AI seems to be everywhere in the tech space at the moment. You can’t avoid it, it’s at the peak of the hype-cycle, on the cusp of sliding into the trough of disillusionment. But will it? At the pace AI vendors are innovating and improving, the hype-train might outrun the hype-cycle to actually live up to its own expectations. Who really knows?
What we do know is that AI, specifically generative AI (that’s the one that can ace the bar exam, generate works of art in the style of any artist, and mimic our voices and faces with ease) is being eyed by every industry as a path to increased productivity.
This is a good thing. I’m pretty sure everyone would like to have an easy, guilt-free helping hand to get them through their duller tasks, writing repetitive code, structuring a quick social media post or outlining a blog post. Generative AI is incredibly powerful when it comes to assisting folks who are already good at their jobs at being even more effective.
What is clear is that to really embrace the productivity gains and potential cost-savings from AI, organisations need to really get under the hood of what it means to use and implement an AI strategy.