AI moves from pilot to core as brands rewire marketing playbooks

Brands are moving decisively beyond experimental AI pilots, integrating the technology into everyday marketing decisions across media planning, content creation, customer engagement and measurement. What was once ring-fenced as innovation is now becoming core to how campaigns are conceived, executed and optimised.

This shift is being driven by the need for speed, efficiency and sharper returns. AI-led tools are enabling faster campaign deployment, real-time optimisation of media spends and more precise audience targeting, allowing marketers to respond dynamically to consumer behaviour. In media planning, algorithms are increasingly informing channel mix, budget allocation and performance forecasting, reducing manual intervention and improving accuracy.

According to Statista, global AI marketing revenues are expected to reach $47 billion in 2025 and surpass $107 billion by 2028, reflecting rapid adoption of data-driven automation and personalisation. This surge is reshaping both how brands approach marketing and how consumers engage across the ecosystem. In India, this momentum is accelerating as brands increasingly invest in AI-led marketing to drive scale, efficiency and deeper consumer personalisation across digital-first audiences.

On the content side, AI is streamlining production at scale, from generating multiple creative variations to enabling hyper-personalised messaging across platforms. This has significantly compressed turnaround times, making always-on marketing models more viable and cost-effective. 

Customer engagement is also undergoing a transformation, with AI powering chat interfaces, recommendation engines and lifecycle communication, helping brands maintain continuous, contextual interactions. At the same time, measurement frameworks are becoming more robust, with AI enhancing attribution models and delivering deeper insights into campaign effectiveness and ROI. 

Said Amit Agarwal, Chief Marketing Officer, Infiniti Retail Ltd (Croma), “AI is increasingly becoming integral to our day-to-day marketing at Croma, especially across video and static content creation, as well as cohort-led digital communication, enabling more targeted engagement.”

He added that while AI-led creative generation and testing are improving speed and efficiency, human judgement remains critical in shaping the final output and ensuring consistency in brand communication, reinforcing the broader industry shift towards AI-assisted, human-led marketing.

Sahil Rawal, Vice President, Brand Marketing at Axis Max Life Insurance added, “AI is deeply integrated across our ecosystem, transforming raw data into strategic execution across key pillars, such as Listening & Insights, Content Creation & Engagement, Media Planning & Targeting and Operational Efficiency.”

He explained that AI-driven listening enables brands to triangulate signals across martech platforms, converting customer voice into actionable sentiment, refining product positioning and enabling sharper GTM strategies. In content and engagement, GenAI is being used to scale high-quality educational content, particularly in BFSI, while influencer-led personalisation and contextual integrations are making interactions more relevant.

On the media front, publisher algorithms are identifying high-intent moments aligned with consumer needs, while Marketing Mix Modelling is improving allocation and journey mapping is reducing leakages to lower acquisition costs. At an operational level, AI is automating routine decision-making, accelerating speed-to-market and enabling dynamic creative optimisation, allowing teams to shift focus towards strategy.

Importantly, Rawal noted that these applications are already delivering measurable impact. Advanced listening and sentiment analytics are enabling more customer-first decisions, while AI-driven content is reducing turnaround times and costs without compromising quality. Precision targeting through AI-powered ecosystems is improving engagement and conversion efficiency, and AI-led Marketing Mix Modelling is strengthening ROI through continuous optimisation.

Beyond brands, agency-side adoption is also accelerating. Global technology and talent partner Innova Solutions is embedding AI into its marketing workflows as part of a broader digital transformation push.

“AI today is central to our marketing execution, not just experimentation. Nearly 65–70% of our media planning decisions are now AI-assisted, helping optimize spends in real time based on audience behavior and platform performance,” said Gurtej Singh Chawla, Director of Marketing, Innova Solutions. 

He added that AI tools are reducing content turnaround time by 30–40%, particularly in first drafts and large-scale personalisation. In one campaign, AI-led audience segmentation identified a high-intent niche cohort, driving a 22% increase in CTR compared to traditional targeting, underscoring AI’s role in improving both speed and precision. However, he emphasised that human oversight remains essential for maintaining brand consistency and contextual relevance.

Chawla further noted that the most tangible gains are coming from AI-led media optimisation and marketing automation, with programmatic campaigns improving CPA efficiency by 18–25% and automation reducing manual effort by nearly 40%. AI-powered personalisation is also driving up to 2x higher engagement in some campaigns, particularly through intent-based messaging in B2B outreach.

Despite these efficiencies, the role of human intervention remains a constant thread. As brands scale AI adoption, marketers continue to anchor strategy, creativity and brand safety, ensuring that automation enhances rather than replaces decision-making.

Also read: Beyond the click: Answer economy rises as AI reshapes brand discovery

As AI drives 3x more discovery, India’s marketing funnel is being rewritten

AI in marketing in next 2-3 years

Looking ahead, industry leaders believe AI will become foundational to marketing. Chawla said that over the next 2–3 years, AI will evolve from a support tool to the backbone of decision-making, enabling real-time optimisation, hyper-personalised content and sharper targeting. Campaign cycles are expected to shrink, with measurement shifting from retrospective analysis to predictive intelligence.

He added, “That said, the true competitive edge will lie in how well brands balance AI-led automation with human judgment to preserve creativity, context, and brand integrity.”

Echoing this, Rawal said AI will move beyond efficiency to become a foundational layer for “hybrid intelligence” and real-time adaptability. Rawal said, “AI is not simply a tool for efficiency; but will shift from an efficiency tool to a foundational layer for ‘hybrid intelligence’ and real-time adaptability.”

He noted that marketing organisations will evolve into AI-augmented systems, requiring deeper AI fluency and giving rise to hybrid roles such as AI strategists and data translators.

At the same time, partner ecosystems will become central to value creation, with brands building modular, co-creative networks spanning internal teams, AI platforms, agencies and data partners. Agencies, in turn, will shift from execution partners to capability enablers, driving integration and interoperability.

AI-led content proliferation will further accelerate production and enable hyper-personalisation at scale, but also increase the commoditisation of generic output. As a result, distinctive brand voice, storytelling and emotional nuance will remain firmly human-led, with creative leaders evolving into curators of AI-generated content.

The emerging model, therefore, is not AI versus human judgement, but AI with human control. As adoption deepens, the competitive advantage will lie in how effectively brands balance automation with strategic oversight, turning AI from a tool into an embedded capability across the marketing ecosystem.

As AI becomes embedded across the marketing funnel, the focus is shifting from experimentation to scaled, outcome-driven adoption. The real differentiator will be how effectively brands combine AI-led efficiency with human judgement to drive both performance and brand integrity.