Chapter 1: Industry Shockwave
When DeepSeek launched its low-cost, open-source AI model, the tech industry was shaken. This new company employed two major strategies:

Price: one-tenth of the industry leader's
Completely open-source technology code
This strategy attracted many developers, like a new brand with a high price-performance ratio in the phone market, putting pressure on OpenAI, the industry leader.

Chapter 2: OpenAI's Counterattack Strategy
To respond to the challenge, OpenAI's CEO announced three important decisions:

Launch an upgraded GPT-4.5
Integrate all AI models
Offer the latest GPT-5 for free to all users
This free strategy seems generous but has hidden risks:

If the free version is too weak, it won't attract users
If the free version is too strong, the paid version will lose value
Technical advantages may be copied by competitors

Chapter 3: Strategic Problem Analysis
As an industry pioneer, OpenAI should have been more prepared for competition, but now it faces three major problems:

Problem 1: Technical advantages haven't been converted into commercial barriers
Although it has top-notch AI models:

Application store ecosystem development is lagging
Developer support tools are incomplete
Enterprise customization services are slow
Problem 2: Hardware cooperation progress is slow
When competitors collaborate with phone manufacturers to develop intelligent features:

Practical functions like real-time translation and health monitoring keep emerging
OpenAI's video recognition technology is still in the lab stage
Problem 3: Business model is uncertain
The free strategy leads to a double dilemma:

Ordinary users can't perceive the advantages of the paid version
Enterprise clients worry about service quality decline
Developers lack motivation to continue investing

Chapter 4: Breakthrough Direction Suggestions
To turn the situation around, OpenAI needs to focus on three strategic priorities:

Priority 1: Build an AI application ecosystem
Learn from successful app stores:

Lower developer revenue share
Establish an app recommendation mechanism
Develop exclusive functionality tools
Priority 2: Accelerate multi-scenario technology implementation
Focus on breaking through three major application areas:

Medical diagnosis assistance systems
Industrial production optimization schemes
Smartphone deep integration
Priority 3: Cultivate a developer community
Establish a complete support system:

Provide online teaching platforms
Open testing environments
Set up innovation funds

Chapter 5: Future Competition Key
The deciding factor will no longer be simple technical parameters, but:

Key 1: Ecosystem completeness

Developer community activity level
Industry solution richness
Hardware device compatibility number
Key 2: User experience friendliness

Response speed control within 3 seconds
Monthly usage cost below 50 yuan
Ability to solve real-life problems
Key 3: Sustainable development ability

Effective control of operating costs
Establish data security protection
Comply with national regulatory requirements

Advice for Ordinary Users
In this AI competition, we can:

Pay attention to open-source technology learning opportunities
Watch for emerging career development directions
Choose tools based on actual needs