How consumer and retail is scaling AI safely
C&R leaders are scaling AI through incremental change, predictive insight, and governance that protects customer trust.
Artificial intelligence (AI) is reshaping consumer and retail, not through radical reinvention but through steady, incremental progress. Organizations are embedding predictive analytics, real-time data, and AI-enabled decision-making. The focus is on improving pricing, inventory, and forecasting while keeping customer experience and trust at the top.
The KPMG Global Tech Report 2026 surveyed 2,500 executives from 27 countries, including 648 in the US and 100 tech executives from the US consumer and retail sector.
Key focus areas include:
- Moving from pilots to ROI driven AI deployment: Shifting from isolated AI pilots to scaled deployments that deliver measurable ROI.
- Using predictive analytics and real time data to plan: Using predictive and near real time data to move from reactive decisions to proactive planning.
- Modernizing architectures incrementally: Scaling AI through modular, incremental upgrades that avoid disruption and tech debt.
- Keeping humans at the center of AI adoption: Deploying AI as a copilot to enhance human judgment and operational efficiency.
- Reinforcing enterprise wide AI governance: Strengthening enterprise AI strategies and governance to keep pace with adoption and protect trust.
Download the full report, How consumer and retail is scaling AI without sacrificing trust to get key insights that help scale innovation without losing trust.
Dive into our thinking:
How consumer and retail is scaling AI without sacrificing trust
Learn how consumer and retail organizations are scaling AI through incremental modernization, predictive insight, and governance models that protect customer trust while delivering value.
Get the reportKPMG 2026 US Technology Survey report
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