“(Model) can’t even tell when to go to the car wash!” “(Model) reduced my workload by 84 years and built three new companies in an evening!” These are the two general hot takes on any new AI advancement, especially new models. They’re overly reductionist, absurd caricatures that don’t help us understand a new model and…
Summary In today's episode, I explain why hyperscalers are hoarding gigawatt-scale power capacity and what that power grab means for your enterprise AI costs. Here's what this means for you. You can escape rising token prices and cloud dependency by combining on-premise AI hardware with your own distributed green power generation. You'll also learn these…
AI generally doesn’t think out of domain. There’s a technique in metacognition called lateral thinking, where you take a concept from one domain and you move it to another domain. For example, if you play World of Warcraft and you know how to win PvP at Arathi Basin, those same strategies and tactics can be…
Summary In today's episode, I walk through the top five strategic use cases of job descriptions beyond just listing job duties, using McKinsey as a real-world example. Here's what this means for you. You'll discover how a single batch of postings can reveal a company's tech stack, strategic direction, and even your own job's vulnerability…
Summary In today's episode, I explore whether offloading cognitive tasks to AI in the enterprise is creating dead workplaces and what you can do to avoid that trap. Here's what this means for you. You can defend your executive function by handing templated work to machines and doubling down on non-templated, judgment-heavy tasks. You'll also…
“What can we do to future-proof our company?” “How can I future-proof my career?” There is no such thing as future-proofing. Do I understand the instinct, to want to insulate yourself from change? Sure. Keeping up with change is exhausting. But there’s no such thing. Change is the only constant. On the eve of my…
Summary In today's episode, I tackle the enterprise-level question of how to avoid replacing vendor lock-in with agentic platform lock-in by building local AI inference capabilities. Here's what this means for you. You'll gain pricing independence and operational control over your AI by owning inference hardware rather than depending solely on cloud providers like OpenAI…
Luxury. Enterprise. Upmarket. If you’ve not been following markets – especially shadow markets – you have not seen these shifts in the last 3 months: Every AI company is chasing enterprise customers hard now. Anthropic’s swimming upstream as fast as it can, with its competitors on its heels. Consumer brands of every kind have pivoted…
Katie’s on vacation so I’m borrowing the ranty pants. I’ll give them back when she’s back from PTO. Earlier today, Pam Didner, Taylor Logue & Iva Ignjatovic produced a nice writeup of AI speakers, and in the post is this paragraph next to my entry (thank you!): “Pam’s take: Chris pairs well with a strategy…
Here’s the irrefutable gold standard for measuring AI Visibility/GEO/whatever: ASK PEOPLE HOW THEY HEARD OF YOU. Marketers have spent the last 20 years becoming increasingly allergic to talking to real customers, probably because at many companies, if they did, they’d get an earful. So we’ve tried our hardest not to ever talk to real people.…
