alt Hacker NewsAs someone working in the enterprise space with OAI, this still feels like we're in the top of the first inning.
Many teams remain anchored on equating AI with chat experiences, while a growing share of enterprise value is emerging from leasing compute clusters to run agentic workloads in containerized environments.
OpenAI has built a cloud-first architecture that supports this model. The desktop experience and applications are sexy, but enterprise usage will likely skew heavily toward asynchronous, background processing.
I know that people keep saying "we're early on here", but I take it as a negative signal that people keep thinking we are in the early innings here. Compared to previous generations of technology change, a great deal of time has passed, it should be a bit disconcerting that no one seems to have found a way to make money out of this yet.
Look at previous killer apps- they came out quickly and were raking in money very quickly. The Apple II went on sale on June 10th, 1977. Visicalc went on sale October 17th, 1979- 860 days separate the two. Apple IPO'd in 1980 with a 21% operating margin! Netscape Navigator 1.0 released December 15th 1994, Amazon.com made its first sale July 16th 1995- 214 days later. AMZN IPO'd May 15th 1997, 883 days after Netscape 1.0 released to the public (they had raised <10 million dollars to that point, but chose not to have a profit because they kept re-investing all of their profit into expanding the business).
We are already 1232 days since ChatGPT 1.0. So we're about 50% farther along than either of those killer apps. No one has figured out as good a business model for Generative AI as either of those were.
To use the other great technology transformation of the past 50 years, cell phones, I have a bit of trouble figuring out the right comparison to ChatGPT 1.0. I can work backwards from today to ChatGPT 1.0 opening up to the public, that's about the difference from the iPhone 3G (the first one with an appstore, the real killer app) to the launch of the Motorola Razr, to give you an idea of how fast mobile technology moved.
Do note that the Razr and the iPhone, like Visicalc, the Apple II, and Netscape 1.0 were hugely profitable for their companies, in a way that no one has demonstrated with Generative AI. Amazon is a bit of a special case, but they were not raising money, they were just re-investing cash that was being thrown off not as profits but into expanding the business. I don't believe that any AI company is generating cashflow the way that Amazon was in 1997, and the other companies mentioned here were GAAP-profitable.