Do You Need to Spend Millions on AI?

Rightmove just committed £60 million to AI over three years. Investors flinched. Profit margin expectations dropped. And the company's own CEO framed it as a "two steps back to move three steps forward" situation. That's a lot of pain for a company with serious resources - and it raises a question worth asking honestly: is this what AI adoption actually has to look like?

The short answer is no. And if you're running an ecommerce store, the assumption that meaningful AI transformation requires enterprise-scale investment could be the most expensive mistake you never made.

The Old-World Thinking Behind Big AI Budgets

When large organisations greenlight eight-figure AI spends, they're often solving a very specific problem: legacy infrastructure. Decades of custom-built systems, siloed data pipelines, and platform debt mean that before AI can do anything useful, they have to rip out and rebuild the foundations beneath it. That's where the real cost lives - not in the AI itself.

Rightmove's investment includes a multi-year Google Cloud infrastructure overhaul, proprietary workflow tools for agents, and bespoke conversational search features built from scratch. That's not an AI project - that's a full platform re-engineering programme with AI sitting on top.

Most ecommerce businesses are not in that position. You don't have 20 years of tangled backend debt. You have a store, a product catalogue, and customers who need help finding the right thing to buy. That's a very solvable problem - and it doesn't cost millions to solve.

Building on the Shoulders of Giants

Here's what Rightmove is also doing - and this part often gets buried in the headlines: they're integrating ChatGPT and Gemini-powered features. In other words, even at their scale, they're not building foundational AI models from scratch. They're layering on top of existing AI infrastructure because doing otherwise would be absurd.

That same logic applies directly to independent ecommerce stores. The most powerful AI models in the world are already built. The conversational intelligence that would have cost millions to develop five years ago is now available through smart integrations. The stores winning with AI right now aren't the ones who built something - they're the ones who deployed something.

This is exactly the principle behind tools like AI shopping assistants designed specifically for ecommerce - not general-purpose chatbots bolted onto a store, but purpose-built assistants that understand your products, your customers, and your conversion goals from day one.

What AI Actually Needs to Do for Your Store

Strip away the corporate strategy decks and the investor presentations, and AI in ecommerce needs to do a handful of things well:

Help shoppers find the right product, faster

The majority of visitors who land on your store and leave without buying aren't doing so because they hate your products. They leave because the path to the right product is too uncertain, too slow, or too much effort. A well-deployed AI shopping assistant for ecommerce closes that gap instantly - guiding shoppers with natural language, surfacing the right items based on their intent, and removing the friction that causes people to give up.

Answer questions without requiring a human

Every unanswered question is a potential exit. Sizing, ingredients, compatibility, delivery times - these are the micro-doubts that derail purchases. Losing sales to unanswered customer questions is one of the most preventable conversion leaks in ecommerce, and it's one AI handles exceptionally well.

Make every visit feel personal

Personalized shopping experience AI is no longer a luxury differentiator - it's increasingly the baseline expectation, particularly among younger shoppers. When a visitor feels like a store understands what they're looking for, they stay longer, engage more, and convert at higher rates. According to Salesforce, 66% of customers expect companies to understand their individual needs. That expectation doesn't shrink based on store size.

Recover revenue before it walks out the door

Ecommerce conversion optimization AI works differently from traditional tactics like retargeting ads or email sequences. Instead of chasing shoppers after they've already left, it intervenes in the moment - when intent is highest and the sale is still possible. That real-time dynamic is what separates AI-powered conversion tools from everything that came before.

The Cost of Waiting Is Higher Than You Think

There's a tempting logic in watching big companies spend big and concluding that AI is a rich company's game. But that framing gets the risk calculation exactly backwards. The stores that wait for AI to "settle down" are the ones handing market share to competitors who moved earlier.

Rightmove expects to return to double-digit profit growth after 2028 - that's their timeline for AI to pay back. Your timeline can be dramatically shorter because your investment is dramatically smaller. You're not rebuilding infrastructure. You're deploying a solution that works with what you already have.

If you're curious about what that actually looks like in practice, what retailers are really asking for from AI in 2026 is a useful reality check - and the answer isn't "more complexity." It's smarter deployment of tools that already work.

The Smarter Path Forward

You don't need a £60 million budget to add conversational commerce AI to your store. You don't need a three-year infrastructure overhaul or a multi-cloud partnership. You need an AI shopping assistant that understands your products, speaks to your customers intelligently, and works from day one.

That's not a consolation prize for stores that can't afford the "real thing." That is the real thing - deployed without the overhead, the margin pressure, or the investor anxiety that comes with enterprise-scale transformation.

The lesson from Rightmove isn't that AI is expensive. It's that rebuilding legacy infrastructure is expensive - and most ecommerce stores don't have that problem. You have an opportunity to skip straight to the part where AI delivers results.

This article was inspired by BBC.

LISA is an AI shopping assistant built specifically for ecommerce - no infrastructure overhaul required, no enterprise budget needed. If you want to see what intelligent, conversion-focused AI looks like on your store, book a demo and we'll show you exactly what LISA can do.