Love Shiny Objects: AI Possibilities Are Like Catnip

AI is coming of age faster than we could imagine—and it’s not traveling alone.  AI is accompanied by these lofty expectations about the way it will transform work and life. Sounds like a delicious blend of frightening and irresistible.

In many of the conversations I’m having today, most sales leaders are addressing the dawn of AI in one of two ways. They either take a wait-and-see approach or adopt AI as a contained plug-and-play solution. This marginal experimentation gives people something to talk about without too much operational disruption. After all, it’s the revenue organization that almost always goes first when it comes to trying new things—no risk, no reward right? And who doesn’t want to demonstrate to their peers and CEO that they’ve found a way to lean into this breakthrough tech as a way to accelerate growth?

AI provokes near-universal curiosity. What I find amusing is that suddenly there are a lot of self-proclaimed experts out there who are keen on telling us where AI is going and what it means for your business.

However, the tell comes when you try to drill down for specifics. I have done this a few times recently. What I’ve noticed is that many of these purveyors of transformation will divert your attention back to their carefully curated demo – ‘Look what I was able to do!’ Oooh, ahhh…

Back in the real world, marketing thought leader and board advisor Tom Goodwin posted candidly about his own experiences test-driving AI this past year. I share some of these frustrations. There is a disconnect between AI potential, the promises made by vendors selling AI solutions, and what your sales organization can tangibly benefit from today.

So, the suggestion for sales leaders is simple – stay curious and informed about new developments. Test solutions sparingly and direct real energy towards tightening up the fundamentals like process and performance. That way your organizational infrastructure will be ready for when true, transformative AI rolls onshore.

Bottom line: AI possibilities are interesting, but right now the tech isn’t mature enough to make a definitive impact on growth efforts. So lay the operational groundwork now to get ready for when it is.

 

 

 

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