Not a meeting goes by that I am not asked my thoughts on staying on top of AI and its impact on our business. For sure, AI is the biggest disruptor the media and advertising industry has seen since
the introduction of the World Wide Web in the early 1990s.
I am by no means one of the most definitive voices on AI in my company, but I did start it at the beginning of the web -- and
I’ve seen disruptive technologies turn companies upside down (incumbents and challengers alike). So have a point of view on managing through this kind of change.
My advice to teammates
for using AI in their day is pretty straightforward. It’s all about learning it, building a daily AI practice and, critically, planning for AI to leapfrog your legacy approaches. Here’s
what I mean:
Daily AI learning. Make sure you are exploring AI every day. It is happening fast, changing daily. Find teachers. Find resources. Dig into them -- daily. This is the time
to learn, learn, and learn -- and then learn some more.
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AI-driven daily practices. We all need to use AI tools in our daily practice, having them help us do what we do, whether
drafting documents, alerting us to news and events, creating virtual chiefs of staff or keeping us in the loop with what our colleagues are doing. We all need to make it a daily practice, to see how
it is evolving and improving.
AI leapfrogging of legacy approaches. So many business practices are focused on practice, not the results for customers. As Intuit founder Scott Cook
has preached for decades: “Fall in love with your customers’ problems, not your products.”
This is where we need to fundamentally focus our AI implementations -- not just to
make our tasks easier and faster to accomplish and to scale, but to better solve our customers’ problems, which might very well mean eliminating many processes that we created and love to
do.