Some Unpleasant Arithmetic • 23 implied HN points • 20 Feb 26
- Modern AI systems run on huge models trained with massive datasets and require enormous compute — specialized GPUs, large data centers, lots of energy, and a concentrated global chip supply chain.
- The current AI boom resembles past tech bubbles because vast infrastructure and speculative valuations risk collapsing if those investments don’t translate into sustained cash flows or viable business models.
- Evidence of AI’s productivity gains is mixed and uneven: some tasks see modest improvements, adoption has plateaued in places, and public, political, and regulatory resistance (especially to data centers) could limit broader economic impact.