😯 AI Threatens Entry-Level Jobs

Also: Perplexity AI Launches Labs for Pro Subscribers

Author

Evolving AI
May 30, 2025

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Welcome, AI enthusiasts

Big changes are coming to the workplace. According to Anthropic CEO Dario Amodei, AI could take over half of all entry-level office jobs in just five years. While businesses are saving money by using AI for basic tasks, this shift could lead to a serious rise in unemployment. Let’s dive in! 

In today’s insights:

  • AI Threatens Entry-Level Jobs

  • Perplexity AI Launches Labs for Pro Subscribers

  • Amazon and NYT Ink AI Licensing Deal

Read time: 4 minutes

LATEST DEVELOPMENTS

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Evolving AI: AI could eliminate 50% of entry-level white-collar jobs within five years.

Key Points:

  • Anthropic CEO warns that half of entry-level white-collar jobs could vanish due to AI in five years.

  • AI advancements are rapidly matching and exceeding human capabilities, especially impacting early-career roles.

  • Tech companies increasingly prefer experienced workers equipped with AI tools, significantly reducing entry-level hiring.

Details:

Anthropic CEO Dario Amodei predicts significant job losses, potentially raising unemployment rates sharply. Businesses already benefit financially from AI's ability to replace entry-level tasks. Entry-level roles in tech, finance, law, and consulting face substantial threats, prompting warnings for governments and companies to proactively address these looming changes.

Why It Matters:

Entry-level professionals must quickly adopt AI skills to remain employable. Universities and training programs need urgent updates to better equip new grads for an AI-integrated workforce. If AI wipes out entry-level roles, companies lose a key pipeline for training future leaders. Without junior staff, how will firms grow talent internally? And what happens when AI still needs oversight, but there’s no one left who ever learned the job?

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Evolving AI: Perplexity Labs delivers integrated AI workflows.

Key Points:

  • Perplexity Labs enables extended autonomous sessions to produce complete outputs like apps and reports.

  • Labs integrates deep web browsing, code execution, and asset creation.

  • The Labs environment is positioned between Research and Search, enhancing productivity.

Details:

Perplexity introduced Labs, available exclusively to Pro subscribers. Labs introduces a unified AI environment capable of autonomous, roughly ten-minute sessions. It seamlessly combines tasks such as deep web browsing, executing code, and creating assets like images, charts, or CSV files. Outputs are organized within built-in Assets and Apps tabs, significantly streamlining complex workflows.

Why It Matters:

Labs hints at the next phase of AI: not just giving answers, but building full solutions. It blurs the line between search engine and assistant, turning a question into a working app, chart, or dataset in minutes. If this works at scale, it could replace dozens of daily tools with one unified workspace.

Source: Uoregon edu

Evolving AI: Amazon secures rights to use NYT content in AI.

Key Points:

  • Amazon will use New York Times content to enhance AI experiences.

  • Deal includes articles, cooking content, and sports coverage from The Athletic.

  • Links to full NYT articles will be integrated within Amazon platforms like Alexa.

Details:

Amazon and The New York Times have announced a licensing agreement, allowing Amazon to incorporate NYT editorial content into its AI tools. This partnership spans various content areas, including general news articles, recipes from NYT Cooking, and sports insights from The Athletic. The deal notably arrives after NYT's previous copyright disputes with OpenAI and Microsoft, marking Amazon’s first major content licensing agreement for AI development.

Why It Matters:

While the New York Times is suing OpenAI and Microsoft for using its content without permission, it struck a deal with Amazon instead. That gives Amazon legal access to trusted journalism for training and AI responses, something its rivals now risk losing. If more publishers follow, the AI industry could split: models trained on paid, licensed data vs. those that aren’t.

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