Genpact’s “Autonomy by design” report, based on responses from 65 senior consumer goods executives, finds the industry at an early stage of AI maturity. While leaders report early returns such as improved demand forecasting and smarter trade spend, they face persistent challenges including integrating AI into workflows, closing skills gaps, and overcoming fragmented ownership. The report breaks down AI maturity across four levels, assessing six dimensions: adoption effectiveness, decision autonomy, governance rigor, operational enablement, regulatory compliance, and technical capability. According to the survey, 3% of consumer goods organizations are considered leaders, and 8% are advanced organizations, both relatively low compared to other industries. A key constraint on faster progress is managing regulatory or compliance challenges, followed by skills gaps. AI ownership in consumer goods still sits largely with technology and data leaders such as CIOs, CTOs, and specialized AI or data leaders, anchoring AI in platforms, data, and analytics. However, engagement is broad across operations, supply chain, manufacturing, and commercial teams, indicating AI is increasingly embedded into workflows rather than isolated in centralized innovation groups. The insights aim to help leaders move beyond siloed use cases toward collective intelligence spanning product innovation, supply chain, commercial, and finance.