In June 2008 I started my first job as an SEO Trainee in Ahmedabad. My days were keyword lists, meta tags, site audits and link building. Nobody around me was talking about social media strategy, marketing automation or artificial intelligence.
Since then I’ve worked through search, social, mobile, performance marketing, automation and now AI — in India, in Dubai and the wider UAE, and now in the UK. Every wave arrived with the same promise: this changes everything. Some of it did. Most of it didn’t. These are the lessons that held.
1. Channels change. Intent doesn’t.
Whether it was a search query in 2008, a social ad in 2016 or a question to an AI assistant today, the customer was always trying to solve a problem. The businesses that did well understood that problem better than their competitors. The channel was secondary.
2. Doing the work makes you a better strategist
Because I spent years running campaigns, building reports and fixing websites myself, I know what a recommendation costs to implement. That’s the difference between a strategy that looks good in a presentation and one that survives contact with a real team.
3. Channels work better together
For years I watched SEO, paid media, social and email run as separate teams with separate reports. The best results I’ve seen — including leading strategy across two brands at once — came from treating them as one system with shared KPIs.
4. Automation pays before AI does
At Lyzo AI and The Automation Lab, some of the biggest efficiency gains came from connecting existing tools so that leads and information moved without manual effort. AI then made those workflows smarter. The order matters.
5. Different markets, same fundamentals
Customers in Ahmedabad, Dubai and London behave differently, and regulation differs a lot. But every business still needs customers who get value, teams who have clarity, and economics that last.
Technology alone has never transformed a business. People do. Strategy does. Execution does.
What this means for AI
AI is the most powerful wave I’ve worked through, and I use it every day. But the lessons from the earlier waves apply more than ever: start with the customer problem, make it simple, connect it to how the team actually works, and measure it.
Technology will keep changing. The ability to create value from it is what matters.