From Climate Alarmism To AI Hysteria: Anatomy Of Man-Made Apocalypse
Climate change and artificial intelligence (AI) have little in common scientifically. But the fears surrounding them have developed in remarkably similar ways: both imagine a human creation escaping our control and eventually threatening us.
The Horizon of No Return
At the core of both narratives is the fear of crossing a point of no return. In climate discourse, these are the “tipping points”—such as irreversible permafrost thaw or the collapse of ocean circulation—that could trigger a self-perpetuating cycle of warming.
In the AI debate, the “Singularity” plays this role: the theoretical point at which machines become capable of rapidly improving themselves, eventually surpassing human control.
Both narratives create the same sense of absolute urgency: the window for action is closing, time is running out, and failure to act could have catastrophic consequences.
The Invisibility of the Threat and the Abstraction of Models
Neither the global climate nor the inner workings of a large neural network can be directly observed or easily understood. Instead, our understanding of both depends heavily on complex models that are opaque to the general public and, in some cases, even to the experts who build them.
For climate, these are computer simulations of interactions between the atmosphere, oceans, and other parts of the climate system, with significant uncertainties surrounding factors such as cloud feedbacks.
For AI, the uncertainty involves unexpected behaviors emerging from statistical “black boxes” containing hundreds of billions of parameters. In both cases, uncertainty leaves room for speculation, allowing worst-case scenarios to be portrayed as inevitable outcomes.
The Wall of Diminishing Returns
Yet physics and engineering impose limits on both runaway scenarios through the same basic principle: diminishing returns.
In atmospheric physics, the direct greenhouse effect of carbon dioxide (CO2) follows a logarithmic curve. Because its primary infrared-absorption band is already largely saturated, each additional increase in CO2 has less effect than the one before it.
Therefore, a roughly constant increase in radiative forcing requires a doubling of CO2 concentrations. At the same time, as the planet warms, it radiates more heat back into space.
AI faces its own physical constraints. The idea of an “intelligence explosion” assumes that software can continue improving at an extraordinary rate. In practice, however, delivering further gains requires increasingly large amounts of data, memory, computing power, and energy.
AI cannot accelerate indefinitely in the cloud without eventually blowing up the power grid, melting its silicon chips, or hitting the computational limits imposed by the physical world.
Faced with these constraints, both catastrophic narratives tend to shift their emphasis to secondary feedback loops—the possibility that one effect will trigger another, which triggers another, until the process becomes self-sustaining.
The further these chains extend, however, the more they depend on assumptions about what happens next.
Political Instrumentalization and Regulatory Capture
The parallels also extend into politics and regulation. Once a potential catastrophe is treated as inevitable, the resulting sense of emergency can crowd out dissent, compromise, and ordinary cost-benefit analysis.
In the tech sector, large incumbent companies may benefit from regulations and licensing requirements tied to computing power, raising barriers that smaller competitors and open-source developers cannot easily overcome.
In the energy sector, fears of a climate crisis have similarly been used to justify massive subsidies, costly mandates, and centralized planning, often with questionable economic results.
In both cases, the underlying mistake may be the same: treating complex systems subject to physical and practical limits as autonomous monsters capable of escaping those constraints and ultimately consuming their creators.
Neither the carbon molecule nor the silicon chip possesses the limitless power that society projects onto it.
The Enduring Myth of an Approaching Apocalypse
Ultimately, this analogy may tell us less about climate or artificial intelligence than about human nature. The modern West may have shed many of its traditional religious beliefs, but it has hardly lost its fascination with the end times. It may simply have found new, secular forms.
Original sin becomes our industrial footprint or technological hubris. Divine retribution becomes a boiling planet or an all-powerful algorithm.
And a prophet’s warning of impending judgment? Replaced by committees of experts warning that catastrophe lies just over the horizon.
From ancient religious texts to modern extinction scenarios, human beings have long been fascinated by the prospect of their own destruction.
Perhaps the drama of an approaching apocalypse will always be more compelling than the less exciting reality of a world governed by physical constraints, competing forces, and incremental trade-offs.
Note: This mildly satirical piece was drafted with the “aligned” assistance of Gemini AI.
Robert Girouard is a retired communications and public affairs consultant. Since 2016, his primary areas of interest have been climate, environmental, and energy policy. He is a member of the Paris-based Association des climato-réalistes, where he contributes regularly to its website. He also publishes opinion pieces in Quebec newspapers and various climate-focused media outlets.
source climatechangedispatch.com