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John Michael Thomas's avatar

I 100% agree with all of this. (In fact, I even quote the same research reports and stats in my own work).

One of the other key failure drivers I've seen is that many leaders think AI is a technology transformation, so they outsource it to the CTO. Or worse yet, to the IT team as a whole (in other words, without your third R).

But AI isn't just a technology transformation, because it doesn't just impact a few specific functions. Where many previous tech transformations (CRM, ERP, etc.) affected select functions, AI potentially impacts every single function, role, and process. And that makes it a whole business transformation - the largest I've seen in my lifetime.

So, leaders who outsource AI adoption are outsourcing their own core jobs. And that can't end well.

I'm curious what your thoughts are about how AI adoption/implementation compares to previous tech transformations. More specifically, how is AI the same as (and thus subject to the hard-earned lessons learned from) past tech transformations, and how is it different (where do we need to write new playbooks)?

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Joel Salinas's avatar

This is excellent! I’m very glad it was thankful, thanks for the thoughtful reply

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Joel Salinas's avatar

Really enjoyed putting this piece together and getting to dive in to such an important subject. Thanks for the platform, Devansh!

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