Clarity is the competitive advantage
The mobility leader's problem in 2026 isn't a lack of options. It's too many of them, and the pressure to choose right, right now.
You've heard the pitch more than once. A vendor sits across the table and says their platform will transform your function: end-to-end, AI-powered, seamlessly integrated. Three months earlier, a different vendor said the same thing. Your chief human resources officer (CHRO) wants to know your AI strategy. Your chief financial officer (CFO) wants to know when the efficiency gains show up. And in the middle of all of it, you still have 400 employees on assignment, a filing deadline in four jurisdictions, and a manager in Singapore who can't get a straight answer on his relocation package.
This is the experience of leading a global mobility function right now.
Agentic AI is moving fast. Gartner projects that by 2028, at least 15% of day-to-day work decisions will be made autonomously, up from none in 2024.[1] Previous technology shifts gave functions a decade to adopt. This one gives you two or three years. That pace forces you to make clear choices without the certainty of knowing what comes next. Set a direction, revisit it every quarter, and be prepared to change course. Agility in your operating model and your technology is the capability.
This would be difficult enough if transformation were your only priority. It isn’t. You are being asked to do three different jobs at the same time:
- Keep the program running, with no room to slip on filings or deadlines;
- Rebuild how the function operates as Agentic AI changes who does what; and
- Rethink what mobility is actually for, because it now connects to workforce strategy and skills in ways most operating models were never built to handle.
You don't get to do these one at a time.
Ambition and technology are rarely the constraint. The harder task is deciding what to address first: the operating model, data, governance, or technology itself. Without that clarity, it is easy to invest in one before the others are ready.
Clarity is the capability
Clarity starts with forming a view of what mobility needs to become, even if that view will continue to evolve. As work reorganizes around skills rather than roles, organizations need to move people to where those skills are needed, while navigating shifting immigration and tax requirements. Mobility can no longer operate as a function that enters after the workforce decision has been made. It needs to help shape that decision.
The business need is already clear. Deloitte research found that 95% of business leaders believe cross-border talent will be central to success, yet 75% describe their current approach as static, reactive, or only incremental.[2]
That changing role is placing new demands on an operating model built for a much narrower population.
Mobility used to mean assignees and permanent transfers, a small population handled through a specialist process. It can now cover remote workers, business travelers, contingent workers, and short-term project moves. The population is growing faster than the operating model built to serve it. Most functions are running a 2015 process over a 2026 population. That is why the pressure feels operational when the problem is structural.
The decisions you make now carry more weight than they appear to. Buy a platform and you may have automated a back office. But if you start by getting clear on what the function needs to become, you can build something that plays a more strategic role in the business.
A mobility AI strategy should begin by asking “What do our employees, managers, and business leaders need that they can’t get today?” Many of those answers depend on talent, workforce planning, and skills data that mobility does not own. You do not need to own that data. You need to know what you require from it, and what mobility can provide in return.
This is also where trust gets made or lost. Mobility holds a combination of data no other function has, for example, immigration status, cost, performance, where talent is actually moving. Govern it well and you become the source of truth for workforce decisions currently made without you. Govern it poorly and you lose the confidence of the people relying on you, and that is not something you get back.
The work is human before it's technical
A move is not a transaction. Someone is changing where they live, how their family works, how they are taxed, and what happens if something goes wrong. This function has never run on process alone, and it will not run on technology alone.
As AI takes on more routine and repeatable work, people will shift from execution to judgment. That is not a retitling exercise. It means being honest about what skills the function actually needs, which roles and delivery models must be redesigned, and where human oversight adds real value. Technology multiplies what good people can do.
The same shift is changing employee expectations. In their personal lives, they can track a package in real time, get recommendations based on past choices, and see exactly when their driver will arrive, increasingly by asking rather than clicking. They expect the same ease and visibility at work. Start with what your people need and hear their voices. The technology follows. Skip it, and you risk digitizing the wrong thing.
What this comes down to
Clarity is the work. Not the platform, not the vendor, not the AI strategy deck. You must get clear on what your function needs to become, in what sequence, and why.
The question is not whether AI will reshape your function. It already is. The question is whether you are reshaping it with intent, or watching it be reshaped for you.
This is the first in a series on how AI and digital transformation are reshaping global talent mobility. The articles that follow look at employee experience, the operating model, service delivery, and data and insight.
