Consumer products (CP) brands are no longer only competing to be seen, they are competing to be selected. According to “The EY State of Consumer Products” report, based on a survey of more than 850 CP senior executives and interviews with more than 20 CP C-suite executives globally, 71% of surveyed executives agree structural disruption is making rapid transformation essential, but the reality is that most organizations remain unprepared for this shift.
The report highlights how artificial intelligence (AI), platforms and retailer ecosystems are reshaping how demand is created and captured, exposing a widening gap between organizations redesigning decision-making and those still operating in silos.
Georgiana Iancu, Partner, Retail & Consumer Products Sector Leader and Indirect Tax Practice Coordinator, EY Romania: “As artificial intelligence and digital ecosystems increasingly shape how consumers discover and evaluate products, competitive advantage is no longer driven solely by efficiency, but by organizations’ ability to make coherent, integrated and data-driven commercial decisions. The challenge is not exclusively technological, but lies in how companies align their sales, marketing and e-commerce functions, clarify decision-making responsibilities, and integrate artificial intelligence in a way that supports human judgment. In the absence of this transformation, many brands face the risk of losing relevance in a selection process that is becoming increasingly mediated by algorithms.”
Success now hinges on visibility within AI-driven platforms
The report highlights how an ecosystem-driven commercial model is already taking shape, with over 77% of surveyed organizations saying partnerships with retailers, platforms and digital channels are now central to how they go to market. As these players increasingly control discovery through search, recommendations and retail media, brands are no longer competing solely for consumer attention – they’re competing for visibility and prioritization within these systems.
At the same time, most organizations remain unprepared for what comes next. While 47% of surveyed executives say influencing algorithmic product recommendations will be critical within five years, only 21% of respondents believe they can deliver this today. Readiness for AI-enabled, agent-driven commerce remains low, with many companies still in early planning or testing across key capabilities such as agent-ready brands, algorithmic visibility and AI-enabled buying journeys. Although progress has been made in established areas like demand signals and ROI accountability, organizations continue to lag in the emerging capabilities that are expected to define future competitive advantage.
The result is a widening gap between the pace of change and organizational readiness. Companies that turn expert experimentation into scalable capabilities might be better positioned to compete, while others risk falling behind.
Governance and fragmentation remain key barriers
Fragmentation across the commercial system remains a significant barrier to progress, with key capabilities still disconnected across functions:
Governance complexity and unclear decision rights are the leading barriers to transformation (35%), followed by leadership alignment (31%). Notably, technology and data foundations rank only third (30%), suggesting that while investment often prioritizes tech, it is foundational organizational issues that should be addressed first.
Looking ahead, executives remain divided on how radically sales and marketing will evolve. Mature organizations anticipate greater complexity, driven by regulation, data fragmentation and ecosystem dependence, and recognize the need to strengthen data foundations, governance and operating model integration to remain competitive.
AI informs decisions. Humans remain accountable.
While AI capabilities are expanding rapidly, commercial decision making remains deliberately human-led. Advanced organizations are designing systems where AI augments human judgement, improving speed and consistency while maintaining accountability and trust. Still, 61% of respondents say their organizations prioritize human judgement over fully automated AI decision making.
Looking ahead
As purchasing journeys are increasingly led by algorithms and agent-led interfaces, commercial success is being reshaped by how decisions are made within these systems. Yet few companies have redesigned how sales and marketing decisions connect end-to-end, creating a growing decision gap where strategies reflect the future, but operating models remain outdated — leaving many brands at risk of not being rejected, but never being considered. Closing this gap will require more connected decision-making, stronger data and clearer ownership to influence algorithm-driven discovery.