AI Adoption

Lex Fridman asked two of the sharpest ML researchers alive: who's winning the AI race? Nathan Lambert's answer: Anthropic for enterprise software. Google for scale. OpenAI's the startup running hot and chaotic. Sebastian Raschka's answer: in 2026, no single company has exclusive access to any technology. That second point is the one B2B teams need to sit with. The competitive moat is not the model. It's how fast you build workflows around it, train your team to use it, and integrate it into decisions before your competitors do. The models are converging. The implementation gap is widening. Which side of that gap are you on? #AIStrategy #B2BMarketing …more

British workers are spending £958 million of their own money per year on AI tools their employers won't buy them. That's the headline from Deloitte's largest-ever single-country study of workplace AI use — 25,000 UK workers surveyed. But the number that should actually keep enterprise leaders up at night is the one underneath it: 31% of workers using AI at work are doing it without their employer knowing. Shadow AI is not a future risk. It is a present reality. The study found that 63% of UK workers have used generative AI, but half have received no training for it, and 65% say their leaders discuss AI without a clear understanding of what it actually does. Workers report saving 70 minutes a week on average — but nearly a quarter still sense a stigma attached to using it at work. The pattern that emerges: GenAI use is widespread but shallow. People have tried it. Few use it daily. Most stick to familiar tasks like writing emails and searching for information rather than rethinking how work is done. The implication for enterprise marketing and B2B teams is direct. If your employees are spending their own money on AI tools because your company hasn't provided sanctioned ones, two things are true simultaneously. Your people are motivated enough to self-fund productivity tools. And you have no visibility into what data is going into those tools, what outputs are being used, or what liability you're accumulating. The technology investment conversation has shifted. The question is no longer whether your team is using AI. It's whether they're using yours. https://www.deloitte.com/uk/en/issues/generative-ai/genai-workforce-survey.html #AIGovernance #B2BMarketing …more

Bill Gates: "Anyone who analogizes AI to other technologies is missing that this time is different — it exceeds human cognition across nearly every domain." It's a comforting instinct, isn't it? When something big shows up, we reach for the last thing that looked like it. The internet. The smartphone. Electricity. We tell ourselves, "We've seen this movie before, we know how it ends." But that instinct is exactly what trips us up here. Every past technology extended what humans could do. This one steps into the thing we thought was ours alone — reasoning, judgment, the act of figuring something out. That's not a faster horse. That's a different kind of animal. The past is comforting, but it's also there to fool you if you assume this is just another wave. The people building it won't even forecast a year out anymore. That should tell us something. You don't have to have it all figured out. You just have to stop pretending it's familiar. Curious how you're thinking about this moment — is AI "just another tool" to you, or something different? Tell me in the comments. 👇 #AIStrategy …more

Today's post is 318 words, a 2-minute read. Sources: Every.to — "Our Agents, Ourselves" 1 big thing: How forward-thinking teams are turning institutional knowledge into reusable AI skills The best thinking in your marketing organization lives in someone's head. Every.to is running an experiment to change that. Why it matters: In B2B marketing, your most valuable asset is not your tech stack. It is the judgment of the people who know your brand, your buyers, and what actually works. That knowledge walks out the door every time someone leaves. Driving the news: Every.to is capturing the decision-making patterns of their best employees and encoding them as reusable AI skills. → Their best editor's headline instincts, their top strategist's brief methodology — documented and accessible via AI → One Walleye Capital CEO now requires AI use for all 400 employees — not as a suggestion, but as a baseline operational standard Zoom in: Companies spent months answering the same 33 questions from executives on how to roll out AI — covering strategy, tool selection, governance, and winning over skeptics. → Every.to published those answers publicly for the first time this week Yes, but: Encoding institutional knowledge takes deliberate documentation most teams defer indefinitely because it does not show up in this quarter's deliverables. Be smart: Start with your highest-leverage knowledge holder. Document how they think about one recurring decision — a content brief, a headline, a channel call — and build from there. One reusable skill that reflects real expertise beats a hundred generic prompts. The bottom line: Your best marketer's instincts should not be a single point of failure. https://every.to/context-window/the-case-for-cloning-your-coworkers #AIMarketing #B2BMarketing …more