Identify Enterprise Firms Most Likely to Spend on AI Projects

Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

Identify Enterprise Firms Most Likely to Spend on AI Projects

This article was a request from one of our Catalyst members. The Catalyst Advisory Program is a coaching program involving one-to-one advisory, weekly group Q-and-A with other Catalyst members, and a series of proprietary resources and frameworks based on insights from AI leaders at the world’s largest enterprises (AI adopters and buyers), and successful AI vendors and service providers. Learn more and apply emerj.com/catalyst.
Identifying “movers and shakers” in enterprise AI adoption is important.
Enterprise innovation leaders want to know which of their competitors are using AI - or which companies to watch when it comes to molding their own AI strategy.
AI consultants and services leaders want to know which companies are most likely to be good prospects for their offerings.
This week, I break down some simple rules of thumb to determine which companies (by size, industry, and other factors) are most likely to have AI budgets. I've broken this article down into positive factors (fac...

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