Chris Dixon wrote a great post discussing what’s next in the computing industry. Historically, there’s…
Data / AI / ML, News
Since its launch a few weeks ago, OpenAI’s ChatGPT has captured the imagination of users, entrepreneurs and investors alike. The quality of the chatbot’s content and conversational speaking style have convinced many that AI is finally ready for primetime. Some are even comparing ChatGPT’s launch to the iPhone App Store – a pivotal moment in […]
Chris Dixon wrote a great post discussing what’s next in the computing industry. Historically, there’s…
I’m fascinated by the Open Data movement, particularly when it comes to government where the…
Since its launch a few weeks ago, OpenAI’s ChatGPT has captured the imagination of users, entrepreneurs and investors alike. The quality of the chatbot’s content and conversational speaking style have convinced many that AI is finally ready for primetime. Some are even comparing ChatGPT’s launch to the iPhone App Store – a pivotal moment in the creation of the next big platform.
So, should entrepreneurs think of AI as the next new platform opportunity?
The most important question is how much value the underlying platform will keep for itself. History has shown that most platforms extract the bulk of the value for themselves, leaving only crumbs for the companies and developers building on top of the platform. If OpenAI remains the only game in town, we can expect to see a similar dynamic, even if their profit goal is capped given their unique deal with investors.
However, there is a good chance that several companies will offer similar AI platforms…in the same way that cloud computing is divided up between AWS (Amazon), Azure (Microsoft) and GCP (Google). OpenAI (with Microsoft as a partner), Google and Facebook are leading contenders to play an important role. Competition between these three companies (and potentially more) should limit a single company’s potential to maximize profits at the expense of companies building on top.
The second question is who will capture most of the new value being generated: incumbents or start-ups? The mobile platform heavily favored incumbents who went aggressively after the opportunity with smart M&A (Facebook and WhatsApp) and who shifted their products to a mobile-first interface (Google, Facebook).
We can expect incumbents to move just as aggressively in the AI opportunity. They’ll leverage their unique data sets, large user bases and balance sheets to get an edge, especially on the consumer side. But it might be a different story when it comes to enterprise software as there’s an opening for start-ups to create more value for their customers with vertical-specific AI products.
If that’s the case, how can an AI enterprise company create a differentiated product on top of large language models (LLMs) like OpenAI? They can differentiate with UI, data, underlying AI model levels…for example:
The next decade will bring exciting innovation in AI. While incumbents will capture lots of the value, we will also see many new billion-dollar startups created in this field.
P.S.: below is the ChatGPT response to my prompt – our human-generated blog might still have a fighting chance for some time 🙂
Data / AI / ML
This November marks three years since the launch of ChatGPT. That moment brought AI into the mainstream, with large language models (LLMs) seen as the breakthrough technology powering it. Since then, innovation in AI has been relentless — perhaps one of the fastest cycles we’ve ever witnessed in tech. It’s worth pausing to reflect on […]
It’s hard to believe that it has been three years since my first day at…
“It takes 10 years and $30m to become a great investor.” This quote has stuck…