The real opportunity with AI is not scale alone, but designing experiences that reduce friction and support both customers and teams. By Danita Smith Published on April 6, 2026 There’s a flood coming. A downpour of noise — more content, more channels, more AI-generated everything, moving faster than most teams can keep up with. … Continue reading AI and empathy define the next era of marketing systems
AI performance depends on what it knows, not how you ask. Learn how to structure data and systems for better results. By Ana Mourão Published on March 27, 2026 The AI conversation in marketing has been dominated by two things: which tools to buy and how to write better prompts. Both are real … Continue reading Context engineering is the real AI advantage in marketing
Marketing teams risk flooding channels with low-quality AI slop. Learn how to balance speed with strategy and protect brand integrity. By Greg Kihlstrom Published on March 23, 2026 Last updated on March 23, 2026 As AI promises to automate 90% of your administrative tasks, are you ready to stake your brand’s future on … Continue reading AI commoditizes marketing execution and elevates judgment
AI is transforming entry-level marketing roles from execution to oversight, forcing teams to rethink how junior talent contributes and grows. By Melissa Reeve Published on March 19, 2026 Last updated on March 25, 2026 Digital marketing is undergoing the most drastic capability upgrade in its history, and it is fundamentally changing what entry-level … Continue reading AI is reshaping what entry-level marketing work looks like
How context, consequence and audience impact should guide when AI disclosure actually matters — and when it doesn’t. By Jeanne Jennings January 21, 2026 As an adjunct professor at Georgetown University, I (and my students) live under an AI disclosure policy. If you use generative AI — whether it’s to write, design, brainstorm or … Continue reading A practical framework for AI disclosure in marketing
With data laws tightening and third-party cookies fading, marketers must rethink how they collect and use customer data — or risk being left behind. MarTechBot on December 8, 2025 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 … Continue reading Why privacy, not AI, is the biggest marketing shift to watch
Pick Me! Brands Can No Longer ‘Buy Their Way’ Into Consumers’ Hearts by Laurie Sullivan , Staff Writer, November 5, 2025 Agencies and ad-technology companies are rolling out simulation tools to tell brands how to get the AI-based agents to recommend their products to consumers. Jellyfish, an agency under The Brandtech Group, released one on … Continue reading Pick Me! Growing List Shows Agentic Preferences For Purchases
AI’s promise means little without a clear plan. See how marketers can identify high-value workflows, remove friction and scale adoption with purpose. Melissa Reeve on October 23, 2025 The energy at this year’s INBOUND conference was electric, with one topic dominating the hallways, keynotes and coffee chats — artificial intelligence. Everyone was talking about … Continue reading Structuring AI for marketing impact through focused, real-world activation
AI is handling tasks that once taught junior staff marketing fundamentals. Cutting these positions now means a talent shortage down the line. Constantine von Hoffman on September 8, 2025 Entry-level roles are drying up because of AI automation and budget cuts. This is particularly true for marketing, where AI’s capacity to do grunt work … Continue reading AI threatens entry-level marketing jobs—and the future talent pipeline
Understanding AI’s wins, pitfalls and best practices starts with sharing what actually works — and what doesn’t. Mike Maynard on September 5, 2025 Marketers rarely share A/B test results. With AI, that’s becoming a bigger problem — and opportunity. AI can deliver significant wins, but it can also stumble in ways that hurt campaigns … Continue reading Sharing AI wins and fails will save marketers from repeating mistakes
