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Teachers training their replacements & AI excitement versus social harm - AI News (Sep 7, 2026)
Published 1 month, 1 week ago
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-How One Writer Feels About AI
-Why a South African scholar refused to train the AI that could replace him
-engrim: Local-First Memory Store for AI Coding Agents
-GOP Warns AI Companies That Data Centers Are Turning Politically Toxic
-ROCm 10.0 Launches with ROCm.AI and TheRock
-Ripwire: A Deterministic Map for AI Code Agents
-Amazon cargo plane crashes at Miami airport, killing at least five
Episode Transcript
Teachers training their replacements
We’ll start with a story that gets at the AI economy in very personal terms. A South African academic says that just after finishing his PhD, instead of moving into teaching, he was recruited to help train an AI system to handle parts of teaching itself, including creating assessments and grading student work. He ultimately walked away, but not because the offer was absurd. In fact, that is what makes the story land. In a weak job market, the work was tempting.
Why this matters is bigger than one person or one country. AI companies are no longer focused only on automating repetitive office tasks. They are increasingly trying to capture professional judgment, the kind of expertise people build over years in classrooms, clinics, and legal offices. And in regions where highly educated labor is available at lower cost, that transfer of human expertise into machines can happen very efficiently. The tension is obvious: workers may need the paycheck today, even if the work helps weaken th
- Discover the Future of AI Audio with ElevenLabs - https://try.elevenlabs.io/tad
- Consensus: AI for Research. Get a free month - https://get.consensus.app/automated_daily
- Effortless AI design for presentations, websites, and more with Gamma - https://try.gamma.app/tad
Support The Automated Daily directly:
Buy me a coffee: https://buymeacoffee.com/theautomateddaily
Today's topics:
Teachers training their replacements - A South African academic describes being recruited to help train AI to design assessments, teach students, and grade essays. The story highlights AI labor, automation, higher education, and the pressure workers face when short-term income may accelerate long-term job displacement.
AI excitement versus social harm - A new essay captures the split many people feel about AI: genuine awe at what LLMs can do, alongside concern about safety, the open web, artists, and environmental costs. It matters because it frames AI as technologically impressive but socially destabilizing.
Data centers turn political - Republicans are warning major AI companies that data centers are becoming a serious campaign issue, especially over electricity, water use, and local economic benefits. The fight shows AI infrastructure is no longer just a tech story; it is becoming a mainstream political liability.
-How One Writer Feels About AI
-Why a South African scholar refused to train the AI that could replace him
-engrim: Local-First Memory Store for AI Coding Agents
-GOP Warns AI Companies That Data Centers Are Turning Politically Toxic
-ROCm 10.0 Launches with ROCm.AI and TheRock
-Ripwire: A Deterministic Map for AI Code Agents
-Amazon cargo plane crashes at Miami airport, killing at least five
Episode Transcript
Teachers training their replacements
We’ll start with a story that gets at the AI economy in very personal terms. A South African academic says that just after finishing his PhD, instead of moving into teaching, he was recruited to help train an AI system to handle parts of teaching itself, including creating assessments and grading student work. He ultimately walked away, but not because the offer was absurd. In fact, that is what makes the story land. In a weak job market, the work was tempting.
Why this matters is bigger than one person or one country. AI companies are no longer focused only on automating repetitive office tasks. They are increasingly trying to capture professional judgment, the kind of expertise people build over years in classrooms, clinics, and legal offices. And in regions where highly educated labor is available at lower cost, that transfer of human expertise into machines can happen very efficiently. The tension is obvious: workers may need the paycheck today, even if the work helps weaken th