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Capgemini CEO: AI readiness requires multi-year IT modernization

Created at 30 Jul · 7:36 AM1 source↑ Market-relevant
IN SHORT

Capgemini CEO Aiman Ezzat stated that companies aiming to deploy AI at scale must first modernize their legacy technology systems, predicting a multi-year investment cycle in data, software, and infrastructure to support AI readiness.

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Key Numbers

2026Capgemini's raised revenue growth target year

Who's Involved

Aiman Ezzat
Chief Executive of Capgemini
Capgemini
IT services and consulting company
Capgemini CEO: AI readiness requires multi-year IT modernization

↳ Why This Matters

The need for IT modernization to enable AI adoption signals a significant, long-term investment opportunity for technology and consulting firms, while also highlighting potential challenges for companies with outdated infrastructure.

Key facts

  • Companies seeking to deploy AI at scale must first modernize their legacy technology systems.
  • This modernization effort is expected to create a multi-year investment cycle in data, software, and infrastructure.
  • Capgemini raised its 2026 revenue growth target following stronger bookings.
  • Legacy systems, fragmented data, and complex technology estates are identified as major obstacles to AI adoption.
  • Businesses are increasingly prioritizing large-scale transformation programs over standalone AI experiments.

Capgemini Chief Executive Aiman Ezzat stated that companies aiming to deploy artificial intelligence at scale will first need to modernize their decades-old technology systems. This necessity, he explained, is creating what he described as a multi-year investment cycle in data, software, and infrastructure.

Ezzat's comments followed Capgemini's announcement of a raised 2026 revenue growth target, attributed to stronger bookings. He elaborated that the primary barrier to widespread AI adoption is not the availability of AI models, but rather the prevalence of legacy systems, fragmented data, and complex technology estates accumulated over many years.

"Every organization today wants to become agentic," Ezzat said, referring to AI systems capable of performing multi-step tasks. "But before they can become agentic, they must become AI-ready, and most are not." Capgemini anticipates a "multi-year modernization supercycle" as companies upgrade the foundational elements required to support AI across their operations, including data platforms, applications, and core infrastructure.

He further noted that many businesses are hampered by years of technical debt, resulting in data scattered across incompatible systems. This fragmentation makes it difficult for AI tools to access reliable information or execute tasks effectively across an organization. While generative AI can produce outputs, it struggles with consistent business process execution when underlying systems are disconnected.

"AI is not only creating demand for new business capability; it's also accelerating the modernization of the technology foundation on which those capabilities depend," Ezzat stated. He also observed that while companies remain willing to invest in AI, spending is becoming more focused, with clients increasingly prioritizing large-scale transformation programs over isolated experiments and pilot projects.

Frequently asked questions

The main obstacle is the need for companies to modernize their legacy technology systems, fragmented data, and complex technology estates before they can effectively deploy AI.

Capgemini expects a multi-year investment cycle and a "modernization supercycle" as companies upgrade their foundational technology to support AI.

Spending is becoming more targeted, with clients prioritizing large-scale transformation programs over standalone experiments and pilot projects.

What Happens Next

01Companies will likely increase spending on data platforms, applications, and core infrastructure upgrades.
02IT service providers may see sustained demand for modernization projects.
03Businesses will need to address technical debt and data fragmentation to effectively leverage AI.

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Cadence

How It Developed

Capgemini CEO Aiman Ezzat stated companies need to modernize legacy systems for AI adoption.
Ezzat described this as a multi-year investment cycle in data, software, and infrastructure.
Capgemini raised its 2026 revenue growth target following stronger bookings.
Ezzat noted that fragmented data and complex technology estates are obstacles to AI adoption.
He explained that AI requires companies to become AI-ready before they can become agentic.
Ezzat highlighted that businesses are constrained by technical debt and scattered data.
He added that AI accelerates the modernization of technology foundations.
Companies are prioritizing large-scale transformation programs over standalone AI experiments.

Sources

T1
Capgemini sees multi-year IT modernisation boom as firms prepare for AIReuters

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