AI News

Archilochus, the ancient Greek poet, wrote a line that has traveled through 28 centuries and now belongs to every Navy SEAL training manual and leadership keynote: We don’t rise to the level of our expectations. We fall to the level of our training. That is where most marketers find themselves with AI right now. The […]

Nearly half of B2B SaaS companies say they have already cut or reduced marketing roles because of AI, according to a new report from Wynter. The surprising part is that most of those cuts never showed up as layoffs. Companies quietly stopped backfilling open jobs and let attrition shrink teams over time. Source: Wynter’s report

If you’re like most brand teams I talk to, you’ve got a system for keeping tabs on the competition — dashboards, weekly reports, and someone scrolling competitor social feeds every few days. It feels organized. It feels like staying informed. But watching competitors and understanding what their moves mean are two different jobs. I’ve sat

B2B brands are learning that showing up in AI-generated answers is only part of the challenge. AI systems also shape how vendors are framed, compared, and recommended during the buying process. That distinction matters because more software buyers are now turning to AI tools before they consult analyst reports or search engines. According to a

Google is adding new AI performance insights to Merchant Center, giving retailers a clearer view of how their products appear across AI-powered shopping experiences. The new reports are built for advertisers who want to understand product visibility across Google’s AI shopping surfaces. As more shoppers use conversational search via Search, Gemini, and AI Overviews, product

AI is changing how buying decisions are made. Consumers increasingly discover products through conversational interfaces that interpret intent, synthesize information, and recommend options in real time. In these environments, advertising is no longer confined to banners, sponsored placements, or search results. The recommendation itself becomes the ad. This shift is most visible in conversational AI

AI agents are supposed to automate marketing workflows at machine speed, but many martech platforms can barely support them. Behind the AI hype is a growing infrastructure problem: APIs built for humans clicking dashboards are becoming a bottleneck, preventing autonomous agents from working reliably across modern marketing stacks. A new public dataset from SaaStr —

Many marketers make the mistake of treating AI as a strategy. It’s not. AI is a tool, an accelerator, and, in some cases, a useful assistant. It can help you work faster, support ideation, and summarize data. AI tools can draft campaign copy, suggest subject lines, generate content variations, and reveal unexpected patterns. That helps

Most executive listening tours fail for one simple reason: They’re designed to collect feedback instead of uncovering the truth. Meetings get scheduled, leaders host town halls, surveys go out, themes get summarized, and nothing fundamentally changes. Employees and customers notice the gap between listening and action, and credibility erodes a little more each time. People