Keeping up with the terms and buzzwords that make up the Generative AI ecosystem can be daunting — and that’s coming from someone who reads and listens to podcasts nearly every day on this very topic! While I may know more about this topic than the average person, I can admit that it’s still only enough to be dangerous. Loosely understanding and discussing these concepts with colleagues and stakeholders will only get you so far.

In the future, every company — including the one you work for now — will have to be an “AI company” to survive. That’s not hyperbole, it’s a fact.

Generative AI isn’t just about speeding up (or fully automating) tasks — it’s a tool that enhances human intelligence and improves the quality of your work output. In fact, I think much of the focus on efficiency gains (and the subsequent debate about workforce reductions) misses the point…

Outputs are the tangible results of our efforts — the features we ship, the tools we implement, or the products we launch. Conversely, outcomes are the measurable impacts that outputs have on our business goals and user experiences.