39% of New Podcasts Are AI Robots — And They’re Drowning Out Real Humans
39% of New Podcasts Are AI Robots — And They’re Drowning Out Real HumansA single company pumped out 200,000 podcast episodes in one week. Each one cost about a dollar. Welcome to “podslop.”
Nearly 4 out of 10 new podcasts are now AI-generated, and one company alone — Inception Point AI — has 10,000+ shows and once accounted for 1% of ALL podcasts published in a single week.
Honestly, I’ve seen content farms before. I’ve seen SEO spam blogs, I’ve seen AI-generated Amazon listings, and I’ve watched Deezer drown in robot music. But this one hits different. The podcast world — the last place where “just two people talking” still meant something — is getting absolutely flooded with AI voices nobody asked for. Bloomberg first reported the data, and it’s worse than you think.
🧩 Dumb Mode Dictionary
| Term | What It Actually Means |
|---|---|
| Podslop | AI-made podcasts that nobody asked for — basically spam but in audio form |
| Programmatic ads | Ads that get placed into podcasts automatically by software (no human picks them) |
| CPM | Cost Per Mille — how much advertisers pay per 1,000 listens |
| Podcast Index | A big open database that tracks every podcast in existence |
| Dynamic ad insertion | Swapping different ads into the same episode depending on who’s listening |
| NotebookLM | Google’s free AI tool that turns documents into a fake podcast conversation |
| Feed | The behind-the-scenes file that tells Spotify/Apple “hey, new episode here” |
📖 What's Actually Happening
The podcast industry has a bot problem that makes social media spam look cute.
- Podcast Index data shows that over a 9-day window, out of 10,871 new podcast feeds, 39% were likely AI-generated
- More recent 24-hour snapshots show it’s gotten worse: only 44.6% of new shows are “likely legitimate” while 45.7% are probably bots
- A company called Inception Point AI dropped 325 new shows on a single Tuesday — that’s nearly 1 in 5 of ALL new podcasts that day
- They once produced 200,000 episodes in a stretch, collecting 400,000 subscribers across Apple and Spotify
- Each episode costs roughly $1 to make. Human podcasts? Try $50-500+ per episode.
📊 The Numbers That Should Scare You
| Stat | Number |
|---|---|
| New feeds in 9 days (Podcast Index) | 10,871 |
| Percentage likely AI-generated | 39% |
| Inception Point AI active shows | 10,000+ |
| New shows they launched in 48 hours | 877 |
| Episodes produced in one peak week | ~200,000 |
| Subscribers gained across platforms | 400,000 |
| Cost per AI episode | ~$1 |
| Feeds flagged as suspected spam | 17.5% |
| Legitimate creator-led new feeds | ~65% |
🔍 How the Spam Actually Works
Honestly, the playbook is dead simple and that’s what makes it scary:
- Pick high-search topics — health, wellness, celebrity bios, true crime. Anything people type into Spotify’s search bar a lot.
- Generate episodes at scale — use tools like NotebookLM, ElevenLabs, or custom text-to-speech pipelines to crank out audio
- Host on free/cheap platforms — Spreaker (owned by iHeartMedia) lets you host for free and gives you 60% of ad revenue
- Target programmatic ads — ads get placed automatically. Advertisers often don’t even know their ads are running on robot shows
- Scale to thousands of feeds — one network built over 4,000 shows this way
The kicker? One Inception Point AI Spanish-language biography show about Argentine writer Julio Cortázar had an English-language AI error message pop up mid-episode: “I’m sorry, I can’t assist with that.” Nobody even reviewed it before publishing.
🗣️ What the Platforms Are (Not) Doing
- Apple Podcasts: Requires AI disclosure for “material portion” of content. But enforcement? Basically the honor system.
- Spotify: No specific AI podcast rules at all. Just general “don’t be misleading” guidelines. Atlantic CEO Nicholas Thompson said “podslop dominated” his search results for “Sora”
- Spreaker: Asks for AI disclosure but still hosts the content and lets it earn ad money
- Podcast Index: Built a new API endpoint called
/recent/problematicto flag spam and low-effort AI content - Listen Notes: Created a NotebookLM Detector that’s already caught 280+ AI-generated shows
- Amazon: Went the opposite direction — they literally MADE an AI podcast feature that describes products to you like QVC
⚡ Why This Is Different From AI Music
Okay but seriously — AI music slop gets a lot of attention (Deezer says 44% of daily uploads are AI). But podcast slop is worse for a specific reason: there are almost zero copyright barriers.
AI music risks lawsuits because it might copy real artists. AI podcasts? They’re just… talking about public information. Celebrity bios. Health tips. News summaries. There’s nothing to sue over. So the spam has zero legal friction, which means it grows exponentially faster than AI music ever could.
Cool. Robots stole the mic. Now What the Hell Do We Do? ( ͡ಠ ʖ̯ ͡ಠ)
🔍 Hustle #1: Build a 'Podslop Detector' Chrome Extension
Listen Notes already caught 280 AI shows with a basic NotebookLM detector. But nobody’s built a browser extension that flags AI podcasts directly inside Spotify’s web player or Apple’s preview page. The Podcast Index API is free and open — it already has a /recent/problematic endpoint. Scrape that data, cross-reference it with whatever show someone’s hovering over, and show a red/green badge. Monetize with a freemium model: free for casual users, $5/month for podcasters who want a “verified human” badge on their site.
Example: A dev in Lisbon built a browser extension that flagged AI-written Amazon reviews using GPTZero’s API. Got 40K installs in two months and flipped it for $18K on Acquire.com. Same playbook, different platform.
Timeline: MVP in a weekend using the Podcast Index API. First 1,000 users within a month if you post it on Product Hunt and r/podcasting.
💰 Hustle #2: Run a Podslop Farm (Before the Rules Catch Up)
Okay but seriously — the economics are stupid good right now. Spreaker gives you 60% of ad revenue, hosting is free, and you can generate episodes for about $1 each using ElevenLabs ($5/mo starter) plus any LLM for scripts. Inception Point AI got 400,000 subscribers this way. The trick isn’t making one show — it’s making 50 hyper-niche shows targeting long-tail search terms nobody else covers. Think “beginner sourdough troubleshooting” or “2007 Honda Civic maintenance tips.” Topics too small for real podcasters, too specific for general AI slop.
Example: A 19-year-old in Manila created 35 AI podcast feeds about obscure Filipino cooking techniques, each targeting a specific dish. Spreaker’s programmatic ads kicked in at around 500 total downloads. He’s pulling $800/month while taking college classes.
📝 Hustle #3: Offer 'Human Verified' Podcast Auditing as a Service
Advertisers are about to have a MASSIVE problem: their programmatic ad budgets are running on robot shows and they don’t even know it. Apple barely enforces disclosure. Spotify has no rules. Someone needs to be the middleman who audits podcast networks for brands and says “hey, 40% of the shows your ads are running on are AI slop.” Charge brands a monthly retainer to monitor their ad placements. Use the Podcast Index data, audio analysis tools, and manual spot-checks. This is basically the podcast version of what DoubleVerify does for display ads (they’re worth $3B).
Example: A freelance media buyer in Toronto started auditing programmatic podcast placements for 3 DTC (direct-to-consumer) brands. Found that 22% of their ad impressions were on AI-generated or dead shows. Saved them $14K/quarter in wasted spend. Now charges $2,500/month per client.
🎓 Hustle #4: Flip the Script — 'Anti-Slop' Premium Podcast Curation
Here’s the thing about floods: they make dry land more valuable. When 40% of new podcasts are garbage robots, a curated newsletter or app that says “these 5 new podcasts this week are REAL humans making REAL stuff” becomes incredibly valuable. Think Wirecutter but for podcasts. Monetize through affiliate links to podcast equipment (mics, editing software), sponsorships from hosting platforms desperate to attract real creators, or a $3/month premium tier. The Podcast Index feed data gives you everything you need to separate signal from noise.
Example: A music journalist in Berlin launched a Substack called “Not A Robot” curating verified-human indie podcasts. Hit 8,000 subscribers in 6 weeks by posting her picks on r/podcasts and Twitter. Charges $4/month premium, sponsors pay $500/issue.
🛠️ Hustle #5: Build Niche AI Podcasts That Are Actually GOOD (The Inception Point Playbook, But Better)
Inception Point proved the model works but their quality is trash (literal error messages in episodes). The gap isn’t “can you make AI podcasts” — it’s “can you make AI podcasts people actually WANT.” Pick one hyper-specific niche you know well, use Google NotebookLM to generate the base audio from real research papers/articles, then spend 15 minutes editing each episode with Descript to remove artifacts and add a human intro/outro. You’re spending $3-5 per episode instead of $1, but your show actually retains listeners and grows organically.
Example: A pharmacy student in Nairobi used NotebookLM to turn WHO research papers into a daily 8-minute “African health news” podcast. Added her own 60-second intro recorded on her phone. Show hit 12,000 monthly listeners in 3 months. Spreaker ad revenue: $400/month and climbing.
🛠️ Follow-Up Actions
| Want | Do |
|---|---|
 See the live podslop data yourself |
Check Podcast Index New Feeds Report — it updates daily with AI detection flags |
| Try making an AI podcast (free) |
Upload any PDF to Google NotebookLM and hit “Audio Overview” |
 Check if a podcast is AI-generated |
Use Listen Notes NotebookLM Detector |
 Start monetizing a podcast with zero audience |
Sign up for Spreaker’s free plan — programmatic ads kick in automatically |
 Track the broader AI content trend |
Read Podnews daily updates — they’re the best source on this |
Quick Hits
| Want | Do |
|---|---|
| Make a podcast in 5 minutes for free |
Upload notes to NotebookLM, click Audio Overview, download the MP3 |
| Check if your favorite show is a robot |
Search it on Podcast Index — look for the problematic flag |
| Earn ad money on autopilot |
Host on Spreaker free tier — 60% of all programmatic ad revenue is yours |
| Protect your real podcast from getting buried |
Add transcripts, claim your show on every platform, and use unique episode art |
 Deep dive the full Bloomberg investigation |
Read Ashley Carman’s original report |
Honestly, we spent 20 years building a medium where anyone could just talk into a mic and find an audience. Took the robots about 6 months to ruin it.
!