Rethinking AI adoption: What UK retailers can learn from their US counterparts

Date:
Tue, 04 Aug 2026 09:43:58 +0000

Description:
What UK retailers can learn from their US counterparts when it comes to the adoption of AI in ecommerce.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter AI spending is forecast to
reach $40.74 billion by 2030.

While AI adoption is accelerating on both sides of the Atlantic, UK and US retailers are taking differing approaches. US organizations are using AI to unlock new revenue opportunities and reshape the customer experience . UK retailers have largely focused on what AI can do internally. Al Williams Social Links Navigation

VP of Market Strategy at Commerce. There are understandable reasons for the differing approaches. But UK retailers risk falling behind if they don't broaden their strategy to focus on embedding AI across the full customer journey. Latest Videos From TechRadar Watch full video here: The
Transatlantic AI divide: Operational efficiency vs revenue growth For UK retailers, early AI adoption has been cautious. The focus has been on
internal operational efficiencies, such as creating marketing content, handling surface-level customer service and answering post-purchase queries.

US retailers, on the other hand, are embedding AI directly into the shopping journey itself. A third of US adults now use AI agents when shopping online, such as Amazon s Rufus, to discover or research products. In-chat checkout experiences are becoming increasingly popular. US retailers are positioning
AI more like a digital sales assistant than a back-office tool. You may like Nearly all retailers have now implemented AI, but many are still waiting to see business value New study reveals how AI is reshaping how people shop online but they still don't really trust it enough A human-first approach to AI in retail

While both approaches have their merits, there is a risk UK retailers get
left behind. The gap wont happen overnight. It will emerge quietly, starting with share of attention and then showing up in revenue.

Global retailers using AI for discovery, conversion, and lifetime value will start owning key decision moments. UK brands focused on operational
efficiency may find themselves absent from the journeys that matter most. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro
newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. Compliance vs experimentation UK retailers didnt arrive at caution arbitrarily. Regulation and the consumer expectations shaped it. GDPR means shoppers expect clear consent, transparency on data
use, and control before engaging with AI-driven experiences.

Thats why many UK retailers started with safer operational use cases, including automating support, enhancing content and streamlining fulfilment, before fully reinventing the ecommerce journey. Explainability and trust came before experimentation.

In the US, fewer regulatory guardrails made it easier for retailers to test
AI tools publicly, iterate quickly and showcase value directly to consumers. The UKs position isnt a weakness. Its a different starting point. What to
read next AI agents wont transform commerce until retailers redesign how decisions get made When AI agents start shopping for us, retails identity stack needs a rewrite Holistic AI adoption: the key to unlocking enterprise value

By ensuring customer-facing AI functions are both compliant and secure, UK retailers can both unlock new revenue and strengthen consumer confidence, rather than risking the need to roll back features due to compliance
concerns. Turning AI into a commercial growth engine The faster US adoption has been less about technology and more about how the internal conversation
is framed. The boardroom conversation isnt How do we save cost? its How do
we acquire smarter, convert faster and grow lifetime value?.

US retailers treat AI as a growth lever across the full customer journey,
from personalizing discovery and optimizing pricing, to guiding promotions, streamlining checkout and automating lifecycle communications. AI is framed
as a revenue driver, not an operational nicety.

UK retailers have strong operational foundations. The shift is about pointing that discipline toward growth, opt-in recommendations and assisted checkouts. Controlled experiments that build insight and customer confidence at the same time.

For these experiments to work, the product data underneath them has to be ready: rich specifications, reviews, imagery and supporting content that
gives AI something real to reference during conversational discovery and search.

Predictive personalization can prioritize high-value customers and surface relevant offers. Controlled agentic shopping experiences build familiarity
and insight over time. Dynamic pricing and AI-driven lifecycle communications improve both conversion and retention. None of this requires abandoning the trust UK retailers have built. The risk of falling behind may be gradual, but it is real UK retail has the foundations. Now they need to be built upon.

Customer acquisition costs will rise if competitors are winning the discovery moment first. Conversions will happen earlier and elsewhere if the journey isnt being shaped. Lifetime value will lag as AI-driven retention compounds faster for the brands that moved sooner.

Cumulative gaps are harder to close than visible ones. The retailers that combine strong governance and trusted data practices with genuine customer-facing AI innovation are the ones that will compete well in what comes next. We've featured the best ecommerce hosting. This article was produced as part of TechRadar Pro Perspectives , our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit



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