Artificial intelligence has moved beyond the marketing buzzword stage. Brands and agencies are weaving it into everyday workflows, from creating content and analysing consumer behaviour to optimising campaigns and managing customer interactions. The focus is shifting from what AI can do to what it can actually deliver for the business.

The numbers reflect this momentum. Salesforce’s State of Marketing report, released in July 2026, found that 81% of marketers in India have adopted AI. Some 83% say they need more personalised content than they can currently produce, and 81% are turning to AI to bridge that gap. Fragmented customer data and privacy concerns, however, remain major barriers to scaling personalisation. Globally, the American Marketing Association’s 35th CMO Survey, based on 308 senior marketing leaders, found AI use has nearly doubled in two years, with content creation reported by 73.9% of companies and personalisation by 65.4%.

The practical opportunities are clear. Generative AI helps teams build multiple creative variations, tailor messaging for different audiences, analyse campaign performance and speed up production. In media planning, AI supports audience segmentation, budget optimisation and real-time adjustments, while customer-facing tools enable more responsive interactions across digital touchpoints.

Yet wider adoption does not automatically mean stronger results. The real test is whether these tools improve effectiveness, customer experience and return on marketing investment, not just how much content they produce. The World Federation of Advertisers’ State of AI in Marketing 2026 report shows how far the shift has gone: 96% of surveyed brands now use generative or agentic AI, up from 45% in 2023, with 54% using it for media buying and 48% for strategy and planning. Scaling adoption, however, remains a challenge.