Why Are Platform Businesses Like Uber
and Airbnb Dominating the Global
Economy?

Why Are Platform Businesses Like Uber and Airbnb Dominating the Global Economy?

PART I: Introduction: The New Economic Superpower – Platforms

What do Uber, Airbnb, Alibaba, and Amazon have in common? None of them own the key assets traditionally required for their industries. Uber doesn’t own a fleet of cars, Airbnb doesn’t own hotels, Alibaba doesn’t own inventory, and Amazon’s marketplace dominates without producing most of its own products. Yet, they are among the most valuable businesses in the world, reshaping global industries at an unprecedented scale.

This shift marks the rise of platform businesses, a model that has overtaken traditional pipeline businesses that focus on linear production and supply chains. Unlike traditional companies that create and sell products or services, platform businesses facilitate interactions and transactions between users, creating an ecosystem where value is generated collectively. This fundamental difference allows them to scale exponentially, reduce operational costs, and leverage network effects that reinforce their market dominance.

The economic power of platforms is staggering. According to research from the MIT Initiative on the Digital Economy, 7 of the 10 most valuable companies in the world are platform businesses. The combined valuation of the top five platform companies (Amazon, Apple, Google, Microsoft, and Meta) exceeds $10 trillion. Meanwhile, pipeline-based businesses struggle with diminishing returns, higher capital expenditures, and competitive pressures from platform disruptors.

Why Should CEOs Care?

The rapid platformization of industries means that businesses competing in traditional linear models are at risk of being disrupted—or outright replaced—by platform-driven challengers. The key takeaway? Platform businesses aren’t just another business trend; they are the dominant economic model of the 21st century.

In tis article, I will deconstruct the power of platform businesses, explore their core principles, highlight why they outperform traditional models, and analyze real-world case studies from Uber and Alibaba to showcase how platforms scale, self-reinforce, and dominate entire industries. Finally, I will provide strategic takeaways along with a structured, step-by-step blueprint (framework) to help you - the CEOs / Business Owners / Corporate Leaders / Entrepreneurs leverage platform strategies in your own industries.

PART II: Understanding Platform Businesses: The Engine Behind the Digital Economy

What Is a Platform Business?

Allow me to now elaborate on the fundamentals of the platform businesses where I'll elaborate what is a platform business, the key characteristics of platform businesses, and how these platform businesses are disrupting traditional markets.

A platform business is a company that creates a digital or physical space where producers and consumers interact, transact, and co-create value. Unlike traditional pipeline businesses, which follow a linear value chain (supplier → manufacturer → distributor → consumer), platform businesses orchestrate ecosystems, allowing participants to engage in value exchange with minimal intervention from the platform owner.

  • Pipeline Business Model Example: Ford produces cars → Sells them through dealerships → Customers buy the final product.
  • Platform Business Model Example: Uber connects drivers and riders, creating a marketplace without owning a single car.

Key Characteristics of Platform Businesses

  1. Network Effects: The More Users, The More Valuable the Platform Becomes:

  • Unlike traditional businesses where costs rise with scale, platform businesses thrive on network effects, meaning that each new participant increases the overall value of the platform.
  • Example: The more drivers Uber has, the more attractive it becomes for riders. The more riders it has, the more drivers join. This self-reinforcing cycle leads to exponential growth.

2. Asset-Light Model: Low Capital, High Scalability

  • Traditional businesses require heavy investments in infrastructure and assets. In contrast, platform businesses own very few assets but leverage existing ones owned by users to generate transactions.
  • Example: Airbnb doesn’t own any hotels or properties but has more listings than the world’s largest hotel chains combined.

3. Data-Driven Decision Making: Continuous Optimization Through AI & Analytics

  • Platforms thrive on data analytics, machine learning, and AI, allowing them to predict demand, personalize user experiences, and optimize pricing dynamically.
  • Example: Netflix’s recommendation engine, powered by AI-driven data analysis, generates over 80% of the content people watch, increasing retention and engagement.

4. Monetization Through Multiple Revenue Streams

  • Instead of relying on a single revenue model (e.g., selling a product), platforms generate income through commissions, subscriptions, advertisements, and data monetization.
  • Example: Amazon makes money from its marketplace commissions, cloud computing (AWS), Prime subscriptions, and advertising services.

5. Self-Sustaining Ecosystem: Users Create Value

  • Traditional businesses produce and distribute products; in contrast, platform businesses facilitate interactions and allow users to create value.
  • Example: YouTube doesn’t create its own videos—the users do. TikTok, Facebook, and Instagram operate on the same model.

Key Characteristics of Platform Businesses

Why Are Platform Businesses Disrupting Traditional Markets?

Speed to Scale:

  • Platforms grow exponentially because user participation drives further growth.
  • Example: Instagram gained its first 100 million users in two years, while Kodak took 60 years to reach the same scale.

Lower Cost Structure & High Profitability

  • Platform businesses require less infrastructure and generate higher margins compared to traditional product-based companies.
  • Example: Facebook generates billions in revenue but produces no content of its own.

Increased Agility and Adaptability

  • Platforms pivot faster because they don’t own fixed infrastructure and can adapt to user behavior shifts.
  • Example: Airbnb pivoted from vacation rentals to long-term stays during the pandemic, ensuring continued growth.

Data-Driven Personalization at Scale

  • Platforms collect and analyze massive amounts of user data, creating highly personalized user experiences.
  • Example: Amazon’s product recommendations drive 35% of its sales.

Monopoly-Like Market Control

  • Platforms tend to dominate their industries, making it difficult for smaller competitors to challenge their ecosystems.
  • Example: Google controls over 92% of the global search engine market.

PART III: Case Studies - How Uber and Alibaba Mastered Platform Dominance

What good are theories without real-world business cases / case studies? So, allow me to present two of the top platform businesses that have disrupted their respective industries - Uber & Alibaba.

Case Study 1: Uber – The Reinvention of Transportation

Problem: A Broken Taxi Industry and an Unmet Consumer Need

Before Uber’s arrival, the traditional taxi industry suffered from inefficiency, high costs, poor service, and lack of availability. In major cities, hailing a cab was unpredictable, leading to long wait times and price inconsistency. On the driver’s side, taxi licensing was heavily regulated, limiting opportunities for new entrants and keeping fares artificially high.

Despite rising urbanization and increased transportation needs, the system remained outdated and resistant to change. There was no direct link between demand (passengers) and supply (drivers), leading to inefficiencies that frustrated both parties.

Action: Uber’s Platform-Driven Disruption

Uber introduced a two-sided platform that connected riders with drivers through a simple mobile app. This model completely disrupted the traditional taxi business by introducing:

  • On-Demand Matching: Passengers could request rides instantly, eliminating the uncertainty of finding a taxi.
  • Dynamic Pricing (Surge Pricing): Prices adjusted based on demand, ensuring drivers were always incentivized.
  • Rating System: Both drivers and passengers could rate each other, improving service quality.
  • Flexible Work Model: Unlike traditional taxi medallions, Uber allowed anyone with a car to become a driver, significantly increasing supply.

The network effect quickly took hold—the more drivers joined Uber, the shorter wait times became, attracting more riders, which in turn attracted more drivers. This self-reinforcing cycle enabled rapid global expansion.

Result: Market Dominance and a $90 Billion Valuation

Today, Uber operates in more than 10,000 cities worldwide, completing 19 million trips per day. The company is valued at nearly $90 billion and has expanded into food delivery (Uber Eats), freight (Uber Freight), and autonomous vehicles.

Key Takeaways from Uber’s Success:

  1. Leverage Network Effects: Growth accelerated as each new user increased the platform’s value.
  2. Asset-Light Scalability: Uber became a dominant transport provider without owning a single car.
  3. Data-Driven Personalization: Uber optimizes pricing, routes, and demand-supply balancing in real-time using AI.
  4. Market Expansion Strategy: Uber started with a narrow focus (black cars for executives) before expanding to mass-market ridesharing globally.

However, Uber’s dominance did not come without challenges—legal battles, driver protests, and regulatory resistance have emerged worldwide. Nonetheless, Uber’s platform model proved resilient, showing how platforms disrupt traditional industries and scale at a pace unmatched by pipeline businesses.

Case Study 2: Alibaba – The Platform That Revolutionized E-Commerce in China

Problem: Fragmented E-Commerce and Lack of Trust in Online Transactions

In the early 2000s, China’s e-commerce market was fragmented, unregulated, and untrustworthy. There was no dominant online retail player, and consumers lacked confidence in digital transactions due to concerns about fraud. Meanwhile, small businesses struggled with limited access to digital tools and financial services, preventing them from scaling efficiently.

Despite China’s booming internet penetration, e-commerce remained underdeveloped, and foreign players like eBay struggled to gain traction due to cultural and logistical challenges.

Action: Alibaba’s Platform-Based Ecosystem Approach

Rather than simply building a B2C e-commerce store like Amazon, Alibaba created multiple interconnected platforms, forming an ecosystem of services that enabled small businesses to scale.

  1. Taobao (C2C Marketplace): A free-to-use platform that connected buyers with small sellers, similar to eBay but without listing fees.
  2. Tmall (B2C Marketplace): A premium marketplace for larger brands looking to reach Chinese consumers.
  3. Alipay (Payment Infrastructure): A secure digital payment system that ensured trust between buyers and sellers, solving the trust issue in online transactions.
  4. Alibaba Cloud & Logistics Services: Infrastructure to support small businesses in scaling their operations, creating a self-sustaining ecosystem.

Alibaba focused on removing barriers for sellers while making transactions seamless and secure for buyers, reinforcing trust in online commerce.

Result: The Largest E-Commerce Platform in the World

Today, Alibaba’s marketplace processes $1.2 trillion in transactions annually, making it the largest e-commerce platform globally. The company has expanded beyond e-commerce, dominating cloud computing, AI, and logistics.

Key Takeaways from Alibaba’s Success:

  1. Building an Ecosystem: Alibaba didn’t just create a marketplace—it developed financial, logistical, and technological support systems to fuel growth.
  2. Solving a Market Gap: Addressing trust issues in digital payments helped unlock China’s e-commerce explosion.
  3. Multiple Revenue Streams: Instead of relying solely on transactions, Alibaba monetized advertising, cloud services, and financial products.
  4. Platform Thinking: Unlike Amazon, which operates as a hybrid marketplace and retailer, Alibaba remained asset-light and focused on enabling third-party sellers.

Alibaba’s success demonstrates how platform businesses can reshape entire industries by removing friction points, leveraging data, and creating self-sustaining ecosystems.

PART IV: A Wholistic View - How Today’s Businesses Use Platform Thinking to Disrupt Industries

Are Uber & Alibaba the only two platform businesses? Are e-commerce and transportation the only two industries? Let's have a quick look at how platform businesses are disrupting almost all industries and domains all across the globe by removing inefficiencies, enabling direct interactions, and leveraging network effects. Sectors like finance, healthcare, education, travel, and manufacturing are now being disrupted by platforms that reshape how businesses operate and consumers engage.

Below, I have curated a few cases to explain how modern businesses across various industries have embraced platform models to drive innovation, efficiency, and scale.

1. Finance: FinTech Platforms Redefining Banking

Traditional banking relied on physical branches, centralized institutions, and rigid regulations that slowed down financial transactions. Platform businesses have decentralized financial services, creating faster, cheaper, and more accessible financial ecosystems.

Example: Ant Financial (Alipay) - The Largest FinTech Platform in the World

  • How It Works: Alipay, launched by Alibaba, created a financial super-app where users can pay, invest, borrow, and save—all within a single ecosystem.
  • Key Disruption: Unlike traditional banks, Alipay does not require a physical presence and operates at significantly lower costs. Its platform connects millions of merchants and billions of users, enabling seamless transactions.
  • Impact: Ant Financial processes $17 trillion in payments annually, making it larger than Visa and Mastercard combined in China.

Other Notable FinTech Platforms

  • Stripe: Provides an API-driven payments platform that allows businesses to integrate transactions without relying on legacy banks.
  • Plaid: Acts as a data-exchange platform, enabling seamless connectivity between financial applications.

? Key Takeaway: Finance is shifting from institution-driven services to platform-driven, decentralized models, increasing efficiency and accessibility.

2. Healthcare: The Rise of Digital Health Platforms

The traditional healthcare system is fragmented, slow, and geographically constrained. Medical professionals, patients, insurers, and pharmaceutical companies often operate in separate silos, leading to higher costs and inefficiencies.

Example: Teladoc Health - The Platform for Virtual Care

  • How It Works: Teladoc connects patients with doctors, therapists, and specialists via video consultations, eliminating the need for in-person visits.
  • Key Disruption: Traditional healthcare operates on a clinic-first model, while Teladoc removes physical barriers, expanding healthcare access.
  • Impact: Teladoc handled over 15 million virtual consultations in 2023, reducing hospital congestion and medical costs.

Other Notable Healthcare Platforms

  • Doximity: A LinkedIn-style platform for doctors, allowing them to consult, collaborate, and share insights.
  • GoodRx: A price-comparison platform for prescription medications, helping consumers find the most affordable drugs.

? Key Takeaway: Healthcare platforms eliminate inefficiencies by digitizing consultations, reducing costs, and making healthcare more accessible.

3. Education: The Shift to Online Learning Ecosystems

The traditional education system is rigid, expensive, and location-dependent. Universities and training institutions operate in closed systems, limiting access to knowledge and learning opportunities.

Example: Coursera - The Global Learning Platform

  • How It Works: Coursera partners with top universities and companies to offer affordable, flexible online courses and certifications.
  • Key Disruption: Unlike traditional education, which requires physical attendance, Coursera makes high-quality education accessible globally.
  • Impact: Over 120 million students have enrolled in Coursera courses, expanding access to education worldwide.

Other Notable Education Platforms

  • Udemy: A marketplace where experts create and sell courses on various topics.
  • Duolingo: A gamified language-learning platform with over 500 million users worldwide.

? Key Takeaway: Education platforms are democratizing knowledge, allowing self-paced, affordable, and global learning opportunities.

4. Travel & Hospitality: The Airbnb Effect

The travel industry was once dominated by hotels, travel agencies, and centralized booking systems. Platforms have revolutionized the industry by creating peer-to-peer accommodation, direct bookings, and experience-based travel options.

Example: Airbnb - The Platform That Redefined Hospitality

  • How It Works: Airbnb allows individual property owners to rent out their spaces to travelers, creating a shared economy that bypasses traditional hotel chains.
  • Key Disruption: Unlike hotels, which own real estate and have high overhead costs, Airbnb operates without owning any properties.
  • Impact: Airbnb now has over 6 million listings in 220+ countries, surpassing the world’s largest hotel chains in total available rooms.

Other Notable Travel & Hospitality Platforms

  • Booking.com: A leading online travel marketplace connecting travelers directly with hotels and vacation rentals.
  • Expedia: Aggregates travel options, providing a seamless booking experience for flights, hotels, and car rentals.

? Key Takeaway: Travel platforms reduce costs, increase choice, and create frictionless travel experiences for consumers.

5. Manufacturing & Supply Chain: The Rise of Industrial Platforms

Manufacturing has historically been capital-intensive, requiring large-scale production facilities and complex supply chains. Platforms are now digitizing and optimizing production and logistics, reducing waste and increasing efficiency.

Example: Flexport - The Digital Supply Chain Platform

  • How It Works: Flexport digitizes freight forwarding, making global supply chains more transparent, efficient, and cost-effective.
  • Key Disruption: Unlike traditional logistics companies, which rely on manual tracking, Flexport’s platform integrates real-time AI-driven logistics insights.
  • Impact: Flexport has optimized over $19 billion worth of global trade, reducing shipping delays and improving cost efficiency.

Other Notable Supply Chain Platforms

  • Alibaba’s Cainiao: A logistics platform that integrates AI and data to optimize supply chain efficiency for e-commerce.
  • TradeLens (by Maersk & IBM): A blockchain-powered supply chain platform that enhances global trade transparency.

?Key Takeaway: Industrial platforms remove inefficiencies from global supply chains, making logistics more predictable, transparent, and cost-efficient.

Strategic Takeaways for Business Leaders:

Platform businesses are not just disrupting industries—they are reshaping how value is created, distributed, and monetized. From Uber to Airbnb, Ant Financial to Flexport, these businesses have mastered network effects, data-driven ecosystems, and scalable operations to dominate their markets. The question is: how can your business leverage platform thinking to achieve exponential growth?

In this section, I will outline the key takeaways from this article and provide a step-by-step checklist for leaders looking to integrate platform strategies into their organizations.

1?? The Future Belongs to Ecosystems, Not Just Products

  • Traditional pipeline businesses focus on producing and selling products/services, whereas platforms create value by enabling interactions between producers and consumers.
  • Example: Uber doesn’t own cars, Airbnb doesn’t own hotels, yet they dominate their respective industries because they connect supply with demand efficiently.

2?? Network Effects Drive Exponential Growth

  • Platforms become stronger as more users join, creating self-reinforcing network effects that lead to winner-take-all dynamics.
  • Example: Facebook’s strength lies in its user network, making it almost impossible for competitors to replace.

3?? Asset-Light Models Enable Faster Scaling

  • Unlike traditional businesses that require large infrastructure investments, platforms scale rapidly because they own the network, not the assets.
  • Example: Alibaba became the world’s largest e-commerce platform without holding inventory, instead focusing on connecting buyers and sellers.

4?? Data is the Competitive Advantage

  • Platforms thrive on data-driven insights, optimizing user engagement, pricing, and recommendations.
  • Example: Netflix personalizes content recommendations based on viewing habits, increasing retention and customer satisfaction.

5?? User Trust and Experience Are Core to Success

  • The biggest platform failures often result from a lack of trust—whether it’s weak security, poor customer experiences, or unethical practices.
  • Example: Airbnb succeeded because it built a review-based trust system, reassuring both hosts and guests.

6?? Monetization Must Be Thoughtful and Strategic

  • The most successful platforms experiment with multiple revenue models—subscription fees, transaction commissions, advertising, and premium memberships.
  • Example: Amazon Marketplace charges sellers commission, while also earning from AWS cloud services, creating multiple revenue streams.

7?? Regulation and Compliance Can Make or Break a Platform

  • Governments worldwide are tightening platform regulations, requiring businesses to adapt quickly to avoid legal and reputational risks.
  • Example: Uber faced regulatory challenges in multiple countries but adapted its strategy by partnering with governments and negotiating fair regulations.

?Bottom Line: The success of platform businesses is not accidental—it’s a result of deliberate strategy, execution, and adaptability. The next section provides a practical checklist for leaders ready to build or transition to a platform business model.

PART V: The SCALE Framework?: A Blueprint For Building a Platform Business

Now, after describing all the benefits of a platform business and enticing you with case studies from all different industries from all across the planet, what good will I be if I do not provide you with a solid blueprint with step-by-step instructions on how you can create a platform business from scratch?

So, presenting to you, my very own SCALE Framework? which is specifically designed to help CEOs / business owners / corporate leaders / entrepreneurs, internalize and implement the principles of platform thinking.

SCALE stands for:

  1. Structure the Core Interaction
  2. Create Value Through Network Effects
  3. Activate a Sustainable Monetization Model
  4. Leverage Data for Growth and Retention
  5. Evolve with Innovation and Market Changes

Each step captures the essential actions required to launch, scale, and sustain a successful platform business. Below, we break down each component of the SCALE Framework? while ensuring all insights, questions, and action items from the previous section remain intact.

1?? S - Structure the Core Interaction

What this means: Every platform must be built around a core interaction—the fundamental exchange of value between two or more user groups. This defines who the participants are and what makes them return.

? Actionable Questions:

  • Who are your key users (suppliers, buyers, partners)?
  • What is the value exchange that happens between them?
  • How will you simplify and enhance interactions (UX, trust mechanisms, algorithms)?
  • What will make users come back and engage repeatedly?

?? Example: Uber’s core interaction is riders connecting with drivers in real-time. Airbnb enables travelers to book homes directly from hosts.

? Take Action: ?? Sketch out the core interaction that your platform will facilitate. ?? Identify what friction exists today and how your platform removes it.

2?? C - Create Value Through Network Effects

What this means: A platform becomes stronger as more users join—this is called the network effect, where every additional participant increases value for others.

? Actionable Questions:

  • How will you attract your first users (incentives, subsidies, partnerships)?
  • How will you keep early users engaged while scaling?
  • Can you use AI, personalization, and smart recommendations to increase engagement?
  • How will you maintain trust and security as the platform grows?

?? Example: PayPal initially grew by offering referral bonuses, making it the preferred payment method for eBay. Facebook’s strength comes from its expanding social network—the more users, the higher its utility.

? Take Action: ?? Identify one way to kickstart network effects in your business. ?? Determine how your platform can increase value as more users join.

3?? A - Activate a Sustainable Monetization Model

What this means: Unlike traditional businesses, platforms require thoughtful monetization strategies that don’t disrupt user experience.

? Actionable Questions:

  • Will your platform charge transaction fees, subscriptions, ads, or freemium models?
  • Is your revenue model aligned with user experience (not too intrusive)?
  • Can your monetization strategy scale with the platform’s growth?
  • Will users feel they are getting more value than they are paying for?

?? Example: LinkedIn monetizes through premium memberships, job postings, and advertising, creating a diversified revenue stream.

? Take Action: ?? Identify your primary revenue streams and how they scale with user growth. ?? Test different pricing or commission models without harming user engagement.

4?? L - Leverage Data for Growth and Retention

What this means: Data is the backbone of platform businesses. Platforms that effectively use data insights to optimize interactions, improve personalization, and boost retention dominate their industries.

? Actionable Questions:

  • What data will your platform collect, and how will it be used to enhance user experience?
  • Can you predict user needs based on past behavior?
  • How will you use AI, automation, or analytics to improve engagement?
  • How will you ensure data security and trust while leveraging insights?

?? Example: Netflix personalizes recommendations based on viewing habits, increasing retention. Amazon optimizes pricing, product suggestions, and supply chain decisions using its data-driven model.

? Take Action: ?? Identify one way data can be used to enhance user experience. ?? Create a plan for how to use customer insights to increase engagement and revenue.

5?? E - Evolve with Innovation and Market Changes

What this means: The biggest platform businesses don’t just launch and stop—they continuously adapt, expand, and innovate to stay ahead.

? Actionable Questions:

  • How will your platform expand into new services or industries?
  • How do you leverage AI, blockchain, or automation to stay competitive?
  • Are you prepared for competition, regulation changes, and market shifts?
  • How will you continue adding value as market dynamics evolve?
  • Example: Amazon expanded beyond e-commerce into AWS cloud computing, Prime Video, and Alexa, turning itself into an ecosystem rather than just an online retailer.

The SCALE Framework? A Blueprint To Build a Platform Business

? Take Action: ?? Develop a 3-year roadmap that outlines future innovations and expansions. ?? Identify one emerging technology or trend your platform can integrate.

?? The SCALE Framework? in Action - Bringing it All Together

PART VI: Conclusion: The Final Challenge:

  • Take 15 minutes to assess where your business currently stands on the SCALE framework?.
  • Identify one priority action step for each letter in SCALE.
  • Draft a roadmap for implementing at least one strategy from each step within the next 90 days.

I believe, The SCALE Framework? provides a practical roadmap for entrepreneurs, corporate leaders, and strategists looking to build and scale platform businesses successfully. Whether you're launching a new platform startup or transitioning an existing business into a platform model, this approach ensures long-term sustainability, innovation, and competitive advantage. Conclusion - the future belongs to platforms - are you ready?

The dominance of platform businesses like Uber, Airbnb, and Alibaba is not a coincidence—it’s a strategic evolution. These companies have mastered the art of creating ecosystems where value multiplies with every interaction, outperforming traditional pipeline businesses that rely on linear production and distribution. The SCALE framework provides a clear, actionable roadmap for entrepreneurs and business leaders to structure, grow, monetize, and future-proof their platform ventures.

However, understanding platform economics is not enough—execution is key. Businesses that fail to embrace platform thinking will struggle to compete in an economy increasingly shaped by network effects, data intelligence, and digital marketplaces. Whether you’re launching a new startup or transforming an established business, the ability to build and scale a platform effectively will be a defining factor in long-term success.

?? Call to Action: Take the First Step Today!

? Reflect: Take a moment to assess your current business model—are you operating as a traditional pipeline business or leveraging platform strategies?

? Apply: Use the SCALE framework to map out a 90-day action plan for integrating platform thinking into your company.

? Engage: Discuss this with your leadership team—what aspects of platform businesses resonate most with your industry?

?Innovate: Explore how network effects, data intelligence, and digital ecosystems could redefine your company’s growth trajectory.


Anand Iyer

Empowering Professionals to Unlock AI R.I.C.H.E.S and Secure Financial Freedom| AI Consultant, Mentor & Coach|

1 周

Absolutely fascinating insights! The evolution of platform businesses is transforming entire industries. I’m especially intrigued by how network effects amplify growth. Excited to see how companies will implement the SCALE framework for sustainable success! ?? What's the next step for traditional businesses to adapt?

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