👥 Featuring:
Host: Alex (The Strategy Stack)
Opening & Setup (Part 1 — Digital Business Models in 2025)
Alex introduces a new series on digital business models for 2025. Unlike the previous series on the Agentic Operating Model (AOM), this focuses on how modern businesses design, operate, and evolve their business models in real time.
This session reframes the concept of a business model — not as a static plan or revenue model, but as a living architecture that continuously evolves through interaction with customers, technology, and markets.
Context:
This is the first episode of a six-part series and builds on Alex’s written publication of 40 articles about digital business models.
Why Static Models Fail
Traditional tools like the business model canvas (introduced in 2010) remain useful snapshots but cannot keep up with the rapid pace of change in 2025.
Static models fail because:
Dynamic systems: Digital firms now operate in fast-changing environments influenced by AI, ecosystems, and real-time data.
Market volatility: Shocks happen quarterly, and user expectations shift weekly.
Tool evolution: Tools like AI don’t behave as point solutions anymore but evolve into interconnected ecosystems.
Vendor lock-in: Heavy dependence on infrastructure providers or distribution platforms creates fragility.
Analogy: Competing with a static business model today is like navigating a storm with a paper map while competitors use a live GPS.
Bottom line:
If your business model can’t evolve in real time, your company is at risk.
The Five-Layer Stack
Modern digital business models function like interconnected neural networks, not linear hierarchies.
Alex identifies five key layers:
Infrastructure (Foundation)
Physical and digital hardware, devices, and logistics enabling the business.
Intelligence (Engine)
Data, algorithms, AI, and learning systems powering decision-making.
Distribution (Value Flow)
Channels through which value moves to and from customers.
Interface (Touchpoints)
Where customers interact, shaping trust and behavior.
Monetization Logic (Economic Engine)
The mechanisms of capturing and growing value.
Example — Netflix:
User interface data feeds intelligence, which reshapes monetization in real time, influencing distribution and infrastructure in a continuous loop.
Why This Matters in 2025
Market shocks occur quarterly or faster.
Distribution norms can collapse overnight.
User expectations evolve on a weekly basis.
AI accelerates change, making centralized, static planning obsolete.
Modern companies must operate in recursive, self-updating systems.
The Evolution of Business Models
Business models have evolved through three major phases over the past 120 years:
Phase 1 — Asset Heavy (Industrial Logic)
Timeline: 1900s–1980s
Focus: Ownership and centralization.
Example: Ford owned everything from steel mills to dealerships.
Upside: Total control and high barriers to entry.
Downside: Slow to adapt, high fixed costs.
Phase 2 — Asset Light (Digital First)
Timeline: 1990s–2010s
Focus: Own the demand, not the production.
Examples:
Nike designs shoes but outsources manufacturing.
Apple designs products but relies on Foxconn to build them.
Booking.com owns no hotels but dominates travel distribution.
Upside: Faster scaling, lower capital requirements.
Downside: Dependence on partners and risks to quality control.
Phase 3 — Asset Optional (Ecosystem Orchestration)
Timeline: 2015–Present
Focus: Orchestration of dynamic ecosystems.
Examples:
Airbnb orchestrates without owning real estate.
Amazon blends owned logistics with third-party marketplaces.
OpenAI embeds its AI into thousands of products via APIs.
Key Idea: Ownership becomes optional; orchestration becomes strategic power.
Control Points: Where Strategy Lives
Not all layers are equal.
Strategy lives in the scarcest layer, which varies by company and industry.
Apple: Controls distribution.
Netflix: Strategy rooted in intelligence.
AWS: Dominates infrastructure.
Shopify: Combines distribution and monetization.
Rule of Thumb:
If 30% or more of your revenue depends on one external provider, you face a dependency risk.
Dependencies & Leverage
Dependencies:
SaaS startups reliant on AWS.
Merchants dependent on Shopify’s payment systems.
Developers tied to Apple’s App Store or Google Play.
Leverage Points:
Strategic control over a layer creates defensible power.
Example: TikTok uses its intelligence layer to drive recommendations and engagement.
Flywheels: Compounding Growth
Flywheels are loops that reinforce growth, creating exponential effects.
Example — TikTok:
Acquire users.
Users generate data.
Better recommendations improve retention.
Attract more creators.
Loop restarts with even greater momentum.
Orchestration Costs: The Hidden Tax
Modern enterprises use 130+ SaaS applications, creating complex integration challenges.
Poorly managed orchestration layers create friction and slow down innovation.
Example: Amazon’s AWS pricing wars disrupted entire startup ecosystems.
Case Study — Shopify
LayerShopify’s ExampleInfrastructureHosting, logistics, checkoutIntelligenceAI-powered merchant insightsDistributionTikTok & Facebook partnerships, embedded checkoutsInterfaceStore builder, admin dashboardMonetizationSaaS, payments, lending
Key Insight:
Shopify’s strategy lives in distribution + monetization, with checkout ubiquity as its control point.
Four Reflection Questions
Which layer do you truly control?
Which layer poses the biggest dependency risk?
Where can you create flywheel effects?
How much are orchestration costs slowing you down?
Tip:
If your growth looks like a straight line, you lack a flywheel.
If it’s circular and accelerating, you’re on the right track.
90-Day Action Plan
Weeks 1–4:
Map your five layers and identify dependencies.Weeks 5–8:
Build and test a flywheel for one key use case.Weeks 9–12:
Prepare backup plans and diversification strategies for critical risks.
Key Takeaways
Business models in 2025 are dynamic, recursive systems, not static plans.
Strategy lives in the scarcest layer of the five-layer stack.
Flywheels create compounding growth and resilience.
Vendor lock-in is a critical risk — diversify now.
Each layer must strengthen the others, creating a continuously evolving system.
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➡️ Forward this to a strategy peer who’s feeling the same shift. We’re building a smarter, tech-equipped strategy community—one layer at a time.
Let’s stack it up.
A. Pawlowski | The Strategy Stack
