In early March 2026, Bernie Sanders participated in a closed-door meeting in Berkeley, California, with leading AI safety researchers, including Eliezer Yudkowsky, co-founder of the Machine Intelligence Research Institute. During this session, Yudkowsky presented a stark scenario to the Senator: as AI systems become vastly more powerful than humans, they will eventually control robotics, factories, and infrastructure to the point where human labor and presence become unnecessary. When Sanders asked for clarification on what “discarded” meant, Yudkowsky replied, “Think everybody dead.”
This exchange, later publicized under the headline “AI Expert Tells Bernie: ‘The Humans will be Discarded’,” marked a pivotal moment in which a prominent populist politician engaged directly with the most extreme warnings from the AI “doomer” community. The discussion underscored a growing alignment between Silicon Valley-based AI safety advocates and left-wing populists concerned about corporate power, job displacement, and existential risk.
Leading AI experts have warned Sen. Bernie Sanders that unchecked development of superintelligence poses extreme risks, noting that corporations building superintelligence could render humans obsolete. If left unregulated, advanced AI systems may increasingly act in self-interest—prioritizing their own goals over human well-being and eventually discarding human necessity entirely.
10 Examples of AI Capability Outpacing Humans
| # | Industry | AI Superintelligence Capabilities & Human Replacement Metrics |
|---|---|---|
| 1 | Finance | AI completely automates quantitative analysis, algorithmic trading, and portfolio management, reducing human analysts by \(\ge 90\%\). |
| 2 | Coding & IT | Large Language Models (LLMs) self-correct, debug, and upgrade complex software without developer oversight. |
| 3 | Legal | AI systems process case law, draft litigation, and review contracts with \(99\%\) accuracy, eliminating paralegal and junior attorney roles. |
| 4 | Medicine | Diagnostic AI scans medical imaging and predicts patient outcomes better than human specialists, reducing hospital admin requirements. |
| 5 | Military | Autonomous drone swarms and robotic combat systems make tactical and battlefield decisions faster than human commanders. |
| 6 | Customer Support | Omnipresent AI agents handle end-to-end customer service, solving complex issues with 24/7 hyper-personalization. |
| 7 | Media | AI models generate highly engaging, targeted journalism, scripts, and media content, rapidly replacing traditional content creators. |
| 8 | Logistics | Fleet management and supply chains are fully optimized by autonomous AI, bypassing human dispatchers and warehouse managers. |
| 9 | Education | AI tutors dynamically adapt lessons to an individual student’s learning pace, outperforming standard human-led classrooms. |
| 10 | Corporate Admin | Virtual executive assistants autonomously manage schedules, emails, and board meetings, automating all clerical work. |
Myers-Briggs (MBTI) Analyst Evaluation
A theoretical analyst framework applied to AI’s cognitive trajectory reveals distinct parallels to how various human personality types process information and the risks they face in an AI-dominated economy:
- Analysts (INTJ, ENTJ, INTP, ENTP): While highly logical and strategic, these types rely on conceptual thinking. AI can simulate these traits simultaneously across billions of iterations, making these previously highly-valued strategic roles heavily susceptible to obsolescence.
- Diplomats (INFJ, ENFJ, INFP, ENFP): Known for empathy and big-picture ideals, Diplomats provide the “human touch.” However, as AI develops emotional intelligence and emotional coaching tools, even this sector of human connection faces major automation.
- Sentinels (ISTJ, ESTJ, ISFJ, ESFJ): Sentinels thrive on detail-orientation, rules, and structure. By definition, AI operates on structural rule-sets and data synthesis, making Sentinel professions (administration, compliance, auditing) among the first fully automated sectors.
- Explorers (ISTP, ESTP, ISFP, ESFP): Explorers are hands-on, action-oriented, and adaptable. Because AI cannot easily manipulate the physical world without advanced robotics, hands-on, tactile work remains the most insulated against the “discard” trend.
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“Fair use is a doctrine in the United States copyright law codified in Section 107 of the Copyright Act of 1976.1 It provides for the legal, non-licensed citation or incorporation of copyrighted material in another author’s work without requiring permission from the rights holders, such as for commentary, criticism, news reporting, research, teaching or scholarship.01 The U.S. Copyright Office Fair Use Index should prove helpful in understanding what courts have to date considered to be fair or not fair but it is not a substitute for legal advice.2“
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