Generative AI Is an Engineering Disaster
theatlantic.com
July 16, 2026
8 min read
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47/100
Summary
AI companies are consuming up to 70 percent of the global supply of high-end computer memory due to the resource demands of large language models like ChatGPT and Claude. This increased demand is driving up prices for computer memory and storage significantly.
Key Takeaways
- AI companies are consuming 70% of the world’s supply of high-end computer memory, leading to a significant shortage and skyrocketing prices for computer components.
- The cost of entry-level computers is projected to increase dramatically, with forecasts suggesting they may "disappear by 2028."
- The expansion of U.S. data center capacity is expected to multiply by a factor of eight in the coming years, driven by the high demand for electricity.
- Generative AI models have grown from 175 billion parameters in 2020 to over 1 trillion today, but their scalability is poor, resulting in diminishing returns as models increase in size.
Community Sentiment
Positives
- Some commenters see the potential for generative AI to disrupt industries and empower individuals to start their own companies, similar to how the Internet transformed business landscapes.
- There's a recognition that while AI is still maturing, it has the potential to create value quickly, which is why its adoption is accelerating despite the challenges.
- The discussion acknowledges that every major tech shift has faced hurdles, suggesting that innovation in AI will also lead to significant advancements, albeit with costs.
Concerns
- Skepticism runs high about the actual utility of AI applications, with some calling out the proliferation of 'useless crap' that adds no real value to existing tools.
- Concerns about the environmental impact of AI's energy consumption loom large, as some fear a future where computing energy usage spirals out of control without meaningful outcomes.
- There's a strong sentiment that the concentration of power and wealth among elites could lead to disastrous societal outcomes, particularly with AI replacing jobs and exacerbating inequality.
