Meanwhile, AI has become something of an integral part of the fabric of our lives – not by changing our lives, taking our jobs, or becoming sentient, but by making our lives and work easier. For example, when I Googled “When will AI become sentient?” (and “When did Skynet become self-aware”, for comparison), I didn’t have to go through the results one by one, but instead read the summary generated by AI of the most relevant content at the top, with sources. (Spoiler alert: Opinions are mixed.)
There are hundreds of other examples of AI applications that are pretty boring but really useful. What’s much less boring right now is scaling and integrating AI throughout the organization. And this is where the AI backlash can be exploited.
Making AI Usefully Boring
Developers, engineers, operations staff, enterprise architects, IT managers and others need AI to be as boring for them as it has become for consumers. They don’t need it to be a “thing,” but rather something that is seamlessly managed and integrated into – and supported by – the infrastructure stack and tools they use to do their work. They don’t want to hear about AI all the time; they just want AI to work seamlessly for them, so it only works for customers.
