The Hard Part of AI Isn’t the AI: Inside Our Fit for Change Report
- HR and L&D leaders at our 16 October roundtable said AI adoption stalls on leadership direction and trust far more often than on tools.
- Our new Fit for Change, Across Differences report captures the panel debate between Salesforce, Dassault Systèmes, Aperian and The Resilience Institute, including the question that split them: will AI cost jobs?
- It also answers twelve questions from the room that we ran out of time for on the day.
- Six quick wins close the report, and none of them needs a budget cycle to start.
The hard part of human-centred AI transformation isn’t the technology. It’s leadership direction, trust, and the capacity of the people asked to carry the change. That was the clearest message from the HR, L&D and inclusion leaders who joined The Resilience Institute and Aperian at AmCham Singapore on 16 October 2026.
We’ve pulled the afternoon together into a new report, Fit for Change, Across Differences: Insights Report. Here’s a look at what’s inside and why it’s worth your time. If you’d like the context we set before the day, our pre-event piece on what senior HR leaders in Singapore are asking about AI covers the questions we brought into the room.
Why does AI transformation feel so heavy for HR and L&D leaders?
For many HR and L&D leaders, AI transformation feels heavy because they’re leading a change they’re still going through themselves. One participant described HR as “having to change ourselves while managing change for the business.” A lot of people in the room recognised themselves in that.
When we asked about talent challenges, hardly anyone talked about tools. They talked about mixed signals from the top. Not enough time to practise. Teams pulling in two directions, with some people wanting AI in everything and others holding back.
An L&D manager said being “sandwiched” between senior leadership and the change programme made it hard to see what came next in their own role. If that sounds familiar, the report’s section on shared challenges is a good place to start. It ends with a question worth taking into your next team meeting.
Why do two people respond so differently to the same change?
Two people can go through the same restructuring and come out in very different places. In his keynote, Manish Arneja, Managing Partner SEA at The Resilience Institute, said the difference is agency: believing you still have a choice in how you think, feel and act, whatever is happening around you.
He then went a layer deeper, to the thing agency rests on, and to why you can’t build it on your own.
Mui Hwa Ng, Director of Consulting APAC at Aperian, added a distinction most change plans skip. Change and transition are different things. They don’t move at the same speed, and leaders need to support both.
The report sets out both ideas in full, along with a simple model for the two capacities AI is stretching at the same time.
Will AI cost jobs? Where did the panel disagree?
The panel didn’t agree on whether AI will cost jobs, and we kept that disagreement in the report rather than smoothing it over.
At one end, Gary Lee of Dassault Systèmes shared what his CHRO told the whole organisation about job losses. Allan Yeoh of Salesforce thinks much of the fear comes from hype. Manish was less sure, and expects a ripple effect across industries once one leader resets its cost structure.
Mui Hwa’s answer moved the conversation on. She wasn’t asking whether the fear is justified. She was asking what it costs an organisation to leave it unaddressed. Her closing line on this is one of the most quoted in the report.
Which human skills did HR leaders keep coming back to?
Checking and judgement came up more than anything else. Gary described a gap his organisation found after going “AI native”: people passing AI output up the line without verifying it, and managers catching the errors. It’s the same skill we unpacked in our piece on metacognition and knowing when to trust the AI or yourself.
Manish raised a quieter risk he had noticed in himself. What happens to our empathy after years of working with an AI that always agrees with us?
The report lists the human skills the room kept returning to, with where each one came up on the day. One participant’s organisation now treats human-AI collaboration as a skill in its own right.
What does human-centred AI transformation look like in practice?
In practice, human-centred AI transformation means treating AI as a leadership and culture change, with people at the centre of the plan. The panel brought examples from inside their own organisations:
- Salesforce’s 4R model, which starts with existing people rather than headcount
- Dassault Systèmes’ yearly review of every role, and why Gary believes “it’s always the mid layer that gets things moving”
- Five plain questions Mui Hwa suggests asking across the whole organisation, not just in the boardroom
At the think tank tables, one participant shared how many protected learning days their organisation gives each person a year, with no deliverables attached. The number made the room stop.
Before you open the report, a few questions to sit with:
- Where is your team split on AI, and is anyone talking about it out loud?
- Who in your organisation is carrying the change without anyone carrying them?
- When AI saves your team an hour, where does that hour actually go?
What can you do differently starting this week?
The report closes with six quick wins, three from each host, built from what the room asked for.
6
quick wins in the report. None of them needs a budget cycle to start.
Two to give you a feel for them. Measure resilience before you build a programme, so you have a baseline to work from. Our Resilience Assessment is one way to get it. And agree team norms for AI use, including one question most teams never ask: is AI surfacing what we’re missing, or confirming what we already think?
The other four, plus a set of principles for human-centred AI transformation, are in the full report.
Structures will change. Tools will arrive faster than our policies. What we can work on is who shows up to it.
From the Fit for Change, Across Differences keynote
How do I get the full Fit for Change report?
What we’ve shared here is a small part of the conversation. The full report has the panel’s own words, their answers to the questions we ran out of time for, and practical steps you can use with your teams.
If it helps you think about your own team, please pass it on to someone asking the same questions. And if it starts a conversation you’d like to have with us, we’d love to hear from you.



