In the news. AI could help generate up to $900 billion in hospital care savings by 2050, Reuters reports, with many applications focused on administrative tasks. However, the same technology is intensifying disputes. Providers say AI improves documentation and reimbursement processes, while insurers argue that it can enable more aggressive coding and inflated claims, creating an “AI versus AI” dynamic in payment decisions. [Reuters]

As healthcare organizations continue to implement gen AI at scale, competitive advantage will increasingly hinge on how well they integrate AI into core workflows.

On McKinsey.com. About half of US healthcare organizations have implemented generative AI. As adoption scales, the focus is shifting to integration, measurable ROI, and the rise of agentic AI as a new value driver, write McKinsey’s Jessica Lamb and coauthors. Early gains are concentrated in administrative and operational work, where impact is clearer and risks are lower. But the next frontier lies in clinical applications, where unlocking value will require progress on data quality, governance, and workforce readiness.

Enter a new phase of AI adoption

In the news. Europe’s industrial companies risk falling behind in AI adoption as legacy systems and resistance to change slow transformation. So says the CEO of a global automation company in an interview with Bloomberg. The robotics firm is shifting investment toward the US and Asia, where companies are “more willing to disrupt themselves.” In Germany in particular, the CEO says, a deeply rooted engineering mindset favors incremental gains over transformational change—eroding competitiveness. [Bloomberg]

On McKinsey.com. European organizations share concern about falling behind North America and other regions as widening skills gaps outpace their AI adoption, write McKinsey’s Tania Holt, Tunde Olanrewaju, Ulf Schrader, and Maria Ocampo. While many leaders recognize the urgency, most remain focused on short-term workforce planning rather than treating skills as a strategic priority. The result is fragmented capability building, limited visibility into existing skills, and underinvestment in training. To stay competitive, European organizations can take a more systemic approach to aligning skills so they can deploy talent more effectively.

Mind the technology gap

Banks are hiring and streamlining

In the news. European bank executives expect AI adoption to lead to a head count increase of 4 percent on average over the next few years, according to a Bloomberg Intelligence survey of senior executives at 57 global banks. The gains—driven by hiring engineers and data scientists—run counter to fears of widespread job cuts, at least in the near term. Reductions are expected “to stay concentrated in routine, operations-heavy jobs,” with call-center and middle-office roles at more immediate risk. [Bloomberg]

On McKinsey.com. Corporate and investment banking is being reshaped as institutions restructure, streamline, and outsource operations, write McKinsey’s Matthieu Lemerle, Olivier Plantefeve, and coauthors. These shifts come amid market volatility, rising nonbank competition, and economic uncertainty. Sustaining strong performance will require bold simplification to improve productivity and effectiveness. Banks can respond by combining new approaches—such as AI and modern tech operating models—with proven levers that include front-office excellence, stronger performance management, workforce optimization, and tighter control of third-party spending.

Pursue radical simplification