New research across Asia-Pacific & Japan suggests that only half the region’s employees feel ready for AI, while leadership is more bearish.
APJ is one of the world’s most active regions for AI investment. From Japan’s national AI strategy to India’s fast-expanding technology sector, the appetite for AI-led transformation is real, well-funded and accelerating. The question organizations are less willing to sit with is whether their workforces are actually prepared to deliver on it.
New research across eight APJ markets suggests many are not. Only 52 percent of employees across the region feel equipped to adapt to AI and automation, a figure that drops to 30 percent in Japan and climbs to 74 percent in India. Leadership teams, by contrast, report high confidence in their organisations’ AI readiness. That divergence is where transformation risk accumulates, and the research puts a financial cost to it.
The findings come from The Hidden Number: The Economic Value of Culture and Capability, a new report published by workforce-readiness solutions provider Cornerstone OnDemand, drawing on surveys of 1,297 HR leaders and 2,435 employees across Australia, New Zealand, India, Indonesia, Singapore, Japan, South Korea and the Philippines.
The report is built around Cornerstone’s Culture and Capability Index, a measurement framework that assesses organisational performance on a scale of 0 to 100 across six workforce areas: skills visibility, learning, career mobility, culture and trust, leadership, and AI and workforce planning.
Scores are drawn from parallel surveys of HR leaders and employees, allowing the research to compare how capability is perceived at a leadership level against how it is actually experienced on the ground.
This article draws on those findings, examining where the confidence gap is widest, which workforce cohorts are most exposed, and what it means for organisations trying to execute AI transformation at regional scale.
The scale of the AI readiness gap across APJ
Across the region, AI readiness shows the largest HR leader-employee gap. HR leaders are highly confident that their organizations can integrate AI and automation, while employees across APJ do not feel prepared for these changes. This limits organizations’ ability to anticipate talent needs, optimise workforce allocation and translate capability into productivity at scale, constraining the full realisation of economic value.
As mentioned above, just 52 percent of employees across APJ feel equipped to adapt to AI and automation, with wide variation across markets: from 74 percent in India to 30 percent in Japan. Readiness is also higher among younger employees than older cohorts, 59 percent versus 36 percent, and varies significantly by industry, with 69 percent of employees in IT and telecommunications feeling prepared compared with 31 percent in retail.
The AI blind spot is the region’s most significant transformation risk and is a critical execution challenge for CIOs and business leaders.
Workforce capability is not experienced uniformly across generations. Based on employee-reported scores, a clear pattern emerges across APJ: capability experiences are strongest among younger cohorts and decline through mid- to late-career stages.
While Gen X records the lowest level of capability experience overall at 63.2, Baby Boomers follow closely at 62.3, indicating that the challenge extends beyond a single generation. In contrast, Millennials at 67.9 and Gen Z at 67.5 report consistently stronger capability experiences across most areas.
The decline is most visible in areas critical to transformation and execution. On AI and Workforce Planning, Gen X scores 54.4 and Baby Boomers 44.2. On Leadership and Change Capability, Gen X scores 60.5. On Culture, Engagement and Trust, Gen X scores 64.0, below younger cohorts. On Skills Visibility, scores decline from 71.7 among Gen Z to 65.5 for Gen X and 64.9 for Baby Boomers.
The gap is largest at precisely the career stages carrying the most execution responsibility. Mid-career and senior employees, the cohorts translating AI strategy into daily practice and managing teams through change, are the least supported by current capability systems.
Skills development confidence follows a similar pattern. While 65% of employees across APJ believe their organisation is helping them build skills for the future, confidence drops sharply in some markets, including 39 percent in Japan. The same pattern appears across generations, with higher confidence among Gen Z than older cohorts, 75% versus 60 percent.
Why the confidence gap is a financial problem
Across all APJ markets, HR leaders rate overall capability more than 15 points higher than employees. This indicates that capability systems may be well-designed but not consistently delivered or experienced across the workforce. That gap between intent and reality is where performance risk sits.
High-confidence markets such as India and Indonesia report strong capability but large gaps with employee experience. Mid-band markets such as Australia and Singapore show solid foundations but uneven execution. Lower-confidence markets such as Japan report lower overall capability but closer alignment between leader and employee assessments.
Capability appears strongest in areas such as Learning Activation and Skills Visibility. However, it weakens significantly in Leadership and Change Capability, Culture, Engagement and Trust, and AI and Workforce Planning. This suggests that organisations are better at designing capability than activating it at scale.
These capability gaps translate directly into workforce outcomes: higher attrition, increased absenteeism, slower hiring cycles, and reduced productivity. This is where the Hidden Number emerges, the cost of workforce capability gaps embedded within everyday operations.
Workforce capability is not experienced uniformly across markets, generations, roles, and industries, which means a one-size-fits-all approach to workforce strategy is inefficient. Organisations that take a more targeted approach to capability building are better positioned to allocate investment where it drives the greatest economic return, address the most critical gaps, and accelerate impact across workforce outcomes.
In particular, gaps across key workforce segments, including mid-career talent and leadership layers, represent high-leverage opportunities for capability investment.
The AI readiness gap will not close through technology deployment alone. It closes when the workforce conditions supporting adoption, trust, leadership credibility, and relevant learning are in place at the levels where execution actually happens.
The full findings, including market-by-market AI readiness scores, generational breakdowns, and practical steps for closing the confidence gap between leadership ambition and workforce experience, are available in The Hidden Number: The Economic Value of Culture and Capability, available for download now.
Organizations can also benchmark their own capability score and estimate their economic opportunity using the Culture and Capability Index Calculator.
Brenton Smith is Vice President, Asia-Pacific & Japan, Cornerstone OnDemand. At Cornerstone, we believe in AI that works in the service of people, amplifying their judgment to drive high-performing, future-ready organizations forward. Cornerstone Workforce AI™, the intelligence platform for workforce readiness, brings together workforce and labor market data into a proprietary Cornerstone People Graph™, translating signals into intelligence, targeting learning where it matters, developing critical skills, and surfacing hidden talent. Delivered as an open, enterprise platform across whatever application your people work in every day, Cornerstone Workforce AI is built for scale, security, and trust, with certified AI guardrails. As an industry leader, Cornerstone is helping approximately 7,000 organizations, 140M+ users, across 186 countries build continuous workforce readiness.
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