March 27, 2026
From AI-assisted creative testing and agentic workflows to brand guardrails, AI visibility, and trans-intelligence storytelling, MMA India’s latest Café on LinkedIn brought together 15 industry leaders to decode what will separate faster marketing from better marketing.
Marketing has entered a phase where AI can generate faster, test wider, and optimize harder than ever before. But at MMA India’s latest Café on LinkedIn, one idea came through with striking consistency: scale is no longer the differentiator. Judgment is. The marketers who win will be the ones who use AI not to flood the system with more content, but to sharpen insight, improve relevance, protect brand trust, and build work that still feels deeply human.
The conversation drew perspectives from founders, marketers, platform leaders, analytics experts, and creative-tech specialists working at the frontlines of AI-powered marketing. Across the discussion, the strongest examples did not frame AI as a replacement for creativity. They framed it as a force multiplier for better positioning, faster experimentation, tighter context, and more intelligent storytelling.
Participating speakers
- Dr. Avinash Jhangiani, Founder & CEO, Leadership Development, Play2Transform Group
- Deepit Purkayastha, Co-Founder & CEO, Inshorts and Public
- Gandharv Sachdeva, Country Head - India, Hybrid.ai
- Girish Ramachandra, Co-founder & CEO, Shopalyst
- Jaydeep Deshpande, Group Field Marketing Manager, Google Cloud
- Karan Khanna, Co-founder & COO, Huella Services
- Nikhil Kumar, Chief Growth Officer, mediasmart
- Niraj Ruparel, Emerging Tech Lead, WPP & GroupM India
- Nishant Arora, Senior Vice President - Marketing, Netcore Cloud
- Sandeep Pandey, CEO & Co-Founder, Skewb Analytics
- Saurabh Aggarwal, Founder & CEO, Insybit
- Saurabh Nath, Associate Director, Marketing, Perfetti Van Melle
- Shagufta D’sa, Head of Partnerships, OptimizeGEO
- Siddharth Gupta, Founder, NVECTA
- Vivek Bhargava, Co-founder, consumr.ai
9 sharp insights that emerged from the conversation
1. AI works best when it improves the thinking behind the creative, not just the speed of production
The most compelling examples shared were not about mass-producing assets. They were about using AI to uncover sharper human truths, identify intent, decode objections, refine positioning, and move campaigns closer to actual business outcomes. In several cases, that shift translated into stronger results: AI-assisted creative loops improved click-to-activation by 20–25%, media buying models cut CPM by 20%, and insight-led repositioning expanded addressable demand pools by 3–4x. The throughline was clear: better creative performance often begins with better diagnosis, not better decoration.
2. The industry is moving past vanity metrics and toward signals that prove real business impact
One of the strongest themes was the rejection of production metrics masquerading as performance. The smarter signal set now includes incremental conversion lift, sustained down-funnel value, lower CPL or CPA, stronger ROAS, reduced creative waste, faster time to effectiveness, and even the ability to unlock entirely new demand pools. The discussion also widened the lens on what “visibility” means in an AI-mediated internet. If discovery increasingly starts inside AI engines, then being retrieved, cited, and recommended by those systems becomes a real business signal too, not a theoretical one.
3. More variations do not make better marketing, better hypotheses do
No theme came through more sharply than this: quantity without discipline is just noise at scale. The leaders in the room consistently pushed for tight briefs, fewer but smarter variants, clearer learning agendas, strong north-star metrics, and fast pruning of weak routes. The future is not prompt-led chaos. It is hypothesis-led experimentation. That is the difference between using AI to create clutter and using AI to create compounding learning.
4. Creative quality will still be decided by taste, empathy, and strategic curation
There was broad agreement that AI has compressed executional advantage. It can accelerate output, reduce turnaround time, and produce parity-level assets faster. But quality still comes from human inputs: lived understanding, cultural fluency, emotional intelligence, sharper prompting, stronger briefs, and the instinct to know what feels true versus what feels synthetic. In other words, AI may have democratized execution, but it has not democratized judgment. That distinction is becoming the real creative moat.
5. Creative strategy is being rebuilt around context, orchestration, and systems
Another major shift: creativity is no longer just about the one big idea. It is about how that idea adapts across platform, audience, intent state, language, and moment. That means creativity increasingly behaves like a system, one that is continuously learning from performance signals across media, data, and content. Several examples in the discussion showed this in action, from trend-responsive creative workflows to closed-loop agent systems that generate, optimize, and refine in real time. In one case, agentic workflows drove TAT down by as much as 95%; in another, smarter targeting cut creative waste by 40%.
6. Brand trust will become the real stress test of AI adoption
The conversation was especially strong on guardrails. The brands that benefit from AI long term will be the ones that establish hard rules around brand voice, approved claims, design integrity, privacy, consent boundaries, bias checks, sensitivity review, and human sign-off. There was also a strong caution against over-personalization. Just because a brand can use deeper signals does not mean it should surface them in ways that feel invasive, creepy, or careless. Trust will not be protected by speed. It will be protected by restraint, consistency, and accountability.
7. The next generation of creative leaders will look more like orchestrators than makers
The skills that surfaced repeatedly were revealing: AI fluency, data literacy, systems thinking, consumer empathy, behavioural understanding, experimentation discipline, prioritisation, and above all, taste. The leaders of the next era will need to know what AI can do, what it cannot do, when to trust it, when to override it, and how to translate signals into narratives that still feel human. The role is already shifting from content creator to insight architect.
8. AI agents are becoming useful when they preserve intent across the full journey
The strongest agent examples were not flashy. They were practical. AI agents improved outcomes when they carried context from one stage to the next: learning from audience behaviour, matching message to likely intent, adapting follow-up based on the originating creative, or refreshing campaigns in response to real-time cultural signals. That continuity made targeting tighter, experimentation faster, and creative more relevant. The important lesson here is that agentic AI becomes valuable when it preserves the chain from signal to message to action.
9. The next frontier is not just AI storytelling, but storytelling with inclusive human meaning
The final stretch of the discussion pushed beyond performance mechanics into a more important question: what happens when AI scales stories, but humans still define meaning? That is where the idea of trans-intelligence storytelling landed with force. The marketers ahead of the curve will not use AI merely to multiply reach. They will use it to surface more diverse realities, local nuance, vernacular context, accessibility needs, and overlooked voices, while ensuring human judgment remains the layer that protects authenticity. In that model, effectiveness is no longer just about how many people saw the story. It is about how many genuinely felt seen by it.
The Takeaway
This MMA India Café session LinkedIn made one thing unmistakable: the AI era will not reward marketers simply for creating more. It will reward those who can build sharper systems, ask better questions, protect the brand, and convert machine intelligence into work that is context-aware, insight-rich, and emotionally credible. The future of creative effectiveness will belong to marketers who know how to combine speed with taste, automation with accountability, and scale with meaning.
