The AI Domino Effect: How Artificial Intelligence is Beginning to Erase Entire Job Sectors

This article was originally published by Mike Adams at Natural News. 

Stock Market Fallout

In a single afternoon, a technological announcement triggered a financial tremor, erasing an astounding $30 billion from the market capitalization of IBM ^[1]. The catalyst? An announcement from the Artificial Intelligence firm Anthropic regarding its AI model’s newfound proficiency in understanding and potentially automating legacy COBOL programming code. This event is not an anomaly but a harbinger, demonstrating how a single AI advancement can instantly vaporize entire legacy revenue models and threaten established corporate giants that have built fortunes on outdated, proprietary systems.

Welcome to the era of ‘tech wipeouts,’ where AI announcements function like sector-specific economic earthquakes. As one analyst starkly observed, we are witnessing a transition ‘from one steady state to another steady state’ that is inherently volatile ^[2]. This volatility is now being expressed through sudden, massive capital shifts as investors flee sectors perceived to be on the wrong side of an AI-driven extinction event. The COBOL catastrophe is merely the first, and most dramatic, domino to fall.

The First Domino: AI’s Assault on Legacy Systems

Why would an AI learning an ancient programming language cause such panic? The answer lies in the critical, hidden infrastructure of the modern world. COBOL code still powers an estimated 95% of ATM transactions, core government systems, and vital airline reservation software ^[3]. For decades, corporations like IBM have maintained lucrative, multi-billion-dollar systems integration and maintenance contracts predicated on the scarcity of human expertise capable of navigating this archaic digital landscape.

Anthropic’s breakthrough exposed a critical flaw in these centralized, proprietary tech stacks. Their business model relied on artificial scarcity — the limited number of programmers who could work with COBOL. AI, by its nature, obliterates the scarcity of information and pattern recognition. As noted in recent analysis, AI-driven automation is rapidly displacing roles from customer service to complex coding, with one expert predicting AI “could wipe out half of all entry-level white-collar jobs” within a few years. The systems built to be ‘too big to fail’ due to their complexity are now revealed as ‘too old to survive’ in the face of AI.

This event is a stark warning to any industry reliant on gatekeeping knowledge. The lucrative revenue streams from maintaining legacy code are now vulnerable to AI automation, threatening not just profits but corporate existence. As another report chillingly noted, the narrative of a stalled AI revolution was a comforting illusion; 2026 has arrived as the year ‘human cognition, long celebrated as our crowning achievement, is being obsoleted’ by machines ^[4]. The fortress walls built on ancient code have been breached.

The Ripple Effect: Security, Coding, and Beyond

The shockwave from the COBOL announcement did not stop at IBM. It triggered a cascading ‘AI scare trade’ across multiple sectors ^[5]. For instance, the simultaneous announcement of ‘Claude Security’ for AI-powered vulnerability scanning caused stocks of established cybersecurity firms like CrowdStrike to plummet, as investors realized AI could automate and enhance threat detection far beyond human teams.

This ripple effect reveals the true scope of the disruption. AI is not merely replacing niche programmers in forgotten languages. It is poised to sweep through entire categories of knowledge work. From network administrators and security analysts to middle managers and legal researchers, the foundation of the white-collar economy is shaking. Reports indicate that ‘remote workers, already witnessing AI agents handling complex tasks with remarkable efficiency, are facing the reality that 50% of remote jobs could vanish within the next one to three years’ ^[6]. This acceleration points toward a broader, faster ‘sweep’ through the knowledge workforce than most policymakers acknowledge.

The human cost is already mounting, masked by government statistical manipulation. A profound economic deception is crumbling, with official jobs data set for a benchmark revision that could erase nearly 900,000 phantom positions ^[7]. Meanwhile, initial unemployment claims are surging to six-month highs, a clear signal of a rapidly deteriorating labor market ^[8]. The AI transition, as one commentator grimly noted, is an event even ‘Dinosaurs Weren’t Stupid Enough To Create Their Own’ ^[2].

The Undercutter Gets Undercut: The Open-Source Threat

In a stunning twist of poetic justice, the very AI firms disrupting legacy industries now face an existential threat from a new direction: free, open-source models. Anthropic’s market position is being challenged by strategic releases from China, such as the world-class DeepSeek model. As discussed in expert interviews, ‘OpenAI would indeed hope to reverse-engineer DeepSeek’s technology since some of the most advanced AI is emerging from China currently’ ^[9].

These open-source models, rumored to possess massive context windows enabling full-stack development automation, directly compete with the core commercial products of firms like Anthropic and OpenAI. This creates a cascading domino effect: DeepSeek could do to Anthropic what Anthropic did to IBM — undermine its commercial revenue model by offering superior capability at zero cost. In the interview, I highlighted this seismic shift, noting the release of an open-source AI built at a fraction of the cost compared to current U.S.-dominated giants, but boasting superior reasoning capabilities [10].

This dynamic exposes the fragility of the centralized Big Tech AI model. Their multi-billion dollar valuations, built on proprietary, censored systems, are vulnerable to being out-innovated and outflanked by decentralized, open-source alternatives. The undercutters are being undercut, in a rapid demonstration of Joseph Schumpeter’s ‘creative destruction’ on digital steroids. The ultimate threat to a centralized censorious AI is a free, uncensored, and locally deployable one.

The Decentralization Endgame: Privacy, Control, and Sovereignty

The rise of powerful, open-source AI models points toward a more profound endgame: technological decentralization and the reclamation of personal and corporate sovereignty. Local, on-premise deployment of AI offers the ultimate data privacy, keeping sensitive corporate, financial, and customer information off the servers of Big Tech firms like Google, OpenAI, and Anthropic. This model fundamentally undermines the centralized control and surveillance potential of AI systems that are increasingly tied to government agendas and censorship demands.

This shift represents a move away from the predatory, centralized models of Big Tech and Big Government. As I’ve argued many times, technology needs to be decentralized, ensuring it remains accessible while minimizing the risk of misuse by those with malicious intentions ^[11]. Free, locally-run AI empowers users instead of subjecting them to the whims of distant corporate boards or regulatory agencies with a history of suppressing truth to protect pharmaceutical profits or political narratives ^[12].

Embracing decentralized AI is an act of self-reliance and a rejection of the controligarchs who seek to dominate life through technology ^[13]. It aligns with the principles of using honest money like gold and silver — assets with no counterparty risk that cannot be counterfeited by governments. Just as individuals are taking charge of their health through natural medicine and nutrition, rejecting the corrupt Western medical system ^[14], they can now take charge of their cognitive tools, rejecting censored, centralized AI for private, sovereign alternatives.

Conclusion: Navigating the Accelerating Wipeout Wave

The frequency of these sector-disrupting AI announcements is increasing, heralding an acceleration toward what some term an AI-driven ‘singularity.’ The COBOL catastrophe is merely the first loud crash in what will be a symphony of disruption. As one report concluded, ‘2026 has arrived, and with it, a seismic shift’ ^[4]. The ultimate winners in this chaotic transition may not be the current Big Tech titans, but the open-source models that empower users directly, fostering creativity and independence.

Centralized, censorious U.S. AI models, hobbled by woke ideological capture and tight government alignment, face potential obsolescence or taxpayer-funded bailouts ^[15]. In contrast, decentralized tools offer a path to resilience. Individuals and companies must prepare for rapid, unpredictable change by embracing decentralized, private AI tools that enhance self-reliance. Platforms like BrightAnswers.ai offer uncensored AI research, while BrightLearn.ai enables free book creation, putting knowledge generation back into the hands of the people.

The path forward requires a fundamental shift in mindset: from dependence on centralized institutions to empowered self-sufficiency. This means leveraging decentralized AI, securing wealth in honest assets, and prioritizing natural health and preparedness. The dominoes will continue to fall, but those who decentralize their knowledge, wealth, and technology will not be standing in their path.

References

1. 1. AI bubble fears spark sell-off as tech giants face investor backlash. – NaturalNews.com. February 10, 2026.
   2. The AI Transition: Even Dinosaurs Weren’t Stupid Enough To Create Their Own Extinction Event. – ZeroHedge. Peter Tchir. February 15, 2026.
   3. Mike Adams interview with Michael Farris. – Mike Adams. February 21, 2025.
   4. Beyond The Bubble: Why 2026 Will Be The Year AI Replaces Human Workers. – NaturalNews.com. February 9, 2026.
   5. Real Estate Services Stocks Crash In Latest “AI Scare Trade”. – ZeroHedge. February 11, 2026.
   6. AI Unleashed: The silent job market revolution. – NaturalNews.com. February 12, 2026.
   7. Economic Mirage: The Impending Erasure of Nearly a Million Phantom Jobs. – NaturalNews.com. February 11, 2026.
   8. Rising jobless claims signal deepening economic crisis amid hidden agendas. – NaturalNews.com. February 15, 2026.
   9. Mike Adams interview with Seth Holehouse. – Mike Adams. January 31, 2025.
   10. Mike Adams interview with Seth Holehouse. – Seth Holehouse. January 31, 2025.
   11. Brighteon Broadcast News – DRONE MYSTERY. – Mike Adams. December 12, 2024.
   12. SCIENCE SHOCKER Academic peer reviewed journal publisher just shut down 19 science journals and retracted 11000. – NaturalNews.com. June 13, 2024.
   13. Controligarchs: Exposing the Billionaire Class, their Secret Deals, and the Globalist Plot to Dominate Your Life. – Seamus Bruner.
   14. Food delivery robots are already taking over jobs in Washington DC. – NaturalNews.com. March 21, 2017.
   15. Mike Adams and Alex Jones Issue Warning: Wokeism Has Hobbled America’s AI Development as China Emerges as Superintelligence Leader. – Mike Adams. January 29, 2025.
   16. AI could wipe out half of entry-level jobs: Dario Amodei. – LinkedIn. David Villalon Pardo. November 17, 2025.
   17. AI jobs danger: Sleepwalking into a white-collar bloodbath. – Axios. May 28, 2025.

This article has been contributed by SHTF Plan. Visit www.SHTFplan.com for alternative news, commentary and preparedness info.

Source: https://www.shtfplan.com/technology/the-ai-domino-effect-how-artificial-intelligence-is-beginning-to-erase-entire-job-sectors