What are the hidden costs of AI adoption (e.g., compute, training, maintenance)?
Reviewed by Jason Burns, Editorial Steward · Last updated
The hidden costs of AI adoption include ongoing inference compute, prompt and evaluation engineering, data pipelines, monitoring and observability, fine-tuning and retraining, security review, change management, and downstream rework when the model is wrong.