Presentation: You Can't Trust Your AI Bill. And Neither Can I

Engineering leaders are facing an emerging financial crisis as expenditures on artificial intelligence services begin to surpass traditional cloud computing costs. This shift is driven by token consumption patterns and complex unit economics that make project budgeting increasingly unpredictable. Industry analysts suggest that as software development becomes more autonomous by 2028, businesses will need to overhaul how they govern and monitor these automated code generation expenses.