TL;DRAI has supercharged outbound volume and cut cost-per-touch across enterprise sales, but win rates remain flat. Karl Pinto, former Regional Enterprise Sales Director at PagerDuty, argues most teams pointed AI at the throughput layer instead of the diagnostic layer, automating activity rather than improving qualification, deal inspection, and executive access.
Enterprise sellers have never generated more activity. Their win rates have not moved. Karl Pinto, who built one of PagerDuty’s top-ranked enterprise teams, argues most companies are aiming AI at the one part of the sales process that was never the problem.
Enterprise sales has spent two years getting faster. Reps draft outbound sequences in seconds, summarize discovery calls before they have left the room, and let models score and rank the pipeline overnight. On nearly every team that has adopted the tooling, activity is up and cost-per-touch is down. Win rates have barely moved.
That gap is the part most go-to-market leaders are not discussing, and to Karl Pinto it points to a basic error in how the industry is spending its AI budget. Pinto has spent nearly two decades in enterprise software across Dell, Salesforce, and PagerDuty, most recently as Regional Enterprise Sales Director for the Northeast, where he built and led one of the company’s top-ranked global enterprise teams. His read is blunt: AI has solved a problem enterprise sales never actually had.
