AI @ Procter & Gamble
Summary
- Procter & Gamble (P&G) has progressively integrated AI since at least 2017, with a significant acceleration from 2022 onwards, culminating in advanced enterprise-wide AI adoption by 2025-2026, including internal generative AI models and autonomous AI agents across product development, supply chain, and marketing.
- AI powers approximately 65% of P&Gās product development as of 2025, enabling a 22% reduction in development time and accelerating product rollouts by 80%, leading to multibillion-dollar productivity gains and enhanced innovation, quality, and supply chain efficiency.
- P&G strategically focuses on building AI fluency among employees, leveraging partnerships with tech giants like Microsoft and Google, and adopting AI to improve consumer insights, team collaboration, and tackle fragmented new media, resulting in measurable improvements in operational speed, workforce capability, and consumer satisfaction.
VIBE METER
5 AI Use Cases at Procter & Gamble
Media Optimization2026
Product Development2025
Team Collaboration2025
Supply Chain2025
Timeline
2026 Q1
P&G prioritizes AI and data-driven solutions to navigate the increasingly fragmented new media landscape, enhancing consumer-relevant insights for brands like Tide and Downy.
2025 Q4
Adding AI to traditional analytics enables P&G to answer more complex questions more quickly and strengthen human-AI collaboration as a 'cybernetic teammate'.
2025 Q3
P&Gās AI strategy achieves significant milestones: AI powers 65% of product development, cuts cycle time by 22%, accelerates rollouts by 80%, and embeds autonomous AI agents across logistics and manufacturing.
2025 Q2
P&G reported a 15% reduction in out-of-stock rates and 12% faster team workflows using Gen AI, highlighting AI's impact on operational efficiency and employee collaboration.
2025 Q1
AI adoption extended deeply into supply chain optimization, quality monitoring, and enhanced team performance with empirical evidence showing AI-augmented teams outperform traditional teams.
2024 Q4
Operational integration with AI-driven consumer insights, improved employee efficiency, and smarter automation fueling digital transformation.
2024 Q3
CEO Moeller articulates plans to leverage generative AI to enhance workforce capabilities and sustain growth without significant job losses.
2024 Q2: no updates
2024 Q1
Focus on articulating clear AI business purposes, building organizational fluency, and standardizing AI workflows for broad enterprise adoption.
2023 Q4
P&G deployed an internal generative AI model with proprietary enhancements akin to large off-the-shelf models to bolster internal innovation and IP protection.
2023 Q3
AI described as transforming P&G's global operations with deep integration in production processes.
2023 Q2
Jeff Kent emphasizes AI and machine learning as fundamental to production digitalization at P&G, signaling deep adoption in manufacturing operations.
2023 Q1
Recognition of AI powering data-driven insights to deliver consumer delight and support innovation, highlighting AI's role in driving business growth.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
Scaling AI initiatives across the enterprise emphasizing data, talent, platforms, and trust pillars with leadership involvement.
2022 Q1
P&G's AI investment noted as having started more than five years prior, pervasively augmenting capabilities across the company, signaling a shift to broader AI implementation.
2021 Q4: no updates
2021 Q3: no updates
2021 Q2: no updates
2021 Q1: no updates
2020 Q4: no updates
2020 Q3: no updates
2020 Q2: no updates
2020 Q1: no updates
2019 Q4: no updates
2019 Q3: no updates
2019 Q2: no updates
2019 Q1: no updates
2018 Q4: no updates
2018 Q3: no updates
2018 Q2: no updates
2018 Q1: no updates
2017 Q4: no updates
2017 Q3: no updates
2017 Q2: no updates
2017 Q1
Early exploration phase where P&G began investigating AI technologies alongside partners such as American Express.