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Google Buyer Direct vs Agentic Ad Tech: Who Wins the Stack?

Before adding agentic ad tech to your stack, audit whether Google Buyer Direct already solves the same problem with less integration debt.

An editorial illustration of a giant chess piece towering over smaller automated robots on a board
Illustrated by Mikael Venne

Google's Buyer Direct threatens to outmanoeuvre agentic ad tech startups. Here's what that means for your programmatic stack in Southeast Asia.

The ad tech industry has a reliable cycle: a new category emerges, vendors rush in, brands over-buy, and someone eventually asks why the dashboards don’t talk to each other. Agentic ad tech is currently in the ‘rush in’ phase — and Google may already be building the off-ramp.

What Google’s Buyer Direct Actually Changes

AdExchanger’s recent guest column makes a pointed argument: Google’s Buyer Direct product — which lets advertisers transact directly with publishers through Google’s infrastructure, bypassing traditional open-auction programmatic pipes — may have a structural advantage over the crop of agentic ad tech startups promising autonomous campaign optimisation.

The logic is worth sitting with. Agentic platforms are essentially building intelligence layers on top of existing programmatic infrastructure. Google is quietly rebuilding the infrastructure itself, then adding intelligence to that. The gap between those two approaches isn’t just technical — it’s a question of where the leverage lives. If the pipes are proprietary, the agents running through them are guests.

For brands currently evaluating agentic DSPs or AI-optimisation middleware, this creates a real dilemma: do you commit to a third-party agentic layer now, knowing Google may render it redundant within 18 months?

The Stack Debt Problem Nobody Wants to Audit

This tension is a specific version of a broader disease in marketing technology: buying activation before establishing infrastructure. Most mid-to-large brands in Southeast Asia are running programmatic through a combination of DV360, regional DSPs like Xaxis or Amnet, and increasingly, platform-native buying on Meta and TikTok. Layering an agentic optimisation tool on top of that isn’t innovation — it’s adding a seventh instrument to a band that hasn’t done a soundcheck.

The honest audit question is: what problem is the agentic layer actually solving that better data hygiene and cleaner audience architecture wouldn’t address first? In most stacks I’ve seen, the bottleneck isn’t optimisation intelligence — it’s that the signals feeding the algorithms are fragmented, inconsistently tagged, or delayed by 24–48 hours from offline data integrations.

Buyer Direct’s appeal, if it delivers on its architecture, is that it collapses some of that fragmentation by consolidating the transaction layer. Less intermediary hops means cleaner signal. That’s not a feature — that’s a different paradigm.


What Media Owners Are Doing in Response

The supply side is watching this closely. Are Media’s appointment of Bruce Levine — formerly CTO at Australian Community Media — as Director of Technology and Product is a telling signal. Premium publishers are investing in technical leadership not just to modernise their own infrastructure, but to ensure they have credible counterparts when negotiating direct programmatic relationships with large advertisers.

For Southeast Asian publishers — think regional news groups, lifestyle portals, and the growing number of creator-led media properties — the strategic implication is identical. If Buyer Direct and similar publisher-direct frameworks gain traction, the value of having clean first-party data, well-structured inventory, and technical teams capable of executing direct deals increases significantly. Publishers who remain dependent on open-auction revenue are increasingly exposed.

For brand advertisers, this creates an adjacent opportunity: direct publisher relationships, structured through platforms like Buyer Direct, could offer brand-safe inventory with better attribution integrity than open-market programmatic — particularly relevant in markets like Indonesia and Vietnam where brand safety tooling has historically lagged.

How to Think About Your Agentic Investments Right Now

None of this means agentic ad tech is a dead end. It means the evaluation criteria need to be sharper than ‘this demo looked impressive.’ Three questions worth applying before any commitment:

1. Does this tool work with or around Google’s infrastructure? Platforms that integrate cleanly with DV360 and SA360 data flows are lower-risk than those requiring parallel data pipelines. The more a vendor needs you to shift budget outside Google’s ecosystem to demonstrate value, the more you should stress-test their long-term positioning.

2. What’s the integration cost, not the licence cost? Agentic platforms typically require clean conversion data, properly structured audience segments, and often a customer data platform underneath them to function as marketed. If your CDP implementation is six months behind schedule — and whose isn’t — that agentic layer is running on fumes.

3. What does vendor concentration look like in 24 months? The agentic ad tech market is moving fast enough that the startup you’re piloting today may be acquired, pivoted, or priced out of your budget tier by the time your current contract renews. Build exit costs into the evaluation, not just entry costs.

The most durable stack decisions I’ve seen in this region treat Google infrastructure as gravity — you can work with it or fight it, but pretending it isn’t there is how you end up with a beautiful agentic tool that can’t access your highest-performing audience segments.


Key Takeaways

  • Google Buyer Direct’s infrastructure play may structurally undercut agentic ad tech middleware before the category matures — assess vendor longevity before committing.
  • Stack debt is a bigger conversion drag than optimisation gaps; audit data hygiene and audience architecture before adding intelligence layers.
  • Southeast Asian publishers investing in technical leadership are positioning for a direct-deal future — brand advertisers should be building those relationships now.

The real question for 2027 planning isn’t which agentic tool to adopt — it’s whether your organisation has the data infrastructure to make any intelligent system work. Buying optimisation on top of fragmentation is the oldest mistake in this industry, and it doesn’t get less expensive just because the interface looks like a chat window.


At grzzly, we help brands across Southeast Asia audit and rationalise their programmatic and MarTech stacks before the next vendor cycle begins — because the best tech decision is often the one you don’t make. If your stack has grown faster than your team’s ability to activate it, that’s exactly the conversation we’re built for. Let’s talk

Crispy Grizzly

Written by

Crispy Grizzly

Auditing, assembling, and occasionally dismantling marketing technology stacks for brands that have over-bought and under-activated. Precision over proliferation.

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