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PERSPECTIVE

AI-ready infrastructure: Enabling enterprise potential

Organizations need to build a modern, AI-ready infrastructure that is resilient, adaptive, and powered by AI to support new technologies and drive innovation.

5-MINUTE READ

May 5, 2025

In brief

  • Enterprises need a resilient, secure and adaptive infrastructure—what we call AI-ready infrastructure—to support AI-driven reinvention.

  • AI-ready infrastructure isn’t just a technical upgrade; it’s a strategic enabler, driving innovation, integrating AI, HPC, edge computing and modern networks.

  • Accenture’s structured modernization approach is designed to elevate your infrastructure from a cost center to a business enabler. 

When your company’s foundation cracks 

Why it matters: Fortune 500 companies are sitting on a time bomb of outdated systems that's blocking AI adoption and crushing competitive advantage—while a few smart players are already racing ahead.

The big picture

Global corporations have a massive technical debt problem, and it's getting worse fast. US enterprises alone are carrying $1.52 trillion in technical debt—the hidden cost of maintaining outdated systems that executives rarely see on their dashboards.

Meanwhile, companies with a leading digital infrastructure are seeing 21% growth from a 6% year-on-year increase in innovation investment, compared to just 5% growth for their competitors without a strong digital core. The gap isn't closing—it's accelerating.

The bottom line: Your IT infrastructure isn't just supporting your business anymore. It's determining whether you win or lose.

01

Reality check

What went wrong: Companies treated cloud adoption like a technology upgrade instead of a business transformation. They moved old problems to new places and called it modernization.

The cost: Despite billions spent on cloud infrastructure, most enterprises report minimal improvement in operational speed or cost efficiency. Some are actually slower than before.

Plot twist: Virgin Media O2 saw a 35% jump in customer satisfaction and 89% same-day issue resolution after rebuilding their infrastructure as an integrated platform, not just a collection of services.

02

 AI infrastructure paradox

Here's the uncomfortable truth: Most AI initiatives aren't failing because of bad algorithms. They're crashing into legacy infrastructure that can't handle intelligent operations.

What's happening: Companies are trying to bolt AI onto systems designed in the 1990s. It's like putting a Formula 1 engine in a horse-drawn carriage.

The winners: Organizations building "ever-ready infrastructure"—systems designed for AI from the ground up—are deploying autonomous operations while competitors are still debugging basic integrations.

Case in point: Virgin Media O2 reimagined its infrastructure with AI-enabled customer service tools across voice, chat and mobile—boosting net promoter score by 35% and resolving 89% of complaints the same day.

03

 Sustainability surprise

Plot twist: The companies winning on infrastructure sustainability aren't doing it for the planet—they're doing it for profit.

The insight: Accenture's Madrid headquarters uses AI-powered systems to optimize energy, space, and resources in real time, cutting operational costs while improving workplace conditions.

Why it matters: Sustainable infrastructure practices are becoming the foundation for operational efficiency. Companies treating sustainability as compliance are missing massive cost optimization opportunities.

04

A skills crisis nobody's talking about

What’s happening: While everyone is focused on AI talent, there's a bigger problem: most companies are overlooking the foundational skills crisis holding them back.

The gap: 61% of workers globally will need retraining by 2027, but only 5% of organizations are actively reskilling at scale. Legacy systems require constant manual intervention, draining resources that could be driving innovation. In contrast, modern infrastructure runs itself.

The fix: Leading companies are embedding Site Reliability Engineering principles and shifting to product-aligned teams to automate operations and free up human talent for strategic work.

What's next

The infrastructure transformation isn't coming—it's here. Companies building integrated, AI-ready platforms are already capturing disproportionate value from technology investments.

The three-phase reality: Accenture's research shows successful infrastructure transformation follows a pattern: Operationalize current systems, Accelerate through platform integration then Modernize with advanced technologies.

The Amazon example: Their Circular Economy initiative scaled HPC to over a million CPU cores on a cloud-based platform to run chemical simulations that would be impossible on traditional infrastructure.

Between the lines

For CEOs: Your infrastructure isn't a cost center—it's your primary competitive weapon. The companies that  act now will redefine entire industries.

For CFOs: That technical debt hiding in your IT budget? It's about to become your biggest business risk. The cost of transformation is now less than the cost of standing still.

For CIOs: You're not just keeping the lights on. You're building the foundation that determines whether your company wins or loses in the AI economy.

The hard truth: Every quarter spent managing legacy systems is a quarter competitors spend building the future. The infrastructure transformation window is open now—but it won't stay that way forever.

WRITTEN BY

Rajive Wickramasinghe

Lead – Infrastructure Engineering

Anthony M. Leraris

Chief Information Officer – Accenture

Nalin Pandey

Offering Lead – Infrastructure Engineering, Accenture

Shalabh Kumar Singh

Principal Director, Accenture Research

Jai T Bagmar

Senior Research Principal – Accenture Research