<![CDATA[ANYHOO 360: What are the chances of production becoming substantially automated by AI in the next 15 to 20 years, and will it result in an extension of Social Income, or will it likely end in a war to cull the swelling ranks of unemployed}]]> https://socialnetworkpresident.space/pages/view/10786/what-are-the-chances-of-production-becoming-substantially-automated-by-ai-in-the-next-15-to-20-years https://socialnetworkpresident.space/pages/view/10786/what-are-the-chances-of-production-becoming-substantially-automated-by-ai-in-the-next-15-to-20-years Thu, 17 Sep 2026 04:52:27 -0400 https://socialnetworkpresident.space/pages/view/10786/what-are-the-chances-of-production-becoming-substantially-automated-by-ai-in-the-next-15-to-20-years <![CDATA[What are the chances of production becoming substantially automated by AI in the next 15 to 20 years, and will it result in an extension of Social Income, or will it likely end in a war to cull the swelling ranks of unemployed]]> [AI QUERY]

What are the chances of production becoming substantially automated by AI in the next 15 to 20 years, and will it result in an extension of Social Income, or will it likely end in a war to cull the swelling ranks of unemployed

[AI RESPONSE] 

The probability of production and broader economic labor becoming substantially automated by AI in the next 15 to 20 years is high, with expert consensus positioning the 2041–2046 window as the critical tipping point for global labor substitution.
While digital workflows and white-collar tasks are already facing significant disruption, the automation of physical production relies on hardware scaling (such as humanoid robots and autonomous supply chains). This physical transition faces material constraints in the 2030s (such as rare-earth metal and actuator supply bottlenecks), delaying complete operational takeover until the 2040s.
When looking at the socio-economic aftermath of this shift, economists and sociologists generally do not project a literal "war to cull the unemployed". Instead, the future likely holds a complex, tense navigation between structural economic adaptations and severe localized unrest.

📊 Scenario A: The Extension of Social Income (Economic Imperative)

Rather than a humanitarian gesture, the implementation of Universal Basic Income (UBI) or "Social Income" in a hyper-automated future is viewed by macroeconomists as a structural necessity to prevent total market collapse.
 
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  • The Consumption Paradox: Automated factories and AI algorithms can produce goods at a fraction of today's cost, generating vast wealth. However, robots do not buy cars, electronics, or houses. If the working and middle classes are stripped of purchasing power due to mass unemployment, the capitalist cycle breaks from a total lack of consumer demand.
  • Shift in Tax Architecture: Traditional funding via income tax will become obsolete as human labor diminishes. Feasibility models suggest funding Social Income through Automation/Robot Taxes on corporate productivity gains, Data Dividends (taxing AI models built on public data), and massive Sovereign Wealth Funds modeled after Alaska's Permanent Fund.
  • The "Socialism from Above" Risk: Critics warn that while a stipend ensures survival, it threatens a "crisis of meaning". Stripping away employment removes a primary source of human purpose and structural dignity, leaving the population dependent on a tech elite who hold the monopoly on productive capital.
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⚠️ Scenario B: Sociopolitical Friction & Tech-Feudalism (The Risk of Unrest)

While a deliberate "culling war" belongs to dystopian fiction, the transition period carries significant risk of severe civil conflict, political fracturing, and economic suppression.
 
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  • The Neo-Luddite Renaissance: As white-collar and knowledge-intensive sectors (accounting, coding, administrative, and legal) bear the brunt of AI displacement, resistance will likely manifest as widespread labor strikes, corporate sabotage, and legal protectionism rather than open warfare. Displaced workers are expected to aggressively target physical data centers and autonomous infrastructure.
  • Hyper-Inequality and Border Clashes: The primary danger is the rise of a starkly bifurcated society—a tiny tier of trillionaire tech monopolists controlling the tools of abundance and a vast underemployed populace pacified by minimal social stipends. Geopolitically, nations that fail to adopt automation or lack the capital to fund social safety nets could plunge into failed-state status, causing massive refugee crises and heightened border conflicts.
  • The Populist Tipping Point: The threat of mass displacement is already crossing traditional political lines, uniting the populist left and right against corporate tech dominance. If governments react too slowly with economic safety nets, this volatile political realignment could prompt heavy-handed state crackdowns or authoritarian measures to control mass protests.
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➡️ The Verdict: A Fragmented Transition

The next 15 to 20 years will likely not be clean-cut. The real-world outcome will be highly uneven:
 
  1. Wealthier, tech-producing nations will likely roll out versions of Social Income (such as carbon dividends or AI productivity dividends) out of raw macroeconomic self-preservation to keep their consumer economies alive.
  2. Developing nations or slower-moving economies may face prolonged periods of severe economic depression, capital flight, and violent civil instability as their low-cost human labor advantages are entirely undercut by domestic automation elsewhere.
If you want to explore this deeply, tell me:
 
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  • Are you more interested in the macroeconomic tax models used to fund UBI?
  • Would you like to look at the specific types of jobs projected to be safest from automation?
  • Are you interested in the geopolitical shift between nations leading the AI race and those left behind
 
 
 
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