The real AI budget question: Where should we spend more?
Most CIOs are still asking 'How much should we spend on AI?' The best ones are asking 'Where should we spend MORE?'
Why it matters
A practitioner's guide to reframing AI budgeting from IT cost control to business ROI allocation—shifting governance, measurement, and funding accountability away from token counts and toward portfolio optimization tied to P&L impact.
The key facts
14 to knowIBM study: organizations managing AI as a portfolio deployed 2.4x more agents without higher AI/IT budget
West Monroe case: top 2% of users accounted for ~50% of AI usage and outsized operational impact
Measurement example: AI-enabled sales training tied to 47% larger pipeline and 57% more wins vs. control
Real deployment ROI: $18,000/month AI spend on delivery work generated $500,000 in productivity gains (20x ROI)
Shift required: move AI costs from IT budget to operational expense by business function (similar to labor/office space)
Governance model: multidisciplinary teams (business, finance, risk, IT) meeting monthly to adapt strategy as conditions change
CIO role redefinition: from cost controller/gatekeeper to intelligence transformation leader and business partner
West Monroe observed top 2% of users accounted for ~50% of AI usage and outsized business impact
IBM study: organizations managing AI as portfolio deployed 2.4x more agents without higher AI/IT budget
Author's example: AI on delivery project cost $18k/month but generated $500k productivity gains (20X ROI)
Author's sales training case: AI-trained employees had 47% larger pipeline and 57% more wins
Argument: move AI costs from IT budget to business functions (like labor/office space) once value is measurable
Core thesis: measure before building—identify 1-2 business metrics AI could influence, model process impact on KPIs and P&L
Governance recommendation: multidisciplinary teams meeting monthly to reassess strategy, risk appetite, velocity amid continuous change
Go to the source
CIOcio.com
Publisher excerpt: I recently met with a client’s CEO and CIO together. The CIO asked, “How much should we spend on AI next year?” My response was, “If you do your job right, your CEO will ask why you aren’t spending more.” I spend a lot of time with CIOs who are planning their AI investments. One pattern keeps…