
CES 2026 didn’t introduce the future of commerce. It confirmed the end of an era.
Across conversations spanning media, platforms, data and analytics, partnerships, and growth strategy, one signal surfaced repeatedly: AI is no longer optimizing commerce. It’s restructuring it. And in doing so, it’s exposing the limits of channel-first thinking faster than most organizations are prepared for.
This wasn’t a message delivered in a single keynote. It showed up in how systems are being designed, how signals are being shared, and how decisions are increasingly automated across the commerce ecosystem.
When AI becomes the operating layer, channels can no longer be the organizing principle.
Channel-first commerce worked because it mirrored how organizations were built. Teams owned channels. Performance lived inside them. Optimization was incremental and explainable.
AI breaks that logic.
At CES, AI consistently showed up as connective tissue — collapsing planning, activation, personalization, and optimization into continuous feedback loops. These systems don’t care where a signal originates. They care whether it improves the outcome.
The faster AI moves, the less meaningful channel-level success becomes.
What this breaks: performance models designed to explain where something worked instead of why it worked.
CES 2026 made one thing clear: Connected commerce isn’t something brands are “moving toward.” It’s the environment they’re already operating inside.
Retail media signals now inform decisions far beyond retailer-owned environments. Identity and transaction data shape personalization across ecosystems. AI increasingly decides what content, offers, or experiences surface — often without a clear line back to a single channel.
That creates a mismatch:
Channel-first thinking doesn’t fail because it’s outdated. It fails because it can’t keep pace with how connected systems actually behave.
One of the most important signals from CES wasn’t capability. It was about credibility.
AI is exceptionally good at predicting clicks and optimizing relevance. It’s far less effective at understanding beliefs.
As digital experiences become more manufactured and perfectly tuned, shoppers grow more aware of the system behind them. The result is a widening gap between digital engagement and real-world commitment — between performance and conviction.
Connected commerce assumes digital signals translate cleanly into physical behavior. CES suggested that assumption is breaking.
CES also highlighted a growing paradox: As creative production becomes faster and easier, it loses one of its most important functions — signaling intent.
For decades, quality creative implied effort. Effort implied belief. Belief built trust.
AI breaks that chain.
When any brand can produce polished, emotionally fluent content at machine speed, audiences lose their ability to distinguish care from convenience. Personalization increases. Meaning often doesn't.
This isn’t a creative problem. It’s a trust problem — and it directly impacts connected commerce performance.
CES 2026 didn’t deliver a clean replacement for channel-first commerce thinking. That absence matters.
The fix isn’t a platform, a framework, or a re-org. It’s a shift in how decisions are made when AI moves faster than organizational alignment.
CES clarified the constraints:
What replaces channel-first thinking isn’t a structure. It’s judgment.
These aren’t channel questions.
They’re system questions.
And they now sit at the center of connected commerce success.
Channel-first thinking is breaking down. Let's explore what replaces it.
If AI is already acting as your operating layer, the real question isn’t how to optimize channels — it’s how to design judgment, trust, and decision-making at the system level.