By Sarah Farrell
10 Feb 2026

Retail in 2026: AI, Workforce Pressure and the Reality of Execution

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Part 2 of a four-part series on the forces reshaping retail

In the first article of this series, we explored how value, clarity and trust have become baseline expectations in physical retail. In this second part, we turn to the forces reshaping how retailers actually operate - and why execution capability is now as critical as strategy.

AI, automation and data-led decision-making dominate the conversation about retail’s future. But beneath the headlines sits a more practical truth: technology only creates advantage if organisations can absorb change and deliver it consistently, at pace, in the real world.

AI is moving into the operating model

Retailers are moving beyond AI pilots and proofs of concept. In 2026, AI is increasingly embedded into everyday workflows - from forecasting and merchandising to content generation, service and optimisation.

This shift raises expectations across the business. Decisions happen faster. Changes occur more frequently. Accuracy matters more, not less.

Yet for many retailers, the constraint is no longer the technology itself. It is governance, data readiness and the ability to operationalise outputs without introducing risk or overload. AI accelerates decision-making, but it also compresses timelines and amplifies the cost of poor execution.

Workforce pressure is shaping what is realistically deliverable

Alongside technological change, retail teams continue to operate under sustained workforce pressure. Skills gaps, labour shortages and fatigue are no longer short-term challenges - they are structural conditions.

Teams are expected to manage more complexity with fewer people, often while maintaining high standards of customer experience and brand consistency. This places a premium on simplicity, repeatability and external support.

In this environment, execution quality is less about ambition and more about practicality. Retailers increasingly favour approaches that reduce manual effort, minimise rework and limit the burden placed on store and central teams.

Reliability has become a competitive advantage

As supply chain disruption and operational volatility persist, resilience and predictability are now board-level concerns.

Retailers are prioritising fewer failures, faster recovery and more consistent delivery across estates. This means tighter control over assets, clearer processes and greater discipline around change management.

Novelty still matters, but it no longer compensates for inconsistency. In 2026, reliability is a differentiator - particularly when changes must be rolled out across multiple sites, formats and regions.

Where the operating model meets physical reality

AI-driven insights, strategic decisions and central plans ultimately land in physical space. Pricing updates, range changes, campaign shifts and experience refreshes all surface first in-store.

This is where misalignment is most visible - and where pressure is felt most acutely by frontline teams.

Retailers that perform well in this environment tend to share common traits: standardised assets, clear specifications, trusted execution partners and repeatable rollout processes. These reduce operational strain and allow internal teams to focus on higher-value activity.

Physical execution, in this sense, is not separate from the operating model. It is where the operating model is tested under real conditions.

Looking ahead

The themes explored in this article reinforce a simple idea: the pace of change in retail is increasing, but capacity is not. Success in 2026 will depend on how well retailers design for execution, not just innovation.

In Part 3 of this series, we’ll examine how stores themselves are being treated as competitive systems - combining experience, format strategy and rollout excellence to create advantage at scale.

Because as expectations rise and pressure intensifies, the retailers that win will not be those who plan the most - but those who can deliver, consistently, across every store.

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