Are Republicans Ready for the Political Backlash to the AI Revolution?

Artificial intelligence is coming for tens of millions of jobs, and recent college graduates with soft science degrees—particularly young women—are standing in the direct line of fire. AI not only threatens economic disruption but a political and social backlash that could alter American society and realign its politics. The Republican Party can make gains in this disruption if it can maintain its new identity as a populist party that fights for American workers.

In the late 20th and early 21st centuries, globalization and offshoring annihilated blue-collar jobs in manufacturing and industry, fueling a populist backlash against globalist elites. Although the Republican Party drove this revolution through its free trade policies, the Democrat Party reaped the benefit of millions of educated, deep-pocketed, middle-class voters from the growing creative, freelance, and managerial sectors.

The resentment this created among millions of newly impoverished blue-collar Americans culminated in President Donald Trump’s 2016 election victory. Trump has since transformed the Republican Party into the most worker-centric it’s ever been in its history.

Today, a parallel disruption looms. Research indicates that AI will disproportionately target credentialed, professional roles.

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The Shoe Is Now on the Other Class’s Foot

Dario Amodei, the CEO of AI company Anthropic, says that AI could eliminate half of white-collar jobs, spiking unemployment as high as 20 percent within the next decade.

Geoff Hinton, the Canadian British computer scientist known as the “Godfather of AI” warned against training for “mundane intellectual” office jobs. Considering it will take longer for robots to replace physical labor, he said, “A good bet would be to be a plumber.”

“There will be some threat to blue-collar jobs,” League of American Workers founder Steve Cortes told Restoration News, “but very minor compared to white-collar jobs.” He predicts AI disruption will prompt a serious reevaluation of career paths among young Americans, as trade and manufacturing professions rise in value.

But as white-collar workers face unemployment, the political landscape will likely erupt quicker than the education system and market can readjust. This will seriously affect political alignment, gender dynamics, and socioeconomic competition in the near future.

“I don’t welcome job threats, period,” Cortes emphasized. But he called it “a welcome phenomenon” that blue-collar workers are no longer the only ones feeling the brunt of globalization.

Multiple studies underscore AI's threat to white-collar jobs that only 10 years ago appeared ubiquitous.

A McKinsey Global Institute study from July 2023 projects that by 2030, up to 30 percent of hours worked in the U.S. economy could be automated. Generative AI's ability to handle language and cognitive tasks will first hit repetitive tasks, such as office support, customer service, and administrative roles. The study estimates 1.6 million clerk jobs, 830,000 retail sales jobs, and 710,000 administrative assistants will disappear.

Robots’ ability to replace blue-collar work will not approach the level at which generative AI can replace white-collar work. A study by the collegiate textbook publisher Pearson estimates AI could automate 30–40 percent of some white-collar tasks over the next decade, compared with less than one percent for blue-collar tasks like landscaping, mechanics, or construction.

Educationally, this predicts a seismic job-training inversion. Students looking for stable careers will soon place less value on professional service employment and gravitate more toward manual labor.

But this inversion doesn’t automatically mean future generations of smart students will have to sacrifice the good life of the early 21st century for measly wages doing backbreaking labor.

Cortes predicts many of the more driven students who would traditionally have trained for the vanquished white-collar professions will go into the more sophisticated blue-collar careers like engineering, mechanics, and electrical work. Others will move to “the right side of AI,” by developing and managing it.

The Gender Factor

Women stand to suffer disproportionately from AI displacement of white-collar jobs.

Globally, 4.7 percent of women's jobs are at the highest risk of automation, nearly double the 2.4 percent for men. In high-income countries like the U.S., this widens to 9.6 percent for women versus 3.5 percent for men, according to a United Nations-related International Labour Organization study.

This gender gap owes largely to the overrepresentation of women in administrative work like data entry and scheduling—some of the ripest jobs for automation. Men, meanwhile, dominate engineering and tech—areas more AI-resistant.

One bright note for women is that as companies slash white-collar jobs, the roles retained will require increased interpersonal skills, which AI cannot as easily replicate. This will marginally help women keep the lower-level white-collar jobs that do survive.

Blue-collar work has long offered an outlet to men who are not academically inclined or laid off from white-collar jobs.

For women, however, light manufacturing like textile production jobs were the first to go with 1980s and 90s deindustrialization. The abundance of white-collar jobs in the internet age further incentivized them to switch from brawny occupations into more traditionally feminine careers that offered higher prestige than did similar jobs with typewriters.

As AI continues its march through the office, it remains unclear if more women will gravitate back toward manual labor.

“Some women will shift to blue-collar work,” Cortes predicts. But he acknowledges it will be more difficult than for men, because of physical disadvantage and less interest in that type of work.

U.S. Bureau of Labor Statistics data are not encouraging. In 2024, occupations in natural resources, construction, and maintenance are 94 percent male—13.5 million men versus 900,000 women—while production, transportation, and material moving roles are three-quarters male—15 million men versus 4.9 million women.

Two additional problems for women making the switch merit consideration. A much higher proportion are in the workforce today than half a century ago, and America will not return to 1970s industrialization as quickly as the coming AI purge. There simply won’t be enough blue-collar jobs to go around.

For women who do make the transition, at least, the so-called “gender pay gap” is smaller in the working class than in the white-collar world.

How This Will Change the Political Landscape

Politically, those who once laughed at or ignored factory workers' anger at free trade deals and open borders could turn soon turn into nationalist Luddites.

As jobs become scarcer, any additional offshoring or immigration will sting American workers of all classes, undermining the free trade, open-borders, technocratic dogma the credentialed class learned in college.

Cortes is confident this will cause a “tectonic shift” in American politics that will mostly benefit the Right.

“It’s going to make white-collar workers more populist and protectionist,” he said, comparing it to how offshoring blue-collar jobs turned millions of former Democrats into populist Republicans.

How women will react politically to AI displacement remains, perhaps, the greatest wildcard.

If recent voting trends are any indication, unhappy, gainfully employed women will advocate for increased socialism. Those competing for service and low-level blue-collar jobs, however, could advocate for tighter immigration restrictions. Many will likely amplify populist demands for family-friendly policies that cross political boundaries, such as extended maternity leave, guaranteed childcare, and child subsidies.

Cortes said he believes women too “will experience a systemic secular move toward populism, but more will shift to the Left than men.” Overall, however, he predicts the populist Right will benefit massively from the coming AI disruption.

“Democrats essentially have two types of voters,” he said. “There is the minority radicalized base and the credentialed, managerial class.” He emphasized losing the managerial class will solidify their minority party status and give Republicans a guaranteed supermajority.

Is the GOP Up to the Task?

The broader political fallout hinges on the speed of adaptation for both millions of at-risk workers and the Republican Party.

As jobs become scarcer for non-genius but intelligent members of society, these traditional upper middle-class workers will experience the same economic frustration blue-collar workers have long felt. The social and political implications for educated women will be especially acute. They’re at greater risk of AI displacement and cannot pivot as easily as men into blue-collar work.

Unlike their lower-educated counterparts, however, credentialed professionals are more experienced and skilled at political organizing and propaganda. It took over a generation for disaffected blue-collar workers to rally around a political champion. Disaffected white-collar workers could find theirs in two or three election cycles.

As American professionals confront unfulfilled expectations, they will undoubtedly become more populist. Whether this creates a victorious socialist-leaning Democrat Party or a Republican supermajority will depend on the Republican Party’s ability to offer a tech-proof solution of the American Dream to all classes of workers. If the GOP is up to the task, it will snatch the managerial class from the clutches of a Democrat Party fossilized in 1960s social radicalism.

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