Don't count the savings until you know what the AI actually costs

For the last two years, much of the conversation around AI has focused on jobs.

Which roles will change? Which tasks will be automated? How many people will organizations need in the future? Those are important questions.

Yet in conversations with enterprise customers , a different concern is rising to the top.

The conversation is shifting We were all told to use AI, deploy AI tools and find ways to move faster.

Boards pushed for adoption.

Executive teams launched initiatives.

Business units raced to identify new use cases before competitors did.

Then the bills started showing up.

If you're following technology news, you've seen growing concerns about organizations losing control of AI spend.

Budget overruns, runaway token usage and unexpectedly large invoices have become common discussion points among technology leaders.

AI adoption is accelerating across every line of business, and many organizations are discovering they have far less visibility into consumption than they thought.

That's because AI doesn't just innovate.

It invoices.

Every AI decision and action has a price tag.