When we talk about productivity with people, we’re generally talking about doing more in the same amount of time. Better efficiency. How can we minimize steps? How can we reduce repetitiveness? We sometimes call it working smarter, not harder.
We rarely mean we want them to work more hours (except in the service industry).
It’s the opposite with machines.
When we build automated testing into our product development workflow, we want those machines running 24×7. Lights out. Hands off. Keep those machines running as many hours as possible. How can we maximize the number of steps? How can we increase repetitiveness?
We want those machines to work longer.
The good news is that’s what machines are good at. They are great at repetition. They don’t get tired. They don’t get worse at it the longer they do it. They don’t decide they don’t want to. They run equally as well at 3am as they do at 3pm. They have no idea it’s Christmas Day.
The same is true for AI.
It’s not about having AI replace all of the things our people do. It’s about how do we give the right tasks to AI so that it can work all day and all night, so we can help our people work smarter?
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