Why Your Biggest Hidden AI Cost Isn't GPUs
InfoWorld, Monday, August 24th, 2026
InfoWorld argues unfiltered data pipelines, not GPUs, are the hidden driver of AI cost overruns.
Joseph Morais argues that data quality and context size are hidden AI costs rivaling GPU spend, yet go largely unscrutinized in budget reviews because organizations dump raw, unfiltered data into models and effectively pay to process noise.
The FinOps Foundation's 2026 survey found 73% of enterprises say AI costs have already outpaced budget.
His fix: use stream processing engines like Apache Flink to filter data before inference, and enforce data contracts with schema validation so only high-value, high-confidence data reaches GPU clusters, improving both cost efficiency and output quality simultaneously.