How agentic AI is reshaping retail profit pools

The new rules for retail: a practical playbook for agentic AI

Agentic AI is rewriting the retail rules. As the technology becomes more intuitive, it becomes easier to use, by more people, across more parts of retail businesses – creating a generational opportunity to materially improve performance. Yet it also brings with it the risk of disintermediation, as traditional retail profit pools migrate to platforms, hyperscalers and LLMs who increasingly threaten to own the customer relationship.

7.2x

performance advantage AI leaders hold over the rest

74%

share of AI-driven performance captured by just 20% of firms

#7

retail's current ranking on the global AI maturity curve

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With consumer sentiment at its lowest since 2023, single-digit category growth forecast across the board, and capex envelopes squeezed by wages, business rates, cyber and compliance, retailers face an all-too-familiar tension of needing to protect margin today while investing for tomorrow.

Agentic AI is one of the few levers that will enable organisations to do both, but only those who move quickly and with intent.

Profit pools are moving. Move with them.

Agentic search and agentic commerce are reshaping how retailers make money. The shifts are already in motion: from D2C to A2A, where retailers sell to agents acting on customers' behalf; from products to missions, where agents interpret intent; from SEO to GEO, where content has to be readable, relevant and reputable to machines as well as humans; from omnichannel to ecosystems; and from product margin to network economics. Categories with comparable products, lower ticket value and lower engagement will feel it first.

“Today it is about transactional and experiential retail. Tomorrow it will be about increasing retail convergence across channels, platforms and industries, where the profit pools will shift to those who capitalise on changing consumer behaviour and emerging technologies.”

Jacqueline Windsor
Strategy& Partner and UK Head of Retail, PwC UK

Build value loops, not use cases

Point solutions and isolated use cases won't close the gap to leaders. The real P&L unlock sits in value loops — cross-functional cycles where decisions, execution and outcomes are connected, and every cycle generates learning that makes the next one smarter. From Idea to Launch and Attract to Convert through to Trade to Profit and Order to Fulfil, value loops orchestrate work across functions, eliminate handovers and turn AI from a productivity tool into an operating model.

Tech isn’t the bottleneck. It's leadership.

Most AI programmes don't fail because of the technology but rather because of the decisions leaders don’t take, such as where to invest, what to fix first, and how fast to move. Whether Measured Movers, Rapid Responders or Tomorrow's Trailblazers, AI leaders are now deliberately redesigning the important workflows, building foundations as they go, and moving at a pace needed to grasp the opportunity and avoid the risk of disintermediation.

The gap between leaders and followers threatens to grow quickly. For many, this is a generational opportunity to unlock value, and a narrow window to act.

“Tools are table stakes. Execution is the edge. The technology is never the bottleneck. The hardest shift is getting leaders to redesign how decisions flow — because an agentic operating model demands different accountability, different speed and different trust.”

Anna Bancroft
Digital Transformation Partner, PwC UK

How agentic AI is reshaping retail profit pools

Contact us

Jacqueline Windsor

Jacqueline Windsor

UK Head of Retail and Strategy& Partner, PwC United Kingdom

Tel: +44 (0)7801 074739

Anna Bancroft

Anna Bancroft

PwC UK Digital Transformation Leader, PwC United Kingdom

Tel: +44 (0)7968 096102

Sam Waller

Sam Waller

Leader of Industry for Consumer Markets, PwC United Kingdom

Tel: +44 (0)7850 515966

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