How Is AI Rewriting Competitive Intelligence?
Article by market and competitive intelligence expert, CEO and founder of Comintelli, and author of Garden of Intelligence, Jesper Martell.
At a recent market and competitive intelligence event, I kept getting the same question in different forms. It came from CI leaders, strategy executives, and analysts who all sensed that something fundamental is changing.
So instead of answering one at a time, I decided to summarize my own thinking in 7 observations based on what I see across customers, partners, and our own journey at Comintelli.
These are not theories. They are patterns I see playing out right now:
1. Why Competitive Intelligence Functions Rise Fast and Die Young
2. The End of the Intelligence Cycle
3. When Intelligence Becomes Everyone’s Responsibility
4. The Intelligence Triad: Why AI Alone Will Not Deliver Value
5. Seeing What You Are Not Looking For: AI and the Power of Weak Signals
6. The Human Advantage
7. From Reporting to Anticipation: Proving Intelligence Value Where It Matters
1. Why Competitive Intelligence Functions Rise Fast and Die Young
I have seen this many times. A new CI function is launched with strong executive backing and real momentum. Adoption is high. Stakeholders are curious. Expectations are sky-high.
Then, a few years later, the function starts to fade. Budgets tighten. A key sponsor leaves. The CI team is questioned or quietly dismantled.
The reason is uncomfortable but clear. Traditional CI was designed as a centralized cost function, not as a strategic engine tied to daily decisions. When pressure comes, cost centers are the first to be questioned.
AI is breaking this pattern. Not because it is a better tool, but because it changes the structure of intelligence itself. We are moving away from a siloed CI department toward a decentralized intelligence web that supports real-time action rather than static reporting.
2. The End of the Intelligence Cycle
For decades, CI was built around the intelligence cycle: plan, collect, analyze, disseminate. It made sense in a slower world where information flows were manageable. That world no longer exists.
When global data volumes double every two years, linear cycles simply cannot keep up. By the time a report is finished, the signal has often moved on.
What I see emerging instead is the intelligence web. It is dynamic, non-linear, and always on. The goal is no longer to collect everything, but to sense what matters early.
As one participant at the event put it: “this new model is faster, more dynamic, and more integrated”. I could not agree more.
3. When Intelligence Becomes Everyone’s Responsibility
The strongest CI programs I see today are not centralized under one function. Intelligence is embedded across eg Sales, Product Marketing, Strategy, and R&D.
This reminds me of the evolution of quality management. Quality used to belong to one department. Over time, it became everyone’s responsibility. CI is following the same path.
Staying “close to the field” is the only way to ensure intelligence remains actionable. When CI is integrated into daily business units, it stops being viewed as overhead and is recognized as a mechanism for generating revenue and mitigating risk (and not generating costs).
4. The Intelligence Triad: Why AI Alone Will Not Deliver Value
I will be honest. I had my own aha moment here. As CEO of Comintelli, a technology company, and author of Gardens of Intelligence, I naturally believed that our AI driven platform (and all its new cool features) was the core of customer value. Then I started listening more carefully.
Many of our customers told us that curated sources and human advisory support were just as important, sometimes more important, than even our most advanced AI features. That is when it clicked.
Sustainable intelligence is built on a triad: Information, Technology, and People. Remove one leg and the whole structure becomes unstable.
The best CI is not just a platform. A platform is of course absoutely essential, but it is not sufficient. Real value comes when high quality data and strong technology are placed in the hands of capable people.
5. Seeing What You Are Not Looking For: AI and the Power of Weak Signals
This is where AI truly changes the game. Traditional monitoring focuses on known competitors and known markets. AI allows us to detect weak signals and emerging patterns that sit completely outside our focus. ie the “unknown unknowns” that are currently off your radar.
By clustering vast volumes of global data, AI helps us spot shifts in industries we are not even tracking yet. That is what I call peeking around the corner.
It allows leaders to see opportunities and threats while they are still faint signals rather than obvious trends. As one attendee said: “It gives the opportunity for us to see what is happening… and discover things that might not be on your regular radar.”
6. The Human Advantage
We are now in the era of augmented intelligence. AI does the grunt work, ie the heavy lifting. Research, monitoring, clustering. This frees humans to do what really matters: challenge assumptions, add context, and ask better questions.
However, the definition of “analysis” is shifting at a 45-degree angle. What we considered “advanced analysis” five years ago is now the baseline for AI. The new human frontier is asking the right questions: Is this a competitor’s defensive move, or are they preparing for a launch? Is this noise or a real inflection point?
To succeed, CI professionals must master both the “hard skill” of effective AI prompting and the “soft skills” of storytelling and trust-building. When AI becomes a commodity, influence becomes the differentiator.
7. From Reporting to Anticipation: Proving Intelligence Value Where It Matters
The real mission of modern CI is not to explain the past. It is to help shape the future. The CI teams that thrive are those that move from reporting to anticipation and prove value to their organizations through GRIT: Growth, Risk mitigation, Impact, and Transformation.
Across organizations, I have found that the strongest CI programs share six traits:
1. Clear purpose tied to real decisions.
2. The Triad: Balance across Information, Technology, and People.
3. High-quality trusted sources.
4. Broad internal involvement.
5. Integrate CI insights into existing platforms, like Sharepoint, CRM and BI tools.
6. Clear measurement of outcomes.
In a world where data keeps accelerating, operating without these 6 pillars is like driving in the dark. The question is simple: Are you just turning the headlights on, or are you learning to peek around the corner?
Want to learn more? Watch the webinar where Jesper Martell shares his insights on market and competitive intelligence, leadership, and building a culture of intelligence.
