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LATEST ARTICLES
AI in marketing job descriptions: What 1,750 job posts reveal
The change in skills requirements for AI in marketing jobs has gotten very specific very fast. We scraped around 1,750 marketing job descriptions across two periods: roughly 1,000 from January 2026 and 750 from May 2026. Four months of job description data doesn’t sound like much. But when mentions of […]
Google’s AI search optimization guide is right about the basics
Last week, Google published its first official guide on generative AI optimization, and it’s the reset a lot of marketing teams needed. Every week brings a new batch of AI-search optimization “hacks,” like llms.txt files, content “chunking”, AI-specific schema, or inauthentic brand “mentions”, and most of them aren’t worth the […]How teams use AI in B2B marketing in 2026
AI adoption in B2B marketing is accelerating. Effective AI adoption, however, is not. Our research suggests most marketers are still applying AI tactically rather than systematically, focusing on tools instead of building scalable operating systems. To understand what’s really happening beneath the hype, we combined behavioral and survey data.AI Overwhelm: Why marketers are burning out trying to learn AI
When it comes to AI adoption, the dominant narrative amongst marketers is that they’re falling behind. That every new tool, every new model, every new AI marketing workflow announced on LinkedIn is a gap you need to close—now. And the more you scroll, the more that feeling compounds. The anxiety […]GitHub for marketing: Build AI systems that actually scale
More than 150 million people use GitHub. Developers created more than 230 new repositories every minute last year, and there are 4.3 million AI projects on the platform. Most of those users are still developers. But the profile is shifting.
