Why CEOs Must Rebuild the Architecture of Growth — Now
For the Davos CEO
The system that built your company is dying. Not declining. Dying.
And most of you don’t see it yet.
For fifty years, we’ve operated growth the same way. We segment markets. We plan campaigns. We buy awareness. We hope for conversion. We call it marketing.
It worked. P&G built $300 billion this way. Coca-Cola conquered the world. Nike created a religion around sneakers.
But that system was never the goal. It was a workaround.
A necessary compromise with constraints we could not overcome.
Today, AI removes those constraints. Structurally. Completely.
What replaces marketing is not “better marketing.” It’s a fundamentally different architecture of growth.
And if you don’t rebuild yours, someone else will intercept your customers and you’ll never get them back.
The Constraint That Built Marketing
Here’s what we actually wanted to do:
Know when a customer needs something. Understand their goal. Respond in that moment with the right offer. See their reaction. Learn immediately. Do this millions of times simultaneously.
That was the dream. It was never achievable.
Why? Humans and organizations could not operate at that scale.
We could not sense demand as it formed. We could not decide in real time. We could not coordinate across functions. We could not learn continuously from every interaction.
So we invented proxies.
- We created segments because we couldn’t understand individuals. “Women 25–45, HHI $75K+” stood in for actual people living actual lives.
- We created campaigns because we couldn’t respond continuously. The fall launch. The Super Bowl spot. Planned months in advance because coordination required it.
- We created annual budgets because learning was slow. Last year’s data informed this year’s strategy. By the time you learned what worked, the world had moved on.
- We created channel silos because integration was impossible. TV built awareness. Digital captured intent. Retail closed sales. Each optimized independently. The customer experienced chaos.
These weren’t failures. They were optimal solutions to real constraints.
But they created the attention economy: an economy built on interruption, inferred demand, and proxies instead of reality.
Marketing became the art of managing abstractions. Reach. Frequency. Impressions. We optimized CTR by 0.3%. We A/B tested button colors. We argued about attribution models.
Growth was linear. Profit was indirect. Causality was fuzzy.
But it was the best we could do.
What Just Changed
AI doesn’t improve this system. It makes it obsolete.
Not partially. Structurally.
Sangeet Paul Choudary wrote in Reshuffle (2025): new technologies collapse core constraints in systems. AI is doing this to marketing right now.
- You can now sense demand as it forms. When someone searches “best running shoes for bad knees,” you know exactly what they need. When they abandon a cart at 11 PM, you know the moment to re-engage.
- You can now act in real time. The offer appears. The discount triggers. The recommendation surfaces. Now. Not next quarter during the next campaign.
- You can now coordinate end-to-end. Pricing adjusts to inventory. Content adapts to behavior. The chatbot knows what the service rep said yesterday. One organism, not twelve warring departments.
- You can now learn continuously. Every interaction teaches the system. Every click, every conversion, every bounce refines the model. Learning compounds while you sleep.
This isn’t about better targeting. Amazon already knows you want something before you do.
It isn’t about better personalization. Spotify knows your mood better than your therapist.
It isn’t about productivity. AI writes copy faster. Nice. Irrelevant.
This is about making the interaction between company and customer operational.
This is the intent economy.
From Proxies to Reality
The implications are not incremental.
- Segments are dead. You don’t sell to “suburban moms 35–54.” You detect that Sarah is training for her first half-marathon, worried about her knees, researching shoes at 10 PM because the kids are finally asleep.
- Campaigns are dead. You don’t decide in January what to promote in October. You respond in real time to what people need right now.
- Funnels are dead. Awareness → consideration → purchase assumed a linear journey. Nobody’s journey is linear. They see an ad, ignore it, hear from a friend, read reviews, forget, see another ad, get distracted, return weeks later. Or don’t.
- Channel silos are dead. TV builds awareness, digital captures intent, retail closes sales — each measured separately, each optimized independently, each demanding budget. The customer experienced it as chaos. AI integrates what you could not.
Marketing stops managing representations of reality. It starts operating on reality itself.
The New Architecture of Growth
In the attention economy, growth started with messaging. You crafted campaigns. You bought media. You interrupted people. You hoped they remembered you later. Growth depended on memory structures. It was probabilistic. Indirect. Slow.
You stimulated demand where none existed. “Just Do It” didn’t respond to demand — it created a movement. It worked. But it required massive investment, patience, faith, and decades.
Efficiency was optimized inside silos. TV got better at reach per dollar. Digital improved cost per click. Nobody optimized the whole system because nobody could see it.
Profit was inferred. You spent $10M on marketing, revenue increased $30M, you assumed causality, hoped the CFO didn’t ask hard questions.
In the intent economy, growth starts with demand.
You detect Sarah searching for running shoes. You appear with the right product, content, offer. You don’t create demand — you capture it as it forms.
Intent triggers action automatically. The product is recommended. The email is sent. The ad appears. The price adjusts. No planning cycle. No approval process. No quarterly campaign wait.
The system coordinates end-to-end. Uber doesn’t have separate teams for “ride awareness” and “ride consideration” and “ride conversion.” You open the app, see cars, book, ride, pay. One system. One experience. One optimization.
Profit is traceable and causal. Amazon knows exactly which recommendation drove which purchase. Google knows which ad generated which revenue. The line from intent to action to profit is direct and measurable.
This is a different architecture, not an upgrade.
It collapses the distance between intent, action, value creation, and economic profit.
How Brands Now Compound
In the attention economy, brands compounded one way: in consumers’ minds. You built memory networks. You created salience. When someone needed cola, they thought Coke. This compounding was real but slow. Years. Decades.
In the intent economy, brands compound two ways.
First, they still compound in minds. Mental availability still matters.
But second — and this is new — brands now compound through attention itself.
Attention is the scarce resource. Not reach. Not impressions. Real, focused, valuable attention from someone who needs what you’re selling right now.
Brands capture attention through a four-part hierarchy:
Relevance: Am I even considered? If you sell running shoes but aren’t relevant to “bad knees,” you don’t exist.
Distinctiveness: Am I recognized? In a sea of options, do I stand out? Distinctiveness gets you noticed. But it doesn’t get you chosen.
Differentiation: Do I have a reason to be chosen? This is where most brands stop. They think differentiation is the pinnacle. It’s not.
Default: Do I even consider alternatives? This is the summit. Default means you’re the reflexive answer. The automatic choice. Google for search. Amazon for shopping. iPhone for smartphones. These brands don’t fight for attention anymore. They own it.
As you climb this hierarchy — relevance to distinctiveness to differentiation to default — each level amplifies the next. It compounds.
This compounding creates exponential growth in economic profit, not linear growth.
In the attention economy, you spent more to get more. Double your budget, maybe double your sales. Linear. Expensive. Exhausting.
In the intent economy, once you reach default status, growth becomes exponential. You capture more intent. You learn faster. You optimize better. You become more default. The flywheel accelerates.
Netflix won streaming not by having the best content but by becoming default. “Netflix and chill” entered the language. That’s default. That’s compounding. That’s exponential profit growth.
Most brands fight at relevance and distinctiveness levels. Very few reach differentiation. Almost none reach default.
But the intent economy makes default achievable for more brands than ever. Because you can now operate on intent directly, in real time, at scale.
The Future Is Already Here
This isn’t theoretical.
Google Gemini and ChatGPT are already implementing this architecture. Today.
ChatGPT has memory. It remembers preferences, conversations, needs. It has shopping research. It has an agentic browser (Atlas) that navigates the web on your behalf. It has Instant Checkout — complete purchases without leaving the conversation.
Google launched AI-powered shopping with Gemini. Virtual shopping agents that find, compare, and help you buy. Conversational. Transactional. One place.
Both use an open standard: Universal Commerce Protocol (UCP). Infrastructure. Like HTTP for commerce.
Search has fundamentally changed. No longer ten blue links. A conversation that becomes a transaction.
You don’t type “best running shoes for bad knees” and click through twelve websites, read reviews, compare prices, bookmark options, return later, forget what you were doing, start over.
You ask: “I need running shoes. Bad knees. Training for first 10K. Budget $150.”
The AI responds: “Based on your knee issues and training goals, I recommend Brooks Adrenaline GTS or ASICS Gel-Kayano. Brooks are $140, ASICS $160. Both have excellent cushioning and stability. Which matters more — lighter weight or maximum support?”
You answer. It refines. Shows options. Checks inventory near you. Finds a discount code. You buy. Done.
You never left the conversation. Never visited a retailer’s website. Never saw a brand’s landing page. Never encountered their conversion funnel.
The entire journey collapsed into a dialogue.
This is not incremental improvement. This is a different system.
What This Means For You
Every brand built for the attention economy just became vulnerable.
If customers never visit your website, what happens to your direct relationship? If they never see your brand story, what happens to your positioning? If they never experience your designed customer journey, what happens to your conversion optimization?
The AI becomes the interface. The AI becomes the recommendation engine. The AI becomes the moment of purchase.
And the AI doesn’t care about your brand guidelines.
It cares about solving the customer’s problem. Right now. In this conversation.
The four-part model matters more than ever:
- Relevance: If you’re not in the AI’s training data, if you’re not connected to UCP, if you’re not accessible through these systems — you don’t exist.
- Distinctiveness: If the AI can’t articulate why you’re different, you’re lumped with alternatives. “Here are five similar options” means you’re a commodity.
- Differentiation: If you lack a clear, compelling reason to be chosen, the AI defaults to price, availability, ratings. You compete on the lowest common denominator.
- Default: If you can’t become the automatic answer — “For your needs, I recommend X” — you’re always fighting for consideration. The AI keeps presenting alternatives.
Brands that reach default status in AI systems will capture exponential value. They’ll be the first recommendation. The trusted answer. The reflexive choice.
Brands that don’t will become invisible.
The Architecture of the Future
The intent economy isn’t coming. It’s here.
Google and OpenAI built the infrastructure. ChatGPT and Gemini are the new front door to commerce. UCP is the plumbing.
This system collapses intent, action, and transaction into one continuous experience.
You express intent through conversation. The system acts immediately. The transaction completes without friction. Learning happens in real time. The next interaction is smarter.
No websites. No funnels. No campaigns. No channel attribution debates.
Just: intent → response → value creation → economic profit.
All happening in seconds. All traceable. All optimizable.
The brands winning won’t have the biggest ad budgets. They’ll understand how to operate within conversational commerce. How to make themselves relevant, distinctive, differentiated, and ultimately default within AI systems.
They’ll stop managing attention and start capturing intent.
Because in a world where AI is the interface, attention is table stakes. Intent is everything.
The Question For CEOs
The old system was not wrong. It was limited.
We managed proxies because we had no choice. We interrupted because we couldn’t detect intent. We ran campaigns because we couldn’t orchestrate continuously. We measured reach because we couldn’t measure impact.
The people who built this system were brilliant. They optimized under constraint. They created enduring brands with limited tools.
Now we have a choice.
AI doesn’t improve marketing inside the attention economy. It makes the intent economy possible.
It doesn’t make campaigns 10% better. It makes campaigns obsolete.
It doesn’t improve segmentation. It makes segments irrelevant.
It doesn’t optimize funnels. It collapses funnels into moments.
This changes not just how we market, but how growth itself works.
The question is no longer: How do we get better at attention?
The question is: How do we build systems that operate on intent?
Because the companies that figure this out won’t just grow faster. They’ll compound. They’ll reach default. They’ll capture exponential profit growth.
And the companies that don’t will keep optimizing proxies while their competitors operate on reality.
What You Must Do
This is not a marketing problem. This is a strategic imperative.
Your CMO cannot solve this alone. This requires:
- Technology transformation. Building systems that sense demand, orchestrate interactions, learn continuously. Real-time decision-making infrastructure.
- Operating model redesign. From campaign cycles to continuous orchestration. From functional silos to integrated systems. From annual planning to real-time response.
- Organizational capability. New skills. New metrics. New ways of working. New conversations between marketing, technology, finance, operations.
- Strategic choices. Which demand spaces to compete in. Which customer intents to capture. Where to reach default status. What to stop doing.
Most companies will try to improve their existing system. They’ll use AI to optimize campaigns. Make better segments. Personalize at scale. Improve efficiency.
They’ll get 10–20% better at a dying model.
Smart companies will rebuild the architecture of growth. They’ll sense intent. Orchestrate interactions. Create value in real moments. Compound through default status.
They’ll achieve exponential growth while competitors optimize linearly.
The constraint that built marketing just disappeared.
The companies that recognize this will define the next era of growth.
The companies that don’t will become case studies in disruption.
The choice is yours.
Welcome to the intent economy.