Use AI: 81% of sales teams

Sales software is turning into AI software. That’s the real story here. Not because human reps are disappearing, but because the tools around them are getting much better at the boring, messy, pattern-matching parts of the job. The big proof point is Salesforce’s State of Sales report from July 25, 2024: 81% of sales teams said they were either experimenting with AI or had fully implemented it. And the teams using it were more likely to report revenue growth. (salesforce.com) ### Why are sales teams leaning on AI now? Because the old workflow is broken. Salesforce’s survey says reps spend 70% of their time on non-selling tasks, and 67% didn’t expect to hit quota in 2024. At the same time, buyers want more relevance, more context, and faster responses. So the pitch for AI is simple — let software handle the admin and the first pass of research so reps can spend more time actually talking to customers. (salesforce.com) ### What are teams actually using it for? Mostly for augmentation. Think personalized outbound emails, account research, lead prioritization, forecasting, follow-ups, and next-step recommendations inside the CRM. Outreach says 54% of teams are using AI to write personalized outbound emails and 45% are using it for account research. ZoomInfo describes the same pattern (salesforce.com)ing off to the side as a novelty chatbot. (outreach.ai) ### Is there a hard business case yet? Yes — with caveats. Salesforce’s headline number is that teams with AI were 1.3x more likely to see revenue increase, with 83% of AI-using teams reporting revenue growth versus 66% of teams without AI. ZoomInfo’s 2025 survey says AI users reported a 47% productivity boost and about 12 hours saved per week. But these are self-reported (outreach.ai)irection is pretty clear. (salesforce.com) ### Why does personalization keep coming up? Because generic outreach is dying. Buyers ignore templated messages. AI helps reps pull together company context, buying signals, and suggested messaging fast enough to personalize at scale. That’s the trick — not “write a spam blast faster,” but “make a useful message without spending 20 minutes per prospect.” Outreach say(salesforce.com)hy these tools are getting budget. (outreach.ai) ### What about call data and voice analytics? This is where things get more interesting. AI is moving beyond email drafting into conversation intelligence — tools that transcribe calls, flag objections, surface deal risk, and connect what was said on a call to the next action in pipeline. ZoomInfo’s Chorus product and similar systems are built around that idea. Basically, (outreach.ai) them and look for patterns tied to wins, losses, and stalled deals. (zoominfo.com) ### So is AI replacing reps? Not really — at least not in the evidence here. The winning use case is copilot, not autopilot. The software drafts, scores, summarizes, and recommends. The rep still handles judgment, relationships, and the moment where a buyer decides whether to trust you. That matches the broader workplace pattern too — companies get more value when AI amplifies workers instead of trying to eliminate them. (salesforce.com) ### What’s the catch? Accuracy and trust. ZoomInfo’s 2025 survey says many sellers are still dissatisfied with the reliability of general-purpose AI tools. That makes sense. Bad data, wrong summaries, or fake personalization can burn a prospect fast. So the market is shifting toward specialized AI tied to CRM records, call transcripts, firmographic data, and real buying signals — not just a generic chatbot with a prompt box. (pipeline.zoominfo.com) ### What should you take away? Sales AI is becoming normal software infrastructure. The important change isn’t that “AI exists.” It’s that sales teams are now using it in the parts of the workflow where time disappears — research, outreach prep, call review, forecasting, and next-best-action decisions. The teams that treat it like leverage look early. The teams that treat it like magic probably get disappointed.