The Digital Media Salesperson, Reinvented: A life between the pitch deck and the prompt

Twenty-five years ago, a media sales career in India meant a phone, a Rolodex, and the ability to read a room, whether that room was a media agency's planning floor in Mumbai or a client's boardroom in Gurgaon. Today it means all of that, plus a dashboard that can predict a client's churn before the client knows it themselves. I've lived both versions of this job in this market from cold-calling agencies in Mumbai, to scaling ZEE5, to running Twitter India. And the thing I keep coming back to is this: AI hasn't replaced the salesperson. It has replaced the parts of the job that were never really about selling in the first place.

The Old Job Was Mostly Friction

India's media ecosystem has always run through a layered agency system, the GroupMs, the Zeniths, the Madison Worlds, where a single campaign could pass through a planner, a buyer, an ad-ops team, and a finance desk before it ever touched a client's P&L. For most of my career, being good at digital media sales in India meant being good at absorbing that friction.

You spent Monday building a proposal deck, customised for an agency's format because every agency wanted it their own way. You spent Tuesday chasing a regional ad-ops team for delivery numbers that never quite matched what the client's in-house team was seeing. You spent Wednesday explaining, again, why a campaign under-delivered in Tier 2 markets, using data pulled from three dashboards that never agreed, in a country where the difference between a Delhi buy and a Kolkatta buy could be enormous and nobody had clean visibility into why.

None of that friction was the job. The job was understanding what a brand marketer in Bangalore was actually afraid of this quarter, or knowing that a client in Pune cared more about protecting her budget from a skeptical CFO than about your CPM. The friction was just the tax you paid to get to that conversation.

What AI Actually Took Off My Plate

The shift isn't abstract to me. It's specific tasks that mattered more here than almost anywhere else in APAC, because India's market is uniquely fragmented, 22+ languages, wildly different media consumption between metro and non-metro India, and a price-sensitivity that punishes any inefficiency:

- **Proposal building across agency formats.** What took a planner two days customising decks for GroupM versus Zenith versus a direct client now takes an AI-assisted workflow twenty minutes, freeing up time that used to be lost purely to formatting, not strategy.

- **Regional forecasting and pacing.** Machine-driven pacing now catches under-delivery in a Tier 2/3 market on day three, not day twenty-three, critical in a country where regional performance can vary 3-4x within the same national campaign.

- **First-pass insights across fragmented audiences.** Instead of an analyst manually cross-tabbing performance by language, geography, and device tier, AI surfaces the anomaly and the salesperson's job becomes asking *why* Hindi-belt engagement diverged from South India, not finding *what* diverged.

- **Prospecting research on India's fast-moving startup and D2C ecosystem.** Understanding a new-age brand's funding stage, category dynamics, and likely media pain points used to take a weekend of reading. Now it takes minutes, which matters enormously in a market where the next big spender might be a 14-month-old D2C brand nobody has heard of yet.

This is not a small shift. In a market as operationally complex as India, it's the difference between spending 70% of your week on production and reconciliation, versus the reverse.

The Part AI Still Can't Touch

Here's what I've learned scaling businesses from zero in this market: trust is not a data problem, and in India it is arguably a more relationship-driven currency than in almost any other market I've operated in including South Korea, China, Australia, and Southeast Asia. A client doesn't sign a seven-figure deal because your deck was well-formatted. In India, that client signs because, at some point in the relationship, they believed you'd tell them the truth even when the truth was inconvenient for you and because that trust was built over multiple meetings, often over multiple years, often starting long before there was any budget to discuss.

AI can tell you *what* is happening in a campaign. It cannot tell you *why* a CMO in an Indian conglomerate is quietly deferring a decision because it needs sign-off three levels up that nobody mentioned. It cannot read the difference between a "yes" that means yes and a "yes" that means "let me think about it", a distinction that matters enormously in Indian business culture. That instinct built from thousands of interactions across a genuinely non-homogenous market is still the entire ballgame.

If anything, AI has raised the price of admission for the human parts of the job here. When the deck is table stakes, differentiation moves entirely to judgment: understanding a client's real organisational dynamics, navigating agency-client-brand triangulation, and building a case for why *this* budget belongs with *you*, not because the platform is better, but because you understood the business problem, and the room, better than anyone else pitching that quarter.

What This Means for Anyone Building a Media Sales Career in India Today

A few things I'd tell someone starting out in this market now, that I wish someone had told me:

1. **Stop competing on production speed.** Every agency and every salesperson will have AI-assisted decks and dashboards soon. That was never a moat in India; it's about to become table stakes even in Tier 2 markets.
2. **Get fluent in India's structural complexity, not just your platform's plan.** The salespeople who win here understand the agency-brand power dynamics, regional consumption patterns, and category-specific budget cycles, not just their own media plan.
3. **Treat AI fluency as a baseline skill.** Excel was once a differentiator here; now it's assumed. AI-assisted workflows will follow the same curve within a couple of years, build the muscle now, especially if you're competing for roles at global platforms hiring for India.
4. **Protect the muscle of judgment.** In a market where trust cycles run long and relationships compound over years, don't let AI-generated insight replace the pattern recognition you build by simply being in the room, repeatedly, with the same people.

The Honest Bit

I'll admit there's a version of this transition that's uncomfortable, and it's more acute in India than in mature markets. A large part of India's media sales workforce has historically entered through operationally heavy, junior roles, the trafficker, the junior planner, the person building the first-draft deck across dozens of agency formats. Those roles are shrinking faster here precisely because India's inefficiency was so large to begin with, which means AI's leverage is proportionally larger too. That's a real cost, and it changes how the next generation of sales leaders in this market gets trained. The industry hasn't fully solved for it, and I don't think pretending otherwise does anyone any favors.

But for the people already in the room, doing the human parts of this job, reading a client's real intent, navigating India's layered decision-making, knowing when to push and when to simply wait, this has quietly become one of the more interesting times to be in media sales in this country in twenty-five years. The noise has gotten cheaper. The signal, and the relationships that surface it, have gotten more valuable. That's a trade I'll take.

Taranjeet Singh is the former Managing Director – APAC, Venture Markets at Criteo