My experience at TR leading a sales team tasked with 'demonstrate X amount of AI utilization a month across XYZ types' is that most GTM teams are drowning in tool sprawl already — "learn to code AI agents" is something that needs to be considered carefully with a serious opportunity cost lens.
What I think is probably a realistic short term path is having a dedicated person with both GTM experience and an AI agent creation skill set to take on that burden, that may be an existing revenue generator with a curious mind and a bit of pre-existing dev experience, or may be a dedicated hire. Otherwise, the big risk is you end up taking resources whose sole function is to generate revenue, typically with relatively short horizons (annual max), and distracting them with something that may significantly reduce their output in the short/midterm.
But here's what I've noticed: the teams that understand at least the basics of how these things work make way better decisions about which tools to buy and how to implement them. They ask the right vendor questions, spot the BS demos, and don't get oversold on capabilities.
What's your take — are you seeing teams that jumped straight to using AI tools without understanding the fundamentals struggle more with implementation?
