Redesigning Roles in the AI Era: How L&D Can Help People Grow With the Job

Remember when a job description could sit quietly in a folder for three years without anyone questioning it? Those days are becoming increasingly difficult to defend.

AI is changing how work gets done. Tasks that once took hours can now take minutes. Administrative work is being automated. Employees are working alongside AI tools, making decisions with AI-generated insights, and in some cases, managing work that did not even exist a few years ago.

Which means organisations are not simply redesigning jobs. They are redesigning roles, responsibilities, skills, and expectations.

And this is where L&D has a much bigger role to play. Because when a role changes, sending someone on a generic “AI Awareness” course and ticking the training box probably isn’t going to cut it. L&D needs to help people move from “This is how I used to do my job” to “This is how I create value in the new version of my job.”

So, how can L&D help?

1. Capability and Gap Analysis

Before redesigning learning, L&D needs to understand what is actually changing. A traditional role might have been built around a fairly predictable collection of tasks. In an AI-enabled workplace, some of those tasks may disappear, some may be automated, and others may become more complex.

Take a customer service executive. Previously, the role might have involved answering enquiries, searching for information, updating records, and resolving common issues. With AI, some of the information retrieval and routine responses can be automated.

So the role starts shifting towards something different:

· Handling complex customer situations

· Reviewing AI-generated responses

· Making judgment calls

· Managing expectations

· Analysing customer patterns

· Building stronger customer relationships

· Knowing when not to trust the machine

Suddenly, the capability profile has changed. L&D can help by working with business leaders and managers to identify:

- What does the role look like today?

- What will it look like tomorrow?

- Which skills are becoming less important?

- Which skills are becoming more important?

- And where are the gaps?

This is where skills mapping, capability assessments, and workforce data become incredibly useful. The objective isn’t to create another beautiful competency framework that nobody opens after the workshop. It is to create a practical picture of where people are now and where they need to go.

2. Targeted Upskilling and Reskilling Programmes

Once the gaps are clear, L&D can design learning around the new role, rather than simply throwing a catalogue of AI courses at employees.

Because let’s be honest. Giving someone access to 12,000 courses and saying, “Good luck with your AI transformation!” is not exactly a learning strategy.

The learning needs to be targeted. For example, employees may need different levels of capability in:

· AI literacy

· Prompting and AI interaction

· Data interpretation

· Critical thinking

· Digital collaboration

· Problem-solving

· Decision-making

· Creativity

· Customer relationship skills

· Leadership and coaching

And not everyone needs all of them. A finance analyst may need stronger data and AI capabilities. A manager may need to understand how to lead an AI-enabled team. A salesperson may need to learn how AI can support customer insights and preparation.

L&D can create role-based learning pathways that reflect these differences. This is the shift from “What courses do we have?” to “What capabilities does this role need?”

That is a much more strategic conversation.

3. Supporting Change Management and Mindset Shifts

This might be one of the most important parts of role redesign. Because people don’t always resist technology. Sometimes, they resist what they think the technology means for them.

When employee hear that AI is changing their role, their first question may not be: “What exciting new capabilities can I develop?” It might be: “Am I still going to have a job?”

And that is where L&D can help create a safer space for the transition.

Learning can help employees understand that role redesign is not simply about introducing new tools. It is about changing how work is performed and where humans add value.

L&D can support this through:

· AI literacy and awareness programmes

· Manager enablement

· Leadership conversations

· Workshops and simulations

· Communities of practice

· Peer learning

· Internal communications

· Learning journeys that combine knowledge with application

Most importantly, L&D can help reinforce the mindset that AI is a capability to work with, not simply a technology to be afraid of.

The goal is not to turn everyone into an AI engineer. We have enough people trying to make everyone learn everything. The goal is to help every employee understand how their role is evolving and how they can evolve with it.

4. On-the-Job Support and Performance Enablement

Here is where learning gets real. People rarely become competent because they completed a 30-minute e-learning module. They become competent because they use the skill.

When roles are being redesigned, L&D should think beyond formal training and provide support where the work actually happens. That could include job aids, AI usage guidelines, prompt libraries, checklists, performance support tools, manager coaching guides, workflow-based learning, short microlearning interventions, and communities where employees share practical examples.

Imagine an employee learning how to use AI to analyse a report. The real learning opportunity isn’t just the course explaining how AI works. It is having a practical guide sitting beside the employee when they actually need to analyse that report.

This is where the idea of learning in the flow of work becomes particularly important. The best learning intervention might not be another course. It might be a five-minute guide, a useful template, a coaching conversation or the right piece of information appearing at exactly the right moment.

5. Continuous Feedback and Iteration

And finally, role redesign cannot be treated as a one-time project. Because AI isn’t exactly known for sitting still. The role you redesign today may look different again six months from now.

L&D therefore needs to create feedback loops between employees, managers, business leaders, and learning teams.

Ask what is working? What isn’t? which skills are still missing? Which tasks have changed? Where are employees struggling? What new capabilities are emerging?

Learning data can help, but so can conversations. Completion rates alone won’t tell you whether someone is actually becoming more capable. L&D needs to look at adoption, confidence, performance, manager feedback, and business outcomes. Then adjust the learning strategy accordingly.

Think of it less like building a training programme and more like tending a garden. You plant, you observe, you prune, you discover something has grown in completely unexpected direction, then you adjust.

That is the reality of learning in the AI era.

The Bigger Opportunity for L&D

Role redesign presents L&D with an opportunity to become much more deeply involved in workforce transformation. Instead of waiting for the business to say: “We need training.” L&D can be asking: “How is work changing, what capabilities will that require, and how can we help our people get there?”

That is a very different conversation. And a much more valuable one.

Till we meet again in the next episode!

About the author

Hazie Halim has more than 15 years of experience in Talent Management Solution and L&D Tech. Her approach has never been about the technology; it has always been about the people in the industry. She understands HR & L&D, she understands the pain and the stress, and she understands the fear and reluctance of system integration drama. Combining these has allowed her to be compassionate when sharing her experience and knowledge during project implementation. She is passionate about making the HR & L&D experts look good in front of their stakeholders. Their win is her win.

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