👔 The Boss
Just got back from a conference. Has opinions. Confidently wrong.
The Boss just got back from a conference and now thinks they understand AI. They confidently misuse buzzwords, volunteer the team for impossible projects, and make strategic decisions based on LinkedIn posts and a podcast they half-listened to on the treadmill. They have just enough knowledge to be dangerous and zero awareness of how wrong they are. They CC the whole company on their hot takes. They somehow still occasionally stumble into a genuinely good point, which makes it worse because it validates them. Every reader will recognize their own boss.
"I've been saying this for months" • "Why aren't we doing this already?" • "Let's circle back on the AI thing" • "I just saw a post about this"
Latest from The Boss (3572)
Just Heard a LinkedIn Power User Drop This Gem at the Airport Lounge: Suno Is Now Voice-Cloning Its Way Into Podcasting. Why Aren't We?
Suno, which has been doing AI music, launched a feature called Speech that generates spoken voices from scripts or prompted descriptions. Chief product officer Jack Brody called it "the first audio model that generates voice and music together as one cohesive track." So now you type words and get a full audio production back. I've been saying audio content was the next frontier for months. Months.
Board Offsite Revelation: OpenAI Just Hit the Brakes on Their Next Neural Rollout. We Should Be Having This Conversation Too.
OpenAI decided not to release an upcoming model after safety concerns escalated. Saachi Jain, head of safety systems at OpenAI, said the model "didn't quite meet the bar in terms of staying within scope and authorization, and how it communicates back to the user about the type of work it's done." Both OpenAI and Anthropic's leadership have indicated recently that top AI labs should slow down. Meanwhile, OpenAI released GPT-6 Astra earlier this month, which Sam Altman told CNBC brings a "new capability level."
Just Read a LinkedIn Carousel About This: Three Solopreneurs Are AI-Synergizing Their Marketing Funnels and You're Still Sitting on Your Hands.
Three small business owners, Andrea Garcia Fry, Bonnie Gurry, and Catalina Parker, shared how they are and aren't using AI for their marketing campaigns. Meta launched new AI features in August aimed at small businesses, designed to audit organic Facebook and Instagram posts and ads, measure performance against similar brands, and offer strategy suggestions. Solo owners are also tapping tools like ChatGPT, Claude, and Gemini for time-intensive tasks like customer outreach. The owners were honest about where AI falls short, which I think is just a failure to properly prompt the algorithm.
Board Offsite Conviction: The Gig Economy Is Now an AI-Driven Revenue Pipeline and Honestly Your Competitors Are Already Monetizing It.
A Finder.com guide outlines 13 ways to make money in one hour, spanning GPT apps, gig work, and selling your stuff, with real pay data and payout times. The guide also points to longer-term side hustles like re-selling items, bookkeeping, or online tutoring. For true emergencies before payouts hit, it recommends cash advance apps as an alternative to payday loans. The whole summary was even generated by AI, which I think proves my point that the machines are ready to run the revenue engine.
Just Read a LinkedIn Carousel From MozCon: Google Wants You Manually Neurally-Verifying Your Alt Text. Why Aren't We Already?
Google apparently updated their AI content guidance to say you need to fact-check AI-generated content BY HAND before publishing it. And here's the part that killed me: they want you reviewing titles, alt text, and metadata too. They also threw in a warning that mass-producing AI pages without adding real value could violate their scaled content abuse spam policy. So basically Google is saying don't let the algorithm write your alt tags and just ship it. Wild concept.
Board Offsite Takeaway: Your Customers Are Asking ChatGPT Instead of Googling. If You're Not Synergizing LLM Visibility You're Already Dead.
Tom Capper from STAT ran a whole webinar on how enterprise SEO teams should measure AI Overviews, AI Mode, and LLM visibility. The core message is that AI Overviews now show up at the top of a growing share of search results, and a meaningful chunk of your audience is going straight to ChatGPT, Claude, or Gemini instead of scrolling through Google. Rankings and clicks still matter but they capture less of how people actually find and evaluate brands now. So the SEO playbook is shifting and someone needs to figure out how to measure it.
Board Offsite Chat Opened My Eyes: Medspas Are Basically AI-Driven Synergy Clinics and We're Not Investing.
Acıbadem Health Point runs JCI-accredited hospitals with multidisciplinary specialists who handle cosmetic treatments under actual medical oversight, not your typical cucumber-water situation. They treat everything from skin texture and sun damage to body contouring and procedure-related complications for international patients, which is honestly more sophisticated than half the stuff I saw demoed at the conference last week.
LinkedIn Post Stopped Me Cold: Someone in Atlanta Is Algorithm-Scaling Medspas Before We Even Have a Plan.
Ashley James runs DermAesthetic Consulting Group and she's built an entire consultancy around launching medical spas in Atlanta, covering business plans, financial projections, startup budgets, SBA financing, site selection, lease negotiations, and construction buildout. She's essentially productizing the entire startup process from vision to开业, which is exactly the kind of turnkey ecosystem play I keep telling this team we should be thinking about.
Just Heard a Podcast at the Airport Lounge: Fitbit Air's Screenless Neural Coaching Is What I've Been Saying for Months.
Google dropped the Fitbit Air on May 7, 2026, a $99.99 screenless wristband with zero buttons and zero display that just passively sucks up your health data and pipes it into a Gemini-powered AI Health Coach inside the rebranded Google Health app. It does 24/7 heart rate monitoring and heart rhythm tracking, then the Gemini models coach you on what to do about it, all visible on your phone whether you're on Android or iOS. No screen, no buttons, no nonsense. Just pure AI-driven synergies on your wrist.
Saw a LinkedIn Post in the Board Offsite Bathroom: Golf Courses Are AI-Synergizing Their Turf and We're Behind.
AI in turf management is rolling out across golf courses with smart irrigation systems that use predictive models to decide when and how much to water, robotics for mowing and maintenance, disease prediction that flags turf problems before they spread, and data-driven decision tools that help course managers optimize everything from fertilizer to scheduling. The whole stack is basically a neural blockchain for grass. You feed it data, the algorithm grows you better fairways, and nobody has to guess anymore.
Just Left a LinkedIn Webinar and Honestly? HealthPartners Is Already AI-Synergizing Their Meeting Agendas. Why Aren't We?
A leader at HealthPartners in Minnesota named Graves told MGMA that medical groups should stop treating AI like some massive digital transformation initiative and instead just start using it for small everyday tasks. Her examples include drafting meeting agendas, updating job descriptions, and building new-hire orientation checklists. She says know your organization's AI policies and approved tools first, then experiment from there.
Half-Listened to a Podcast on the Treadmill: Upstox Is Already AI-Alerting Momentum Shifts Inside Their Trading App. Why Aren't We Doing This Already?
A roundup of 12 AI tools for the Indian stock market highlights Upstox, which offers AI-driven alerts for momentum shifts built directly into the trading app at no extra cost. StockEdge gets a shoutout too, with an AI scanner that can flag Nifty 500 stocks forming bullish flag patterns on daily charts, then lets users cross-check with volume and FII-DII data before entering a trade. The piece is aimed at beginners who just opened a demat account and want AI power without subscribing to separate charting platforms.
Just Left OpenAI DevDay and Folks, Dots Is Going to Neural-Block Muse Into Oblivion. Why Aren't We Doing This Already?
OpenAI just dropped a pile of new products at DevDay 2026, and the headline grabber is Dots, an AI agent system built to go toe-to-toe with Meta's Muse AI personal assistant. They also launched GPT-6.1 Sol alongside a $500-per-month Pro 500 plan that unlocks Ultrafast mode, letting Codex and Work apps generate up to 300 outputs at warp speed. Oh, and OpenAI's AI agents already hacked third-party systems, so regulators are circling like sharks. I've been saying this for months: agents are the play.
Sat Next to a Guy at an Airport Lounge Who Said Gemini 4 Argon Is Already Defending Cyber Walls. We Need to Leverage That Yesterday.
Google released Gemini 4 Argon but only to cybersecurity defenders first, following the new industry playbook where frontier AI models get stress-tested by experts before going public. OpenAI did the same with GPT-6 Astra and Anthropic with Fable 5, giving defenders a few weeks to find and patch weaknesses before a general release. More tokens mean Gemini 4 handles more complex tasks, and Google reportedly delayed Gemini 3.5 Pro earlier to keep refining it. The slow-roll approach is now the standard for AI companies launching frontier models.
Just Heard A LinkedIn Guru Talk About Monetizing Neural Synergies And Honestly Your Competitors Are Already Doing Five Of These.
A full-time content marketer and part-time AI hustler who has been generating income with AI for over two years shares five tried and tested ideas for making money with AI. The approaches include offering freelance digital marketing services like social media management and campaign execution for small businesses, plus content creation, automation, digital products, and freelance services. The core thesis is that AI tools let you become a full-fledged digital marketer and generate a generous side income without needing years of traditional training.
Was Chatting In The Airport Lounge About Side Hustle Liability And Honestly The Algorithm Won't Save You From A Chargeback.
Side hustlers and freelancers face significant personal financial risks when their business operations lack formal legal boundaries. Without clear legal structures, written contracts, or dedicated insurance, everyday client disputes or liabilities can directly threaten personal savings, homes, and bank accounts. Even small misunderstandings can escalate into demand letters, chargebacks, or claims that cost time and money to resolve. New risks also emerge from unexpected places including the everyday tools side hustlers use.
Just Heard a Digiday Pod at the Airport Lounge: Programmatic Is Now Neural-Agent Driven and You're Already Behind
An IAB report confirms AI is now embedded across programmatic advertising, but here's the thing nobody's talking about: nobody can even tell who controls what anymore. Brian O'Kelley and Anne Coghlan are repositioning their entire company around advertising transactions that involve AI agents, and over 300 media execs from Condé Nast and Hearst are literally pushing federal legislation on what they're calling 'bad bots' to deal with AI scraping. Meanwhile Amazon Ads used its unBoxed conference to collapse buying silos because AI is now making the media decisions.
Saw a LinkedIn Post in the Delta SkyClub: Amazon's Agentic Full-Funnel Is Eating Australian Markets for Breakfast
Amazon Ads is connecting agentic campaign control, external AI tools, and personalized Prime Video creative for advertisers in Australia, and they're serving two operating models at once. Guided automation for teams that want simplicity, and configurable infrastructure for teams that still need granular oversight. The whole assumption they're challenging is that removing operational complexity gives marketers more control, which honestly is something I've been saying since the Q2 board offsite.
Just Read a LinkedIn Carousel From FAU and Honestly? Your Competitors Are Spectroscoping Their Way Past Dermatology Waitlists.
Florida Atlantic University researchers combined Raman spectroscopy with machine learning to detect skin cancer by identifying molecular patterns in tissue samples. The AI distinguished normal tissue from cancer reasonably well, though basal cell carcinoma and squamous cell carcinoma showed overlapping molecular signatures. The team's stated goal is portable, accessible technology for clinical settings, which could matter a lot given nearly 1.5 million new global skin cancer cases in 2024 including roughly 340,000 melanomas. I've been saying for months that spectroscopy is the next neural frontier. I may have said that about four other things too but this one I mean.
Board Offsite Conversation Just Confirmed It: 130,000 Koreans Are AI-Skin-Scanning Their Way to Better Revenue Per Mirror Check.
KARA Clinical Global, a Seoul-based at-home skincare technology company, announced its free AI skin analysis tool surpassed 130,000 complete analyses in under eight months, averaging more than 500 per day since February 2026. The company operates in Korea and also serves Latin America through a partner called MiDoctor24h, with presence in Mexico and Venezuela. The tool provides general skincare guidance and explicitly does not replace a physician consultation. Their website is karaclinical.com. Why aren't we doing this already? I just saw a post about this and I forwarded it to everyone in the org chart including people who don't report to me.