Kyndryl announced the release of its second annual People Readiness Report, a global study of 1,100 senior business and technology leaders across eight countries including India, revealing a notable drop in workforce AI readiness and a widening gap between AI expectations and execution.
The report illustrates what leaders are doing right to ride the AI surge, and that AI success is not driven solely by different strategies, use cases or technologies – it’s driven by whether organizations redesign work and manage those changes throughout their organizations. The data also shows that trust in AI can be built through deliberate operating model and governance changes.
According to the India report, only 25% of organizations believe their workforce is adequately prepared to successfully leverage AI - 12 point decline from 2025. The findings show a widening gap between AI ambitions and workforce readiness, as organizations continue to grapple with the challenge of equipping employees with the skills and capabilities required to thrive in an AI-driven environment.
At the same time, enterprises are taking significant steps to prepare for this shift. 69% of organizations surveyed in India have redesigned roles within or across functions to support AI adoption, while 33% have implemented formal budgets and proactive upskilling strategies. However, the pace of organizational transformation appears to be outstripping the development of governance, trust, and oversight frameworks.
“India has consistently demonstrated leadership in technology adoption, and enterprises are moving quickly to integrate AI into their operations,” said Lingraju Sawkar, Asia Pacific President, Kyndryl India. “While organizations continue to invest in AI technologies and expand use cases, scaling impact will require businesses to rethink how work gets done, redesign roles, build new capabilities and establish governance frameworks that foster trust and responsible adoption.”
Key India findings:
AI adoption accelerates, but readiness remains a challenge: 56% of Indian organizations report AI is deployed broadly or embedded in core business processes, compared to 36% respondents saying AI was fully integrated across their organisations in 2025. However, only 25% say their workforce is fully ready for AI, reflecting a 12-point decline year-over-year.
AI ambitions are outpacing organizational readiness: 81% of Indian leaders are concerned that AI advancement will outpace their workforce capabilities, governance frameworks and operating models.
AI agents introduce new governance considerations & trust gap: 84% of Indian organizations expect autonomous AI agents to make material decisions within the next 12 months, while only 28% fully trust autonomous AI systems operating without human oversight.
The findings come as companies accelerate AI adoption and invest heavily to realize value at scale. “Worldwide spending on AI is forecast to total $2.52 trillion in 2026, a 44% increase year-over-year, according to Gartner®, Inc., a business and technology insights company.”
“This is a critical moment for global enterprises as they race to adopt AI, redesign workflows and pursue innovation, yet they’re finding that their greatest assets – their people – need more attention,” said Kim Basile, CIO, Kyndryl. “The data shows that the organizations investing in people – whether it’s rethinking roles and workflows, dedicating resources for upskilling and retraining, or guiding employees through change – are experiencing positive outcomes at a much higher rate.”
“AI’s ability to reshape work is challenging organizations to reshape their workforce more rapidly than ever before,” said Mark Paulek, Chief Human Resources Officer, Kyndryl. “The leaders pulling ahead are aligning skills, roles and decision-making with how work is actually changing. When people understand their role in that system, trust and performance scale together.”
The study identifies a Pacesetters group, the 9% of global organizations that have done three things: they redesign roles around AI, implement change management so the workforce understands its new operating model and has guardrails in place, and have built workforce readiness.
These three behaviors are the operational foundations that consistently distinguish the organizations achieving the strongest results from AI. As they do these things, at each stage they are building the important governance frameworks. Pacesetters are roughly twice as likely to have fully implemented every governance dimension measured.
According to the global study, Pacesetters are:
1.5 times more likely to achieve AI-related revenue growth.
1.6 times more likely to report better innovation for products and services.
Global business leaders consistently rank workforce readiness among the most challenging aspects of AI adoption:
Just 23% of organizations think their workforces are fully ready for AI, a six-point drop from last year.
And 79% agree that the speed of AI will outpace their organizations’ workforce, governance and operating models.
The risk of falling behind is increasing as more organizations adopt autonomous AI agents.
81% of global organizations expect AI agents to make impactful decisions for their organizations within the next year, but today just 25% completely trust AI systems operating without human oversight.
Readying Workforces for AI-enabled Workplaces
The report identifies actions that organizations are taking to get their workforces ready for an AI-enabled workplace:
Redesigning roles for the future: 61% say their organizations have already redesigned roles, and 24% are creating new roles focused on AI management.
Addressing skills gaps: Half of leaders (52%) say it has become more challenging to find employees with the right skills to advance their AI strategy, and a third have fully implemented training programs focused on helping employees effectively collaborate with AI tools.
Building trust through governance: A third of organizations (33%) claim they have clear policies on which decisions AI can and can’t make, and 27% are using a registry and monitoring capabilities for all their AI systems. Organizations with stronger governance assert their workforces trust more in AI strategy and execution, and high-trust organizations are significantly more likely to report transformative outcomes from their AI investments.
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