My Take on the AI Startup Scene
I’ve been in this industry for 20 years, and I’ve seen trends come and go. The current AI boom is no exception. As I read through the latest news, I stumbled upon an interview with Google VP Darren Mowry, and it got me thinking. He warns that two types of AI startups may not survive, and I have to agree with him.
LLM Wrappers: The Thin Line Between Innovation and Imitation
LLM wrappers are startups that take existing large language models and wrap them with a product or UX layer to solve a specific problem. Sounds simple, right? But Mowry says that’s exactly the problem. If you’re just counting on the back-end model to do all the work and not adding any real value, then you’re not differentiating yourself. I’ve seen this before – companies that think they can just slap a new interface on an existing technology and call it a day. It doesn’t work that way.
What Sets the Successful Ones Apart
Mowry mentions that startups like Cursor and Harvey AI are examples of LLM wrappers that have deep, wide moats. They’re not just wrapping a model with a pretty interface; they’re adding real intellectual property to the mix. That’s what sets them apart from the rest. I think this is a crucial point – if you’re not bringing something new to the table, then you’re just a me-too company, and those rarely succeed in the long term.
AI Aggregators: The Middlemen of the AI World
The other type of startup that Mowry warns may not survive is AI aggregators. These are companies that collect data from various sources and use it to train their own AI models. Sounds like a good idea, but Mowry says it’s not that simple. If you’re just aggregating data and not adding any real value to it, then you’re not creating a sustainable business model. I think this is a classic example of a company trying to be a middleman without adding any real value. It’s a tough sell, and it’s not something that I think will last in the long term.
The Importance of Differentiation
The common thread between these two types of startups is the lack of differentiation. If you’re not bringing something new to the table, then you’re just a copycat. And copycats don’t last long in this industry. I think Mowry’s warning is a wake-up call for startups to think about what sets them apart from the rest. It’s not just about using the latest technology; it’s about using it in a way that creates real value for your customers.
My Two Cents
I’ve been around long enough to see trends come and go. The AI boom is no exception. While it’s exciting to see new companies popping up left and right, I think it’s essential to take a step back and look at the bigger picture. What’s going to set these companies apart in the long term? Is it just a flashy interface, or is it real innovation? I think that’s what Mowry is getting at – it’s not just about being first to market; it’s about being the best.
