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At Quirk's Chicago this year, one thing was clear: The insights industry isn’t being disrupted by AI. It’s being redefined by it.
But not in the way most headlines suggest.
Across sessions—from global brands to emerging tech platforms—the conversation moved beyond “faster and cheaper” and toward something more fundamental: How insights teams drive real decisions in an AI-powered world.
Here are the five shifts that matter most.
1. From Outputs to Activation
For years, the job of insights was to deliver findings.
Now, the expectation is different: Insights must be usable, accessible, and continuously activated.
In one session, teams showcased AI-powered “living narratives”: dynamic, always-on repositories of customer understanding that can be queried, explored, and repurposed in real time.
Others demonstrated “smart personas”: AI interfaces that allow teams to interact with segments, not just read about them.
The common thread: Insights are no longer static deliverables, but interfaces for decision-making.
2. AI Is Not Replacing Research. It's Becoming the Activation Layer.
Despite the noise, one theme came through consistently: AI works best when it sits on top of strong research, not in place of it.
From AI-moderated qualitative to persona simulation to concept testing, the most effective use cases shared a pattern:
- Grounded in real consumer data
- Enhanced by AI for speed and accessibility
- Interpreted through human judgment
As one speaker framed it: AI can accelerate answers, but it’s only as reliable as the data it’s built on.
3. Speed Without Alignment Is the New Bottleneck
AI is making it easier than ever to generate insights quickly. But speed alone isn’t solving the problem.
In fact, it’s exposing a new one: Teams aren’t aligned on what decisions they’re trying to make.
From product to sales to marketing, different functions are still operating from different data, different definitions, and different timelines.
The result? Insights are produced faster, but not necessarily used more effectively.
The takeaway: The future of insights isn’t just faster workflows. It’s shared understanding across the business.
4. Data Quality Is No Longer a Back-End Concern
One of the most eye-opening sessions, led by Rep Data and E. & J. Gallo Winery, challenged a foundational assumption: That bad data simply adds noise.
By running the same study with and without quality controls, the results showed something more concerning:
- Bad data didn’t just skew results
- It changed them in inconsistent, unpredictable ways
In some cases, it inflated emerging channels In others, it understated critical ones.
The implication is hard to ignore: You can be wrong and not know it.
As AI accelerates analysis and decision-making, the quality of inputs becomes even more critical.
Because faster insights built on flawed data don’t just move quickly. They move in the wrong direction.
5. The Role of the Insights Team Is Expanding
Perhaps the most important shift discussed: Insights is no longer a function. It’s a capability.
Across multiple sessions, speakers emphasized:
- Insights should not live solely within insights teams
- Anyone close to the customer holds part of the picture
- The role of insights is to connect, validate, and activate that knowledge
This is where AI is having its most meaningful impact:
- Making insights more accessible across organizations
- Enabling non-researchers to engage with data
- Helping teams move from questions → answers → decisions faster
But with that comes a shift in responsibility: From delivering reports to shaping decisions.
Where This Leaves Us
Taken together, these themes point to a broader transformation. The future of insights isn’t defined by:
- How much data you collect
- How fast you analyze it
- Or how advanced your tools are
It’s defined by:
- The quality of your inputs
- The accessibility of your insights
- And your ability to turn both into action
Because in an AI-powered world, the advantage won’t come from having more information.
It will come from knowing what to trust, and knowing what to do with it.
A Final Thought
If there was one underlying tension across Quirk’s this year, it was this: AI is making it easier to generate answers, but it’s also raising the stakes on asking the right questions, and trusting the answers you get.
The teams that win won’t be the ones that adopt AI the fastest. They’ll be the ones that:
- Ground it in real data
- Align it to real decisions
- And use it to elevate, not replace, human judgment
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