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Kyndryl Report: The Rising Returns on AI Investments Amid Dropping Readiness

Kyndryl's recent report uncovers a compelling narrative about the current landscape of artificial intelligence (AI) in enterprises. With 64% of organizations reporting tangible returns on their AI investments—an impressive 10-point increase since 2025—the momentum for AI adoption continues to surge. However, this enthusiasm is shadowed by a troubling decline in the readiness of companies to address the challenges and risks linked to these technological advancements.

Current Landscape of AI Deployments

As businesses increasingly integrate AI into their workflows, moving beyond mere pilot programs, the expectations are high. This year’s findings come from a comprehensive survey involving 3,700 senior business leaders across 21 countries, revealing that while organizations are eager to capitalize on AI's potential, they simultaneously struggle with the preparedness to manage its complexities. The average readiness for external risks has alarmingly dropped by 7 points to just 24%, indicating that leaders may be overwhelmed by the pace of change and the demands of innovation.

Convergence of Opportunities and Challenges

Martin Schroeter, Kyndryl's Chairman and CEO, notes, “As AI creates significant opportunity, organizations are focusing on how to make early returns sustainable.” This sentiment highlights a growing urgency among enterprises to ensure that their rapid AI implementations can yield long-term benefits rather than short-lived successes. Emerging reports consistently indicate that AI ambitions are outpacing organizational readiness, causing a stressful environment for leaders trying to balance innovation with risk.

Shifts in AI Strategies

Interestingly, the report illustrates significant shifts in how organizations are viewing their AI strategies. There has been a 13-point decrease in the number of firms identifying as being in an experimentation phase, dropping to 49%. Moreover, nearly half of the surveyed leaders (48%) have made substantial changes to their AI approaches within the year, reflecting a strong recognition of the need for adaptability in this fast-evolving field.

Concerns Over Security and Cyber Threats

Security issues remain at the forefront of these concerns, with a notable decline in confidence regarding preparedness against cyber threats. Only 26% of organizations reported they were fully ready to tackle cyberattacks, marking an 11-point drop from the previous year. Despite recognizing that their AI systems can help them identify security threats more effectively, many leaders express anxiety about their overall capacity to respond to such risks.

Evolving Business Models

The report also points to the challenges AI poses to established business models. The concern about competitive disruption—particularly from emerging AI technologies—has intensified, with readiness in this area slipping 10 points to 23%. The findings echo a broader anxiety faced by industries such as retail and finance, where the integration of AI threatens to redefine traditional customer interactions and operational models.

The Infrastructure Paradox

The report highlights a critical paradox: while 71% of leaders consider their IT infrastructure to be either mostly or fully modernized, nearly two-thirds of Chief Information Officers (CIOs) believe that their tech foundations still require significant overhauls to harness AI effectively. This indicates a pressing need for organizations to not only upgrade their infrastructure but to ensure it aligns fully with the increasing demands of AI technologies.

It's clear from the findings that while enthusiasm for AI is high, the systemic issues pertaining to readiness and risk management remain a significant hurdle for organizations. As the complexity of technology continues to escalate, leaders are pressed to adopt a proactive approach—focusing on governance, talent adaptation, and technological enhancements—to thrive in the AI era.

Conclusion

The Kyndryl Readiness Report underscores that the journey towards sustainable AI success is marked by both remarkable opportunities and formidable challenges. As organizations strive to balance the drive for returns with the realities of operational risks, the ongoing evolution of their strategies will ultimately dictate how effectively they can leverage AI to their advantage.

For those interested in the full scope of findings and analysis, visit Kyndryl's official site.