This year the mood shifted from what is possible to what actually delivers value. McKinsey’s recap of the week put a number on the gap that everyone in the room already felt: nearly 60 percent of marketers now use AI multiple times a week, yet only 10 percent have redesigned their workflows enough to capture real business impact. WSJ’s Journal House sessions with CMOs from JPMorgan Chase, Lenovo, and Adobe centered on the same tension: how to prepare brands and teams for a world where AI agents, not just human buyers, are doing the discovering.
A recurring phrase from the week was “mediocrity at scale.” Content is easier than ever to produce and easier than ever to make forgettable, because most of it is trained on the same patterns. That is exactly why the practical, unglamorous questions matter more than the panels do right now.
Inside Software published a short list this week that captures that shift better than most of the Cannes recaps. It reads like a real agenda for a real marketing leadership meeting, not a stage script:
- How many experiments did we run last month, and how many changed what we did next?
- Where are we over-measuring old motions instead of testing new ones?
- What percent of our AI work is creating more content versus creating more market learning?
- Do we have an account intelligence workflow that sales actually uses?
- Are we testing messages, offers, segments, channels, and sales plays, or mostly producing more campaign assets?
- Which outside capability should we bring in: personalization, dynamic spend allocation, customer intelligence, or owned channel discovery?
Every one of those questions is really the same question asked six ways: is your marketing organization finding signal, or just generating volume. That is the exact gap Polaris I/O was built to close.
What “Nothing Gets By You” means in this context
Polaris I/O is a pre-intent signal intelligence platform. The name matters here because most marketing and sales stacks are built to catch intent after it has already surfaced — a form fill, a demo request, a pricing page visit. By the time that happens, three competitors have usually already seen the same signal. Polaris I/O is built to catch the signal before intent shows up anywhere near a form, so the account team is already informed by the time a buyer is ready to raise a hand.
Run the Cannes questions against that lens and the answers get concrete fast.
“Do we have an account intelligence workflow that sales actually uses?” This is the one most marketing organizations quietly fail. Dashboards get built, and sales stops opening them within a quarter. Polaris I/O’s platform is designed around the workflow sales reps already live in, not a separate tab they have to remember to check. Signal only counts if it reaches a rep before the deal does.
“What percent of our AI work is creating more content versus creating more market learning?” This is the “mediocrity at scale” problem in one sentence. Polaris I/O’s value is not another content generator. It is a way to turn pre-intent signal into market learning: which accounts are showing real movement, which segments are heating up, which messages are actually landing — so the content that does get made is built on evidence instead of a content-calendar quota.
“Are we testing messages, offers, segments, channels, and sales plays, or mostly producing more campaign assets?” Signal intelligence gives marketing something to test against that is not just impressions or clicks. It gives a read on real account-level movement, which makes it possible to run a message or channel test and know within weeks whether it changed buyer behavior, not just engagement.
“Where are we over-measuring old motions instead of testing new ones?” Most measurement stacks are built around the last decade’s funnel. Polaris I/O’s signal layer sits earlier in the buying journey than most measurement tools were designed to see, which is exactly where the new motions McKinsey and WSJ were describing at Cannes need to be tested first.
The bigger point coming out of Cannes
The clearest signal from Cannes this year was not a new platform or a new format. It was a correction. The industry spent two years asking what AI could do. This year the room finally asked what it should be doing, and for most CMOs the honest answer was: finding the signal that actually predicts revenue, not producing more assets that look like signal.
That is the agenda Polaris I/O was built for. Nothing gets by you only means something if you are looking in the right place before everyone else is.
