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While most major tech platforms (like Google Maps) are degrading in quality to maximize profit—a process Cory Doctorow calls "enshittification"—AI is the exception, continually getting better, faster, and cheaper. This relentless improvement, however, comes with unprecedented societal risks, creating a bleak paradox.
Contrary to fears of technology concentrating power, the most advanced AI models from companies like OpenAI and Google are accessible to the public for free or a nominal cost. This represents a faster democratization of cutting-edge tech than even the internet or personal computer.
The rapid advancement of technologies like AI happens much faster than the development of necessary ethical guardrails. This allows powerful developers to push forward, arguing they must continue their work to make it safe, effectively consolidating control.
AI infrastructure leaders justify massive investments by citing a limitless appetite for intelligence, dismissing concerns about efficiency. This belief ignores that infinite demand doesn't guarantee profit; it can easily lead to margin collapse and commoditization, much like the internet's effect on media.
Predictive technology introduces a fundamental tension. While AI offers unprecedented clarity into future outcomes, its very implementation makes the world more complex and interconnected. This creates a feedback loop where the tool for prediction is also a source of new, unpredictable variables.
AI's potential for rapid growth is creating a new moral calculus. Practices like tracking every employee keystroke for CRM automation, once controversial, are becoming standard. This trend suggests that as companies chase exponential gains, they will increasingly justify and normalize actions, from mass layoffs to invasive monitoring, that were previously considered unacceptable.
AI offers incredible short-term benefits, from fixing daily problems to curing diseases. This immediate positive reinforcement makes it extremely difficult for society to acknowledge and address the simultaneous development of long-term, catastrophic risks, creating a classic devil's bargain.
Unlike any prior tool, AI can be directly applied to improve its own creation. It designs more efficient computer chips, writes better training code, and automates research, creating a recursive self-improvement loop that rapidly outpaces human oversight and control.
For current AI valuations to be realized, AI must deliver unprecedented efficiency, likely causing mass job displacement. This would disrupt the consumer economy that supports these companies, creating a fundamental contradiction where the condition for success undermines the system itself.
AI will create negative consequences, like the internet spawned the dark web. However, its potential to solve major problems like disease and energy scarcity makes its development a net positive for society, justifying the risks that must be managed along the way.
While superintelligence may eventually create a benign world of abundance, the transition will be chaotic. Mo Gawdat forecasts a "dystopian decade" characterized by job loss, autonomous warfare, increased surveillance, and concentration of power.