NVIDIA founder Jensen Huang once famously said: "AI won't replace you, but the person who uses AI will." This statement drove the global adoption of artificial intelligence. Today, however, that phrase represents only a half-truth used to promote tools. In the brutal elimination tournament of business, the true state of play is this: mediocre, cheap AI outputs will be phased out, while "top-tier AI services"—which combine elite domain knowledge with AI leverage—are comprehensively reshaping industry structures.

Since the explosion of generative AI, society as a whole has fallen into a state of profound anxiety. The phrase "you will be eliminated if you don't use AI" has been reiterated a thousand times. Yet, when officials from the Ministry of Digital Affairs pointed out that "knowing how to use ChatGPT does not make one true AI talent," people suddenly woke up—we are standing at the inflection point of AI's second stage of evolution.

The reality is that when anyone can input a prompt and generate a thousand-word article, a presentation outline, or basic code within seconds, "knowing how to use AI" rapidly loses its scarcity. The market has not grown more valuable due to widespread adoption; instead, it has plunged into an unprecedented wave of "mediocrity inflation."

I. Mediocrity Inflation: The Rapid Depreciation of Cheap AI Services

When the marginal cost of production drops close to zero, the market is instantly flooded with identical, seemingly professional yet hollow outputs. This describes the current state of "cheap AI services":


  • Over-reliance on default models: Acting merely as "prompt brokers," generating canned content full of formulas and devoid of tone.
  • Lack of depth and precision: Incapable of delving into industry pain points or solving actual problems rooted in complex business contexts.
  • High potential risks: Lacking the ability to guard against AI hallucinations and information security risks, delivering results that often require costly secondary remediation.

Services and labor of this low tier not only fail to command a premium, but are actively being packaged and replaced by mature automated workflows (AI Agents). Low-end AI services competing on volume and price wars are seeing their market value disappear at a frantic pace.

II. The Pursuit of Quality: The Leverage Effect of Top-Tier AI Services

Concurrently, what is unfolding on the other end is the explosive growth of "top-tier AI services." The term "top-tier AI service" does not refer to using obscure or mysterious tools, but rather to the multiplicative effect of "top-tier domain knowledge + maximum AI leverage." The fundamental differences between the two in the commercial market are obvious:

Cheap AI Services (Model Wrappers / Skins / Novices)



  • Core Positioning: Treats AI merely as a labor tool for "rapid mass production."
  • Technical & Knowledge Threshold: Stays at the level of surface-level prompting.
  • Deliverables: Highly homogeneous, hollow information, carrying risks of errors and hallucinations.
  • Market Competitiveness: Lacks competitive barriers; easily replaced by lower-cost automation.

Top-Tier AI Services (Deep Integration / Experts)



  • Core Positioning: Treats AI as a "leverage" to amplify strategic and professional capabilities.
  • Technical & Knowledge Threshold: Deeply integrates model fine-tuning, RAG technology, and domain knowledge.
  • Deliverables: Solutions with deep insight, commercial moats, and extremely high precision.
  • Market Competitiveness: Commands high premium pricing power to solve core, high-risk enterprise pain points.

What clients and enterprises are willing to pay top dollar for is never "what AI tools you used," but rather "whether you can deliver irreplaceable, top-tier results." Providers of top-tier AI services know how to leverage deep architecture and professional judgment to squeeze the full potential out of AI, achieving precision and productivity that previously required a team of dozens.

III. The Only Solution for Future Talent: Rejecting the Mediocrity Trap at the Bottom of the Hourglass

The implications of this elimination tournament for individuals and enterprises are crystal clear. The talent market is accelerating into an "hourglass shape"—at the top are a few architects and experts capable of integrating AI with core business functions; at the bottom are mass low-cost workers who merely operate interfaces and can be replaced at any time; while the middle layer is being squeezed out rapidly.

Two Core Directions for Standing Out:


  • Deepen Technical Roots Downward: Dig deep into the underlying logic of large language models and machine learning, mastering database integration (RAG), system integration, and cybersecurity defense capabilities.
  • Enhance Domain Knowledge Upward: Become an exceptional "cross-domain translator." Deeply understand the business logic and pain points of specific industries—such as healthcare, finance, manufacturing, or marketing—and accurately guide the evolution of AI.

From "Tool Users" to "High-Value Creators"

Jensen Huang's famous quote marked the inception of the "Tool Era." However, when the barrier to using tools drops to zero, success once again hinges on "the fundamental depth of the human being." Stop being satisfied with the entry-level sense of achievement from saying, "I know how to use ChatGPT to help me write emails or prepare slides."

This is no longer a technical literacy race about "whether you can use tools," but an elimination race about "who can leverage tools to create ultimate quality." Breaking free from the mindset trap of cheap output and reconstructing your services and value with top-tier standards is the only true way to establish a firm foothold in this wave.