AI News

The pressure to produce content at an unrelenting pace often leaves marketing teams feeling like they’re running a marathon on a treadmill — moving fast, but losing the human connection that actually drives results. At the May 6th MarTech Conference, we’re hosting a session called, “Marketing’s moment: Reclaiming the power of the story — fueled […]

\ AI search is quickly becoming a gatekeeper in B2B software buying. New research found that 71% of buyers rely on AI chatbots at some point in the software research process, and 51% now start their research with an AI chatbot more often than with Google.    In G2’s report, “The Answer Economy: How AI Search

\ We’re experiencing a conflict between the economic pressure to produce quick and cheap research results and the scientific demand for rigor. Hundreds, if not thousands, of lifelike personas can be generated within minutes by vendors promising strong results. But these often operate as methodological black boxes, producing outputs that can’t be validated, may contain

\ The latest innovation can shape how you evaluate email platforms, but it isn’t enough on its own to determine what will actually work for your business. That’s part of the challenge when making platform decisions. Innovation can force you to reassess how you evaluate and choose technology to avoid heading in the wrong direction.

\ A team I was working with recently started using AI to speed up content. At first, it delivered. Output increased, timelines moved faster and bottlenecks eased. Then things started to feel off. The tone shifted depending on who wrote the prompt. Messaging got a little inconsistent and a few pieces had to be pulled

Adobe and Canva are heading in the same direction, even if they are taking very different paths to get there. Both companies rolled out major AI updates in the past 24 hours, and both are trying to redefine how creative work actually gets done. At the center of both releases is a shift in interface.

A troubling trend is developing involving AI and early-career marketers, and I’m not the only one noticing it. Leading voices like Paul Roetzer highlighted attention-grabbing quotes from Dario Amodei, co-founder and CEO of Anthropic, who predicted AI could wipe out roughly 50 percent of all entry-level white-collar jobs within five years.  Stanford’s Digital Economy Lab

\ Most companies view multishoring as a financial shortcut. It works like a volume knob, amplifying your existing system. If your processes are streamlined, you scale success. If they’re fractured, you pay to magnify chaos at a lower hourly rate. When success is measured by speed and cost, teams miss what drives long-term ROI: effectiveness.

Modern marketing cycles often feel like a race to use every available tool, even when that volume risks drowning out the very message you’re trying to send. At the May MarTech Conference, we’re hosting a session called “Winning attention without losing trust: Creating meaningful moments across the customer journey,” designed to help you navigate that

IAB Tech Lab is adding Amazon Ads’ Dynamic Traffic Engine to its open-source efforts to reduce inefficiencies and improve clarity in signaling across the programmatic advertising supply chain. Currently, supply-side platforms send large volumes of bid requests without knowing exactly what demand-side platforms prioritize, leading to wasted infrastructure and unnecessary traffic. The Dynamic Traffic Engine