Dean McCoubrey
Co-Founder and Chief AI Strategy Officer of Humaine
There is a version of the AI-and-marketing story that is almost entirely about speed. Faster content. Faster campaigns. Faster iteration. And on that measure, AI has delivered. The cost of producing marketing output has fallen sharply, and it will keep falling. McKinsey’s 2026 State of AI report found that 88% of organisations are now using AI in at least one business function. Only 6% are extracting meaningful bottom-line value from it.
That gap is a decision problem.
When production becomes cheaper, the question stops being “can we produce this?” and starts being “is this worth producing, and why?” That shift changes where competitive advantage actually sits. The constraint has moved. Previously, it was production capacity. Now, increasingly, it is judgement: the ability to decide what matters, what to prioritise, what to connect, and what to stop.
AI makes production cheaper. It makes judgement more valuable. And better judgement makes execution compound.
This is the Constraint Shift. Understanding it is the difference between using AI to do more of the same thing faster, and using it to build something that actually grows.
The mistake most teams make: scaling activity before diagnosing the constraint
When growth slows or marketing underperforms, the instinctive response is to do more. More campaigns. More content. More spend. More channels. It is a reasonable instinct in a world where production was the limiting factor. It is an expensive one when the constraint has moved elsewhere.
Adobe’s 2026 Marketing Report found that only 7% of organisations are embedding AI for measurable results, even as two-thirds of marketing teams report a strong or very strong AI impact on their work. Activity is increasing. Measurable outcomes are not keeping pace. The gap between those two things is where most growth problems actually live.
The harder question to ask is whether the issue is execution at all.
| Looks like an execution problem | May actually be a strategy problem |
|---|---|
| Campaigns are not converting | The proposition is unclear or undifferentiated |
| Content is not driving pipeline | The audience targeting is wrong |
| More spend is not improving performance | Investment is not aligned to clear commercial priorities |
| Sales and marketing are misaligned | Commercial priorities were never agreed |
| AI tools are not delivering ROI | The underlying strategy was absent before the tools arrived |
Before commissioning more output, it is worth identifying where the constraint actually sits. Growth commonly breaks down in one of four places: the quality of commercial evidence, the quality of decisions being made from it, the alignment of teams around those decisions, or the execution of the resulting plan. Each requires a different intervention. Treating an evidence problem as an execution problem, or a decision problem as a channel problem, produces more activity without more progress.
AI accelerates this misdiagnosis. When producing content and campaigns is cheaper and faster, the temptation to launch before achieving clarity is stronger. As one Forbes Communications Council contributor put it: “Launching campaigns before defining differentiation just scales an unclear message, which burns budget without improving resonance.”
Why more campaigns do not necessarily create more growth
Campaigns are not the problem. Campaigns without a governing commercial logic are.
A well-executed campaign can create genuine demand. Multiple well-executed campaigns, run without a connecting thread, can still leave an organisation without a coherent growth engine. The assets exist. The activity happened. But it did not compound.
This matters particularly in B2B, where buying is rarely a single event. It involves multiple stakeholders, extended timelines, and decisions made across a combination of channels, conversations, and content touchpoints that no single campaign controls. Forrester’s 2026 Predictions make the point plainly: trust, expert credibility, and consistent buyer experience are increasingly central to B2B commercial performance. Buyers rely more on credible, coherent signals than on polished individual messages.
The structural problem with campaign-led thinking is that it treats growth as a series of bounded bursts rather than a continuous system. Each burst is optimised in isolation. The result is:
- Inconsistent messaging across brand, content, paid media, and sales conversations
- Demand created in one channel that cannot be converted in another
- A buyer experience that feels fragmented, even when individual campaigns are strong
- No cumulative asset being built between campaigns
Deloitte’s commercial model research points in the same direction: future growth depends on integrated customer and commercial models, where functions coordinate rather than operate in sequence. The unit of work is the buyer journey and the revenue system. Not the individual campaign.
Strategy now earns its value through connected judgement
The value of strategy consulting has always been contested. In a world where AI can generate frameworks, summarise research, and produce slide decks at speed, the contestation is sharper. Clients, reasonably, are asking what they are actually paying for.
Strategy earns its value through better decisions, connected through execution.
Strategy can no longer end at the point of recommendation. The loop that creates commercial value looks like this:
- Commercial intelligence informs the picture of where growth is and is not happening
- Judgement interprets that evidence and identifies the real constraint
- Strategy produces choices about where to focus, what to prioritise, and what to stop
- Execution directs those choices across brand, content, spend, sales, and delivery
- Learning feeds back into the evidence base and sharpens the next round of decisions
The advantage comes from keeping that loop connected over time. When it breaks, usually between strategy and execution, or between execution and learning, the organisation ends up with good thinking that does not compound and activity that does not cohere.
A 2025 Medill study on marketing integration made the point directly: integration is a core capability, and reallocating budget alone does not solve structural coordination problems. The issue is rarely resources. It is the absence of a system that connects the decisions being made with the activity being produced.
This is where strategy consulting earns its place in the AI age. Not by producing more output, but by ensuring that the output being produced is the right output, sequenced correctly, and connected to a commercial logic that makes it cumulative rather than episodic.
The organisations getting this right are not necessarily spending more. They are deciding better.
AI increases the premium on judgement, taste, and prioritisation
When AI was expensive and inaccessible, having it was an advantage. Now that it is widely available and increasingly affordable, having it is table stakes. The advantage has moved again – towards the human qualities that determine what AI is asked to serve.
Judgement determines what the evidence means. Taste determines what is worth making distinctive. Prioritisation determines what deserves scarce time, money, and attention. AI can inform all three. Accountability for those choices still sits with people.
According to Duke and Deloitte’s CMO research, AI currently powers 24.2% of marketing activities. That figure is projected to reach 55.9% within three years. As AI takes on more of the production work, the scarcity shifts towards what AI cannot easily replicate: the ability to make the right call, in the right context, with the right commercial understanding behind it.
That is a different kind of competitive advantage. It looks less like a capability and more like a quality of thinking.
| Old advantage | New advantage |
|---|---|
| Ability to produce content at scale | Ability to decide what deserves to be produced |
| Speed of campaign execution | Quality of the commercial logic behind the campaign |
| Access to AI tools | Judgement about how and where to deploy them |
| Volume of marketing activity | Coherence of the growth system behind the activity |
This matters for how organisations evaluate their strategy partners. A partner whose primary advantage is simply producing more, faster, is competing with a capability AI is making increasingly abundant. A partner that improves what gets produced, why, and how it connects to growth is solving the scarcer problem.
As AI spreads faster than strategic oversight, the gap between organisations that are producing more and organisations that are growing more will widen. The difference will not be found in the tools. It will be found in the quality of the decisions those tools are being asked to serve.
What senior leaders should do before asking for more activity
Before commissioning the next campaign, the next content push, or the next AI tool deployment, it is worth pausing on a simpler question: where is the constraint?
The answer shapes everything that follows. A business with weak commercial evidence needs better intelligence before it needs better content. A business with good evidence but poor decision-making needs sharper thinking before it needs more spend. A business with good decisions but poor alignment needs coordination before it needs more channels. A business with all three in reasonable shape may genuinely need better execution.
A useful set of questions to ask before adding activity:
- Is the commercial proposition clear enough that a new campaign would amplify it rather than obscure it?
- Do marketing, sales, and leadership share a consistent view of what growth looks like and where it is coming from?
- Is there a feedback loop between what is being produced and what is actually moving the business?
- Are decisions about where to invest being made from evidence, or from habit and internal pressure?
- Is the current strategy partner helping the organisation decide better, or primarily helping it do more?
If the honest answer to most of those questions is unclear or no, the next intervention is diagnostic, not executional. The right strategy partner will say that plainly, rather than proposing a campaign plan to fill the gap.
More output is not the advantage. Better decisions are.
The Constraint Shift does not make campaigns irrelevant. It makes the thinking behind them more consequential.
When everyone can produce more, the organisations that grow are the ones that have decided more clearly: what they are building, who it is for, what it needs to do commercially, and how each part of the system connects to the next. That clarity does not come from instinct alone. It is a commercial discipline. And it requires the kind of judgement that neither AI tools nor campaign agencies are primarily designed to provide.
Strategy consulting earns its value in the AI age when it starts with diagnosis, builds from evidence, and stays connected through execution – a governing commercial logic that makes the organisation’s activity cumulative rather than episodic.
The question worth asking is whether the marketing you have is being directed by decisions good enough to make it compound.
Find out what is actually constraining your growth.
Book a Humaine strategy session to diagnose whether the issue is evidence, decision-making, alignment, or execution, before adding more activity to the system.
Frequently asked questions
What is the Constraint Shift in marketing?
The Constraint Shift is the move from production being the main bottleneck to judgement becoming the scarce advantage. When AI makes output cheaper, the real value sits in deciding what deserves to be produced, why it matters, and how it connects to growth.
Why does AI make strategy more valuable?
AI reduces the cost of content, campaigns, and routine production. That makes strategic judgement more valuable because organisations now need clearer decisions about what to prioritise, what to stop, and how to connect execution to commercial outcomes.
Is this article arguing against campaigns?
No. Campaigns still matter. The argument is that campaigns without a governing commercial logic do not compound. Growth comes from connected decisions, not isolated bursts of activity.
What should a senior leader do before adding more marketing activity?
Diagnose where the constraint actually sits. The issue may be evidence, decision-making, alignment, or execution. Adding more campaigns before identifying that constraint usually increases activity without improving results.
How does this relate to Humaine’s approach?
Humaine treats strategy as a commercial intelligence problem. The focus is on better judgement, clearer decisions, and connected execution so activity becomes cumulative rather than fragmented.