Industry analysts increasingly frame chips as a direct business risk rather than background plumbing: GPU prices, shortages of older-generation chips, packaging delays and electricity constraints can all raise cloud bills, delay hardware and squeeze margins. GPUs are the specialised chips that AI runs on, and demand for them has outstripped supply.
When the raw inputs to AI, chips and power, are constrained, the cost shows up downstream in the prices of the AI services built on them.
What it means: if your plans depend on cheap, abundant AI, build in some caution, because the supply of chips and electricity behind it is genuinely tight. Avoid committing to volumes or prices that only work if AI keeps getting cheaper on schedule, and keep a fallback that does not assume it.