I don't know how to precisely quantify the value I get, but Im happily paying $20/mo for OpenAI tools. I'll never again "read documentation" directly nor will I sift through useless SEO optimized bog-spam to learn about a new hot thing. Between these 2 activities, thats pretty much all I use the internet for in the first place and AI has become a core part of my life/work process. If this works out to be all AI is ever good for its still a win for me. I don't remember the last time I used the standard Google search for something.

The article highlights several intriguing points. Notably, OpenAI reports that 75% of its revenue comes primarily from consumers, rather than corporate subscriptions—a telling statistic.

Additionally, one-third of American employees now use AI for work at least once a week, with even higher adoption rates in certain roles. A recent study reveals that 78% of software engineers in the U.S. utilize AI weekly, up from 40% in 2023, while 75% of HR professionals do the same, an increase from 35%.

I was skeptical at first, still am somewhat. However, I've been using OpenAI's app and its new search engine feature I can't see myself going back to traditional search engines.

I use copilot with Claude for software development, I cannot see myself going back to traditional autocomplete.

However, I do not see how else AI will revolutionize anything else especially now that they've hit the limits of what is currently possible with the technology of our time.

In the 1980's, managers at major corporations doubted (and sometimes actively fought) the use of personal computers by their professional employees. There was sunk cost in mainframes, terminals and business software--and PC's were thought to be just a sideshow. Even older UNIX engineers fought the use of PC's.

For a lot of the engineering profession, engineering design work was still being done on paper--CAD was not yet readily available--and everyone was familiar with those processes that had existed for decades. CAD was expensive and it didn't fit the workflow.

In the early 90's, things really started to change rapidly. Engineers had to completely change the way they worked. Those who didn't or couldn't moved to other jobs.

But even in 1995, a mix of economic, social and technology experts were doubtful that the Internet would ever have an impact on our economy or the way we live.

https://www.newstatesman.com/science-tech/2016/08/25-years-h...

The stock markets didn't ignore the changes. The late 90's was a great time to be in the market.

But in 1999, the stock market bubble burst (the Dot-Com crash). The profit projections were just too optimistic. For those who got out, it was party time.

Despite the crash, it turned out that the technology (computers, networks , software, and then phones) was real and incredibly disruptive--just not as profitable as the market was predicting.

Nevertheless, companies like Google, Apple, Microsoft, Facebook and Amazon (and others) grew to become the backbone of our economy. The capability that grew out of that era killed a lot of jobs (e.g. mall jobs), but opened up entirely new economic opportunities, e.g. social media and software cybersecurity.

AI is just the next disruptive phase of this technology timeline. Jobs that were common 20 years ago will become less common, and professionals will need to learn to find new ways to work, make money and build careers--probably using some form of AI.

Yes, AI will be transformative and there is no reason to think it won't be if you pay attention to the history of the past 3 or 4 decades. Will the stock market bubble burst? Maybe...I am certainly paying attention.

https://archive.is/KRtz2

The AI to look at is Waymo's computer driven cars. They're here, they work, but Uber and Lyft aren't going away in the cities that Waymo drives in. The same goes for everything an LLM can do today. Nevermind the possibility of GPT-5, 6 or 7. The systemic effects of where they're at today are going to take a while to iron out.