Samo Burja, a prominent sociologist and founder of Bismarck Analysis, recently asserted that artificial intelligence (AI) will not bring an end to mass immigration, directly challenging a common expectation. In a tweet, Burja drew a historical parallel to the steam engine, suggesting that past technological revolutions did not eliminate the economic rationale for migration. His statement underscores a nuanced view of AI's societal impact, urging a realistic assessment of its future implications.
"The people who expect AI to end mass immigration will be in for a disappointment. If eliminating the economic rationale would do that, the steam engine would have ended it long before it started."
Burja, while expressing optimism about AI's potential, maintains a cautious stance on the immediate emergence of Artificial General Intelligence (AGI) capable of operating in physical space. His broader analysis of immigration often highlights the complex interplay of economic incentives, cultural shifts, and political stability, suggesting that the underlying drivers of migration are more profound than simple economic models might indicate. He has previously noted skepticism about neutral economic arguments for immigration, emphasizing that both host and immigrant cultures undergo transformation.
Historically, the advent of the steam engine during the Industrial Revolution significantly transformed economies and facilitated, rather than halted, human movement. It powered factories, revolutionized transportation through steamships and railways, and spurred urbanization, creating new labor demands and opportunities that drew people to industrial centers. This period saw vast internal and international migrations, demonstrating that even profound economic shifts brought about by technology can intensify, rather than curb, migration flows.
Burja also invoked Admiral Hyman Rickover's 1957 speech, asking, "Am I Admiral Hyman Rickover optimistic?" Rickover's address, titled "Energy Resources and Our Future," focused on the finite nature of fossil fuels and the critical need for long-term planning and realistic foresight regarding resource management. By referencing Rickover, Burja implies that expectations for AI to solve complex societal issues like mass immigration might be overly simplistic, advocating for a similar level of sober, long-term consideration. This historical reference suggests a call for pragmatism over unbridled technological optimism when addressing deeply entrenched human phenomena.
