AI

🤖 AI is Changing Who Brands Have to Convince

As AI agents take control of product discovery, comparison and purchasing, marketers face a fundamental challenge to how brands create value. The real threat isn’t that consumers will stop caring about brands, but that brands may lose the opportunity to influence the decisions consumers increasingly delegate to machines.

⚠️ The Most Dangerous Thing in AI Marketing Is Certainty

Marketers are being told to move faster, automate more and rebuild everything around AI, often by people with something to sell. The real competitive advantage may be knowing which advice to ignore.

🐢 AI Needs to Slow Down. Marketing Might Finally Catch Up

The AI industry is beginning to contemplate something that seemed unthinkable during the technology’s frantic acceleration: deliberately slowing down. For marketers, a pause at the frontier could be less of an innovation crisis than an opportunity to finally turn years of experimentation into something resembling strategy.

🦕 Your SEO Strategy Was Built for a Search Engine That No Longer Exists

AI-powered search is changing visibility from a battle for rankings into a battle for inclusion, authority and brand meaning. As generative platforms increasingly answer questions instead of simply serving links, marketers need to think beyond SEO and build a connected strategy spanning content, PR, social, brand and the wider information ecosystem.

📧 AI Is Making Email Marketing Easier to Produce But Harder to Get Right

As AI makes email faster, cheaper and virtually limitless to produce, the real advantage for B2B marketers is shifting from volume to judgment. Smarter targeting, stronger intent signals and knowing when not to send may ultimately matter more than anything AI can write.

👫 The AI Gender Gap We Should Be Worried About Has Nothing to Do With ChatGPT

The first phase of workplace AI inequality was measured by adoption, but the next will be measured by opportunity. If some employees are given greater freedom to automate workflows, access valuable data and redesign how work gets done, today’s experimentation gap could quietly become the leadership gap of tomorrow.