Raw LLM Responses

>Now when we start making AI powered automations I’ve been in the Enterprise Automation space my entire career (almost 10 years)…and have spent past couple years integrating AI into our solutions. What you’re talking about already exists, it’s just not as “sexy” as you would think. A lot of “AI powered automations” are simply using AI for processing of unstructured data as context/validation for more traditional automation solutions that are programmatic. Within the next year or two, we will continuously have more and more AI create these programmatic solutions “on the fly” as the unstructured data is synthesized. They’re calling it “dynamic automation” in the VC circles currently, all it’s really doing is taking more and more load off the human to do simplistic yet subjective validations. I’ve always said that Automation/AI RARELY automates 100% of ANYTHING…in fact, I advise not to even try as after a certain threshold you get diminishing returns from an enterprise perspective. What you use AI for is to AUGMENT processes and tasks, that augmentation requires less human involvement overall once implemented, sometimes up to a degree of 95% or more (where it’s considered “straight through processing” or STP) but that is honestly rare. Now the problem isn’t what AI will do, it’s already doing it and it’s only accelerating, the problem will be is there enough NEW WORK to be done by humans to satisfy that delta created by Automation/AI. Traditional principles say that yes, just like how agriculture was cornerstone of our jobs a century ago was the majority, whereas now it’s the minority. However, we’ve never had a technology that can theoretically “self-improve” (we still don’t, at least…not in any scalable way) so the past may not reflect the present.