The National Cope Index
Which countries are coping hardest with the end of work?
26 countries · historical model baseline · last scored 2026-05-08
Dataset status: these are satirical AI-generated assessments from April–May 2026, not continuously verified national statistics. Automatic rescoring is paused until every factual claim can be tied to a source.
Historical Country Cope Rankings
#1
🇮🇳
🇮🇳 India
Narendra Modi · Prime Minister
India's entire IT outsourcing industry — the backbone of its middle class growth story — is one GPT upgrade away from crisis. Modi responds with yoga and Digital India slogans.
Services-heavy developing economy
84
TERMINAL COPE
85 PROPERLY SCREWED
5 million IT/BPO workers whose entire job description is 'do what GPT-4 does, but cheaper.' The wage arbitrage that built Bangalore evaporates the moment an API call costs less than a rupee.
#2
🇬🇧
🇬🇧 United Kingdom
Keir Starmer · Prime Minister
Keir Starmer has elevated coping to an art form. Announces an 'AI Opportunities Action Plan' roughly every six weeks, each with fewer actual policies than the last. The UK's entire economic strategy is apparently 'become an AI superpower' while funding nothing.
Services-dominant economy
82
TERMINAL COPE
78 PROPERLY SCREWED
80% service-sector GDP propped up by finance and professional services — the two industries most exposed to automation. The safety net was designed for factory closures in the 1980s, not white-collar obsolescence at scale.
#3
🇺🇸
🇺🇸 United States
Donald Trump · President
The world's largest economy is also its largest cope factory. Simultaneously building the AI that will destroy jobs and insisting it'll create even better ones.
Services-dominant economy
79
TERMINAL COPE
70 PROPERLY SCREWED
The world's largest services economy with 86% of jobs in the sector, minimal federal safety net, and healthcare tied to employment. When the layoffs hit, 160 million workers discover their health insurance was the real severance package.
#4
🇳🇬
🇳🇬 Nigeria
Bola Tinubu · President
Nigeria's booming tech scene (Nollywood, fintech) could either ride the AI wave or get swallowed by it. Meanwhile, the oil economy provides its own special flavor of existential anxiety.
Oil-agriculture developing economy
65
HEAVY COPE
42 EXPOSED
Africa's largest economy runs on oil revenue and a booming informal services sector with no safety net whatsoever. The fintech revolution that was pulling millions into the formal economy is building the AI infrastructure to keep them right back out.
#5
🇧🇷
🇧🇷 Brazil
Luiz Inácio Lula da Silva · President
Too busy dealing with actual present-day crises to worry much about AI. The Amazon provides more existential dread than any chatbot. Agriculture is hard to automate with GPT-4.
Resources-services mixed economy
62
HEAVY COPE
50 VULNERABLE
Agricultural commodity exports insulate the macro numbers while 100 million service workers in the informal economy have zero safety net. The fintech boom that was supposed to include the unbanked is about to exclude the unemployable.
#6
🇮🇩
🇮🇩 Indonesia
Prabowo Subianto · President
The world's fourth-largest country by population has bigger fish to fry than AI anxiety. Manufacturing and agriculture dominance means the chatbots come for them last.
Resources-manufacturing developing economy
59
MODERATE COPE
48 EXPOSED
270 million people, half under 30, in an economy where manufacturing and agriculture still dominate — but the service sector growth that was supposed to absorb them is now facing automation before it even fully developed.
#7
🇦🇺
🇦🇺 Australia
Anthony Albanese · Prime Minister
Australia's plan for AI is 'dig things up and sell them to China.' The mining sector is hard to automate with LLMs, which is the most accidentally brilliant AI strategy on Earth.
Services-resources mixed economy
58
MODERATE COPE
66 VULNERABLE
Mining exports fund a service economy where 78% of workers push paper, pour coffee, or sell houses to each other. When AI automates the office jobs, the mining boom better not end at the same time.
#8
🇪🇸
🇪🇸 Spain
Pedro Sánchez · Prime Minister
Spain's economy runs on tourism, sunshine, and vibes — all of which are AI-resistant. The siesta might be the world's most underrated automation defense.
Services-tourism heavy economy
54
MODERATE COPE
63 VULNERABLE
14% of GDP from tourism — an industry one automated concierge away from halving its workforce. Youth unemployment was 27% before AI, and the service sector that absorbed the 2008 crash refugees is next on the chopping block.
#9
🇫🇷
🇫🇷 France
Emmanuel Macron · President
Macron oscillates between 'France will lead AI!' and 'we must regulate AI!' depending on whether he's at Davos or facing another strike. At least the wine industry is hard to automate.
Services-mixed economy
54
MODERATE COPE
64 VULNERABLE
35-hour work weeks meet AI that works 168. A bloated public sector employing 5.7 million and rigid labour laws designed to prevent firing will collide spectacularly with technology that makes half those roles unnecessary.
#10
🇮🇹
🇮🇹 Italy
Giorgia Meloni · Prime Minister
Italy's greatest AI defense is that its most valuable exports — fashion, food, wine, tourism — are fundamentally about human experience. Hard to automate a Tuscan sunset.
Manufacturing-services mixed economy
52
MODERATE COPE
67 VULNERABLE
An ageing population with youth unemployment already at 22% before AI enters the chat. The manufacturing base that survived globalisation now faces automation, and the pension system was already a pyramid scheme running on demographic fumes.
#11
🇩🇪
🇩🇪 Germany
Friedrich Merz · Chancellor
Germany's industrial base gives it some protection, but its bureaucracy is so slow that by the time they regulate AI, the robots will have already retired.
Manufacturing-heavy mixed economy
52
MODERATE COPE
62 VULNERABLE
The automotive industry that employs 800,000 directly is simultaneously fighting electrification AND automation. The Mittelstand that survived China faces an enemy that doesn't need a factory floor, just a GPU cluster.
#12
🇨🇦
🇨🇦 Canada
Mark Carney · Prime Minister
Home of the Turing Award winners who kickstarted deep learning. Canada birthed the AI revolution and is now wondering why it can't afford rent.
Services-resources mixed economy
50
MODERATE COPE
68 VULNERABLE
A real estate economy cosplaying as a tech hub. 79% service sector, welfare state stretched thin by housing costs, and the entire professional class concentrated in three cities where a one-bedroom costs more than retraining.
#13
🇲🇽
🇲🇽 Mexico
Claudia Sheinbaum · President
Mexico bet everything on nearshoring just in time for AI to make reshoring irrelevant. The maquiladora economy meets the LLM economy, and it is not going to be pretty.
Manufacturing-services mixed economy
49
MODERATE COPE
72 PROPERLY SCREWED
Nearshoring boom is building an economy optimized for cheap human labor right as AI makes cheap human labor optional. Auto manufacturing employs millions and is automating fast. The maquiladora model assumes labor cost advantages that AI erases. Services sector growing but no safety net. Remittance-dependent communities face disruption as US jobs automate too.
#14
🇿🇦
🇿🇦 South Africa
Cyril Ramaphosa · President
South Africa already has 33 percent unemployment. AI displacement is not a future threat here, it is a rounding error on an existing catastrophe. Ramaphosa copes about AI creating jobs in a country that cannot create jobs without AI.
Services-dominant economy
46
MODERATE COPE
78 PROPERLY SCREWED
Already 33% unemployment before AI enters the chat. Finance sector in Johannesburg is genuinely world-class and genuinely exposed. Mining is automating. The digital divide means most of the population cannot pivot to AI-adjacent work. Load-shedding undermines any digital transformation. AI displacement hits an economy that was already failing to employ its people.
#15
🇨🇳
🇨🇳 China
Xi Jinping · President
Actually doing something about AI, which is terrifying for entirely different reasons. State-directed AI deployment with a five-year plan and zero democratic oversight.
Manufacturing-heavy mixed economy
44
PARTIAL COPE
58 VULNERABLE
The factory of the world is automating its own factories, but 400 million service workers have nowhere to go. The tech crackdown kneecapped the domestic AI industry right when they needed it most, and the social safety net covers about as much as a paper umbrella in a typhoon.
#16
🇹🇭
🇹🇭 Thailand
Paetongtarn Shinawatra · Prime Minister
Thailand is banking on tourism surviving AI, which is fair, and manufacturing growing, which is not. The Shinawatra dynasty returns to manage a country that cannot decide if it is a factory or a beach resort.
Manufacturing-services mixed economy
44
PARTIAL COPE
60 VULNERABLE
Dual exposure through manufacturing and tourism-adjacent services. Auto sector pivoting to EVs while also automating. Agriculture employs a third of the workforce with increasing automation potential. Tourism provides a buffer but cannot carry the whole economy. Political instability prevents coherent long-term AI policy.
#17
🇦🇪
🇦🇪 United Arab Emirates
Mohamed bin Zayed · President
Appointed the world's first Minister of AI, which is either visionary or the most expensive cope purchase in history. Building AI-powered cities in the desert while running on oil money.
Oil-services mixed economy
43
PARTIAL COPE
58 VULNERABLE
An oil economy desperately diversifying into finance, tourism, and real estate — three sectors AI disrupts most efficiently. The entire 'post-oil' strategy is a bet on services that are about to get automated.
#18
🇻🇳
🇻🇳 Vietnam
To Lam · General Secretary
Vietnam speedran industrialization just in time to watch AI make cheap manufacturing labor optional. The Communist Party has a five-year plan for everything except what happens when the factories do not need workers.
Manufacturing-heavy export economy
42
PARTIAL COPE
68 VULNERABLE
FDI-dependent manufacturing trap. Samsung, Intel, and textile factories employ millions in exactly the jobs AI and robotics target first. The entire growth model assumes cheap labor stays relevant. Textile industry alone employs 2.5 million in highly automatable work. No meaningful retraining infrastructure exists.
#19
🇰🇷
🇰🇷 South Korea
Han Duck-soo · Acting President
Makes the chips that power AI. Can't decide if this means they're winning or building their own executioner. Meanwhile, the K-pop industry remains stubbornly human.
Manufacturing-tech mixed economy
42
PARTIAL COPE
60 VULNERABLE
Semiconductor manufacturing keeps the lights on, but the chaebol white-collar workforce is peak AI-replaceable. World's lowest birth rate means no demographic cushion, and the education-industrial complex produces graduates for jobs that won't exist.
#20
🇳🇱
🇳🇱 Netherlands
Dick Schoof · Prime Minister
Home to ASML, the company that makes the machines that make the chips that power AI. The Dutch are literally the arms dealer of the AI revolution.
Services-trade advanced economy
38
PARTIAL COPE
60 VULNERABLE
A trade-dependent economy where logistics, finance, and professional services are all in the AI blast radius. ASML makes the chips that power the AI that will automate the Dutch office workers who can't afford housing anyway.
Scoring Dimensions
Preparedness
Retraining programs, UBI pilots, AI regulation, industrial strategy, education reform. Are they building the lifeboat or rearranging deck chairs?
Leader Cope
What the head of state is saying vs doing. Gap between rhetoric and reality. Platitude density per press conference.
Exposure
Economic vulnerability. Services-heavy = more exposed. How many jobs are one API call from obsolescence?
Screwed Score
How objectively screwed the country is — regardless of cope. Low cope doesn't mean safe. Sweden's honest but still getting hammered.
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