Medical device sales reps who use AI are three times more likely to meet or exceed quota. This was one of the most compelling findings from our recent survey of 150 MedTech sales professionals. AI has quickly become part of everyday work. And while most organizations are using AI to automate routine work like drafting emails and summarizing meetings, our research suggests the real opportunity lies elsewhere: helping commercial teams make better decisions.Here are four lessons every MedTech commercial leader should be thinking about as AI adoption accelerates.1. AI is becoming a competitive differentiatorOne of the most striking findings from our research was around the relationship between AI adoption and sales performance.Sales reps who reported using AI at work were three times more likely to meet or exceed quota than those who weren't. Conversely, reps who did not meet quota were almost twice as likely to have never used AI professionally.Of course, that doesn't mean AI is the reason they outperformed. High-performing teams are often quicker to adopt new technologies, and there are many factors that contribute to commercial success.But this finding reinforces something many leaders are already seeing: AI is no longer an experiment, it’s becoming table stakes for top-performing organizations. The conversation has shifted from Should we adopt AI? to How do we use AI to create a competitive advantage?The organizations that answer that question well will separate themselves.Research from AcuityMD found that sales reps who use AI are more likely hit or exceed quota.AcuityMD2. Most organizations are still focused on productivityDespite growing adoption, today's AI use among MedTech teams remains fairly tactical.The majority of survey respondents reported that they primarily use AI for drafting emails, automating repetitive tasks, or generating meeting notes. These are meaningful productivity gains, and most AI users told us they are saving several hours every week. Among sales reps who use AI, 57% mentioned they are saving 4-6 hours a week, while 28% are saving 6+ hours every week. Those efficiencies matter because every hour a sales rep spends on administrative work, like editing an email, is an hour they aren't spending with customers.But productivity alone doesn't create market leadership.If organizations stop at automation, they'll improve efficiency without fundamentally changing how commercial decisions are made. That's the missed opportunity.3. The next wave of AI will help teams make better decisionsWhile AI is already helping sales teams work faster, relatively few respondents said they're using it to surface insights they would not have discovered on their own.That's where the next wave of value is going to emerge.MedTech companies make high-stakes decisions every day: Which markets are growing fastest? Which health systems are increasing procedure volumes? Where are referral patterns shifting? Which accounts deserve greater investment?Answering those questions has traditionally required analysts to stitch together claims data, reimbursement information, market reports, CRM data, and countless spreadsheets.AI has the potential to fundamentally change that process—not by replacing human judgment, but by helping teams uncover the right patterns and evaluate opportunities faster than was previously possible.4. Better AI requires more than a better modelAs generative AI becomes more accessible, the model itself is becoming less of the differentiator. The real differentiator comes from combining powerful AI with the right data, context, and workflows.General-purpose AI models like ChatGPT are extraordinarily capable, but an industry such as MedTech requires specialized knowledge. Commercial decisions depend on understanding providers, procedures, products, sites of care, referral patterns, reimbursement, territories, and company-specific priorities—information that isn't readily available through public sources alone.And while context is critical, AI also needs to connect that information to the way commercial teams actually work. It needs to understand who is asking the question and what decisions they're trying to make. The organizations with an AI advantage won't simply have access to better AI models. They'll build more comprehensive AI systems that combine domain expertise, trusted data, and workflow intelligence. The future belongs to better decision-makingThe first chapter of AI in MedTech has largely been about productivity. But the next chapter will be about judgment, and using AI to make the right strategic decisions. The companies that use AI to find valuable insights—and act on them—are the ones that will pull ahead.