Most banks treat artificial intelligence like a streaming subscription: pick a vendor, pay the monthly bill, hope the price doesn’t jump. PNC Financial Services Group is taking a different route.
The Pittsburgh-based lender plans to develop most of its AI technology independently, without leaning on outside vendors, according to Bloomberg. CEO Bill Demchak has a name for the project: an “AI factory.”
That label fits. The plan involves acquiring data centers and buying Nvidia GPUs, the specialized chips that power modern AI. PNC wants to use that hardware to build its own large and small language models tuned specifically for banking.
What PNC is actually building
PNC’s menu is narrow and practical. The bank is targeting uses like fraud detection and call-center automation. These are high-volume, repetitive tasks where a model trained on banking data could, in theory, outperform a general-purpose tool.
Demchak’s comments came at investor conferences, and Bloomberg highlighted the strategy in an October 15 report. The bank isn’t cutting off the outside world entirely. PNC still maintains selective external partnerships, but the dominant intent is self-sufficiency.
The numbers behind the bet
PNC holds $603 billion in total assets. That gives it the balance sheet to fund its own infrastructure, a luxury smaller regional lenders may not share.
The bank has mapped out 171 potential automation opportunities. Together, those represent $1.4 billion in addressable spend over the 2025 to 2030 window. Addressable spend refers to the pool of existing costs that automation could potentially shrink or replace.
PNC expects these AI initiatives to deliver an additional 40 points of operating leverage over the same period. Operating leverage describes how much faster revenue grows than expenses. When a bank adds points of it, more of each new dollar earned drops to the bottom line instead of getting eaten by overhead.
There’s a track record behind the projection. Earlier automation work produced 30 points of operating leverage in retail and care-center operations between 2022 and 2025.
Why skip the vendors
The core motivation is cost control. Many external AI providers charge on a usage basis, meaning the more you use the product, the more you pay. For a bank hoping to automate across 171 use cases, usage-based pricing is a meter that never stops running. PNC’s strategy aims to sidestep those future costs by owning the infrastructure outright.
The second concern is vendor lock-in. Once a bank builds its workflows around one provider’s models, switching becomes expensive and slow. If that vendor raises prices, changes terms or falls behind competitors, the bank is stuck.
What this means
For PNC shareholders, the key question is execution. Building data centers and training proprietary models requires capital, talent and time. The payoff, if it comes, shows up in efficiency metrics over several years.
Nvidia sits on the other side of this equation. Whether banks rent AI through vendors or build it themselves, the chips have to come from somewhere. PNC’s plan simply means the bank is buying the hardware directly rather than paying for it indirectly through someone else’s invoice.
The measurable markers to track are straightforward. Watch for progress on the 171 identified opportunities, any disclosed savings against the $1.4 billion addressable spend, and whether operating leverage gains continue at the pace of the 2022 to 2025 period.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.