I remember the conversations clearly. Boardrooms, industry events, casual catch-ups with peers in ecommerce and digital. I’d say the same thing every time: artificial intelligence is going to fundamentally change how we work. Not in ten years. Not in five. Now.

The responses were predictable. Polite nods. Sideways glances. The occasional, “Yeah, but it’s not really there yet, is it?”

It was dismissed as hype. A novelty. Something for Big Tech to worry about, not real businesses doing real work in ecommerce, digital marketing, and customer experience.

That was barely two years ago. Look where we are now.

The pace of change is not linear, it is exponential

The sceptics weren’t being unreasonable. They were judging AI by what it could do at the time, and at the time, the output was often clunky, generic, and required so much hand-holding that it barely saved any effort at all.

What they missed was the trajectory.

The difference between GPT-3.5 and what we have access to today is not an incremental improvement. It is a generational leap. The models we work with now can reason through complex business problems, write production-grade code, analyse data sets, draft legal documents, build entire systems architecture, and do it all in a fraction of the time it would take a team of specialists.

And it is not slowing down. Every quarter brings a new capability that would have seemed like science fiction eighteen months prior. Multimodal reasoning. Agentic workflows. Real-time tool use. Context windows that can hold entire codebases. The rate of innovation in foundation models has outpaced almost every technology cycle in modern history.

While others waited, I started building

I did not wait for AI to be perfect. I started working with it the moment it was useful, and I learned how to make it more useful every single day.

That compounding effect is the part most people underestimate. When you commit early, you are not just saving time on individual tasks. You are building an entirely different operational capability. You learn how to prompt effectively. You learn where AI excels and where it falls short. You develop workflows, frameworks, and mental models that let you extract exponentially more value from every new model release.

Today, through Digital Discovery Group, I am delivering work at a pace that would have required a team five or ten times the size just a few years ago. Full platform builds. End-to-end ecommerce systems. SEO migrations. Security audits. AI-powered tools. Custom integrations. Documentation, architecture, deployment, all moving in parallel.

This is not about replacing people. It is about amplifying what one strategically-minded operator can achieve when they truly understand how to work with AI as a force multiplier.

Innovating at 100x in ecommerce, digital, and AI

I do not say this to boast. I say it because the gap is real, and it is widening every day.

While competitors are still debating whether to adopt AI, I am using it to build bespoke dealer management systems, design cybersecurity service offerings, architect first-party analytics platforms, and ship features on a weekly cadence that most agencies would schedule across quarters.

While others are outsourcing their SEO to generalist agencies running the same playbook from 2019, I am running domain migrations with Cloudflare-native redirect strategies, rewriting metadata at scale with structured audit workflows, and verifying every change against live crawl data.

While the market is still trying to figure out what “AI-powered” even means as a service offering, I have already built agentic AI systems with multi-model routing, retrieval-augmented generation, prompt injection detection, and tiered caching, deployed and running in production.

The velocity is not luck. It is the result of committing early, learning relentlessly, and refusing to wait for permission.

The real risk was never adopting AI too early

Every organisation I speak to is now scrambling to figure out their AI strategy. The conversations have shifted from “Is AI ready?” to “How far behind are we?”

The answer, for most, is further than they think.

Because AI readiness is not something you can shortcut. You cannot buy it off the shelf. You cannot hire one prompt engineer and call it transformation. It is a capability that compounds over time, and the people and businesses who started building that capability two years ago now operate in a fundamentally different league.

The real risk was never adopting too early. It was waiting too long.

Where to from here

I am not slowing down. The roadmap across Digital Discovery Group and our client platforms is deeper and more ambitious than anything I have tackled before, and I am delivering it faster than ever.

If you are a business owner, a founder, or a leader in ecommerce or digital, here is my honest advice: stop waiting for the perfect moment. Start building with AI today. Start learning what it can do for your specific workflows, your specific challenges, your specific competitive landscape.

The models will keep getting better. The tools will keep getting more powerful. But the advantage belongs to the people who are already in motion.

I told everyone AI would change how we work. It did. And the ones who listened early are the ones leading now.

Nigel Price is the founder of Digital Discovery Group, specialising in ecommerce strategy, digital transformation, AI-powered platforms, and managed cybersecurity services for small and medium businesses.