If you think AI in global mobility is still a future concern, the data says otherwise. In our recent survey of 50+ Global Mobility, HR, and Finance leaders, 77% reported they are already actively using or piloting AI in their programs. The remaining 23% are aware of AI capabilities but have not yet started. Zero respondents said AI was not on their radar.
In an industry known for cautious technology adoption, that is not a trend. It is a consensus.
Where teams are deploying AI first
The entry points reveal a practical, problem-first mindset. Mobility teams are not starting with the flashiest AI applications. They are starting with the tasks that consume the most time and produce the least strategic value.
The most common AI deployments today:
- Assignee communication: 62%
- Vendor and RMC management: 54%
- Reporting and analytics: 54%
- Cost estimates and budgeting: 46%
- Immigration and visa processing: 42%
- Assignment initiation: 42%
Assignee communication leads because it is high-volume, repetitive, and ripe for automation. Vendor management and reporting follow close behind, signaling that teams are using AI to make sense of the ecosystem around them, not just their internal processes.
Why this matters: AI as an operating layer, not a point solution
The breadth of adoption across task types is the more important story. AI is showing up across the entire assignment lifecycle, from initiation through vendor management through reporting. The teams pulling ahead are not treating AI as a fix for one pain point. They are building it as an operating layer for the entire mobility function.
This distinction matters because each AI-enabled process generates better data for the next one. The result is a compounding advantage that becomes harder to replicate the longer competitors wait.
What to do this quarter
Three actions separate the teams gaining ground from the ones falling behind.
Audit what you have already automated.
Most teams have pockets of automation they do not think of as AI. Email templates, auto-routing, cost calculators. Catalog all of it. You are likely further along than you realize, and the gaps will tell you where the next pilot should go.
Follow the annoyance, not the ambition.
Ask your team one question: what task do you dread doing every week? Automate that first. Before chasing predictive analytics or scenario modeling, kill the busywork. That is where teams in the survey are finding their early wins.
Set a 90-day pilot goal.
If you are in the 23% still in awareness mode, you are not early anymore. You are late. The learning you get from running one small pilot is worth more than six more months of evaluation.
The bigger picture
AI is no longer a competitive edge in global mobility. It is becoming table stakes. The question is whether your program will be shaping the next phase of the industry or scrambling to catch up to it.
Want the full picture?
This is one of five insights from our research with 50+ global mobility leaders. Download The AI Inflection Point: How Artificial Intelligence is Reshaping Global Mobility to see the full data, including where AI investment is heading, the compliance visibility gap, and what mobility teams want most from AI.
Frequently Asked Questions
- How many global mobility teams are using AI today?
- In Topia's survey of 50+ global mobility, HR, and Finance leaders, 77% reported they are already actively using or piloting AI in their programs. The remaining 23% are aware of AI capabilities but have not yet started. Zero respondents said AI was not on their radar.
- Where are mobility teams deploying AI first?
- The most common deployments today are assignee communication (62%), vendor and RMC management (54%), reporting and analytics (54%), cost estimates and budgeting (46%), immigration and visa processing (42%), and assignment initiation (42%).
- What should mobility leaders do this quarter to keep up with AI adoption?
- Audit what you have already automated, follow the annoyance rather than the ambition by automating the tasks your team dreads most, and set a 90-day pilot goal so you start learning instead of evaluating.
