Concerns Over AI-Driven Job Losses and Economic Redistribution

In his new book, Code Red: Left, Right, China, and the Race to Control AI, Wynton Hall, the social media director at Breitbart News, highlights crucial warnings about the consequences of AI for conservatives. He emphasizes the need for vigilance against a “coordinated push” by the left and tech elites to exploit fears of job losses linked to AI advancements.

Hall argues that whether or not a so-called “AI jobs apocalypse” occurs is beside the point; what matters is that major tech companies are advancing toward artificial general intelligence (AGI) and autonomous AI faster than many realize.

Instead of merely worrying about job losses, Hall urges conservatives to recognize the potential for these concerns to be manipulated politically, leading to radical economic redistribution. He mentions tactics like “fear-mongering” and exaggerated narratives being employed by redistribution advocates to convince the electorate that job loss is a harbinger of radical change.

Recently, Hall outlined a strategy that the left might use to capitalize on fears surrounding job losses due to AI, particularly as the midterm elections approach.

• Inevitability of mass job losses due to AI is to be sold to Americans.
• This fear is then to be funneled into support for long-term universal basic income (UBI) initiatives.
• Public anxiety about rising costs from AI data centers will be highlighted as an immediate concern.

He warns that it’s critical for conservatives to remain engaged with developments in AI; neglecting these issues could lead to significant political and economic ramifications, given the transformative potential of generative and agentic AI across various sectors.

Meanwhile, Silicon Valley insiders are reportedly aware of the “unprecedented disruptive power” of AI. Many have been actively working on economic redistribution plans in anticipation of resulting job losses. Hall points out that notable figures in the tech industry are pushing for UBI as a solution as automation replaces human jobs.

He mentions that Sam Altman, CEO of OpenAI, initiated a five-year, $60 million UBI study in 2016, and that billionaires like Bill Gates promote a vision of a “leisure society” as a kinder, more effective way to deal with reduced workloads.

Additionally, Hall references a 2024 book by former Google CEO Eric Schmidt and the late Henry Kissinger. They express concern that AI pioneers might be underappraising the challenges ahead, framing redistribution as a “grave responsibility.”

Hall argues that there’s a techno-utopian desire among globalists for a radical economic reset driven by AI, pointing out that plans underpinned by AI have historically failed in producing success.

He reflects, “AI can be beneficial for humanity, but job elimination shouldn’t be on the list.” He warns against the naive acceptance of redistribution plans proposed by billionaires, stating they don’t yield tangible results.

Hall also references historian Yuval Noah Harari’s prediction of a “useless class” emerging in the 21st century, comprising individuals who are economically and politically marginalized, predicting deep societal divides. He questions whether those behind such narratives will truly belong to this class.

In summary, Hall concludes with a stark question: “The left is prepared. But are conservatives?”

Senator Marsha Blackburn has since deemed Hall’s book essential reading, noting his understanding of the conservative struggle against Big Tech. Commentators like Michael Shellenberger have remarked that Hall’s insights contribute to critical conversations about combating potential authoritarian trends from technology companies.