Back in 1972, a team of researchers at MIT developed a computer model called Limits to Growth. According to Michael Burnand from Economics Explained, this study was one of the first attempts to simulate the global economy using dynamic systems. The researchers wanted to find out if society’s rapid expansion could continue indefinitely on a planet with finite resources. Their unsettling answer? No. In fact, they predicted society could collapse by 2040, and a 2020 follow-up by KPMG found we may actually be ahead of schedule.
The Business As Usual Path Is the Most Concerning
Both Burnand and Tristan Cooper from Cooper Academy pointed out that MIT ran several simulations. The one that most closely resembles today’s reality is called the “Business As Usual 2” model. In this scenario, human civilization continues growing with no major changes to how we consume resources or manage pollution. Initially, things appear fine – industrial output and population boom.
But then pollution skyrockets, natural resources dwindle, food production crashes, and population collapses. That’s not some far-off doomsday fantasy. According to KPMG’s analysis, we are already following this exact path.
What Causes Societies to Collapse?
Burnand highlighted four major drivers of collapse: political turmoil, social disarray, environmental degradation, and economic instability. History supports this. From the Roman Empire to the Aztecs, many civilizations fell through some mix of these four issues. What makes today’s world more fragile is how interconnected everything is. Our global economy runs like a jet engine – faster and more powerful than ever, but extremely sensitive to any malfunction.
World3: The Original Doom Engine
To simulate the possible futures, MIT created the World3 computer model, which was revolutionary at the time. It simulated population growth, industrial output, food production, pollution, and natural resources – all interacting with each other in feedback loops.
As Burnand explains, just like a microphone and speaker can cause that awful screeching noise when caught in a loop, these variables can spin out of control. For instance, fewer births can mean an aging population, which stresses young workers and discourages new families, leading to even fewer births – a dangerous downward spiral.
The “Comprehensive Technology” Scenario – A Glimmer of Hope
Burnand discusses one slightly less gloomy possibility: the “Comprehensive Technology” scenario. This model assumes continued innovation – think self-driving cars, lab-grown food, and efficient recycling. In this future, industrial output still dips, but technology softens the blow. For example, fewer people may need to own cars if autonomous vehicles are shared efficiently. Food shortages and pollution are addressed through innovation. Still, Burnand warns that this requires major breakthroughs that haven’t happened yet.
Tristan Cooper’s Take: Collapse Feels More Real Than Ever
Tristan Cooper from the Cooper Academy YouTube channel echoes Burnand’s concerns but adds urgency. He notes that MIT originally predicted a collapse around the year 2000. When that didn’t happen, they updated their forecast to 2040. Critics call this a moving goalpost, but Cooper sees it differently: the model is adjusting based on real-world data. Today, we’re tracking disturbingly close to the Business As Usual 2 model – just as MIT warned.
The Pollution Problem Doesn’t Go Away
Cooper highlighted that even doubling Earth’s known natural resources doesn’t save us in MIT’s model. If resources don’t run out, pollution eventually does us in. Industrial expansion poisons our food and water, crops fail, people starve, and society collapses. In this version of the simulation, it’s not scarcity that kills us – it’s our waste. That’s a sobering thought in a world where pollution levels are already causing mass die-offs in marine life and turning once-clear lakes into toxic swamps.
Could Cooperation Save Us?
In perhaps the most controversial scenario, MIT proposed that only a global shift away from profit-driven growth to social-welfare-focused systems could stabilize things. This would mean reducing industrial output voluntarily and focusing on health, education, and sustainability. Cooper called this a hard pill to swallow. It requires nations to surrender some sovereignty and agree on strict global rules. While logical on paper, it’s hard to imagine every country giving up a piece of independence – especially when many can’t agree on basic climate goals.
History Loves a Doomsday Prediction
Burnand rightly points out that humans have been predicting the end of the world for thousands of years. From ancient clay tablets to Thomas Malthus’ essays in 1798, gloom and doom have always had a certain appeal. And most of these warnings were wrong. Still, the Limits to Growth model is different – it’s based on data and science, not superstition or fearmongering.
Things Have Gotten Better – But For How Long?
One of the most fascinating contradictions Burnand brings up is that life today is better than ever. Fewer people are starving. Life expectancy is up. More people have access to medicine, education, and the internet than ever before. But this progress might be the very thing fueling our downfall. As we live longer, consume more, and demand more energy, we may be building the scaffolding for our own collapse.
A Ticking Clock – Or a Wake-Up Call?
If there’s one thing both Burnand and Cooper agree on, it’s this: change is needed. Quickly. Whether it’s massive technological leaps or radical economic reform, something has to give. Otherwise, we may see a cascade of crises starting around 2040 – food shortages, mass unemployment, pollution-triggered disease, and resource wars.
Why This Matters So Much
What makes this study so gripping is how close we’re following its forecast. This isn’t about fear – it’s about patterns. MIT’s model didn’t predict an asteroid or a robot takeover. It simply showed what happens when you take a closed system (Earth), push it to grow forever, and ignore the consequences. The scary part? The world hasn’t stopped growing. We’re still chasing economic expansion like it’s the only path forward.
The Real Question – Can We Change?
The study leaves us with a tough question: Are we capable of slowing down, consuming less, and putting long-term survival ahead of short-term gains? It’s not an easy answer. But maybe that’s the point. As Burnand said, the best-case scenario is that this study is wildly wrong. But what if it’s not? Then maybe it’s time we listen, not just to the warnings, but to the solutions.
