Are You Paying an “Eval Tax” on Your AI Projects?
Each time your AI outputs incorrect information—be it a hallucinated fact or an inflated API cost—you’re incurring an invisible cost known as the eval tax. This tax isn’t merely financial; it erodes customer trust, consumes engineering time, and elevates liability exposure.
Key Points:
-
Staggering Costs:
- $67.4 billion lost globally due to AI hallucinations in 2024.
- $14,200 annual verification cost per knowledge worker.
- A hallucination in Google’s Bard demo erased $100 billion from Alphabet’s market cap overnight.
-
Compounding Issues:
- Token waste increases costs unpredictably.
- Engineering teams spend excessive time on manual quality checks.
- Trust in AI suffers; only 33% of developers trust AI accuracy.
To thrive in this evolving landscape, it’s crucial to prioritize agent evaluation—from quality checks to liability safeguards.
Start checking your outputs effectively. Explore how you can start evaluating today at iris-eval.com/playground.
Let’s spark a conversation! Share your thoughts on AI evaluation in the comments below.
