Despite the number of potential innovative applications, industry leaders such as Microsoft and Google still find it challenging to create appealing AI products. This is an advantage for top talent and startups in the AI space, as these companies are eager to find generative AI products and solutions with the necessary “ingredients.” As described in a Spring 2024 Bloomberg article, these components include “computing power, top-of-the-line AI models, trustworthy and easy-to-use products and ways of getting them to people.”
Columbia Business School Professor Dan Wang, who researches organizational innovation and entrepreneurship, encourages the collaboration between corporations and startups. “They need each other, especially in a space like AI, which requires engineering expertise and lots of computing power,” he said.
The opportunities available for talented entrepreneurs and specialists in AI are one of the reasons why Columbia Business School continues to enhance its curriculum with AI-focused courses. Read more about how large companies are investing in AI and how they can mitigate risks by working with startups.
Mentioned Faculty
Dan Wang
Dan Wang is Lambert Family Professor of Social Enterprise and (by courtesy) Sociology at Columbia Business School, where he is also the Co-Director of the Tamer Institute for Social Enterprise and Climate Change. His research examines how social networks drive social and economic transformation through the analysis of global migration, social movements, organizational innovation, and entrepreneurship.