The Information Prices the AI Buildout: Financing the AI Revolution NYC
Capital used to chase AI like it was front row at a sold out show. Now it studies it like a ledger that can break you if you misread a single line. Founders feel it in the room. The pitch has changed. Less spectacle, more scrutiny. Compute costs hit harder. Energy is priced. Time compounds or it punishes.
That is the tension walking into The Information’s Financing the AI Revolution on April 27 inside the New York Stock Exchange. This is not about what AI can do. It is about what it costs, who funds it, and who gets squeezed out when capital tightens its grip. Ken Brown and Cory Weinberg are not curating noise. They are pulling together the people deciding how trillions move through this cycle.
The room builds early. Lynn Martin opens it from the exchange floor, grounding the conversation where capital meets consequence. Then Glenn Hutchins steps in, carrying the weight of private equity’s long view, followed by a shift into debt and dealmaking where Anish Shah and Hadley Peer Marshall map how AI is being financed beyond venture, into structured capital and infrastructure credit.
By the breakouts, the room fractures into sharper conversations. Alexa von Tobel, Alex Baker, and Farouk Hussein pull apart where new companies get funded next. Michael Harris and Jon Redmond step into the IPO question, not as theory but timing. In another room, Marc Boroditsky and Nick Robbins bring it down to the buildout layer, where capital meets deployment and the pressure shows up fast.
Later, the stack comes back together. Jason Tofsky, Jim Prusko, and Martin Fichtner frame how large pools of capital are positioning across infrastructure and global markets. Kathryn Kaminsky connects it to enterprise reality, where adoption meets budget. Then Mamoon Hamid closes the operator loop, translating what founders are actually facing when they go out to raise in this environment.
Around them, operators like Charles Fisher, allocators like Jon Redmond, and capital strategists across Morgan Stanley, Brookfield Asset Management, Temasek, Goldman Sachs, PwC, Hg Capital, Magnetar, CoreWeave, Nebius, Lambda, Discovery Capital, Inspired Capital, and Kleiner Perkins fill in the edges of the picture. This is not one lane of capital. It is the full stack, in one building, under one clock.
What sharpens here is simple. AI has moved past fascination and into financing. Venture is no longer enough. Debt is stepping in. Infrastructure is dictating timelines. Public markets are waiting, but watching closely.
Rooms like this do not broadcast decisions. They compress them. And somewhere between the opening bell and the last conversation on the floor, capital decides what the next phase actually looks like.