Why Aggressive Intelligence Is Back
Neutral information is failing senior executives who need to generate business results; and a free intelligence brief to demonstrate what actually moves the needle today
For much of the past decade, the default posture of strategy, research, and intelligence work has been caution. Analysis became more comprehensive, more balanced, and more carefully hedged. The implicit belief is: neutrality equals credibility, and that the job of decision-support functions is to inform rather than to orient.
That posture is outdated.
Senior leaders are no longer asking for exhaustive views of the landscape. They are asking for direction. Where is the advantage? Where is the weakness? What can be pressed, and what must be defended?
This is a failure of incentives and structure. Internal strategy, intel, and research teams are constrained by political risk, consensus pressure, limited access to primary external sources, and the need to remain broadly “right” rather than decisively useful.
This system produces intelligence that is usually correct and polished, but largely inert.
What is emerging in response is not simply intelligence that “takes a position.” That framing is too small.
What is actually happening is that research and intelligence is being fused with strategy itself. Pure research and intelligence roles that stop at collection and synthesis are already becoming indefensible, and many will disappear from corporate rosters if they do not evolve quickly into functions that can frame choices and recommend action.
Yes, this approach carries risk. When intelligence is fused with strategy, you will sometimes be wrong.
But the alternative is worse:
I’ll share the anecdote of a Fortune 500 corporation operating in a very competitive market, whose research + intelligence organization is split into teams organized around collection methodology: dozens of people doing either online research only, or surveys and interviews only, with a hard wall between the two. Not a single deliverable, let alone competitive strategy, is informed by a combination of inputs from both teams, it’s just one or the other: you can have a scoop of chocolate, or strawberry, but not both.
These dinosaur structures still exist in major corporations, in 2026. At some point, perhaps in a hard fiscal quarter, management will ask two obvious questions:
Can AI and vendors do all this collection for a fraction of the fixed payroll expense?
Whose job is it, exactly, to leverage all this research and intel being produced by dozens of people to actually deliver a competitive edge to our business?
The Collapse of Collection, and the Rise of Competitive Strategy
As the cost of information collection collapses, the value shifts decisively to interpretation, framing, and choice. Knowing what is true is no longer scarce. Knowing what to do about it is. The edge now comes from coupling intelligence with sharp strategic thinking: game theory, incentive analysis, competitive dynamics, power mapping, and the disciplined application of frameworks that translate signals into moves.
This is where traditional research and intelligence functions simply break down. They were never designed to deliver winning strategy; they were stood up to supply inputs. Its practitioners often come up through market research ranks that prize neutrality, methodological rigor, and completeness. Those skills matter, but they are insufficient when the new mission is to recommend a competitive play that reallocates capital, reshapes a product roadmap, or invites retaliation.
What business leaders in major companies increasingly need is not better intelligence in isolation, but intelligence that embeds a view of competitive interaction, second-order effects, and asymmetric advantage. Intelligence that answers not just “what is happening,” but “what move this enables, and why now.”
This is why the expectation bar has risen. As AI erodes the value of collection and summarization, CEOs, business unit leaders, product leaders, and even strategy leaders no longer want inputs they must translate themselves. They want orientation. They want to see how facts, incentives, and behavior combine into a coherent competitive posture.
I’m sharing an example of this posture: an intelligence brief on a publicly traded company. Its purpose is not to exhaustively document a particular player, but to frame a strategic problem: where they are constrained, where they are retreating, and how those constraints create openings for other players. That is not a research deliverable but a strategic artifact.
Free access to The Intelligence Council’s brief on Skillsoft (NYSE:SKIL) published on Jan 21.
I’m making this particular newly published brief available without charge for a simple reason. Many readers still associate “intelligence” with volume, coverage, or methodological rigor alone. Until you see what decision-oriented intelligence actually looks like, the distinction remains abstract. This brief is intended as an artifact. It shows how expert interviews, external primary research, forensic analysis of financial information, and the framing of this in a strategic way can come together into something meant to be used, cited, and argued with inside boardrooms.
Across strategy, product, and research functions, the most effective leaders are already adjusting to this reality. They are moving away from being neutral providers of information and toward being force multipliers for executive judgment. They are evaluated less on completeness and more on whether their work accelerates decisions, sharpens choices, and changes outcomes.
That shift requires different inputs. Not more dashboards, and not more summaries, but intelligence that is willing to narrow the field, name vulnerabilities, and make tradeoffs visible.
If intelligence work does not create a degree of productive discomfort, it is unlikely to create advantage. Comfort preserves incumbents. Clarity creates movement.
The Skillsoft intelligence brief is just one example. The posture behind it is the point.
Adil Husain is the Founder of The Intelligence Council and Managing Director of Emerging Strategy, where he advises the c-level, strategy, product, and intelligence leaders on turning market signals into competitive posture and real decisions.
His work sits at the intersection of competitive intelligence and strategy, helping decision-support functions move beyond information delivery toward influence, judgment, and structural relevance as AI collapses traditional research models.
Adil is engaged as an advisor and guest speaker by leaders who need to pressure-test competitive strategy, redesign intelligence and research functions, and ensure their teams remain indispensable in high-stakes environments.