The gap between the AI story in the market and what we actually hear from customers is getting bigger. Media outlets, VCs, AI labs, and influencers keep pushing narratives about AI replacing people, ripping out proven software, and chasing token counts as if they’re the ultimate goal. Meanwhile, the leaders who run real businesses are starting to focus on more practical questions. How do I use AI to make my teams more effective? Which tools can I genuinely trust? How do I track and prove the ROI of these investments? We hear these questions constantly. After three and a half years of building, launching, and watching many of our growing customers put AI into real-world use, the AI views we’re most confident in at HubSpot are the ones almost no one else is saying plainly. Here are six of them. AI activity is not the same as AI outcomes. The industry has mistaken movement for progress. Writing email drafts, creating summaries, doing research—AI has made all of this far easier. These are valuable features, and we offer them at HubSpot. But activity is just the input, not the finish line. Activity without outcomes is theater. The companies succeeding with AI are the ones starting from a concrete business problem and working backward, not starting from a flashy model demo and working forward. For instance, customers using Customer Agent are resolving tickets 25% faster, and those using Prospecting Agent are generating 76% more leads. That’s why we shifted Customer Agent and Prospecting Agent to outcome-based pricing in April. AI outcomes are what count. And that’s what we help growing…