Global mobility is no longer a niche area of work. As businesses grow, so too does the need for global talent movement, and with it comes the inherent complexity of managing these movements. From work visas to taxes to cultural differences, there are many obstacles associated with moving talent across borders.
The pandemic has only amplified the need for efficient global mobility practices. Employees who were once based in one location are now working from all over the world. Moreover, AI promises to further disrupt global mobility practices and provide new opportunities for companies to enhance their global mobility strategies.
The Paradigm Shift in Global Mobility Caused by the Pandemic
The pandemic has driven a paradigm shift in the world of global mobility. The unexpected transition from working in an office to working remotely from home was a daunting task for many companies. However, now, we are seeing a new wave of remote working innovations.
On this note, we see a more comprehensive approach to the future of work. Many employees now have the option to work from anywhere, regardless of their nationality, home country, or location. This is a new form of flexibility that emphasizes the importance of global mobility.
The Promise of AI Disruption in Global Mobility
Enter AI – the silver bullet capable of solving all of these problems and significantly streamlining global mobility practices. From managing visas to identifying potential risks and issues in different locations worldwide, AI has the potential to revolutionize the global mobility landscape.
Moreover, AI systems can also help companies save costs. By analyzing historical data patterns, AI can help predict risk factors in some countries and even predict any legal problems or paperwork issues before they arise.
Remote Work and the War for Talent
It’s no secret that there is a global war for talent, and the possibility of working from anywhere has taken remote working to the next level. Employers can now offer their workers more flexibility in work-life balance. This flexibility in work arrangements has led to changing global mobility patterns.
Companies can now consider offering “work from anywhere” policies to increase flexibility and engagement with employees. Managers can offer more personalized global mobility solutions that fit each employee’s individual needs. AI can help with these solutions by assessing an employee’s unique circumstances and creating a personalized mobility arrangement.
Considerations in Global Mobility based on Nationality, Home Country, and Host Country
Different approaches may be required depending on an employee’s nationality, home country, and host country, among other considerations. However, there cannot be a “one size fits all” approach in global mobility.
AI can generate analytical approaches based on historical data from different regions worldwide. Suppose a company is expanding into a new market. In that case, AI systems can analyze different data sources, such as visa requirements, tax compliance, local laws, and even cultural differences that exist in those regions.
Challenges in assessing risks for companies
Despite the promise of AI systems, there are still existing challenges in assessing risks for companies when it comes to global mobility. Companies are struggling to assess these risks and find the right balance as they define their policies regarding new forms of global mobility.
For example, AI systems may not be able to capture the nuances in local cultures, communications, or social norms. They may also misunderstand complex situations, leading to false predictions or negative outcomes.
The Potential of AI in Supporting Risk Assessments and Making Processes More Efficient
AI already has the potential to support global mobility practitioners in their risk assessments and make processes more efficient. By using a combination of machine learning and predictive analytics, AI systems can process vast amounts of data points and provide insights on risks that may arise while moving talent across borders.
Drawing on historical data, AI also has the potential to anticipate legal and practical challenges and risks in some countries. For example, suppose an employee is being transferred to a country with strict visa regulations. In that case, AI systems can help identify the chances of visa denial and the risks associated with temporary work visa applications.
How AI can offer personalized global mobility assignments
In the war for talent, AI systems can offer a more personalized experience tailored to each employee’s individual case and needs when preparing for a global mobility assignment. This might include recommending the best country to relocate to, the right visa type to apply for, or help with tax and social security issues that arise during the relocation process.
The Importance of Human Assessments in Global Mobility
It should not be forgotten that there is always a human aspect and assessment involved when it comes to global mobility, and that this requires a level of evaluation that AI tools cannot provide. This means that companies need to have a strong combination of human and AI-based solutions to ensure a comprehensive approach to global mobility.
Human assessments are still required, whether to help employees acclimate to different cultures or understand complex visa regulations. This human touch is especially important for businesses that relocate their employees frequently and to different cultures.
Concerns Regarding the Use of AI in HR
However, as with any other use of AI in HR, it also gives rise to some concerns. For example, there are concerns about the security of data collected by AI systems and the potential for discrimination, such as limiting mobility opportunities for certain employees. Hence, companies need to ensure that they have safeguards in place to prevent such cases.
Using AI for global mobility has a lot of promise. While it is not a silver bullet solution, AI systems have the potential to bring new ways of thinking to the global mobility landscape. Companies need to make sure they have the right balance between their human and AI-based solutions to develop innovative global mobility practices that enable them to attract, develop, and retain the best and brightest talent. Ultimately, the use of AI provides a significant opportunity to leverage technology for a better global mobility experience and create an optimal employee experience.