
{"id":162316,"date":"2026-05-07T08:42:54","date_gmt":"2026-05-07T08:42:54","guid":{"rendered":"https:\/\/mycryptomania.com\/?p=162316"},"modified":"2026-05-07T08:42:54","modified_gmt":"2026-05-07T08:42:54","slug":"mobility-and-migration-are-ai-and-robotics-agents-the-new-migrant-workers","status":"publish","type":"post","link":"https:\/\/mycryptomania.com\/?p=162316","title":{"rendered":"Mobility and Migration: Are AI and Robotics Agents the New Migrant Workers?"},"content":{"rendered":"<p>Migration has been a fundamental aspect of human existence for thousands of years, serving as a primary driver of human history, evolution, and cultural exchange. People have been migrating in search of better lives, and ultimately to seek new opportunities throughout history. Early humans moved out of Africa as early as 270,000 years ago, with significant waves spreading across Asia, Europe, and Australia by 40,000\u00a0BCE<\/p>\n<p>For the past 3o years, migration has fueled nearly every political, economical and social debate around the world with people discussing in terms of labor shortages, shifts and people moving across borders to find work. And this is why governments have made systems to manage migration flows across\u00a0borders.<\/p>\n<p>Something is changing. The future of labor mobility is shifting from people moving from country to country to take up jobs, to machines that can work across borders and around current migration rules.<\/p>\n<p>Because Artificial Intelligence systems and robotics can do jobs that used to be done by workers, the following question is now gaining even more relevance globally: are Artificial Intelligence and robotics agents becoming the new migrant\u00a0workers?<\/p>\n<p>This question is not just rhetorical. It makes us think about what work and borders actually mean, and most importantly how people participate in the economy. At the same time it raises a political conscience about a world where labor can be done digitally around the\u00a0clock.<\/p>\n<h4><strong>From Human Migration to Digital Labor\u00a0Mobility<\/strong><\/h4>\n<p>Migrant workers have been at the locus of economic development particularly following the end of the war in Europe. They helped fill labor shortages in industries like agriculture, construction and manufacturing. These jobs required people to be physically present in order to complete their daily assignments.<\/p>\n<p>Artificial Intelligence and robotics are different. Unlike workers moving from country to country, technology can be sent across borders instantly. This means companies can use Artificial Intelligence systems made in one place, several places at the same\u00a0time.<\/p>\n<p>Robotics can do jobs in factories and warehouses. Artificial Intelligence agents can do office work remotely. This creates a kind of labor mobility where work is not tied to a specific place or immigration rules.<\/p>\n<p>Unlike workers, Artificial Intelligence systems do not need visas, residence permit, housing or healthcare as they work around the clock and across borders. This means that the idea of labor mobility is fundamentally changing from people moving places, to machines being being deployed.<\/p>\n<h4><strong>The Speed of Artificial Intelligence-Driven Labor Transformation<\/strong><\/h4>\n<p>One big difference between migration and Artificial Intelligence-driven labor replacement is speed. Migration happens slowly. It is controlled by laws and social norms. Artificial Intelligence adoption can happen quickly once it is set up. This is already happening as over 100,000 tech jobs were laid off in 2025 because of Artificial Intelligence-driven automation.<\/p>\n<p>We\u2019re seeing Artificial Intelligence-related automation causing unemployment to rise in some areas especially in IT and office jobs. Unemployment rates have gone up from around 3.9 percent to 5.7 percent within a short period of time. Entry-level and white collar jobs are being affected with thousands of jobs being automated or changed in\u00a02026..<\/p>\n<p>However it is important to remember that while Artificial Intelligence is causing job loss in some areas, it is not affecting all jobs equally. Research shows that around 18 percent of jobs are at high risk of being automated soon.<\/p>\n<p>This means that the impact of Artificial Intelligence is significant but not the same across all industries and skill levels. Some parts of the workforce are being disrupted more than others, particularly jobs that involve repetitive work.<\/p>\n<h4><strong>Governments Focused on the Wrong\u00a0Debate<\/strong><\/h4>\n<p>With these changes many governments are still focused on human migration. They talk about immigration policies, border controls and labor\u00a0quotas.<\/p>\n<p>This creates a mismatch between what governments are talking about and what is really happening in the economy. While migrant workers are still important they are not the reason for the changes in the division of\u00a0labor.<\/p>\n<h4><strong>Do AI Agents Need Digital Citizenship?<\/strong><\/h4>\n<p>Do AI agents need an ID card or a digital citizenship to work in different countries? Will an automobile be deemed European made if it was assembled by US digital and robotic workforce on European soil? These and others are questions that readily requires answers, as AI systems get deployed across borders to completed an unlimited number of tasks\u00a0daily.<\/p>\n<p>Now AI systems are not seen as separate entities but as tools owned by companies. This means the company is responsible for what the AI system does, not the AI system itself. This gets complicated as AI systems start making more decisions on their own, especially in areas like trading, delivery routes, medical diagnoses and public services management.<\/p>\n<p>When AI systems work across borders to affect the prevailing economic and social order in places, it becomes increasingly hard to determine who is responsible and how to govern such systems. This might mean we need rules like special licenses for AI systems to operate or a way to register\u00a0them.<\/p>\n<h4><strong>The Rise of Asymmetrical Unemployment<\/strong><\/h4>\n<p>One risk with AI changing the job market is that certain demographic groups may face significantly higher risks of unemployment than others, with disparities that are likely to persist across several economic\u00a0cycles.<\/p>\n<p>Because AI tends to affect jobs that\u2019re easy to automate, like entry-level jobs or routine office work, new patterns emerges, showing that younger workers may have hard time finding jobs compared with older workers who have jobs that are harder to automate.<\/p>\n<p>At the same time some areas like healthcare, skilled trades, education and jobs that require solving complex problems will be less affected by\u00a0AI.<\/p>\n<h4><strong>Job Destruction vs Job Transformation<\/strong><\/h4>\n<p>It is important to remember that AI does not just destroy jobs it also changes them. In the past, when new technology came along, it often created different types of jobs over time. AI is different because it can affect both physical and mental work at the same time, which means it can automate many tasks very\u00a0quickly.<\/p>\n<p>While new jobs will come up in areas like AI supervision, ethics and robotics maintenance, the time it takes for workers to adjust to these changes might vary from area to area. This is because the job market does not change instantly and workers who lose their jobs might not have the skills they need for the new\u00a0jobs.<\/p>\n<h4><strong>The Urgent Need for Reskilling and Structural Adaptation<\/strong><\/h4>\n<p>If AI is becoming a way for work to be done across borders, then we need to change how we think about jobs and skills. We can no longer think that once you learn a skill you will have a job for life. Instead we need to be learning new skills to keep up with the changing nature of the job\u00a0market.<\/p>\n<p>This means that companies that benefit from AI need to help workers learn skills and create new job paths. Governments, companies and online learning platforms need to work to make sure workers can keep learning and\u00a0growing.<\/p>\n<h4><strong>Rethinking Social\u00a0Policy<\/strong><\/h4>\n<p>The rise of AI is also making us think about how we distribute wealth and income in society. If AI makes companies more productive but reduces the need for workers, then we might need to rethink how we pay people and how we make sure everyone has enough money to\u00a0live.<\/p>\n<p>Some people are talking about ideas like a basic income, where everyone gets a certain amount of money just for being alive. These ideas are still being debated and it is not clear how they would work. The big challenge is not just adopting technology, but also changing how our institutions work. We need to figure out how to make sure everyone benefits from AI and that we maintain cohesion.<\/p>\n<p>AI and work\u00a0mobility<\/p>\n<h4><strong>Conclusion<\/strong><\/h4>\n<p>The idea that AI agents are like workers is not a literal comparison but a way to think about how work is changing in the digital age. Work is no longer limited by where you\u2019re but by how fast computers can process information.<\/p>\n<p>The big question for policymakers is not how to control migration. How to prepare for a job market where change happens very quickly. If we do not invest in helping workers learn skills and create new jobs we risk creating a monumental gap between those who have jobs and those who do\u00a0not.<\/p>\n<p>The future of work will not be defined by borders but by how well we integrate AI into our economic\u00a0system.<\/p>\n<p><a href=\"https:\/\/medium.com\/coinmonks\/mobility-and-migration-are-ai-and-robotics-agents-the-new-migrant-workers-910a514e8908\">Mobility and Migration: Are AI and Robotics Agents the New Migrant Workers?<\/a> was originally published in <a href=\"https:\/\/medium.com\/coinmonks\">Coinmonks<\/a> on Medium, where people are continuing the conversation by highlighting and responding to this story.<\/p>","protected":false},"excerpt":{"rendered":"<p>Migration has been a fundamental aspect of human existence for thousands of years, serving as a primary driver of human history, evolution, and cultural exchange. People have been migrating in search of better lives, and ultimately to seek new opportunities throughout history. Early humans moved out of Africa as early as 270,000 years ago, with [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":162317,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-162316","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interesting"],"_links":{"self":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/162316"}],"collection":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=162316"}],"version-history":[{"count":0,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/162316\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/media\/162317"}],"wp:attachment":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=162316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=162316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=162316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}