{"podcast":{"title":"Chain of Thought | AI Agents, Infrastructure & Engineering","slug":"chain-of-thought-ai-agents","podcast_index_feed_id":7074333,"rss_url":"https://feeds.transistor.fm/chain-of-thought","website_url":"https://www.chainofthought.show/","image_url":"https://img.transistorcdn.com/L9UtZvVIeHCUeyWb9gm7IMgzws11SpR5smiF7YG89n4/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZWU3/Mjk4NDcwNGRiOGI4/NWUwMTQ0ZjA1NjM3/ZWU0Ny5qcGc.jpg","author":"Conor Bronsdon","episode_count":73,"summary":"AI is reshaping infrastructure, strategy, and entire industries. Chain of Thought is the podcast where builders reason through what's changing. Host Conor Bronsdon sits down with the engineers and founders shipping AI in production to get past the hype into what's working and what isn't. Episodes cover model infrastructure, inference, agent frameworks, evaluation, and developer tools. Guests have come from NVIDIA, Google DeepMind, AMD, Databricks, Vercel, and more. Every episode carries a full transcript and show notes at chainofthought.show. New episodes weekly. Conor Bronsdon is an independent consultant and angel investor in AI infrastructure and developer tools. He led technical ecosystem at Modular, acquired by Qualcomm in 2026; led developer awareness at Galileo, acquired by Cisco; and ran developer marketing at LinearB, where he was GM of the Dev Interrupted podcast and community. Views expressed by the host and guests are their own.","last_synced_at":"2026-09-10T00:20:07.137048+00:00","page_url":"https://stenobird.com/podcast/chain-of-thought-ai-agents"},"episode":{"title":"The AI Hiring Doom Loop: Applications Up 239%, Hires Down 75%","slug":"the-ai-hiring-doom-loop-applications-up-239-hires-down-75","published_at":"2026-05-06T11:30:00+00:00","page_url":"https://stenobird.com/podcast/chain-of-thought-ai-agents/the-ai-hiring-doom-loop-applications-up-239-hires-down-75","show_page_url":"https://stenobird.com/podcast/chain-of-thought-ai-agents","url":"https://share.transistor.fm/s/0ddeba66","audio_url":"https://media.transistor.fm/0ddeba66/27bff994.mp3","summary":"The rise of AI-driven auto-applications has created an 'AI hiring doom loop' where application volumes have surged by 239% while interview rates have plummeted by 75%. Greenhouse CEO Daniel Chait explores how both recruiters and candidates can use high-signal intent to break this cycle.","meta_description":"Explore the 'AI hiring doom loop': why applications are up 239% but hires are down 75%, and how to use AI to signal true intent in a crowded market.","key_points":["Main idea: The 'AI doom loop' is a feedback loop where AI-powered mass applications overwhelm recruiters, causing them to filter out more candidates","Failure mode: Using AI to mass-apply to jobs creates 'false progress' for candidates and increases noise for employers, ultimately reducing the chance of an interview","Practical takeaway: Candidates can break the loop by using high-signal features like Greenhouse's 'dream job' indicator to demonstrate genuine intent","Practical takeaway: Building a public profile and engaging in technical communities remains a more effective strategy than automated resume hacking","Future outlook: The next era of hiring will focus on verifiable identity and data-informed conversations to separate real talent from AI-generated noise"],"chapters":[{"start_ms":60000,"title":"The AI Doom Loop Defined","summary":"An analysis of how ChatGPT-era application surges are causing a 75% drop in candidates reaching the interview stage."},{"start_ms":325000,"title":"The Impact of AI on Job Seeking","summary":"How a softening job market is driving candidates to use AI tools to increase their application volume."},{"start_ms":845000,"title":"The Rise of Low-Quality Applications","summary":"The dangers of AI-generated resumes and fake applications that degrade the hiring process for everyone."},{"start_ms":1355000,"title":"New Tools for High-Signal Hiring","summary":"How Greenhouse is using 'dream job' signals to help recruiters prioritize high-intent candidates."},{"start_ms":1875000,"title":"Strategies for Technical Candidates","summary":"Why community involvement and reputation building outperform automated application bots."},{"start_ms":2390000,"title":"Rethinking the Application Process","summary":"Moving beyond the 'click to apply' era toward a more thoughtful, less automated approach to hiring."},{"start_ms":3155000,"title":"The Future of AI in Recruitment","summary":"Predictions on how AI will facilitate more transparent, data-driven, and human-centric hiring conversations."}],"topics":["AI in Recruitment","Job Market Trends","Greenhouse","Automated Applications","Hiring Technology","Candidate Strategy","Artificial Intelligence","Talent Acquisition"],"duration_seconds":3427,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/chain-of-thought-ai-agents/episodes/the-ai-hiring-doom-loop-applications-up-239-hires-down-75/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/chain-of-thought-ai-agents/the-ai-hiring-doom-loop-applications-up-239-hires-down-75.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}