Author name: Nikita Lakhiani

Most conversations about AI today revolve around productivity, efficiency and speed of execution.  We use AI to draft content, build presentations, generate campaign ideas, summarize research, refine copy and automate repetitive tasks. These are valuable applications. But most are downstream applications — actions taken after the strategy has been defined, the problem framed and the

AI has dramatically expanded what marketers can personalize – across audiences, creative, channels and customer journeys. But greater capability has also exposed a harder question: can the organization actually operate personalization at the same scale that technology now makes possible? The constraint is increasingly less about generating another variation or identifying another audience. It is

A shopper asks an AI assistant to find a portable speaker under $150 that can arrive before the weekend. Product quality matters. Reviews matter. Price matters. But so does something marketers have traditionally considered further down the purchase journey: whether the product is actually available when the consumer wants it. That distinction is becoming more

Almost every marketer I meet wants to tell me about their content team. How much faster it is moving. How many variations they can test in a day. How work that used to take a week now takes an afternoon. I nod along, because all of it is true and most of it was hard