Public Backlash Swells Against AI as Violence, Divides and Hacking Risks Mount

The rapid advancement of artificial intelligence is colliding with deep public skepticism and emerging political fractures, creating a volatile landscape where technological optimism among experts stands in stark contrast to widespread anxiety about jobs, security, and even spiritual order. Recent incidents of violence, new survey data, and revelations about AI’s cyber capabilities have all surfaced in the same week, painting a picture of an industry at a crossroads with society.

On April 10, a 20-year-old man threw a Molotov cocktail at the San Francisco home of OpenAI chief executive Sam Altman. The suspect, Daniel Moreno-Gama, left behind a manifesto declaring artificial intelligence an existential threat and describing himself as a “butlerian jihadist,” a reference to the anti-machine holy war in the science-fiction novel Dune. Three days earlier, in Indianapolis, someone fired 13 bullets into the home of Democratic city councilman Ron Gibson while his young son was inside. A note reading “No Data Centers” was left at the scene. Gibson had publicly supported a proposed data-center project in his district. No arrests have been made in that case.

While both acts represent unacceptable violence, they appear to channel a broader mood. Social media reactions to the incidents ranged from condemnation of the violence to open sympathy for the underlying grievances. That sentiment aligns with polling that shows ordinary Americans increasingly view AI as a threat rather than a boon. The Stanford Artificial Intelligence Index released on April 13 found that 73 percent of AI experts believe the technology will improve jobs in the long term and 69 percent expect positive economic effects. Among the general public, those figures collapse to 23 percent and 21 percent, respectively. Nearly two-thirds of Americans now believe AI will eliminate more jobs than it creates over the next two decades. A Gallup survey released in March painted a similarly grim picture of eroding trust.

These numbers reflect tangible fears. Data centers consume enormous amounts of electricity and water, raising local concerns about resource strain and rising energy costs. Workers worry that generative AI tools will automate writing, coding, design, and customer service roles that once seemed safe. At a deeper level, some see the technology as accelerating a sense of powerlessness, with decisions about its deployment made by a small group of executives and investors insulated from the consequences.

That unease is fracturing even the political coalition most associated with technological acceleration. A new episode of Slate’s “What Next: TBD” podcast highlights a growing schism within MAGA circles over artificial intelligence. On one side are those who view AI as a divinely ordained tool for human flourishing, national strength, and economic dominance, consistent with a pro-innovation, America-first worldview. On the other are voices warning that AI represents a dangerous temptation, a force that could erode human dignity, concentrate power in unaccountable corporations, or even act as a demonic influence pulling society away from God’s intended path. The tension echoes older conservative debates over globalization and financialization, but with higher stakes given AI’s potential to reshape cognition itself.

At the same time, AI’s technical capabilities are advancing in ways that give concrete weight to abstract fears. Anthropic, the company behind the Claude chatbot, announced this month that its new Mythos model can identify and exploit vulnerabilities in software code at a level surpassing all but the most elite human hackers. The model’s success in controlled tests revives memories of the Pentagon’s 2016 Cyber Grand Challenge, when an AI system called Mayhem bested other machines but still lost to human hackers. A decade later, the gap appears to have narrowed dramatically, if not reversed.

The implications are sobering. Critical infrastructure, from electrical grids and hospitals to financial systems and government networks, depends on software riddled with bugs. If AI can discover novel exploits faster than humans can patch them, the balance of power in cybersecurity tilts toward offense. Defenders hope the same technology can be turned toward protection, automating the tedious work of code review and threat detection. Yet that optimistic scenario assumes responsible stewardship and robust governance, two qualities the public increasingly doubts the industry possesses.

The convergence of these developments, violent backlash, mass skepticism, internal conservative division, and breakthrough offensive capabilities, suggests AI is entering a new and more contentious phase. For years, industry leaders have framed the technology as an inevitable force for progress, one that might eventually solve climate change, disease, and scientific discovery. That narrative has struggled to land with a public that sees immediate risks of job loss, surveillance, corporate consolidation, and now physical danger.

Policymakers face difficult questions. Congress has so far produced more hearings than legislation on AI safety. Proposals for compute thresholds, licensing regimes, and public oversight remain stalled amid lobbying from some of the world’s most valuable companies. The events of recent weeks may shift that calculus. When citizens begin shooting at homes and firebombing tech executives, the political system cannot treat the issue as purely academic.

The disconnect between expert enthusiasm and public dread is not new in technological history. Nuclear power, genetic engineering, and early internet surveillance all provoked similar cycles of hype, fear, and eventual regulation. What distinguishes AI is the speed of its development and its proximity to core human faculties like language, creativity, and decision-making. If the technology is to deliver on its promises without fracturing society further, its proponents will need to reckon seriously with the sources of opposition, material, cultural, and spiritual, rather than dismiss them as mere Luddism.

The incidents in San Francisco and Indianapolis, the Stanford numbers, the MAGA debate, and Anthropic’s Mythos model are not isolated data points. They are signals of a society struggling to absorb a technology that is moving faster than its institutions or norms can accommodate. How political leaders, technologists, and citizens respond in the coming months will help determine whether AI becomes a broadly shared benefit or a flashpoint for deeper alienation.