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MIT’s 1972 collapse model updated: Humanity enters make-or-break decade

MIT’s 1972 global collapse warning revisited: Humanity enters make-or-break decade.


Nearly five decades later, sustainability analyst Gaya Herrington revisited World3 with fresh data. Her study, published in the Journal of Industrial Ecology in November 2020 and later shared by KPMG (where she then worked), compared several of the model’s scenarios with decades of empirical trends across variables such as population, fertility and mortality, industrial output, food production, services, non-renewable resources, persistent pollution, human welfare, and ecological footprint.

The aim was straightforward. After half a century, which of World3’s possible futures does the real world most resemble? Herrington found that the dynamics described in 1972 still fit the data “strikingly” well. In scenarios that keep growth as the primary goal, what the original authors called the “standard run” and what we’d now call “business as usual,” the model points to declines in industrial capital, agricultural output, and welfare within this century.

HUGE: Elon’s “Macrohard” AI — His CRAZIEST Idea Ever

Questions to inspire discussion.

Industry Disruption.

🏢 Q: How might traditional companies be affected by AI simulations? A: Traditional firms like Microsoft could see their valuation drop by 50% if undercut by AI clones, while the tech industry may experience millions of jobs vanishing, potentially leading to recessions or increased inequality.

🤖 Q: What is the potential scale of AI company simulations? A: AI-simulated companies like “Macrohard” could become real entities, operating at a fraction of the cost of traditional companies and disrupting markets 10 times faster and bigger than the internet’s impact on retail.

Regulatory Landscape.

📊 Q: How might governments respond to AI-simulated companies? A: Governments may implement regulations on AI companies to slow innovation, potentially creating monopolies that regulators would later need to break up, further disrupting markets.

Elon Musk Just DROPPED a Wave of Tesla Announcements

Questions to inspire discussion.

🚕 Q: How is Tesla’s robo taxi service progressing? A: Tesla’s robo taxi service is already larger than competitors in Austin and the Bay Area, with plans for significant expansion.

Business Model Shifts.

📊 Q: How might Tesla’s business model change with autonomy? A: Tesla may shift to manufacturing cars primarily for their own robo taxi service, rather than selling to individual customers.

🚛 Q: What potential does Tesla see in autonomous semi trucks? A: Tesla believes autonomous semi trucks could unlock trillions in value and shift supply chains from rail to trucking.

📅 Q: How is Tesla’s leasing strategy evolving? A: Tesla is focusing more on shorter leases (1−2 years) and inventory car leases, indicating a move towards a leasing and subscription model.

Ark Invest Blew My Mind: Shocking Tesla Robotaxi Research

Ark Invest forecasts that Tesla’s robotaxi business could reach $10 trillion by 2029, driven by its manufacturing efficiency, data advantage, and strategic positioning in major urban markets ## ## Questions to inspire discussion.

Tesla’s Robotaxi Dominance.

🚗 Q: How significant could Tesla’s robotaxi business become? A: Tesla’s robotaxi business could represent around 90% of its enterprise value by 2029, capturing a substantial share of Ark’s projected $10 trillion global robotaxi market.

🏙️ Q: What’s the potential impact of robotaxis on urban transportation? A: Research suggests 200,000 robotaxis, supplemented by privately owned vehicles in an Airbnb-like model, could meet all of urban Austin’s vehicle miles traveled (VMT) demand, with peak demand requiring 350,000 vehicles.

Manufacturing and Cost Advantages.

🏭 Q: How does Tesla’s manufacturing capability compare to urban demand? A: Tesla’s Austin factory alone could produce more vehicles than urban Austin’s entire ride-hail fleet in approximately 9 days, showcasing its vertically integrated manufacturing advantage.

Foxconn: Hon Hai Precision Industry Co., Ltd

(鴻海精密工業股份有限公司), doing business as Hon Hai Technology Group (鴻海科技集團) in Taiwan, Foxconn Technology Group (富士康科技集团) in China, and (富士康) internationally, is a Taiwanese multinational electronics contract manufacturer established in 1974 with headquarters in Tucheng District, New Taipei City, Taiwan. In 2023, the company’s annual revenue reached 6.16 trillion New Taiwan dollars (US$ 192,377,640,000 (equivalent to $198,533,892,569 in 2024)) and was ranked 20th in the 2023 Fortune Global 500. It is the world’s largest contract manufacturer of electronics. [ 3 ] While headquartered in Taiwan, the company earns the majority of its revenue from assets in China and is one of the largest employers worldwide. [ 4 ] [ 5 ] Terry Gou is the company founder and former chairman.

Foxconn manufactures electronic products for major American, Canadian, Chinese, Finnish, and Japanese companies. Notable products manufactured by include the BlackBerry, [ 6 ] iPad, [ 7 ] iPhone, iPod, [ 8 ] Kindle, [ 9 ] all Nintendo gaming systems since the GameCube, Nintendo DS models, Sega models, Nokia devices, Cisco products, Sony devices (including most PlayStation gaming consoles), Google Pixel devices, Xiaomi devices, every successor to Microsoft’s Xbox console, [ 10 ] and several CPU sockets, including the TR4 CPU socket on some motherboards. As of 2012, factories manufactured an estimated 40% of all consumer electronics sold worldwide. [ 11 ]

Foxconn named Young Liu its new chairman after the retirement of founder Terry Gou, effective on 1 July 2019. Young Liu was the special assistant to former chairman Terry Gou and the head of business group S (semiconductor). Analysts said the handover signals the company’s future direction, underscoring the importance of semiconductors, together with technologies like artificial intelligence, robotics, and autonomous driving, after’s traditional major business of smartphone assembly has matured. [ 12 ].

It Feels Like Apple Is Trying To Lose

Apple’s prioritization of shareholder value through massive share buybacks over investing in innovation and R&D may be a strategic misstep that could hinder its future success and allow competitors to gain an edge, particularly in emerging markets like AI

## Questions to inspire discussion.

Innovation and Investment.

🔬 Q: How could Apple’s buyback program have been used differently? A: A: Apple’s $700 billion share buyback over the past decade could have been invested in R&D to develop innovative products like a car, potentially yielding greater long-term value.

🤖 Q: What is Apple’s current stance on AI development? A: Apple’s inaction in AI is notable, with Siri’s performance declining over time, indicating a lack of focus on this crucial technology sector.

Product Development and Market Strategy.

Discover How AI is Transforming Quantum Computing

Quantum technologies have had a meteoric rise and become a key area of prioritization for governments, academics, and businesses. Government funding commitments total almost $40 billion, while private investments since 2021 total nearly $8 billion. The US agency, National Institute of Standards and Technology, released this year three new post-quantum security standards, which governments classify as ‘critical resources’ for the economy and national defense. Meanwhile, users of quantum technologies experiment with them, from industry applications in drug development and materials science to energy grid optimization and logistics efficiency.

Yet, besides a few areas, such as quantum sensing, practical and impactful quantum technologies haven’t matured for widespread use. However, when combined with classical machine learning, practical use cases emerge.

This article delves into the impact and potential of artificial intelligence and quantum technologies with QAI Ventures, a financial partner and ecosystem builder in quantum technologies and AI, as a potential collaborator for startups to deliver investment, resources, global networks, and tailored accelerator and incubator programs.


This article covers AI and quantum technologies with QAI Ventures, a financial partner and ecosystem builder in emerging technologies.

Meta Reports Fourth Quarter and Full Year 2024 Results

We expect first quarter 2025 total revenue to be in the range of $39.5–41.8 billion. This reflects 8–15% year-over-year growth, or 11–18% growth on a constant currency basis as our guidance assumes foreign currency is an approximately 3% headwind to year-over-year total revenue growth, based on current exchange rates. This also reflects the effect of lapping leap day in the first quarter of 2024. While we are not providing a full year 2025 revenue outlook, we expect the investments we are making in our core business this year will give us an opportunity to continue delivering strong revenue growth throughout 2025.

(The first quarter 😳)


Meta Platforms, Inc. (Nasdaq: META) today reported financial results for the quarter and full year ended December 31, 2024. “We continue to make good progress on AI, glasses, and the future of social media,” said Mark Zuckerberg, Meta founder and CEO. “I’m excited to see these efforts scale further in 2025.” Fourth Quarter and Full Year 2024 Financial Highlights Three Months Ended December 31, % Change Twelve Months Ended December 31, % Change In millions, except percentages and per share amounts 2024 2023 2024 2023 Revenue $48,385 $40,111 21% $164,501 $134,902 22% Costs and expenses 25,020 23,727 5% 95,121 88,151 8% Income from operations $23,365 $16,384 43% $69,380 $46,751 48% Operating margin 48% 41% 42% 35% Provision for.

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