AI News

Early in my career, the technology contracts I signed were fairly straightforward. I knew what I was paying for, how many seats I had and what was included. Even as data volumes grew and systems became more complex, costs were still mostly understandable. You could estimate what it took to store, move and process data. […]

In MarTech’s “MarTechBot explains it all” feature, we pose a question about marketing to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader internet. Today’s question: How can B2B marketers build long-term buyer momentum by connecting mental availability to buying triggers instead of relying on short-term

Measuring your marketing and sales success by defining, measuring and optimizing the stages an account progresses through will make the attribution conversation obsolete.  Yeah, I said it. Teams obsessively track impressions, clicks, website visits, form fills, event registrations, content downloads and MQLs to try and scientifically associate that behavior with what prompted a customer to

Five days compressed into five minutes. Six weeks into six days. These aren’t marginal improvements. They’re what happens when marketing organizations remove the structural barriers that prevent talented people from acting at the speed of customer behavior. As Peter Drucker, the father of modern management, warned in “Managing in Turbulent Times,” “The greatest danger in

Marketing — particularly martech — often behaves like the fashion industry. Every year, sometimes every season, a design from a significant fashion label emerges that fast-fashion brands rush to copy. Before long, everyone is wearing the same look, which is often the first sign it’s already time to move on. Marketing is no different. The

The IAB is stepping into the AI accountability conversation with a new framework aimed squarely at one of marketers’ biggest open questions: when, exactly, should AI use be disclosed in advertising? On Thursday, the trade group rolled out its first AI Transparency and Disclosure Framework, positioning it as a practical guide for brands, agencies, publishers

Can you guess Merriam-Webster’s 2025 Word of the Year? Yep, it’s slop — “digital content of low quality that is produced usually in quantity by means of artificial intelligence.” If you spend any time on LinkedIn, you’ve probably seen it everywhere. And you’ve definitely seen people complaining about it. But AI slop isn’t just a

In martech, momentum is often mistaken for progress. That pause feels especially welcome in this space. With all the disruption and change, it can help to take a moment to breathe before the next wave arrives. Over the years, I’ve landed on a metaphor for how people tend to operate at work and in life.

Last week, Google introduced AI for the Gmail inbox, an announcement that got the attention of many email marketers. The new AI features now available in Gmail are built on Google’s Gemini 3 AI model, according to a blog post by Blake Barnes, VP of product for Gmail at Google. For Gmail users, these new

When it comes to AI in B2B marketing, strategy is still a gray area. That’s one of the biggest takeaways from MFS’s “2026 State of AI and B2B Marketing” report on how marketing leaders are using AI—and where they still hesitate to go. Most B2B marketers are leaning into AI for the things it does