Chiến lược cạnh tranh đang âm thầm diễn ra giữa các công ty AI - Chúng là gì? | Huskywannafly

Key Concepts

• AI Ownership Shift: Transition from competing on AI model intelligence to owning the "points of interaction" – where humans and businesses engage with AI daily.
• Point of Interaction (POI): The location or entity where user behavior occurs, data is generated, and payment is received (e.g., a pickleball court, a robot).
• Closed-Loop System: A self-reinforcing cycle where AI improves business performance, generating profits that are reinvested into expanding the AI network.
• Thrive Holdings Model: Acquiring profitable, established businesses with outdated technology and integrating AI to optimize operations.
• User Ownership: Controlling the channels through which users interact with AI, rather than solely focusing on model superiority.
• Silicon Users: The concept of robots and autonomous entities as future AI consumers, demanding massive computational resources.
• Omniverse (Nvidia): A simulated environment for developing and training robots, creating a closed ecosystem for AI consumption.

The New AI Race: From Intelligence to Ownership

The competition in the AI landscape is shifting. While initial focus was on building the most intelligent models to attract users, companies like OpenAI, Alphabet, and others are now prioritizing ownership of “points of interaction” (POI) – the places where people and businesses engage with AI daily. This represents a strategic move from simply commercializing AI applications to owning the entities that will be their users, creating a closed-loop system for growth and control. The core idea is that owning the user base, rather than just providing the technology, is the new competitive advantage.

The Pickleball Court Case Study: A Microcosm of the Challenge

The video illustrates this shift through the example of a successful pickleball court owner. Initially thriving due to location and quality, the business now faces increasing complexities:

• New Tax Regulations: Increased scrutiny and the need for professional accounting services, adding costs and administrative burden.
• Increased Competition: The need for marketing and advertising, requiring investment in design, video production, and social media management.
• Economic Downturn: Consumer spending tightening, necessitating promotions and targeting higher-income demographics.

These challenges highlight how traditional business growth can become cumbersome. The traditional solutions – hiring specialists, consulting, or seeking investment – are no longer sufficient in the age of AI.

The Third Option: AI-Powered Restructuring

In the AI era, the third option – seeking investment – has evolved. Instead of simply receiving capital, businesses are now seeking partners who bring a complete operational overhaul powered by AI. This isn’t an upgrade; it’s a fundamental restructuring, akin to a “biological reconstruction” where AI is integrated into every aspect of the business, from invoicing to advertising. This results in an AI-powered entity where decisions are driven by continuous learning and optimization.

OpenAI & Thrive Holdings: A Real-World Example

This strategy is exemplified by OpenAI’s investment in Thrive Holdings in December 2025. This wasn’t a high-profile deal, but a strategic move described by OpenAI as a “restructuring from within.” Thrive Holdings doesn’t operate as a traditional venture capital firm. Instead, it acquires profitable businesses with established positions but outdated technology, then integrates AI to optimize their operations.

• Thrive Holdings’ Focus: Targets companies with revenues ranging from hundreds of millions to billions of dollars, good profit margins, loyal customers, complex but repetitive processes, and low levels of automation. Examples include accounting firms, IT service providers, and BPO (Business Process Outsourcing) companies.
• The Investment Cycle: OpenAI invests in Thrive Holdings, which then invests in businesses and integrates AI. Increased efficiency and profitability generate returns for Thrive Holdings, which are then reinvested into other companies. This creates a closed-loop system where OpenAI benefits from both usage fees and ownership.

Owning the User: A Shift in Competitive Dynamics

This investment represents OpenAI “buying its users.” By owning a stake in businesses that will utilize its AI, OpenAI secures a consistent revenue stream and gains valuable feedback for model improvement. The competition shifts from model quality (which is becoming increasingly commoditized) to control over the distribution channel.

As stated, “When you own the business, you don’t need to try to sell the product or have many meetings to convince them to use AI. All you need to do is make a decision.” – OpenAI’s strategy.

This also provides a defensive layer. Even if businesses choose competing AI models like Gemini or Claude, OpenAI still benefits as a shareholder in the successful enterprise.

Beyond Humans: The Rise of "Silicon Users"

The concept of “users” is expanding beyond humans. Nvidia is pioneering the creation of “silicon users” – robots and autonomous entities – through its Omniverse platform.

• Nvidia’s Omniverse: A physically accurate simulation environment for developing and training robots.
• Closed Ecosystem: Nvidia controls the hardware (chips like Hopper and Blackwell) and software (development platforms like project Groot), creating a closed ecosystem for robot AI consumption.

These robots represent ideal customers – they require massive computational resources, operate continuously, and are entirely dependent on Nvidia’s technology. Nvidia isn’t just selling technology; it’s defining the standards and operating procedures for the robotics industry.

Robotaxi & the Future of Distribution

The Robotaxi industry, exemplified by Tesla and Waymo, further illustrates this trend. Instead of selling self-driving technology to existing taxi companies, these companies are building and operating their own fleets, controlling the entire value chain. This allows them to own the user experience and capture the data necessary to improve their AI models.

• Data-Driven Improvement: Each ride generates data that enhances the AI, leading to a better service and attracting more users.
• Control of the Value Chain: Owning the fleet allows for complete control over the service, infrastructure, and user data.

The AI Paradigm Shift: From Replacement to Redefinition

The video concludes by suggesting that the initial fear of AI replacing humans is becoming outdated. The focus is shifting to how AI will redefine work and the role of humans in an AI-driven economy. As AI becomes the underlying infrastructure of everything, the question isn’t who AI will replace, but what work will remain for humans and how they will adapt.

The core takeaway is that AI companies are not just building intelligent tools; they are building the infrastructure of the future and, in doing so, are fundamentally reshaping the world around us. As stated, “AI is not just serving the world, it is gradually designing the world.”

Conclusion

The AI landscape is undergoing a profound transformation. The race is no longer solely about building the most intelligent models, but about controlling the points of interaction where AI is used. Companies like OpenAI and Nvidia are strategically acquiring or creating these points of interaction, securing their position in the future of AI and redefining the relationship between technology and society. This shift represents a fundamental change in the competitive dynamics of the AI industry, with ownership and control becoming the ultimate drivers of success.