At the Learning & Development Asia 2026 – Malaysia conference, HR, L&D, and business leaders gathered to discuss how to build a future-ready workforce in the face of rapid AI-driven change. The central question was how organisations can create workforces that are more productive, adaptable, accountable, and human.
According to the speakers, technology is transforming the workplace faster than many companies can update job descriptions, career paths, or development plans. One consistent message emerged: while technology can change how work gets done, it cannot replace the human judgement, context, relationships, and accountability required to make that transformation work.
Redesigning Work for the AI Era
The presenters challenged HR leaders to look beyond one-off training programmes and generic AI roll-outs, instead calling for a more integrated approach that starts with business needs and redesigns work at the task level. This approach involves identifying what AI can automate, simplify, or remove, and where human judgement, creativity, and relationships matter most.
Priya Sunil identified nine key learnings from the conference, including the need to diagnose problems before training, redesign work task by task, and turn AI use into business value. Another key learning was the importance of building capability across the workforce, such as AI fluency, critical thinking, and human accountability.
Learning #1 emphasized the need for HR to stop treating every business challenge as a training problem. Instead, organisations should diagnose the context and understand the problem properly before creating content. This involves asking harder questions, such as what outcome the business is trying to achieve and what is preventing people from achieving it.
Learning #2 focused on redesigning work before deciding which roles AI should replace. It involves breaking down work into tasks and identifying which tasks are repetitive and suitable for automation, which could be simplified with AI support, and which must remain human because they require judgement, creativity, relationships, or accountability.
By redesigning workflows around AI, they can remove low-value work and allow employees to create more value. This requires HR and L&D teams to partner more closely with business, technology, and operational leaders to define how roles should change and what employees will need to do differently once AI becomes part of everyday work.
Building an AI-Ready Workforce
Learning #3 highlighted the importance of distinguishing between using AI and applying it effectively. AI adoption becomes meaningful when it is connected to a specific business problem, embedded into an appropriate workflow, and supported by the right data, governance, and decision-making structure.
Learning #4 emphasized the need to build an AI-native workforce without writing off experienced employees.
A speaker noted that AI should extend human capability, not replace human responsibility. Employees must understand how to use AI safely and effectively, but they also need the confidence to challenge AI-generated outputs. A convincing answer is not necessarily a correct answer, and an automated recommendation is not necessarily a fair or appropriate decision.
Managers have an increasingly important role to play in teaching employees to question AI, not just use it. Staff need practical guidance in the flow of work, including when to use AI, what information should never be entered into a tool, and how to verify sources.
The goal is to help every employee become a responsible and critical user of AI, rather than simply turning them into technical specialists. This requires a shift in management behaviour, with managers asking questions like “How did you arrive at this answer?” and “What did you verify?”
Learning #5 emphasized the importance of verification and human oversight, particularly in areas such as recruitment, performance management, customer communication, and decision-making, where errors, bias, or poor judgement can have serious consequences.
Learning #6 discussed how to turn capability development into a business-led workforce strategy. It involves starting with the business need, not the development request, and understanding the context before the content.
HR and L&D need to identify the capabilities that will be strategically critical to the business, considering factors like market changes, customer base shifts, technology evolution, and operating model transformations. Only then can leaders decide the appropriate response, which may include training, hiring, internal mobility, job redesign, automation, manager coaching, process improvement, or new partnerships.
Learning #7 highlighted the need for organisations to create talent pathways, not standalone learning interventions. It involves connecting the entire employee lifecycle, from employer branding and university relationships to internships, graduate programmes, professional hiring, learning, career mobility, and succession planning.
By working with universities, offering internships, and involving leaders in early-career development, they can identify potential earlier and shape the behaviours, skills, and expectations that students will need in the workplace.
Internships allow employers to assess how people operate in a real work environment, considering factors like curiosity, learning fundamentals, taking ownership, and collaborating with others.
Learning #8 discussed how to make productivity sustainable by improving the system around people. It involves considering whether employees have clear priorities, efficient processes, appropriate tools, relevant skills, and a healthy culture.
