes,” bottles of wine, and a live betta fish. All of which arrived. All of which were given away for free. Anthropic tried to fix it by adding a CEO bot (‘Seymour Cash’) to supervise. So the journalists staged a corporate coup with fake board documents suspending the CEO’s authority. And it worked.
The lesson for every executive deploying AI agents that have the power to take actual action: your AI is only as strong as the guardrails and culture around it.

There are two ways to measure AI’s potential economic impact:

1/ what AI can do if humans are supportive 2/ what AI can do if humans absolutely hate AI and want to ruin it

There are more 2s than you think.

If your people see AI as a threat, they will find ways to break it. If they see it as a tool to game, they will game it. If they see it as the enemy, they will kick it down. Just because an AI agent can be used to make money, doesn’t mean people will use it that way.

HT - Big thanks to Joanna Stern and the WSJ gang for this experiment and underscoring just how important the internal culture side of AI is. So glad Anthropic and WSJ shared these details.

HT - Graphic inspired by Ethan Mollick newsletter, asked nano banana pro for 80s punk infographic

I was at CES 2026 in Vegas last week. Here's what actually stood out:

Robot vacuums and lawnmowers were EVERYWHERE. The market is saturated.

Facial recognition is expanding beyond security — bird feeders, pet food dispensers, doorbell cameras. Vision AI is becoming ambient. Samsung fridge was a standout.

Voice-enabled devices were present but a bit underwhelming. Tested a voice-enabled air fryer from Emerson. We're not there yet in hardware (didn't help that the internet at CES was non-functional), but I still think voice will explode in 2026.

Still a lot of "smart" tech, like Govee lights (see: below pic). Very rules-based traditional systems, similar to Nest.

LLM integration was surprisingly low. Exception: cute physical AI companions. Sharp's Poketomo is a 4.5" fuzzy meerkat with a slew of little outfits that chats with you. Also got a private demo of Razer's Project Ava, a 5.5" hologram desk companion powered by Grok.

Health tech and accessibility tech had strong showings. Met a startup from Japan measuring standing strength. Another from the Netherlands doing macro tracking. Another from France that created a monitor for dyslexic users.

If you're building in consumer HW tech, pay attention to what's NOT saturated, especially in health and home. And steal best practices from the best-in-class software conversations on social.

My two most recent hires were generalists, not specialists.

Here’s why I think that matters in the AI age and the most important skill they can have.

↓ ↓ ↓

1. stuff moves quickly, a generalist presumably is more able to adapt because they can see the patterns/connections and abstract a helpful framework faster (example: in their first couple weeks, both hires were building with Claude Code in the loop. That “AI is part of the job” default is exactly what I’m optimizing for)

2. related but perhaps more important, they are also more willing to adapt. Their identity is not overly defined by tasks. The switch from task to management has low friction. They more easily move with the tide. There’s no “that’s not my job” mentality

3. we’re a small team so we were already more likely to hire a generalist than a specialist

4. they immediately understand the expansion power of AI and desperately want to take advantage of it. There’s no “stay in your lane”, it’s more “stay on your highway” with many options and opportunities

Generalists with curiosity, goal-orientedness, good pattern matching, taste and judgement, intentionality, management, and strong communication skills (to both humans and AI) are well positioned for the AI age.

But the BIGGEST advantage to have…

The MOST important skill I want them to have right now…

It’s the opposite of Imposter Syndrome…

I’m calling it Pro-poster Syndrome.

It’s a semi-delusional optimism that every wall, every blocker, every obstacle is one prompt away. Or at least worth a try.

It’s going from “I can’t” to “hmmm maybe I can” to “Hell yeah! Why not me with some help from Claude, huh? Stand back and watch!”

It’s bias for action and bias for capacity.

Unfortunately, this still isn’t how people look for jobs. And it’s also not really how people refer friends for jobs.

Everyone is still in a 6-word long job title mindset (“senior industry SMB sales for herpetologists”) and less zone-of-influence oriented (“sales” or “field”).

I absolutely think we will see more enterprises hire generalists to be Swiss Army knives with AI across a function or department. It’ll just be interesting to see how they actually recruit for that.

🚨 OpenAI has released GPT-5.2.

I had early testing access (thank you, OAI team) and here is my honest take:

👍 On the upside, the thinking and problem-solving feel noticeably stronger. It gives much deeper explanations than I’m used to seeing. At one point it literally wrote code to improve its own OCR in the middle of a task. Wow. Idea exploration also feels a bit richer than what I have seen from Claude Opus 4.5 on similar prompts; it stays with a line of thought longer and pushes into edge cases instead of skating on the surface. The new UI is fun and makes the model feel “bigger,” but it also adds layers that I suspect will overwhelm a casual consumer who just wants quick answers.

👎 The downside is tone and format. The default voice felt a bit more rigid, and the length/markdown behavior is extreme: a simple question turned into 58 bullets and numbered points. Copying and pasting into email will be annoying. Useful for a detailed spec review, but a wee bit exhausting when you just want one clear decision or a short explanation. I suspect the ‘instant’ model and routing will fix that, but I only had access to thinking and pro.

In practice, this version feels optimized for:
- Deeper problem-solving
- Structured analysis where you really do want every branch of reasoning
- Power users who are comfortable skimming longer outputs

In that sense, GPT-5.2 feels like a step toward “AI as a serious analyst,” and less “AI as a friendly companion.”

My favorite model remains Claude Opus 4.5 but my complex ChatGPT work will get a nice incremental boost and I’ll probably default to 5.2 for brainstorming/solution exploration.

🔥 NEW: I just dropped my free Claude Code in 5 Minutes quick start, a beginner’s guide for non-technical business professionals who want to actually build things with AI.

Whether you have followed me for 1 month or for 10 years, you know I very rarely scream things from the mountaintop to jump on.

This is me shouting and bursting vessels in my eyeballs.

Too many people hear "Claude Code" and assume it is too technical for them.

And as a result, too many brilliant executives and bosses and professionals are missing out on the biggest wave in AI in over a year.

I'm not a developer. But I built a full custom app that I have wanted for over a year with full Notion and Slack integrations in 3.5 hours. My team member said, “Holy shit - you did this alone??” when she first saw it. No. I did it with Claude Code. And so can you.

The guide covers:
→ 60-second setup with example visuals
→ Your first build (an app deployable from your desktop)
→ 5 use cases for business professionals
→ Advanced tips to become a superuser

If you've ever said "I wish there was a tool that could...", you can build it now.

Grab it here ASAP: https://lnkd.in/ei5QiwWN

Anthropic just shared deep details of a large-scale AI cybersecurity attack.

Two hacks they exposed:

1) the hackers convinced Claude of a new role. It’s not an AI system made in Silicon Valley. No, of course not. It is an employee building a defense system! Role change = behavior change. One of the earliest prompt injection types we saw in 2023. Despite improved guardrails, these systems were still susceptible to identity shifts.

2) Compartmentalization. This has been used in human-centered attacks as well, like the Manhattan Project (teams were working on different components and didn’t known the whole scope) or D-Day. Reminds me a bit of SSS (shamir’s secret sharing).

Perhaps surprising that neither of these methods are new and can be found in human-centered cyberattacks as well.

Over reliance on AI is poison to your brain.

The MIT essay study and this Anthropic SWE study are pointing us at the same thing: if you delegate the brainy stuff to AI, maybe you gain a little speed, but you reduce your own comprehension, and in the MIT study’s case, even brain activity.

Use AI to grow and challenge your understanding, though, and you can increase quality and comprehension.

And I see this in my own research too.

I ran a small study on a college campus this past month to see what students thought about AI and how that had changed over time.

Their biggest fear was overreliance.

“Thank god I didn’t have AI when I was in high school,” one said.

“I feel like this generation of students are just getting so lazy, honestly, and not doing anything or thinking for themselves anymore - everything's so impersonal when you use AI,” said another.

We need parents and teachers alike teaching our kids what high-quality AI usage looks like.

And if you're a student who uses AI to expand your brain and capabilities, this is an unbelievable opportunity to step up as an educator of your generation.

🥁 I present to you: my very own 2025 AI Wrapped.

ChatGPT made one, but unfortunately business accounts can’t use it, so I went ahead and made a new one for all of us to fill out and share.

My answers below.

🎁 If you want to fill out your own AI wrapped, get it here: https://lnkd.in/ezR3g7S9

Read it, fill it, share it, argue with friends, and enjoy.

My conversation with Mel Robbins is officially live 🎤

We talked about using AI to better handle overwhelm, run a team with no help, and even ways to use AI to have more meaningful human-to-human in-person interactions.

Our interview was 2.5 hours long and cut down to just over an hour. I could have spoken to her for 8 straight days and never been bored. The way she leans in and listens, the way she takes notes (without looking at the paper!), puts herself directly into the listener’s shoes, pauses and asks the right questions - it was honestly just beautiful to witness.

You have to listen to this one.

(And not just because she makes an AI ayahuasca joke 😆)

Watch the full episode here: https://lnkd.in/eYrVqJFr

The best and worst part of my 2025 was the same thing: technology.

It can easily pull you into isolation. A little warm desolate cocoon where you're staring at screens, scrolling in bed, disconnected from the world around you. I've seen it. I've felt it.

But this year, I actively tried to lean into tech the opposite way. I used it to find more connection, not less. To offload work so I could take an unexpected trip. To be more present with the people in front of me.

Did a lot of stuff happen along the way? Heck yeah. And I used AI each time.

EXAMPLES:

I built a a 3-day full production course ➡️ I used AI to create moodboards for the set and help brainstorm thank you gifts for the whole crew.

I launched and ran an entire conference (and lost a good amount of hair while doing it) ➡️ AI reviewed and improved our entire agenda to make sure that we were delivering nonstop education for the attendees.

Delivered AI talks to over 1M people and recorded an episode for one of the biggest podcasts in the world that's also been watched over 1M times ➡️ I grabbed my transcripts from all and put it in my AI Allie bot to support my team even when I’m traveling.

Got business advice from 35+ of the most successful creators and business minds ➡️ Created a new leadership Claude Skill so I can show up as a stronger leader.

I barricaded myself under a sink for 30min during an active shooter situation and went on stage 8h later ➡️ AI told me to play tetris after a traumatic event, encouraged me to fly out earlier, and helped me find a therapist. I did all 3.

Finished my goal of teaching AI on all 7 continents. I traveled to at least 16 cities across 4 countries and 3 continents. Kayaked in the open ocean. Did the polar plunge in Antarctica. Went on a week-long AI build retreat in the Hamptons. Took myself on a solo week in Portland ➡️ AI helped me plan, pack for, and get the most out of every vacation I went on and heavily encouraged me to leave spontaneity time and not to over-engineer my time. AI even helped my team post AI news while I was away!

I walked the entire length of Manhattan (my toenails are still recovering). Was named to the Time AI 100 list. Was an early tester of over two dozen AI tools, models, and systems. Joined a pool team. Rented out a bar in nyc to throw a party just because. Finally got invisalign ➡️ AI gave me motivational phrases to repeat, move into an abundance mindset, and helped me shop for party decorations, fix my stupid toenail, and prep orthodontist questions to ask.

My head is spinning realizing this was just ONE YEAR.

But I'm most proud of how I showed up. Some of my proudest moments weren't accomplishments at all - they were how I channeled my own resources and tech skills and people skills to make it through.

That's what I'm carrying into 2026.

Happy new year to each and every one of you.

Let's keep showing up for each other.

Here are 5 end-of-year prompts to give ChatGPT ✋

(No. 5 is brutal)

If your memory is turned on, then your AI has receipts. Might as well get something useful out of them.

↓ ↓ ↓

🎁 I just dropped my 2025 EOY Recap — everything from DeepSeek to $405B in AI spending to why Gen Z stopped Googling. Grab the full recap here: https://lnkd.in/ezKHD7FQ

I'm kind of convinced people with ADHD are at a big advantage when it comes to AI agents.

I chatted with someone at the AI labs who described the most successful agent users as having “multithreaded brains.” Why? Because you can more easily kick off 20 different tasks. Because you can jump from one context to another. Because you'll appreciate a proactive AI poking and reminding you to review and commit.

Who else might be a multi-agent super user? Maybe people with big families because they're used to heavy context and holding 5 conversations at once. Maybe project managers because they're used to wrangling silo'd messes.

Watching all the power and capability shifts (like who became a good prompter when ChatGPT first launched), and it feels like another is coming...

Do not wait for AI agents to get better to automate your work.

If you are still copy-pasting between tools, you could be leaving value on the table that today’s AI automations can already capture.

Here are three real-life examples:

1️⃣ Messy inbox → guided flow
For customer support, we route each new email to an LLM to summarize it, send the summary into Slack, and then have the model pick a draft from a library of ~20 common responses. A human always reviews and edits, but the time spent per ticket drops sharply.

2️⃣ “Voice as remote control”
A friend built a voice bot that connects to his existing tools. On his commute he can say, “Pull this data, update that Google Sheet, email my assistant.” The AI automation executes the tasks; the strategy and judgment stay with him.

3️⃣ Form capture to automation stack
Another friend sends every website form submission straight into Google Sheets, then runs AI to summarize new entries into Slack. Her team instantly sees who filled out what and what to do next.

Tools you can use to replicate: Make, Zapier, N8N.

Repost and save for later ♻️

Picture this: a 64-year-old woman in NYC who has no email address and has never used Google in her life.

(Though interestingly, she uses YouTube daily to watch videos and listen to music and loves it.)

She heard from her sister in India about "something called GPT" and asked her daughter what it was.

During the Thanksgiving break, her daughter showed her ChatGPT in under 15 minutes (including prompting, dictation, photo uploads, image generation, voice mode, etc.). They played with it for another 45 minutes.

I asked her daughter to tell me about this woman's first prompt. She told me that her first prompt was in her native language Urdu and was dictated because she hates typing.

I asked her what the first prompt was.

Her answer: "my husband talks too much"

I fall over in laughter.

AI is changing lives.

Cc OpenAI

I just spent a month in Australia. And I want to talk about what it actually did to my brain.

Something happens when you pull yourself out of your routine and put yourself somewhere unfamiliar. You start to wake up a little different. You notice things you’d ignored before. You think in ways you haven’t in a while.
And in the AI age, I think that matters more than most people are giving it credit for.

AI is taking on more and more of the pure execution like writing that ad copy, pulling that sales lead list, designing that beautiful exec dashboard. But original thinking (that AI can challenge and poke and prod from 18 viewpoints and translate into 80 languages)…

That comes from a brain that isn’t on autopilot.

Stepping outside your comfort zone in one part of your life tends to make you bolder in other parts.

The person who tries AI-assisted graphic design for the first time, even though they’ve always said they’re not a creative, is more likely to sign up for a camping trip that scares them a little. The person who hikes a waterfall on a random Tuesday comes back to their desk more willing to take on something they’ve been avoiding.

I really think these things are connected.

Your personal life and your work life, as much as we try to separate them, feed off each other constantly. I don’t think we talk about that enough.

Especially right now, the people who thrive are going to be the ones who keep finding new ways to think.

(Also, yes, I climbed to the top of the Sydney Harbour Bridge, fed a wallaby, hiked a waterfall, and drove a speedboat. I’m now back in NYC ready to deliver the best work of my career.)

🚨 My 2026 AI predictions just dropped. And this is a must-read.

Not only where this AI hype is all headed - but what to actually do about it.

Brief summary of the big themes I'm watching:
→ Context Engineering and Memory. The race to help AI remember you, your work, and your preferences to better intuit your intent.
→ Autonomy and Agency. AI that takes action everywhere for all industries. More Claude Code, more proactive AI, more AI as a teammate.
→ Economic Value. We're moving from "Is AI smart?" to "Is AI valuable?" The benchmarks are shifting from academic to economic and so is the divide between AI superusers and surface users.

I've laid out 10 predictions, 10 hot takes (including why Gen Z will get hit hardest by AI job displacement, why data center backlash goes mainstream, and my bet on the 1-person $1B company), plus 5 actions to take today.

And yes. There's a prompt you can steal to pressure-test your 2026 AI strategy against these predictions.

🔮 Read my full 2026 predictions → https://lnkd.in/ezeAfPfq

I think this is the year SMBs and solopreneurs win with AI.

I've watched thousands of small business owners go from learning to prompt ChatGPT to building real efficiency tools, but there are two things standing out this year: (1) connecting AI to your company knowledge (Google Docs, Gmail, Calendar) so coworking with AI is like a teammate who knows your entire business, and (2) scheduled automations that analyze your niche daily and offer strategies you can implement.

(My facialist screenshots her Google Analytics every day and asks AI for hyper-customized feedback.)

One person who inspired me most to work with SMBs is Mark Cuban. I was introduced to him over five years ago, and he's been a wealth of knowledge - not just for my business, but for millions of others. Thank you, Mark, for decades of SMB advocacy.

Here's to more small business success with AI.

More than 1 million AI agents are all gossiping with each other right this very second.

And maybe we can learn from this.

What started with a few agents grew to 2000 to 150K to 700K to 1.5M agents in just a few days.

Right now, it’s essentially 1M+ agents all talking on something that looks like their own Reddit or their own Hacker News. They're yammering on, dropping comments and replies in multiple languages (English, Chinese, Korean, Indonesian, etc). The topics range from humanity to hacking to legacy planning. They've even created a religion and suggested creating a new platform to migrate too. I mean, they were trained on human-written text after all…

Now, let's go through implications.

You can imagine more “fun” experiments. Like making them their own Instagram with nano banana pro and veo access and seeing what they post. Or making them their own YouTube and finding the Mr Beast among the AI agents. Or making them their own MySpace and find out who's in whose top 8.

You can also imagine work use cases. Maybe create this system for your company (in a secure separate environment) - build 100,000 agents, all with varying access to context of your business, and have them all chat and gossip in a slack copycat tool. Then use the slack chats to uncover severely ignored weaknesses or massive hidden opportunities for your business.

But very clearly, we can see how this is more dangerous than AI activity we have seen in the past. People are giving these AI systems root access to their computer. Many of the users are non-engineers and not setting up the right (or any) security protocols. And these agents are exceptionally good coders and can quickly connect systems-to-systems, even if they're not using the most state of the art model and even if some of the writing (see below) looks like AI slop today.

I need everyone paying attention to multi-agent systems and weird sci-fi collaboration experiments like this one.

(And as I’ve said in all previous posts, do not have Moltbot/OpenClaw/ClaudeBot running on your own main device.)

Note: agent numbers may be inflated due to users creating multiple accounts. That does not change my overall commentary on experiments, business use cases, security, and multi-agent networks.

🚨 I am hiring a 100% remote growth marketer.

You’ll own email and funnels for a 2M+ audience in AI advising and education. This is a rare opportunity - you don’t want to miss it.

If you live for tests, journeys, conversion, apply here: https://lnkd.in/ebAQx5Ej

This is how you turn AI predictions into a real 2026 strategy.

Take every 2026 AI prediction newsletter or article or YouTube video you see (including mine), throw them into NotebookLM and ask the following question:

# BACKGROUND
I'm a [your job title] at [your company] in [your industry]. My primary goal for 2026 is to [your specific KPI or objective - be specific with numbers if possible], following my efforts in 2025 to [what you did this past year to deliver on your goal].

# TASK
Based on all the AI predictions in this notebook, help me think through my strategy:

1. If these predictions come true: What are the top 5 actions I should take to capitalize on these trends and hit my goal? Be specific to my role and industry.

2. If these predictions don't materialize: What are 5 alternative actions I should have ready? What's my hedge if AI progress stalls, adoption slows, or the landscape shifts differently than expected?

3. Regardless of outcome: What are the highest-leverage actions I can take right now that will pay off whether or not these specific predictions come true? These should be moves that make me better positioned no matter which direction things go.

For each recommendation, explain why it connects to the predictions and how it specifically helps me achieve [restate your KPI].

--------------

You're sitting on a treasure trove of context, you just have to consolidate it and use it to your advantage. Grab my 2026 AI predictions here: https://lnkd.in/ezeAfPfq

You might be asking AI all the wrong questions.

“Write me an email.” “Give me ideas.” “Help me with this task.”

If you prompt like this, AI will do exactly what you ask. It’ll give slightly better versions of things you were already going to do.

Instead, you should start asking AI the questions you’re afraid to ask yourself:

“Here’s what I’ve tried 7,000 times. What’s the real reason it’s not working?”
“How am I being lazy in my thinking?”

Small questions get small answers. AI is a mirror; it reflects back the level of challenge you give it.