# AI-Talent-Inflation

**Repository Path**: ktwu/AI-Talent-Inflation

## Basic Information

- **Project Name**: AI-Talent-Inflation
- **Description**: AI Talent Inflation
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-11-27
- **Last Updated**: 2025-12-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AI-Talent-Inflation

![AI-Talent-Inflation](./AI-Talent-Inflation.png)

The Great AI Divergence is arriving faster than you think.  
If you thought the last 3 years of AI hype were wild, watch what happens when the "10,000-hour" practitioners hit their stride in 2026.  The hockey stick curve is real, and it’s built on the returns of deep focus.  #AI

先放个话：今天可能是AI人才通胀的关键里程碑。
从2022年底ChatGPT诞生至今整三年。算笔账：365天×3年×11小时卷王模式 ≈ 10,000小时定律达成。
这意味着第一批“All in AI”的信徒此刻已熬成顶尖专家。未来大牛遍地走，AI门槛正在疯狂通胀，门内和门外的差距将越来越大。

The "democratization of AI" via tools like ChatGPT/Gemini is misleading. We aren't seeing a leveling of the playing field; we are about to witness the greatest divergence in professional expertise in modern history.
I created this figure, "AI Talent Inflation," to visualize the reality of compounding knowledge in artificial intelligence.
While "Outsiders" dabble with prompts and surface-level tools, the "All-in Experts" have been compounding their knowledge daily since the 2022 previews.
The critical insight here is the inflection point we are approaching right now (late 2025/early 2026). This isn't magic; it's math. It’s the realization of the "10,000-Hour Rule" (approx. 3 years of grueling, 11-hour days of focused study and application).
Once that foundation is built, the growth becomes exponential. The gap between the competent and the expert is about to become unbridgeable for those trying to catch up later.
Are you putting in the hours to be on the blue line, or are you coasting on the orange one?

Figure made by me with Nano Banana Pro on Gemini 3 Pro. Prompt is:
```
Draw an image: a line graph titled "AI Talent Inflation." It illustrates the comparative progress in cumulative AI expertise between two different groups over time.
Axes:
X-Axis (Horizontal): Represents time in years, spanning from 2022 to 2029.
Y-Axis (Vertical): Represents "Cumulative Expertise" This indicates the level of mastery or skill acquired in the field of Artificial Intelligence.
Legend and Lines:
The graph tracks two distinct groups:
"All-in AI Experts" (Solid Blue Line): Represents individuals fully dedicated to studying and working in AI.
"Outsiders" (Dashed Orange Line): Represents individuals outside the core AI field, perhaps learning casually or peripherally.
Trends and Key Features:
The "Outsiders" Trend: The dashed orange line shows a very shallow, gradual, and linear increase in expertise from 2022 through 2029. Their progress is slow and steady but remains relatively low on the cumulative expertise scale.
The "All-in AI Experts" Trend:
Early Phase (2022-2024): The blue line starts slightly higher than the outsiders and rises gradually, paralleling the slow pace of the outsiders initially.
The Acceleration (Inflection Point): Starting around 2025 November, the blue line turns sharply upward, indicating a massive acceleration in learning and expertise accumulation. This curve becomes nearly exponential.
Highlighted Milestone: A vertical yellow highlighted region spans roughly from mid-2025 to mid-2026. Within this zone, text points to the steepest part of the curve, stating: "10,000 Hours Milestone reached (November 2025)."
Later Phase (2026-2029): After reaching the milestone, the curve continues to rise steeply but flattens slightly into a rapid linear ascent, ending significantly higher on the expertise scale by 2029 compared to the outsiders.
```