Anastasia Braitsik is a powerhouse in the digital marketing world, blending technical SEO prowess with deep data analytics to navigate the shifting sands of programmatic advertising. As the industry grapples with the “black box” of AI-driven bidding, her insights offer a roadmap for brands and publishers trying to regain control over their media spend. This conversation delves into the erosion of trust within digital video inventory, the widening visibility gap caused by opaque AI decisioning, and the critical need for supply chain rationalization. We explore how the industry is moving beyond simple execution toward a model built on proprietary intelligence, unique data signals, and the necessity of explaining “why” an outcome occurred rather than just reporting it.
The shift toward programmatic video has brought a lot of efficiency, but it seems to have come at a cost to confidence. How do you interpret the current state of trust among media buyers when it comes to inventory transparency?
The reality is that trust in the digital video ecosystem is incredibly fragile right now, even when buyers think they are taking the “safe” route. According to the IAB’s 2026 Digital Video Ad Spend report, only about 57% of buyers actually trust the transparency of direct I/O, programmatic guaranteed, and self-serve platforms. When you move away from those direct methods into private marketplaces, that confidence drops below the 50% mark, which is a staggering realization for an industry built on data. The situation becomes even more dire in the open exchange, where trust levels plummet to roughly a third of all buyers. This isn’t just a minor skepticism; it is a fundamental breakdown in the relationship between the buyer and the platform, leaving many feeling like they are throwing money into a void without knowing if the inventory is truly what it claims to be.
When we talk about AI-driven decisioning, we often hear it described as a “black box.” How is this lack of visibility into the “why” behind an auction win affecting the way buyers and sellers operate?
We have reached a point where if you ask a media buyer why they won a specific placement at a specific price, the honest answer is increasingly that nobody really knows. This creates a sharp tension because the logic that was once partially inferable from outcomes has become completely opaque as AI models shift their weights continuously. It isn’t just the buyers who are left in the dark; publishers are facing the exact same problem from the other side of the auction. They watch their inventory being packaged and priced by these dynamic systems, yet they have no clear line of sight into why demand landed where it did or why a certain ad lost an auction. This guessing game makes it nearly impossible for a publisher to confidently price their inventory or forecast fill rates, leading to a sense of professional vertigo for everyone involved in the transaction.
The supply chain has faced heavy scrutiny recently, with some studies highlighting significant financial leaks. What does this “unknown delta” mean for the future of intermediaries in the adtech space?
The pressure on intermediaries is reaching a boiling point, largely because of the findings from studies like the 2020 ISBA/PwC supply chain report. That study uncovered a shocking reality: roughly 15% of ad spend was completely untraceable to any specific line item, representing a massive black hole of value lost across too many technical “hops.” This finding gave advertisers a very concrete reason to start demanding accountability and asking if every single intermediary in the chain is actually creating measurable value. We saw the fallout of this scrutiny in 2024 when a major adtech player actually wound down its advertising and data business, shuttering units it had spent billions to acquire. It proved that in an era of platform consolidation and privacy changes, simply sitting in the middle of a transaction is no longer a viable business model if you can’t prove you are adding something unique.
With AI commoditizing optimization and decision-making, where should companies look to find a durable competitive advantage?
The industry is splitting into a few distinct paths for survival, and the most successful ones are moving toward owning unique, irreplicable signals. Retail media networks are perhaps the most vivid example of this trend because they own deterministic, closed-loop transaction data that simply cannot be guessed or modeled by an outsider. As commodity data gets squeezed out by privacy regulations, these unique data signals become the lifeblood of the ecosystem. Other players are focusing on owning more of the workflow by folding optimization and forecasting into larger, AI-enabled stacks to prove they are more than just a middleman. Ultimately, the advantage goes to whoever can provide the “why” behind the performance, turning the ability to explain an outcome into a differentiator that is just as valuable as the performance itself.
There are several technical standards being introduced to address these transparency gaps. Which of these initiatives do you believe will have the most immediate impact on restoring market confidence?
The industry is fighting back against opacity with several critical frameworks, like the IAB Tech Lab’s Open Measurement SDK, which finally gives buyers independent and standardized measurement for ad delivery and viewability. This is vital for verifying that an impression is even valid before we even get into the weeds of pricing logic. We are also seeing the rollout of SupplyChain v1.1, which is designed to give buyers a full view of the actual path an impression travels before it ever reaches the viewer’s screen. On top of that, the MRC’s Digital Advertising Auction Transparency Standards and the IAB’s General Terms & Conditions are introducing much-needed reporting requirements for CTV. These aren’t just technical hurdles; they are the building blocks of a new infrastructure where transparency is treated as a premium asset rather than an afterthought.
What is your forecast for the programmatic video ecosystem over the next few years?
I believe we are heading toward a period of radical “transparency as a service,” where the platforms that survive will be the ones that can turn their “black box” into a “glass box.” By 2026, we will likely see a market where the 15% untraceable spend gap is significantly narrowed because buyers will simply refuse to work with intermediaries who cannot provide a clear audit trail. AI will stop being used as an excuse for opacity and will instead be leveraged to provide predictive forecasting that publishers can actually use to set their floors with confidence. We will see a shift where the ability to explain why a specific video ad won a placement becomes the standard requirement for any DSP or SSP. Success will no longer be defined by who has the most complex algorithm, but by who can provide the most trusted and explainable path from a brand’s dollar to a consumer’s attention.
