Microsoft executive donates $5 million to NYU Stern so students learn AI by building with it, not just studying it

By The Manila Times (GlobeNewswire release) · November 10, 2026.

Jeff Teper, Microsoft's executive vice president of Apps and Agents, and Sandy Teper, both graduates of New York University's (NYU) Stern School of Business, have donated $5 million to their alma mater. The money launches the Teper Innovation Challenge, an annual competition in which student teams will build "AI-native solutions" (products designed around AI from the outset, not classic software with an add-on) for real business problems.

According to the release, the competition will start in the spring 2027 semester and will have separate undergraduate and graduate categories (including MBAs). It will award more than $100,000 a year in prizes. The donation will also fund greater student access to frontier technology and a "thoughtful" integration of advanced AI tools into the Stern educational experience.

The release adds a piece of context: Jeff Teper advised the faculty that developed one of the first agentic AI courses (agents capable of carrying out tasks on their own) at a business school. According to the release itself, he was also among the first members of Stern's Tech Board, and at Microsoft he launched SharePoint and turned it into a billion-dollar business. It is worth remembering that this is a press release: the facts come from the institution and the donors, without independent verification.

Our take. The figure is modest for the scale of AI, but the direction is what matters. Stern's dean, Bharat Anand, sums it up well: AI makes it easier for anyone to turn an idea into something tangible. If building costs less and less, the bottleneck is no longer knowing how to code but knowing what is worth building. That is judgment, and judgment is learned by trying, failing and measuring, not just in the classroom.

It should also be read with caution. The donor is a senior Microsoft executive, and access to "frontier technology" will probably run through a specific ecosystem; the release does not specify which tools will be used. This is not a criticism, but it is a reminder that AI education is largely being funded by those who sell these platforms. Universities would do well to maintain independent judgment and also teach the limits and risks of agents.

For employment, the short-term message is uncomfortable and clear: administrative and routine roles in companies will be the most exposed, and the transition will be hard for many. But training thousands of graduates now who can lead mixed teams of people and agents is precisely the lever that makes that transition end in something better. In the long term, if building stops being expensive, more people will be able to devote themselves to what they are passionate about rather than to what the market allowed them. A university competition does not change the world, but it points to the kind of education that abundance will need.