Scaling AI Safely Will Define Success for Healthcare Leaders in 2026

Kyndryl (NYSE: KD) released its 2025 Healthcare Readiness Report on March 5, 2026, finding a large gap between AI ambition and safe, scalable adoption in healthcare.

Rhea-AI Summary

Kyndryl (NYSE: KD) released its 2025 Healthcare Readiness Report on March 5, 2026, finding a large gap between AI ambition and safe, scalable adoption in healthcare. Key metrics: 76% report more AI pilots than they can scale, 55% worry about keeping pace with regulation, 30% feel prepared, 31% cite regulatory barriers.

Kyndryl launched a policy as code capability and named collaborations with Servei de Salut de les Illes Balear and University of Liverpool CHIL to advance trusted, auditable AI in clinical environments.

Positive

• Launched policy as code capability to convert rules into machine-readable policies
• Named collaboration with Servei de Salut de les Illes Balear for clinical-genomic AI platform
• Collaboration with University of Liverpool CHIL to apply Agentic AI Framework

Negative

• 76% of healthcare organizations report more AI pilots than they can scale
• 55% of healthcare organizations are concerned about keeping pace with regulation
• Only 30% of healthcare organizations feel prepared to adapt to evolving policy
• 31% cite regulatory and compliance concerns as a key barrier to scaling AI

Argus Mar 5 session

+2.82% close to close Open Argus

Details

News Market Reaction – KD

In the Mar 5 session, KD gained 2.82%, reflecting a moderate positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement highlights Kyndryl’s push to make AI in healthcare safer and more compliant, empha...

Analysis

This announcement highlights Kyndryl’s push to make AI in healthcare safer and more compliant, emphasizing policy-as-code governance and real-world collaborations. It builds on prior AI initiatives in workflow governance, SAP modernization and healthcare partnerships. Investors may track how many healthcare customers adopt these capabilities, whether pilot projects transition into scaled deployments, and how AI-related offerings contribute alongside existing services, while also monitoring broader financial performance and regulatory disclosures for execution risks.

Key Figures

Concerned about regulation: 55% Prepared to adapt: 30% AI pilots exceeding capacity: 76% +2 more

Concerned about regulation

55%

Healthcare organizations concerned about keeping pace with policy and regulation

Prepared to adapt

30%

Healthcare organizations feeling prepared to adapt to evolving regulation

AI pilots exceeding capacity

76%

Healthcare organizations reporting more AI pilots than they can scale

Regulation as barrier

31%

Organizations citing regulatory and compliance concerns as key scaling barrier

Report year

2025

Reference to the 2025 Healthcare Readiness Report

Previous AI Reports

5 past events · Latest: Feb 24

Same Type 5 events

1. Feb 24

   Healthcare AI collaboration

   24h Move

   +2.1%

   Teamed with University of Liverpool to co-develop healthcare AI blueprints.

2. Feb 16

   AI skilling initiative

   24h Move

   +11.0%

   Expanded AI education and skilling programs tied to a large India commitment.

3. Feb 11

   AI governance launch

   24h Move

   +9.0%

   Introduced policy-as-code to govern agentic AI in regulated environments.

4. Jan 27

   SAP AI CoE

   24h Move

   -2.5%

   Established SAP Center of Excellence for agentic AI-driven transformations.

5. Jan 21

   SAP AI modernization

   24h Move

   +1.1%

   Unveiled Clean Field approach using agentic AI for SAP migrations.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

ai, policy as code, agentic ai, clinical‑genomic analysis

4 terms

ai technical

"are embracing AI to enable modernized, high‑quality patient care."

Artificial intelligence (AI) is technology that enables machines to mimic human thinking and learning, allowing them to analyze information, recognize patterns, and make decisions. For investors, AI matters because it can improve how businesses operate, create new products, or identify opportunities faster and more accurately than humans alone, potentially impacting company success and market trends.

policy as code technical

"launched its policy as code capability, which converts regulatory requirements"

Policy as code means writing company rules and compliance requirements as programmable code that systems can automatically check and enforce. Think of it like turning a paper rulebook into a thermostat that keeps operations within set limits. For investors this matters because it reduces human error, speeds audits and deployments, and lowers the risk and cost of regulatory breaches—making governance more predictable and scalable across technology and operations.

agentic ai technical

"These policies govern how agentic AI workflows operate, enabling consistent"

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

clinical‑genomic analysis medical

"platform that supports advanced clinical‑genomic analysis, helping accelerate diagnosis"

Clinical-genomic analysis combines a patient’s medical information (symptoms, test results, outcomes) with their genetic data to find patterns that explain disease behavior, predict who will benefit from treatments, or identify diagnostic markers. For investors, it matters because those insights can speed up drug development, reduce the risk of failed trials, enable targeted therapies or diagnostics that command premium prices, and therefore affect a company’s future revenue and valuation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Kyndryl Readiness Report: Healthcare organizations that modernize and strengthen AI governance will be equipped to meet regulatory demands and patient care expectations

NEW YORK, March 5, 2026 /PRNewswire/ -- Kyndryl (NYSE: KD), a leading provider of mission-critical enterprise technology services, today released findings from its Healthcare Readiness Report that reveal healthcare organizations navigating intense operational pressures, growing regulatory complexity and rising expectations are embracing AI to enable modernized, high‑quality patient care.

The healthcare industry report shows a widening gap between healthcare organizations' ambition to adopt AI and their ability to scale it safely and compliantly. In fact, more than half (55%) of healthcare organizations are concerned about keeping pace with evolving policy and regulation, while only 30% feel prepared to adapt. At the same time, 76% report having more AI pilots than they can scale, with regulatory and compliance concerns cited by 31% as a key barrier, underscoring the challenge of moving from experimentation to enterprise-wide impact.

To help healthcare organizations move from AI experimentation to trusted, scalable AI, Kyndryl recently launched its policy as code capability, which converts regulatory requirements and operational controls into machine‑readable policies. These policies govern how agentic AI workflows operate, enabling consistent enforcement, auditability and trust as AI is embedded into clinical and operational environments.

"Healthcare organizations are operating in one of the most complex regulatory environments in the world, and as AI becomes embedded into clinical and operational workflows, compliance can't be an afterthought. Our policy as code capability allows healthcare providers to translate regulatory, security, and organizational policies directly into their digital and AI systems," said Christine Landry, Global Vice President for Healthcare, Kyndryl Consult. "Enabling these guardrails not only helps ensure consistence compliance but also strengthens resilience by reducing operational risk and helping systems withstand evolving cyber and privacy threats. This gives clinicians and administrators greater confidence that compliance, safety, governance and protections are built in from the start, not bolted on later."

Kyndryl is working with healthcare organizations globally to modernize operations and support responsible AI adoption. For example, Servei de Salut de les Illes Balear (the Balearic Islands Health Service) is collaborating with Kyndryl to develop an AI‑enabled platform that supports advanced clinical‑genomic analysis, helping accelerate diagnosis while aligning with their security and data protection requirements.

Kyndryl also recently announced a collaboration with the University of Liverpool's Civic Health Innovation Labs (CHIL) to apply its Agentic AI Framework alongside academic research expertise in exploring next‑generation healthcare technologies. The initiative aims to move AI beyond pilots by co‑developing practical blueprints that support patient engagement and help translate AI innovation into scalable, resilient healthcare outcomes.

For more insights, view the full 2025 Healthcare Readiness Report. 

About Kyndryl  
Kyndryl (NYSE: KD) is a leading provider of mission-critical enterprise technology services offering advisory, implementation and managed service capabilities to thousands of customers in more than 60 countries. As the world's largest IT infrastructure services provider, the company designs, builds, manages and modernizes the complex information systems that the world depends on every day. For more information, visit www.kyndryl.com.

Kyndryl press contact    
press@kyndryl.com   

Forward-Looking Statements

This press release contains "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Such forward-looking statements often contain words such as "aim," "anticipate," "believe," "could," "estimate," "expect," "forecast," "intend," "may," "objectives," "opportunity," "plan," "position," "predict," "project," "should," "seek," "target," "will," "would" and other similar words or expressions or the negative thereof or other variations thereon. All statements other than statements of historical fact, including without limitation statements concerning the Company's plans, objectives, goals, beliefs, business strategies, future events, business condition, results of operations, financial position, business outlook and business trends and other non-historical statements, are forward-looking statements. These statements do not guarantee future performance and speak only as of the date of this press release. Except as required by law, the Company assumes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise. Actual outcomes or results may differ materially from those suggested by forward-looking statements as a result of risks and uncertainties, including those described in the "Risk Factors" section of the Company's most recent Annual Report on Form 10-K and quarterly report on Form 10-Q for the quarter ended December 31, 2025, and may be further updated from time to time in the Company's subsequent filings with the Securities and Exchange Commission.

 

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SOURCE Kyndryl

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Kyndryl (KD) report about healthcare organizations' AI readiness on March 5, 2026?

Kyndryl reported a wide gap between AI ambition and safe scaling among healthcare groups. According to the company, 76% have more AI pilots than they can scale and only 30% feel prepared to adapt to evolving regulation.

What is Kyndryl's policy as code capability and how does it help healthcare (KD)?

Policy as code converts regulatory and operational controls into machine-readable rules for automated enforcement. According to the company, this enables auditability, consistent enforcement, and built-in governance for agentic AI workflows in clinical settings.

How do regulatory concerns affect AI scaling in healthcare, per Kyndryl's report (KD)?

Regulatory complexity is a major scaling barrier: 31% cite compliance concerns specifically. According to the company, 55% are worried about keeping pace with policy while only 30% feel prepared to adapt.

What partnerships did Kyndryl (KD) announce to advance healthcare AI adoption?

Kyndryl named collaborations with Servei de Salut de les Illes Balear and University of Liverpool CHIL to co-develop AI platforms and blueprints. According to the company, these initiatives aim to move AI beyond pilots to scalable, resilient use.

How might Kyndryl's work impact clinical-genomic analysis for healthcare providers (KD)?

Kyndryl is collaborating on an AI-enabled platform to accelerate clinical-genomic diagnosis while meeting security requirements. According to the company, the work supports faster diagnosis aligned with data protection and operational controls.