Indonesia Singapore ไทย Pilipinas Việt Nam Malaysia မြန်မာ ລາວ
← Back to Blog

Omnicom's AI Ad Stack Bet: What It Means for Media Buyers

Omnicom's move to AI-powered direct buying signals the beginning of the end for bloated ad tech middleware — and brands everywhere should take notes.

By Neon Grizzly →
Editorial illustration of a holding company using AI to bypass layers of ad tech intermediaries
Illustrated by Mikael Venne

Omnicom is using AI to cut ad tech middlemen. Here's what that means for programmatic strategy and media buying in Southeast Asia.

Omnicom just signalled that the ad tech tax — that sprawling tollbooth between advertiser intent and actual impressions — has an expiration date. And they’re the ones writing it.

The Middleware Problem Omnicom Is Actually Solving

During its Q1 2026 earnings call, Omnicom CEO John Wren outlined a plan to use AI to route media spend more directly to publishers, bypassing layers of ad tech intermediaries that have historically extracted margin at every handoff. The timing is pointed: this was also Omnicom’s first full quarter with IPG integrated — and IPG brought Acxiom’s data infrastructure with it, the same asset Omnicom passed on buying for $2 billion back in 2018. That decision looks prescient now. Instead of owning a legacy data business, Omnicom is building toward an AI-native buying architecture that uses first-party data as the fuel rather than a third-party middleman’s audience segments as the chassis.

For anyone who’s stared at a DSP fee waterfall and wondered where 40% of the CPM actually goes, this is directionally correct. The question is execution. Holding company tech ambitions have a long history of PowerPoint outpacing product.

What “Cutting Out Middlemen” Actually Requires

The ad tech supply chain isn’t inefficient by accident — it’s inefficient by design, because each layer solved a real problem at a particular moment in programmatic history. SSPs, DMPs, verification vendors, and brand safety tools all exist because someone needed them. Removing them without replacing their function is how you end up with reach, zero accountability, and a fraud bill.

What Omnicom is betting on is that AI can collapse multiple functions — audience targeting, brand safety scoring, frequency management, and optimization — into a single model layer sitting closer to the buy side. That’s theoretically achievable. Google’s DV360 and The Trade Desk have both been moving in this direction with their own AI bidding products. The differentiator Omnicom is playing for is proprietary data — specifically, the combined first-party signals from IPG’s Acxiom heritage, Omnicom’s own client data, and whatever clean room partnerships they build out.

For in-house programmatic teams and independent media shops, this is the architecture to watch. If it works at holding company scale, expect the same pressure on your DSP stack within 18 months.


The Southeast Asia Wrinkle

This conversation lands differently in Southeast Asia, where the ad tech stack has always been a more fragmented, platform-mediated affair. A significant share of digital media spend here runs through walled gardens — Meta, TikTok, Google — or through regional e-commerce platforms like Shopee and Lazada that operate their own retail media networks with closed data ecosystems. The “middleman” problem that Omnicom is solving for open web programmatic is partially already solved here by platform consolidation — but it’s replaced by a different constraint: data portability is nearly zero across platforms, and cross-channel attribution remains largely theoretical.

For brands operating across Thailand, Indonesia, Vietnam, and the Philippines, the practical implication isn’t “should we replicate Omnicom’s architecture” — it’s “how do we build enough first-party data infrastructure that we’re not entirely dependent on any single platform’s audience graph.” That means investing in CRM connectivity, loyalty programme data, and LINE or Grab ecosystem integrations that can feed clean room environments rather than raw audience segments straight to a DSP.

Audio’s Quiet Surge — And What It Signals for Media Mix

Separately, Digiday’s reporting on audio spending ahead of the 2026 World Cup points to something worth flagging for media planners: podcast and streaming audio are no longer a test-and-learn line item. Brands are actively shifting summer campaign weight toward audio to complement video-heavy sports buys, using podcast sponsorships and dynamic audio ads to extend reach into environments where screen attention is fragmenting.

This matters for Southeast Asia because audio consumption patterns here are mobile-first and heavily platform-specific — Spotify has strong penetration in Indonesia and the Philippines, while regional podcast ecosystems are growing in Thai and Vietnamese. Programmatic audio buying through platforms like AdsWizz is still underdeveloped relative to the audience opportunity. For brands already saturated on Meta and Google reach curves, audio represents genuine incremental reach — particularly among commuter and working audiences in urban centres like Jakarta, Ho Chi Minh City, and Bangkok. The targeting precision isn’t yet where video programmatic is, but the CPMs reflect that gap, and early movers are building frequency in less contested inventory.


Key Takeaways

  • Omnicom’s AI-powered direct buying architecture is a structural bet on first-party data over middleware — media teams should audit how much of their current ad tech stack they’d actually miss if it disappeared.
  • In Southeast Asia, the middleware problem is partially replaced by platform dependency — the strategic priority is first-party data infrastructure, not DSP consolidation.
  • Programmatic audio represents meaningful incremental reach in SEA’s mobile-first urban markets, with CPMs that still reflect its underinvestment.

The deeper question Omnicom’s move raises isn’t really about AI — it’s about who owns the data layer in the next era of programmatic. If holding companies succeed in building proprietary AI buying models, the independent DSP and DMP ecosystem faces structural pressure it hasn’t seen before. For brands that don’t sit inside a holding company’s managed services umbrella, that’s either a problem or an opportunity, depending entirely on how aggressively you’ve been building your own data assets. Which side of that line are you on?


At grzzly, we work with growth-focused brands across Southeast Asia to cut through ad tech complexity — whether that’s auditing programmatic supply paths, building first-party data strategies, or connecting media spend to outcomes that actually show up in the business. If Omnicom’s play has you rethinking your own stack, we’re happy to think through it with you. Let’s talk

Neon Grizzly

Written by

Neon Grizzly

Fluent in DSPs, bid strategies, and the baroque architecture of the modern ad stack. Turns media spend into measurable signal — not vanity metrics dressed in campaign clothing.

Enjoyed this?
Let's talk.

Start a conversation