PwC report finds AI is driving up healthcare costs by optimizing billing rather than cutting expenses
By
Tech Brew
Hot, fresh, and worth queueing round the block for.
Summary
A PwC report reveals that AI, rather than cutting healthcare costs as anticipated, is being used to increase medical bills by finding more granular ways to boost profits. AI is identified as one of five key drivers pushing healthcare cost growth up to 9% by 2027, matching the current highest rate since 2010-11. The report highlights that AI's efficiency is being applied to revenue optimization rather than cost reduction in healthcare.
Key quotes
· 3 pulledAI isn't only good at making tasks more efficient—it's also very good at finding more granular ways to boost a sector's bottom line.
AI is one of five potential drivers of health costs climbing up to 9% in 2027—matching this year's rate, the highest since 2010–11.
So far, one of its most widespread uses is making medical bills bigger.
You might also wanna read
PwC report: Nearly 70% of health plans say AI documentation tools are driving up healthcare costs
A new PwC report reveals that the projected medical cost trend is the highest in nearly two decades, with nearly 70% of surveyed health plan
Corporate America questions AI spending as costs rise and returns remain unclear
Corporate leaders are increasingly questioning whether massive AI spending is delivering real business value. Microsoft canceled most of its
Corporate America questions AI spending as costs rise and returns remain unclear
Corporate leaders are increasingly questioning whether massive AI spending is delivering real business value. Microsoft canceled most of its
Corporate America Is Starting to Ration AI as Cost Skyrockets
Corporate America questions AI spending as costs rise and returns remain unclear
Corporate leaders are increasingly questioning whether massive AI spending is delivering real business value. Microsoft canceled most of its
How companies are burning through AI tokens and facing soaring costs
Companies are rapidly burning through AI tokens—units that measure AI model usage—leading to soaring costs as they integrate generative AI i
