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Hospital trade group pushes back on report linking AI to $942M in added health costs

The American Hospital Association is pushing back on a Blue Cross Blue Shield Association report that linked hospitals’ growing use of artificial intelligence-enabled documentation tools to higher healthcare spending, arguing the analysis does not prove AI is driving improper billing.

The Blue Cross Blue Shield Association estimated that coding-related changes resulted in $942 million in additional spending for participating Blue plans between 2023 and 2025 as hospitals increasingly classified patients as having more complex conditions.

But the AHA said Monday that the analysis lacks critical context and does not establish that hospitals incorrectly coded patients or that AI tools were responsible for the changes.

“The central question is not whether hospitals are reporting more diagnoses,” the AHA said. “The question is whether the patient’s medical record supports those diagnoses.”

The hospital group argued that Americans are living longer with more chronic conditions, while lower-acuity procedures have increasingly shifted from hospitals to outpatient settings. That leaves hospitals treating a greater concentration of seriously ill and medically complex patients, according to the AHA.

AI-enabled documentation technology, the group said, can help clinicians identify and record conditions that may previously have been underreported while reducing administrative burdens and providing a fuller picture of patients’ health.

The AHA also challenged the methodology behind the insurer group's conclusions, saying the BCBSA analysis did not review underlying medical records to determine whether diagnoses were supported and did not appear to identify which claims actually involved AI tools rather than traditional coding practices.

“Without answering those questions, the analysis does not demonstrate that hospitals coded patients incorrectly,” the AHA said. “It may simply reflect more complete documentation of increasingly complex patients.”

The AHA further argued that the $942 million estimate should be viewed in the context of overall healthcare spending, contending that increased inpatient coding intensity represents only a small portion of broader growth in commercial healthcare costs.

The dispute comes as hospitals and insurers increasingly deploy AI across healthcare, raising questions about how the technology could affect everything from patient care and administrative workloads to billing and healthcare costs.

HubSpot cuts 660 jobs as software company shifts operations around AI

HubSpot is cutting about 660 jobs as the software company reshapes its workforce and operations around artificial intelligence.

The cuts represent roughly 6% of HubSpot's workforce and are expected to be largely completed by the end of the year.

The company is also reorganizing its product and engineering operations as it expands the use of AI across its business and customer relationship management software.

HubSpot has increasingly introduced AI tools designed to automate work across marketing, sales and customer service, part of a broader shift among software companies toward products that can perform more tasks on users' behalf.

Google strikes massive power deal with Constellation as AI drives electricity demand

Google has struck a massive power agreement with Constellation Energy as the tech giant races to secure electricity for its growing artificial intelligence and data center operations.

The deal includes a 15-year agreement for 2,700 megawatts of existing Constellation generation and a separate 20-year agreement supporting upgrades at 11 nuclear units in Illinois, Pennsylvania and New Jersey, according to Reuters.

Constellation plans to invest more than $4.3 billion in the nuclear upgrades, which the companies say will add 890 megawatts of capacity to the PJM electric grid — roughly the output of a new nuclear reactor without building an additional plant.

The companies also plan to use Google's AI technology to improve energy operations, including grid planning, equipment monitoring and outage management.

The agreement comes as the AI boom drives enormous new electricity demand from data centers, pushing technology companies to secure long-term power supplies and invest in additional generating capacity.