The phantom ROI in AI

Most AI strategies are built to satisfy short-term demands. The highest performers build to transform.

 

The emerging value of AI

What sets successful AI programs apart? The highest performers don’t treat AI as a tool or a one‑time investment. They embed it into the operating fabric, reshaping how work gets done and how decisions are made. That distinction matters.

Today, nearly half of AI spend still goes toward efficiency. Necessary, but no longer sufficient. The strongest returns come from moving beyond optimization, prioritizing growth and innovation and redesigning workflows with AI at the core.

The ownership vacuum

Fracture

What separates high-return and low-return AI deployments is less complex than it seems. Many organizations optimize where progress is easiest to show, not where it matters most. Executives may agree AI will reshape outcomes, but without clear ownership, deeper redesign stalls and strategies default to short‑term pressure.

 
A professional works alone in a glass-walled conference room, seated at a long table with a laptop.
Consequence USD 4.44M The average cost of a data breach in the U.S.

As AI scales, so does exposure. 96% of executives say gen AI adoption makes a security breach likely within three years. Without governance, organizations are accumulating financial liability that compounds with every unowned data flow and unmonitored model.1

 2.5x more likely to achieve value with enterprise-wide alignment.

This isn’t a peripheral risk factor. It’s a leading cause of failure. When ownership is distributed but undefined, risk goes underground and surfaces late. It might show up as unexpected deployment stalls, architectural retrofits or remediation costs.2

 58% of organizations lack a clear data and governance framework.3

Over half of enterprises are scaling AI without foundational guardrails to manage it. When governance exists only in policy documents and not workflows, teams either slow down to improvise controls or move forward without them. Both paths raise the cost of correction later.
Resolution

What if governance accelerated progress instead of slowing it down? Research shows that clear guardrails reduce friction by removing ambiguity. Executives who invest early in AI ethics and governance see stronger operating performance, greater security and faster adoption—not despite constraints, but because decision‑making becomes clearer.
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Where AI ROI wins or loses

AI deployment fails or succeeds based on where it’s applied. Low‑return pilots go after low‑risk improvements, not the decisions and workflows that drive results.

Many executives expect AI to reshape business outcomes, but their strategies aren’t built to support that ambition. Designed to meet short‑term demands rather than deliver compounding value, those efforts rarely extend into critical workflows. The result is a portfolio of safe bets that underperforms the ambition behind it.
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No man’s land

Most companies lack a well-defined, enterprise-wide framework for AI, including governance. About a quarter of unsuccessful pilots trace back to this gap.

Without the right governance, noise spreads. There’s no clear path to scale. Without a mechanism to coordinate across disciplines, responsibility for outcomes is dispersed. Data stays siloed. Pilots underperform, and people become reactive rather than solving for the underlying operational challenges. As a result, the true issues go unfixed.

Risk sits just under the surface, emerging when it’s more expensive to address.

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Board-tangible impact

Saying we need AI isn’t a sound starting point. What if, instead, we aligned on how our enterprises need to be transformed to win and focused on those outcomes? What if outcomes were the filter—the North Star that leadership uses to discern which workflows to redesign and in which disciplines?

Pursue these questions and you may find yourself in an interesting landscape where governance is an accelerator. Research consistently shows that well-designed guardrails actually make organizations faster.

Executives who invest in AI governance see higher operating profits, stronger security outcomes and faster adoption. Clear mandates give teams the confidence to act decisively.

How to get ahead Give your teams the clarity to act

Among organizations with high governance maturity, 68% rely on pre‑approved, low‑risk use cases—allowing teams to execute without bespoke reviews.3 Real‑time monitoring and clear thresholds give leaders the confidence to move.

 

 Embed governance into how work moves

AI introduces new compliance risks: bias, explainability gaps, data drift. Build controls into development, deployment and monitoring to scale faster. Executives attribute 27% of AI efficiency gains to strong governance.4

 Make governance a shared discipline

Governance councils with clear decision rights turn risk management into an advantage.71% of companies that have done so report a 23% improvement in security, a 20% increase in employee engagement and 18% increase in AI adoption.3
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Article 5 C-suite alliances proving impact in the AI age Where does AI deliver real business value? It all depends on how C‑suite leaders work together. Discover five critical executive partnerships driving measurable outcomes—from productivity gains to stronger governance. Learn how leaders are unlocking value Learn how leaders are unlocking value
More in the series
Illustration of a knight with blinders falling off a chess board
The billion-dollar misfire

79% of executives say AI will contribute to their revenue by 2030.  Given this confidence, why are 95% of organizations seeing no measurable return?

 Examine the disconnect
Illustration of three ducks in a row and one rogue duck.
The way work moves

Culture isn’t alongside the AI strategy. It’s the infrastructure the strategy runs on. The organizations scaling sustainably are redesigning how work moves.

 Understand the strategy
Illustration of an AI coin morphing and multiplying
The multiplier effect

After promising pilots, how do you design for lasting value? Strategy, risk and culture aren’t independent challenges–they’re levers in a single system. 

 

 Assemble the system
Take the next step

Strategy only matters if it survives contact with reality. Don’t miss the next round of hard‑earned insights on accountability,  constraints and consequences in the ever-evolving AI era.

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Footnotes

1 Cost of a Data Breach Report 2025: The AI Oversight Gap, IBM Security and Ponemon Institute, IBM, 2025.

2 Making reinvention real with gen AI: From experimentation to impact, Accenture Research, Accenture, 2025.

3 Go further, faster with AI: How governance increases velocity, IBM Institute for Business Value, IBM, 2025.


4 AI governance trends: How governance increases velocity, IBM Institute for Business Value, IBM, 2025.