9 stories tagged #marketing-ops.
At the May 2026 MarTech Conference, operations leaders examined how to stop AI tools from creating a disconnected stack of point solutions, according to [MarTech](https://martech.org/the-art-of-doing-more-with-less-the-new-marketing-operations-stack/).
Navigating dozens of interconnected systems often feels like high-stakes Jenga, where moving one piece in a CRM can affect 30 downstream workflows.
Marketing teams now have more ways than ever to create, distribute, adapt, and measure content. Technology has made production faster, templates have made execution more efficient, and automation has made scale feel increasingly achievable. However, more creative output does not automatically translate into greater marketing impact, according to [MarTech](https://martech.org/why-scaling-creative-is-really-a-leadership-challenge/).
More content competes for attention across more channels than...
According to [MarTech](https://martech.org/the-latest-ai-powered-martech-news-and-releases/), tech columnist Christopher Mims reported in The Wall Street Journal on an experiment where marketers achieved better AI results by arguing with chatbots rather than treating them as simple answer machines.
Gartner's 2026 CMO Spend Survey reveals that chief marketing officers (CMOs) are allocating an average of 15.3% of their marketing budgets to AI initiatives, even as only 30% report that their organizations possess mature or fully developed AI readiness capabilities.
Gmail announced its AI Inbox feature on March 31, aiming to use artificial intelligence to organize and prioritize emails, potentially altering how users interact with their inboxes. According to MarTech, this update allows AI to decide which emails are relevant before users scroll, drawing parallels to how Google handles search queries.
On March 31, Gmail introduced its AI Inbox feature, which aims to use artificial intelligence to organize and prioritize emails, potentially making the concept of reaching Inbox Zero obsolete. According to MarTech, this system will have AI decide which emails users see first, similar to how Google handles search queries.
B2B marketing leaders have optimized for search engines using keywords, backlinks, technical SEO, and steady content production for more than a decade, according to Demand Gen Report. That model is now being disrupted by AI-powered answer engines that summarize, interpret, and recommend suppliers before a buyer clicks a link.
At the Spring 2026 MarTech conference, participants in the MarTech Vibe Marketing Lab worked in small teams to create marketing tools for Harlem Grown, a nonprofit focused on urban farming and youth mentorship, revealing challenges in maintaining brand consistency with AI-generated content. One team developed a story engine to transform a single impact story into various content pieces across channels while ensuring a consistent voice, as detailed in the lab's hands-on collaboration.
At the Spring 2026 MarTech conference, participants in the MarTech Vibe Marketing Lab collaborated on creating tools like a story engine for Harlem Grown, a nonprofit focused on urban farming and youth mentorship, to generate consistent content across channels.