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5 Brutal Truths About AI ROI (Why Most Companies Kill It Before It Pays Off)
If your AI strategy depends on quarterly ROI, it’s already broken.
Glenda Carnate
April 09, 2026
Read time: 2.5 minutes
The reality is that AI ROI doesn’t fail... businesses only give up before achieving a compounded return on their investment.
An organization’s leadership team looks at the results of its AI projects after one quarter and determines that it has flat results. As such, the organization cuts its project budget and terminates the pilot program.
However, a few months later, a competitor who has been patient with the same technology from the same starting point is now far ahead of the first organization and is showing great results. The difference between the two is time.
Most Companies Don’t Follow The True Guideline For Improvement:
1. You Are Focused On The Wrong Timeline
• Missing the opportunity for long-term value due to Quarterly Returns
• Diverted attention:
70% near-term
30% capability building
2. You Are Terminating Learning Too Soon
• Learning from early AI is often very random
• Learning by Iteration is the true value
• Look At:
Learning Velocity
Data Growth
Cycle of Iteration
3. You Did Not Experience The “Messy Phase”
• No pilots = No knowledge
• No knowledge = No Growth
• Fund:
Human-in-the-loop
First Pass Systems
4. You Have Been Buying, Not Building
• Speed = Tools
• Building Capability = Defensibility
• Invest In:
Proprietary Data
Feedback
Internal Team
5. You Are Moving Quickly, But Without Purpose
• Moving quickly and unfocused = Waste
• Determine:
1-2 Primary Use Cases
1 Measurable Metric For Each Use Case
💡Key Takeaway:
The return on investment (ROI) of AI doesn't increase in a straight line... it stays the same until it spikes suddenly. The majority of firms stop investing in AI just before there is sufficient experience or evidence to support ROI.
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