AI tools adding workload for sales teams, not cutting it
## The efficiency promise is not delivering AI was supposed to give sales teams more time for selling. The reality looks different. New research from UC Berkeley tracked 200 workers at a US tech company for eight months as they adopted generative AI tools. The outcome: people did more work, not better work. Product managers started writing code. Researchers took on engineering tasks. Sales teams filled what used to be breaks with AI-prompted micro-tasks. Work intensified. Natural pauses disappeared. The workday got longer and denser. ## The numbers tell two stories Individual productivity is up. Email processing is 25% faster with AI. Coding tasks complete 55.8% quicker. US productivity growth hit 2.7% in 2025, nearly double the previous decade's average. Generative AI contributed 1.1 to 1.3 percentage points of that growth. But here is the catch: 95% of organisations report no measurable return on AI investment, according to MIT Media Lab. AI adoption doubled since 2023. Usage jumped from 55% to 78% of organisations. The tools work at the task level. They are not working at the business level. ## What this means for ANZ sales teams If you are using AI for prospecting, email sequences, or proposal writing, watch for these signs: your day feels fuller but quota attainment is flat. You are checking AI output more than you expected. Small tasks are multiplying. The tools make individual tasks faster, but your workload keeps growing. The Berkeley researchers call it "intensification of work." Sales teams call it grinding harder for the same result. Worth noting: lower-performing reps see the biggest individual gains from AI, suggesting these tools compress skill gaps while creating new management overhead. Wharton projects AI productivity gains will peak in the early 2030s, then fade as implementation complexity catches up. That tracks with what we are seeing now: fast adoption, minimal business outcomes, and teams working harder to manage both the AI and the work it generates. ## The burnout risk The research found workers felt "empowered" by AI, taking on tasks outside their normal scope. That confidence came with a cost: wider job scope, fewer natural breaks, continuous work involvement. Over eight months, what felt like efficiency gains accumulated into overwork. For sales leaders: if your team adopted AI tools in the past year and quota attainment has not moved, you are not alone. The tools work. The business case does not. Yet.