AI tools often come with hidden costs that companies tend to underestimate, shifting from fixed subscriptions to variable operational expenses.
Quality data preparation, necessary for valuable insights, requires significant labor and costs before any useful AI applications can be developed.
Integration of AI tools into existing business systems incurs additional engineering costs that are often overlooked initially.
True AI adoption involves not just teaching employees to use the tools but fundamentally changing how they work, requiring continuous investment in skills and processes.