Why the Next Generation of AI Startups Will Be Built Around Problems, Not Models
Access to artificial intelligence has never been easier. Nowadays, virtually every startup can implement a highly effective language model, automate routine processes, or create an intelligent assistant through existing API services. Even though such availability has helped decrease the barriers to entry in terms of implementing technologies, it introduced a new problem - differentiation.
Winning startups won't be those that utilize the most cutting-edge AI model. It will be the startups that solve problems that are crucial enough for their customers to invest money in order to remove those.
Here the venture studio approach is especially helpful. Instead of following technology trends, venture studios focus on the validation of market problems prior to scaling products. Artificial intelligence becomes a means to build better companies rather than the companies themselves.
In Aperture Venture Studios, this mindset is seen in developing solutions that solve real-life problems in any industry, be it efficiency in processes, improvement in enterprise workflow or making better decisions using data. Again, all these have one thing in common – the focus should always be on business value and not just AI.
One other characteristic of an ideal startup in AI is speed. Smaller teams are able to develop their products in a matter of weeks, not months. But then again, speed alone will not make sense without constant customer feedback. Each and every prototype must simply ask the question, “Does this solve the problem?”
As artificial intelligence technologies advance, the edge will be in knowledge of domains, proprietary processes, and customer insights. Algorithms will get better and become commoditized, but industry expertise and problem-solving skills will not be easily duplicated.
This is the world of the future where startups with a technical edge and solid execution win out. AI might make up the product, but problem-solving will make the company last.















