Is AI Actually Adding Value or Just Moving Costs Around?

Healthcare organizations are investing heavily in AI, with growing expectations that these technologies will improve productivity, reduce administrative burden, and ultimately lower the cost of delivering care. As AI moves from individual pilots to enterprise deployment, however, the economics are becoming more complicated.

AI itself can be expensive. Compute, infrastructure, licensing, integration, governance, monitoring, and implementation all create new costs, while the savings generated by AI are not always straightforward to capture. An AI tool may save clinicians hours of work or automate an administrative process, but those productivity gains do not necessarily translate into a reduction in overall spend.

This is creating a new challenge for healthcare leaders. Organizations need to look beyond individual use cases and understand the total cost of deploying AI at scale, where financial value is actually being created, and whether some investments are reducing costs or simply shifting them elsewhere within the organization.

This roundtable brings together leaders across healthcare, pharma, payers, technology, and finance to explore the real economics of enterprise AI and how organizations should determine which investments are genuinely creating sustainable value.

Join us to discuss:

• What is the true cost of deploying and operating AI at enterprise scale?

• When do productivity and efficiency gains translate into measurable financial savings?

• Where are organizations seeing the clearest return on AI investment today?

• How should leaders decide which AI use cases are economically sustainable enough to scale?