AI Can Read Scans Now — So Why Are Radiologists More in Demand Than Ever?

AI’s Impact on Productivity, Jobs, and Society

Artificial Intelligence (AI) is more than just a revolution in productivity—it represents a gradual but profound transformation of society.

When efficiency skyrockets thanks to AI, an age-old question reappears:

> Will humans be replaced?

If AI performs tasks faster and more accurately, will certain jobs vanish? The reality is far more nuanced.

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Medical Imaging: Proof Humans are Still Essential

Radiology offers one of the clearest examples of AI progress:

• In 2017, Stanford’s CheXNet outperformed professional doctors in pneumonia detection.
• Today, 700+ FDA-approved radiology AI models account for over 75% of all medical AI devices.

Logic says: radiologists should be obsolete.

Reality says: radiologists are more in demand than ever.

Key Facts:

• By 2025, U.S. radiologists will earn $520,000/year, second only to plastic surgeons.
• Radiology positions and vacancy rates are at record highs.

Why?

• AI boosts diagnostic efficiency and accessibility → more exams overall.
• AI handles part of the workflow; complex or risky cases demand human oversight.
• Regulations require human signatures on final reports.

This creates more work for radiologists—not less—illustrating the Jevons Paradox:

> When technology boosts efficiency, demand grows, leading to more work.

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Economic Effects: Jevons + Baumol

AI’s productivity impacts don’t stop at direct efficiency gains—they influence wages, prices, and entire industries.

Jevons Paradox

• First observed in coal: greater efficiency → higher consumption.
• Modern example: Moore’s Law cut transistor costs by billions-fold, creating trillions more computing uses.

Example Price vs. Usage Growth:

| Transistor Price | Typical Uses |

|------------------|--------------|

| $1 | Military, payroll |

| 0.001 cents | Word processing |

| 0.000001 cents | Thermostats, greeting cards |

| 0.000000001 cents| Disposable shipping tags |

Platforms like AiToEarn官网 embody this effect by enabling global creators to use AI for:

• Content generation
• Cross-platform publishing
• Analytics & model ranking
• Monetization across Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X (Twitter)

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Baumol Effect ("Cost Disease")

William Baumol explained why industries like orchestras face rising costs:

> Industries without efficiency improvements must raise wages to compete for talent.

When tech-driven sectors boost pay:

• Other sectors must follow suit to retain workers.
• Result: Rising prices even in industries untouched by AI.

Think about it: A booming AI industry may raise rents, salaries, and service costs—even for dog walkers.

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3 Scenarios From AI’s Ripple Effects

1. AI Makes the World Efficient — and Unrelated Services Costly

• HVAC technicians earn more due to AI data center cooling demand → their rates rise → other services (like plumbing) become pricier too.

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2. Jevons Effect on Services

• AI in legal work lowers drafting costs → people hire lawyers more often.
• Efficiency increases usage, not decreases costs long-term.

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3. The Priceless 1% of Human Work

When AI does 99% of a job, the human fail-safe becomes critical and expensive.

Examples:

• Radiologists verifying AI diagnoses
• Autonomous car "safety drivers"
• Signatories verifying compliance

Once AI truly hits 100%, those jobs may disappear—pay peaks then drops to zero.

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Looking Forward

If AI saturates workflows, the most highly valued jobs could become:

• Walking a dog
• Signing a legal document
• In-person confirmation

These tasks might be small today but could be economic bottlenecks tomorrow.

Bottom line:

• AI can drastically raise productivity.
• Jevons and Baumol explain why it may also increase demand and drive up unrelated costs.
• Platforms like AiToEarn官网 show how creators can tap into AI’s efficiency while preserving the irreplaceable human element.

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Read more:

• Jevons Paradox: Efficiency fuels consumption.
• Baumol Effect: Rising wages spread across industries.

Both phenomena will shape the AI-powered economy we’re entering—making human roles more valuable even amid automation.

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