AI Adoption is Accelerating. But Impact Isn't Keeping Pace.
AI adoption is accelerating across Retail and Consumer Packaged Goods. Yet as organizations invest at unprecedented scale, many are struggling to turn AI ambition into measurable business impact.
New HCLTech research, based on insights from 467 senior executives, explores why nearly half of major AI initiatives are expected to fail and the three imperatives helping leaders change the odds.
Key Highlights
Retail has seen this moment before.
In 1999, nearly every retailer had a website. Almost none had built a true ecommerce business. The technology was the easy part. The real challenge was everything behind it inventory, fulfillment, operations, data and the ability to treat digital as part of the core business.
AI has reached a similar inflection point.
Adoption is no longer the differentiator. The next generation of leaders will be defined by their ability to embed intelligence across the enterprise and turn innovation into measurable business value.
Our research reveals that the organizations changing the odds are focusing on three imperatives: The right foundation, the right governance and the right partners.
Three imperatives are shaping the next chapter of AI in retail and consumer packaged goods
The Right Foundation
Modernize the enterprise to make AI scalable
Legacy applications, fragmented data and outdated technology architectures are creating an AI performance ceiling.
The organizations leading the next wave are using AI and modernization together building the foundations needed to move from pilots to production and unlock value across the enterprise.
The Right AI Governance
Build trust into AI from the start
Responsible AI cannot be an afterthought. As AI moves into customer-facing and mission-critical environments, organizations need governance that enables innovation while managing risk, security and trust.
The leaders changing the odds are embedding Responsible AI into the architecture of transformation not treating it as a barrier to progress.
The Right Partners
Turn AI ambition into enterprise-scale impact
The gap between experimentation and production is where many AI initiatives stall.
The right partners bring together industry expertise, engineering capabilities, proven use cases and the ability to scale helping organizations accelerate time to value and move beyond pilots.
What industry leaders are saying
Much like how e-commerce transformed retail a generation ago, AI is reshaping how organizations operate, compete and grow. The next generation of leaders will be defined not by AI adoption alone, but by their ability to embed intelligence across the enterprise and turn innovation into measurable business value."
Kristina Rogers
Chief Growth Officer, Retail, Consumer Packaged Goods and Luxury
HCLTech
AI has moved from being a technology initiative to becoming an enterprise operating reality. What leaders are grappling with now is not whether AI can deliver value, but how organizations adapt their structures, decision rights and risk tolerance to keep pace with it. The pressure to move fast is real, but without the right investment in people, in helping them understand, trust and work effectively alongside AI, speed can just as easily amplify failure as success."
Vijay Guntur
CTO & Head of Ecosystems
HCLTech
Every AI initiative is, at its core, a change management initiative. The technology is rarely what fails. What fails is the human architecture around it—the behaviors, the trust, the willingness to work differently."
Jill Kouri
Global Chief Marketing Officer
HCLTech
When half you application estate was built before the modern Ai demands existed, you’re not just carrying technical debt—you’re operating under an AI performance ceiling. The shift comes when you realize the same AI that requires modern infrastructure is also the fastest way to build it. What once took four years can now take 12 months or less."
Pawan Vadapalli
Corporate Vice President and Global Head
Digital Business Services
HCLTech
AI is now deeply embedded across engineering, product development and manufacturing operations. However, as the data demonstrates, organizations achieving the greatest impact are those that treat AI as an engineering discipline, not a technology experiment. That rigor is what transforms proof of concepts into scalable, enterprise grade systems."
Hari Sadarahalli
Corporate Vice President and Global Head
Engineering and R&D Services
HCLTech
The question is no longer whether to invest in AI.
It's whether your organization is ready to turn that investment into a competitive advantage.
The 43% expected failure rate is not a prophecy. It is a diagnosis.
The organizations that will lead the next era of Retail and Consumer Packaged Goods are not necessarily those adopting AI first. They are the ones building the foundations, governance and partnerships needed to scale it and turning intelligence into measurable business outcomes.