21 Jul How Global Mobility Specialists Can Unlock Job Opportunities for AI-Era Workers

Generative AI is no longer a buzzword—it’s a productivity engine reshaping work across industries. From automating call notes for financial advisors to streamlining global hiring in quick-serve restaurants, AI is accelerating workflows, enabling employees to focus on higher-value tasks, and changing the skills employers need. For global mobility specialists, this disruption is both a challenge and an unprecedented opportunity: companies need agile ways to move AI-ready talent to where they’re needed most, and workers need guidance on how to compete—and land jobs—in a transformed market.

AI is reshaping roles across sectors

Recent deployments show how AI is altering job demands:

• Morgan Stanley reduced meeting admin time for financial advisors by 30 minutes per client call, allowing more focus on decision-making. Less experienced advisors saw productivity improve by 35% (NBER, 2024).
• Victoria’s Secret used AI to give store associates instant product and training information, streamlining onboarding and improving customer experience.
• Goldman Sachs deployed natural-language coding and automated documentation, boosting developer output by over 100% in some cases.
• WellSky integrated AI into healthcare operations, reducing administrative time and improving patient care.
• Uber’s AI copilot “Genie” resolved 70,000+ internal tech queries, saving 13,000 engineering hours.
• McDonald’s used AI to automate candidate screening and interview scheduling, reducing time-to-hire by 65%.

For employers, this means roles are shifting toward tasks AI can’t easily replicate—strategic decision-making, complex problem-solving, cultural navigation, and relationship-building. For workers, it means reskilling, upskilling, and sometimes relocating to seize these roles.

The new demand for AI-complementary skills

AI tools are boosting productivity but also reshaping talent needs. Three patterns stand out:

1. Specialized technical skills – Proficiency in AI tools, prompt engineering, data governance, and human-AI collaboration.
2. Human-centric expertise – Skills in leadership, negotiation, client relationship management, and intercultural communication.
3. Agility and learning capability – The ability to adapt quickly to new tools, workflows, and markets.

These capabilities are not bound by borders—companies are increasingly willing to hire from anywhere, but that requires navigating immigration, tax, and compliance hurdles. That’s where global mobility specialists come in.

Where global mobility specialists fit in

Global mobility specialists are uniquely positioned to connect AI-era talent with opportunity. Their skill set—spanning immigration compliance, relocation logistics, cross-cultural training, and compensation structuring—can be applied in three high-growth areas:

1. Facilitating cross-border AI talent flows
   • AI adoption is uneven across markets. Mobility professionals can help firms relocate AI-literate employees to regions lagging in capability, accelerating adoption while offering employees career advancement.
   • Example: A retail giant rolling out AI-driven inventory systems may need experienced AI trainers in multiple countries simultaneously.
2. Designing mobility programs for hybrid and remote AI teams
   • AI tools make remote collaboration easier, but companies still value in-person presence for innovation sprints, onboarding, or leadership roles. Mobility specialists can build short-term assignment programs to enable these high-impact engagements.
3. Advising on equitable, AI-aligned compensation
   • With AI enabling higher productivity, some roles can justify pay premiums. Mobility professionals can help align global pay scales, ensuring fairness while maintaining competitiveness in each market.

Industries ripe for AI-era mobility

The AI case studies show sectors where global mobility demand could spike:

• Financial services – Firms like Morgan Stanley need globally consistent AI-augmented client service, requiring trained advisors in multiple regions.
• Retail and consumer goods – AI-powered product recommendation systems, like those at Victoria’s Secret, require rollout teams who understand both tech and customer experience.
• Tech and software – Developer productivity gains from AI (as seen at Goldman Sachs) intensify the need for agile relocation of top engineering talent to strategic markets.
• Healthcare – AI-driven patient data systems need culturally competent implementation specialists who can work across care systems.
• Transportation & logistics – Internal AI copilots like Uber’s Genie reduce routine support work, freeing experts to focus on critical deployments worldwide.
• High-volume recruitment – AI screening platforms like McHire can scale globally, but legal and cultural hiring nuances still require in-market expertise.

Building the bridge between AI adoption and workforce mobility

To remain competitive, global mobility specialists should expand their capabilities to meet AI-era demands:

• AI literacy – Understanding the tools shaping productivity in each industry helps mobility professionals advise on which skills are globally transferable.
• Data-driven decision-making – Using analytics to predict where AI skills will be needed next and identify candidate pools across borders.
• Change management expertise – Supporting assignees through not just geographic moves, but also role redefinition as AI alters workflows.
• Cross-functional collaboration – Partnering with HR, L&D, and IT to design relocation and training programs aligned with AI deployment timelines.

For workers: mobility as a career accelerator in the AI era

For employees facing AI disruption, relocation—whether temporary or permanent—can be a powerful strategy. Benefits include:

• Access to markets investing heavily in AI – Countries and cities with strong AI ecosystems offer better career prospects.
• Opportunities to specialize – Working on AI deployments in different cultural and regulatory contexts builds rare expertise.
• Career resilience – Mobility demonstrates adaptability, a key trait for thriving in a rapidly evolving job market.

Global mobility specialists can coach employees on positioning themselves for these opportunities, from identifying in-demand skills to navigating visa processes.

The bottom line

Generative AI is changing the “what” and “where” of work. While the technology automates repetitive tasks and boosts productivity, it also amplifies demand for uniquely human skills—many of which are best developed and deployed in new environments.

For global mobility specialists, this is a chance to evolve from relocation coordinators to strategic talent enablers in the AI economy. By anticipating where AI-complementary roles will emerge, guiding workers through skill and location transitions, and designing mobility programs that keep companies competitive, they can become indispensable in shaping the AI-ready workforce of the future.

In the AI era, the best opportunities may be across a border—and it’s the global mobility professional who can help workers get there.