AI News

When you hear “compliance,” do you immediately think of regulatory frameworks like GDPR, data privacy, and legal restrictions? Well, that’s the standard definition. Another is behavioral. I’m talking about the habit of accepting what AI produces without question. This “cognitive compliance” happens when formal-looking, polished AI outputs hit your screen faster than your instinct to […]

We’ve all seen dashboards that don’t make sense when you look into the numbers, but now that same data could be training your campaigns to spend your budget chasing the wrong people. As automation takes over more of the ad-buying process, from creative generation to bidding, data has become one of the last inputs advertisers

Across Google Ads, Meta, and TikTok, platforms are pushing you toward broader, AI-driven targeting. Performance Max, Advantage+ campaigns, and TikTok’s automated audience expansion give algorithms more room to find converters while reducing your control over who sees an ad. This is fundamentally changing how campaigns are qualified. As targeting broadens, creative has become one of

Why is email marketing like being in a long-term relationship? Because when you ask your partner how they’re feeling, and they respond, “Fine,” you know that doesn’t always mean things are good. In the same vein, AI can produce campaigns that look fine. But on closer inspection, you might find it doesn’t have the juice

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. Q: When does the cost of maintaining custom API integrations between legacy CRMs and modern AI tools outweigh the benefits of “best-of-breed” stacks?

When Humanity’s Last Exam launched in January of last year, the best AI models answered only a small fraction of its questions correctly. Today, just 18 months later, the leading model is past 50%. That fact is at odds with our instinct to find the best AI tool and commit. Learn it deeply. Build everything

Marketers embraced AI when it was priced like an all-you-can-eat buffet. Providers’ shift to token-based pricing comes just as agentic workflows are becoming part of everyday marketing — and agents use many, many tokens. Martech’s infrastructure needs to change if it’s going to keep costs down amid growing demand. The moment AI connects to your

Marketing has always depended on customer insight, but traditional ways of gaining it are under strain. Surveys take time. Focus groups are expensive. Hard-to-reach audiences often remain underrepresented. Privacy requirements and consent limitations make granular customer data harder to access and use. At the same time, marketing teams are under pressure to move faster, personalize

One of the most rewarding aspects of teaching marketing is seeing how my students tackle real-world business challenges. Every semester, I review the final projects from my Honors Marketing students at the University of Missouri-St. Louis. This semester was no exception, with students creating marketing plans for organizations across fintech, healthcare, retail, and manufacturing.  As

For years, marketers treated automation as the answer to growing content demands. Build enough rules into your workflows, and the system could handle the rest. AI is proving that’s not true. According to Bynder’s “State of DAM Report 2026,” 93% of enterprise organizations face content challenges that their existing rules-based automation can’t solve. The biggest