Every wave of technological change has sparked fears that machines will displace human workers. From 19th-century textile workers smashing looms to 20th-century musicians boycotting recordings, the pattern is consistent: people fear for their livelihoods. Today, those anxieties center on artificial intelligence and the data centers that power it.
In 1811, British textile workers known as Luddites destroyed machinery they believed would undercut their wages. Decades later, the Locomotives Act of 1865 forced steam-powered vehicles to crawl behind a man with a red flag. In the 1940s, the American Federation of Musicians barred its members from making commercial recordings to protect live performances. In the 1980s, newspaper unions struck against Rupert Murdoch's automated printing plant, and math teachers protested classroom calculators.
These opponents were right that technology would replace certain jobs. But they were wrong to assume that would spell disaster. Today, unemployment hovers near historic lows, and millions of positions remain unfilled. Entire professions have emerged that would have seemed absurd two decades ago—cannabis compliance manager, wellness coach, prompt engineer—all created by technological and societal shifts.
Gene Marks, founder of the Marks Group, argues that tech adoption is a risk-reward calculation. He acknowledges real dangers: data privacy, environmental impact of data centers, and safety concerns about autonomous vehicles and drones. Yet he insists that businesses would be irresponsible to ignore AI's potential for growth and efficiency, just as they accept risks in air travel or fast food.
Marks dismisses the idea that humans will simply "roll over and play dead." Instead, he believes people will find new ways to define their purpose, as they have throughout history. The challenge for policymakers is to manage the transition, ensuring that those displaced by automation have access to education and support—a point echoed in debates over federal mandates affecting early childhood programs and foreign aid decisions.
While the Luddites failed to stop industrialization, their fears were not irrational. The key is to harness technology for societal benefit while mitigating its costs. As Marks notes, "Technology can be dangerous. Forks can be dangerous. Do we ban forks?" The answer, he suggests, is to use them wisely.
The debate over AI's risks and rewards is not merely economic; it touches on broader questions of regulation and rights that will shape the coming decade. As states and the federal government grapple with AI's implications, the lessons of history offer both caution and optimism.
