POSSIBLE 2026 delivered a dense few days of conversations and competing ideas about where advertising is headed. This year in particular, certain themes around AI and identity started to converge.
At POSSIBLE 2026, Blis had a front-row seat to the convergence of AI and identity. At Brand Innovators’ AI for Modern Marketing forum, we joined senior marketers to discuss how AI is being applied across planning and activation in practice. In addition, Blis’ Head of Product Strategy, Ryan Bricklemyer, led a panel on navigating identity today. He was joined by leaders from SamsungAds, Yahoo! DSP, and Start.io, who provided some much needed clarity around what actually drives outcomes in a fragmented, signal-heavy ecosystem.
Throughout, the takeaway was about how the industry is starting to rethink its foundations, from how AI is applied to how identity signals come together to inform decisions.
AI Is moving from experimentation to expectation
At the Brand Innovators AI for Modern Marketing forum, the shift in how marketers are thinking about AI was clear. The session brought together around 20 marketers from companies including L’Oreal, DraftKings, Mondelez, and Genentech. The format blended a keynote discussion with rotating breakout conversations, creating a more candid view into how teams are actually using AI today.
The opening keynote framed AI within a broader shift in marketing strategy. From there, the conversation moved into practical application. AI is quickly becoming an operational expectation, and many marketers are now being directly measured on how effectively they are integrating AI into their workflows. At the same time, most teams still see themselves as early in the process, with plenty of room to mature.
Across the board, the emphasis was less on automation for its own sake and more on how AI supports better decision-making. AI is becoming embedded across the marketing lifecycle, but its value is ultimately defined by how effectively it is applied.
Identity is evolving into a system of signals
That shift toward practical application carried directly into T-Mobile’s ‘From Signals to Strategy: Navigating Identity Today’ panel. Fragmentation across devices, channels, and signals is the new normal, rather than something the industry is working to resolve into a single, unified system.
Within that context, identity is still important, but it’s no longer the center of everything. Panelists pushed back on the idea of a single universal ID replacing the cookie. As Emily Ray from Yahoo! DSP noted, identity is inherently different across platforms, and alignment around one shared identifier isn’t the goal. Instead, the focus is shifting toward interoperability, or frameworks that allow different datasets and identity solutions to work together.
That shift was reinforced by reframing the objective: If the goal is to drive outcomes, then proving conversion matters more than confirming whether it was a specific individual who saw an ad. That moves the industry away from a strict 1:1 mindset and toward having enough signal to make informed decisions.
Signal quality is the differentiator
Across events, one idea kept resurfacing: not all signals are equal, and the systems built on top of them – especially AI-powered ones – are only as strong as what goes in. The same principle applies more broadly across identity graphs and measurement frameworks.
Within that, mobile consistently shows up as the most reliable anchor because it captures persistent, intent-driven behavior. The mobile device has become the connective tissue across the ecosystem, linking digital interactions with real-world actions and helping bridge channels like CTV, DOOH, and location-based environments. At the same time, no single signal is sufficient on its own. Deterministic and probabilistic data both have a role to play, so the challenge is how they come together.
This shift in how signals are understood is also changing how platforms are evaluated. As automation becomes standard across planning and activation, what matters most is what those systems are optimizing against. If every platform is powered by similar AI, performance is dictated by the quality of the underlying data. That reframes the role of the platform from a buying interface to a decisioning system and reinforces the need for stronger, more connected signals across the ecosystem.
The future of identity is mobile data
The industry is moving toward a more flexible model built on multiple signals, stronger interoperability, and a clearer focus on outcomes.
Precision is about understanding behavior well enough to drive real-world action. Blis is built around that premise, using carrier data and real-world signals as a consistent foundation for planning, activation, and measurement.
Because if there is one thing that becomes abundantly clear every year at POSSIBLE, it’s that the tools will keep evolving, and the signal environment will keep shifting. Meanwhile, the goal remains the same – connecting exposure to outcomes in a way that holds up over time.