Teachers, Students, and the Coming AI Winter: What Happens When the Boom Freezes?
Update: 2025-09-07
Description
Today’s episode covers how teachers are embracing AI, what students really think about AI vs teacher feedback, the latest AI news (from Anthropic to Apple), and why “nano banana” is more than just a meme.
00:00 — Opening
Welcome + banter. Setting up today’s topics: teachers using AI, student trust in AI vs human feedback, rapid news, and the looming question — is an AI winter coming?
00:46 — Teachers Embracing AI
Fresh research shows educators are saving up to 6 hours a week with AI. From course materials to simulations, teachers are co-creating and delegating tasks — but should students know when AI is grading their work?
03:16 — Student Trust: AI vs Teachers
A 7,000-student study across four Australian universities finds nearly half already use AI for feedback. Students rate AI and teacher feedback equally helpful, but trust teachers far more (90% vs 60%). What this means for the future of assessment.
05:32 — News Roundup
14:02 — Jargon Buster
Human in the loop vs Human on the loop. Practical examples from fraud detection and lane-keeping in cars — why these distinctions matter for trust and accountability.
15:35 — The AI Winter Debate
What happens if AI progress stalls? Lessons from past winters, why a plateau could actually strengthen adoption, and the difference this time — millions of everyday users won’t just forget AI exists.
22:34 — Cognitive Crash Scenario
What if there’s no more data to train on? We walk through four AI model responses: shock, adaptation, education rethink, and cultural rebound.
26:55 — Jobs & Society in a Plateau WorldHybrid jobs, AI wranglers, humanities revival, and why not everything should be automated.
28:40 — Closing Thoughts
AI winters might not be an apocalypse — they might be the pause we need to build resilience and re-center human creativity.
🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache.
Every episode:
• Real tests of AI tools in education and professional workflows
• Fast, Monday-morning actions you can actually try
• Clear signal through the noise (no hype, no jargon)
👉 Subscribe on [YouTube] | [Apple Podcasts] | [Spotify]
👉 Share this with a colleague who still says “I’ll figure AI out later”
👉 Join the conversation on LinkedIn with #AdjunctIntelligence
Stay curious. Stay intelligent. Stay the human in the loop.
00:00 — Opening
Welcome + banter. Setting up today’s topics: teachers using AI, student trust in AI vs human feedback, rapid news, and the looming question — is an AI winter coming?
00:46 — Teachers Embracing AI
Fresh research shows educators are saving up to 6 hours a week with AI. From course materials to simulations, teachers are co-creating and delegating tasks — but should students know when AI is grading their work?
03:16 — Student Trust: AI vs Teachers
A 7,000-student study across four Australian universities finds nearly half already use AI for feedback. Students rate AI and teacher feedback equally helpful, but trust teachers far more (90% vs 60%). What this means for the future of assessment.
05:32 — News Roundup
- Anthropic’s privacy toggle drama & Chrome agent release
- Atlassian buys a beloved AI browser
- Enterprise market share: Claude overtakes OpenAI
- Apple quietly testing Gemini for Siri
- Instructure’s Ignite AI conundrum session
- Deakin CRADLE says assessment is a “wicked problem” with no silver bullet
- Google’s “Nano Banana” (Gemini image editing) explodes: 10M users, 200M edits in two weeks
14:02 — Jargon Buster
Human in the loop vs Human on the loop. Practical examples from fraud detection and lane-keeping in cars — why these distinctions matter for trust and accountability.
15:35 — The AI Winter Debate
What happens if AI progress stalls? Lessons from past winters, why a plateau could actually strengthen adoption, and the difference this time — millions of everyday users won’t just forget AI exists.
22:34 — Cognitive Crash Scenario
What if there’s no more data to train on? We walk through four AI model responses: shock, adaptation, education rethink, and cultural rebound.
26:55 — Jobs & Society in a Plateau WorldHybrid jobs, AI wranglers, humanities revival, and why not everything should be automated.
28:40 — Closing Thoughts
AI winters might not be an apocalypse — they might be the pause we need to build resilience and re-center human creativity.
🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache.
Every episode:
• Real tests of AI tools in education and professional workflows
• Fast, Monday-morning actions you can actually try
• Clear signal through the noise (no hype, no jargon)
👉 Subscribe on [YouTube] | [Apple Podcasts] | [Spotify]
👉 Share this with a colleague who still says “I’ll figure AI out later”
👉 Join the conversation on LinkedIn with #AdjunctIntelligence
Stay curious. Stay intelligent. Stay the human in the loop.
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