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I’m sitting in the Las Vegas airport writing this. Looking around, I see a familiar sight — people trying just a little too hard to project youth and status. A woman with too many plastic surgeries wearing clothes designed for someone half her age. The guy next to her has a bad hair dye job, […]

Much of the marketing stack is priced and purchased as infrastructure, but many parts are actually coordination layers that AI can increasingly replicate. The shift introduced by AI is not collapsing the stack — it is repricing it. The misconception about large parts of the stack is that they’re priced and purchased as infrastructure. In

When people ask why AI has been so successful in code generation, the answer isn’t mysterious. Programming languages are structured systems. They have syntax, grammar, modularity, version control, testing protocols and shared conventions that engineers learn early and reinforce daily. Tasks can be decomposed, interfaces are defined and dependencies are explicit. When an AI model

Publishers have spent the past few years watching their traffic slide — in some cases by more than 50% from search alone — while AI systems ingest and summarize their content at scale. The imbalance has been obvious. The infrastructure to power AI is highly commercialized. The information feeding it is not. The IAB Tech

Consumers jumped on the AI search bandwagon soon after ChatGPT launched. Now, more than half of shoppers use AI as a research supplement, and nearly 20% are moving to AI-powered LLMs for all or most of their search needs.  Brands, on the other hand, are focusing on AI to power chat and customer experiences. That

Your CEO just decided it was time to send more emails. You have segments and even entire lists that haven’t seen an email in months — or years. Ads and organic social aren’t working like they used to, and suddenly, your CRM looks like the opportunity of a lifetime. Re-engaging dormant email lists can generate

In MarTech’s “MarTechBot explains it all” feature, we pose a marketing question to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader internet. Question: As AI agents become more capable of comparing products and aiding purchase decisions, how should B2B vendors optimize content and structured data

Direct traffic is often interpreted as a sign of brand strength. When it increases, teams assume awareness is growing and customers are returning on their own. The metric frequently appears in board reports as evidence that people are seeking out the business directly rather than discovering it through search or ads. The logic is simple

A static annual plan is a liability in a zero-click world where AI models update their knowledge of a brand every few weeks. We must move from traffic seeker to authority source quickly. But how? For a few clients, I’m embracing the uncertain future of market behavior by developing a 90-day authority sprint content marketing

Buy-versus-build considerations are interesting martech scenarios. There’s never a clear answer, which makes martech far more an art than a science. At times, there’s also the buy-and-build option to consider. Recently, in an episode of Bloomberg’s Odd Lots podcast about vibe coding, guest Noah Brier, co-founder of Alephic, argued that AI models that produce software