Your AI Investment Probably Isn’t Paying Off – Here is How to Fix It
Your AI Investment Probably Isn’t Paying Off – Here is How to Fix It
https://www.socpub.com/articles/your-ai-investment-probably-isnt-paying-here-how-fix-it-18197
Publish Date: 2026-03-19 10:37:00
Source Domain: www.socpub.com
Enterprise AI has reached an inflection point. Global spending is accelerating past 300 billion dollars. Generative models dominate headlines. Every board deck now features artificial intelligence as a strategic pillar. Yet the uncomfortable truth remains. Most companies still cannot trace AI investment to durable earnings impact.
McKinsey finds that while nearly nine in ten companies are investing in AI, only about four in ten can trace any measurable EBIT impact — and most of those gains account for less than five percent of profit, suggesting that a large share of today’s AI spending remains experimental rather than economically productive. Gartner has repeatedly warned that the majority of AI projects fail to deliver sustained business value without disciplined governance and operational integration. Leaders feel the tension. Investors demand capital efficiency. Boards ask harder questions. Where is the return. When does it show up. What risk have we introduced along the way.
Mamatha Chamarthi does not approach these questions as a theorist. She answers them as an operator who has delivered at scale. She scaled a $23 billion-dollar global software business across 14 brands at Stellantis. She led Elevate AI at Goodyear and drove 100 million dollars in measurable value within 90 days. Her track record is rooted in industrial systems, not innovation theater.
Transformation is not PowerPoint. It is operational. It is financial. It is behavioral, Chamarthi says. AI without cost savings is just another tech investment.
Her framing resonates because it speaks directly to the P&L. She argues that most AI programs fail before they start. Leaders chase activities rather than outcome. They fund pilots without defining where cash will surface. They discuss models without rewiring operating systems. When the board asks for measurable impact, the story collapses.
If AI is not moving the P and L, it will not scale, she says. In every enterprise transformation I have led,…