At the ETHRWorld Future Skills Conference in June 2026, HR and technology leaders warned that scaling artificial intelligence adoption requires a renewed focus on human judgment, contextual thinking, and domain depth. As AI automates routine tasks, organizations must invest in specific human capabilities that machines cannot replicate to maintain business performance and manage risk.
Defining human capability in AI adoption
Ashish Desai, associate professor of information management and analytics at SPJIMR, emphasized that AI is merely a resource, not a complete capability. True capability emerges only when technology is combined with human capacity and judgment. "AI is only a resource. You need to have the capacity to use it," Desai said. He added that future adoption will depend on ethics, governance, and the ability to determine what is appropriate for a specific context.
Building judgment and accountability
Krishnan Nilakantan, chief learning officer at UST, argued that human judgment will become the primary differentiator as people and AI systems work together. He defined this through two dimensions: orchestration intelligence, which involves guiding AI and refining its output, and edge judgment, which is choosing the right course of action when multiple options exist and AI cannot decide. "AI may give you an output that is correct, but not right," Nilakantan said.
He noted that organizations cannot build this skill through conventional classroom training alone. Instead, companies need methods like red-team exercises, decision reviews, and decision autopsies to help employees understand why choices were made. To support this structural shift, learning leaders are exploring new frameworks, such as an AI Learning Path for Training & Development Managers, to help employees build these advanced capabilities.
Managing risk and domain knowledge
Soonu Wadewala, head of human resources at Axis Securities, stressed that judgment is critical in financial services, where decisions carry high market, execution, and reputational risk. She said employees must be trained to pause, reflect, and understand the drivers behind their decisions before taking action. "Decision-making or judgment is a behavior," Wadewala said.
She explained that Axis Securities focuses on building self-awareness among employees so they can evaluate whether their choices are shaped by experience, values, consequences, context, or collective input. Desai echoed this need for foundational expertise, warning against trivializing domain knowledge in the rush to build technical AI skills. He noted that sectors like engineering and financial services still require professionals with strong core business understanding, not just data science skills.
Redefining professional identity
Nilakantan pointed out that the technology industry has often focused too heavily on specific tools rather than the identity shift employees are experiencing. Professionals who historically defined themselves by technical labels, such as Java developer or SAP consultant, must now redefine the value they bring to their work.
He called for a focus on irreducibly human skills, including vision clarity, context fluency, and trust architecture. Context fluency involves understanding domain depth and unspoken signals in a workplace setting. Trust architecture is the human ability to create confidence in the outputs produced through human-AI collaboration.
Yogesh Malik, vice president and head of Jio-bp Academy, moderated the discussion. He added that organizations must encourage employees to collaborate with AI rather than compete with it, anchoring decision-making in human values and organizational purpose.
Why this matters for HR professionals
HR leaders must redesign performance and training frameworks to evaluate and reward these specific human capabilities. As AI handles more routine outputs, the most valuable employees will be those who can apply judgment, understand context, and take accountability. To prepare for this shift, HR teams can explore resources like the AI Learning Path for HR Managers to align talent strategies with these emerging organizational needs.
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