The Tech Podcast Cemetery 2026: 68 Dead Shows, 8,123 Abandoned Episodes

The problem: A flagship tech podcast can publish 2,000 episodes, build a brand for a decade, and then quietly stop — with no announcement, no farewell episode, no press release. WIRED's What's New did exactly that in September 2024. POLITICO Tech went silent in December 2025. The audio strategy survives in archives long after it's been abandoned in fact.

What is the Tech Podcast Cemetery? A May 2026 ApifyForge analysis of 400 tech-adjacent podcasts indexed on Apple Podcasts US. Of those, 72 had not released a new episode in over 90 days — the threshold Apple itself uses to classify a feed as inactive. After stripping four false positives — Apple Events, which is intentionally event-driven, plus three non-tech shows that surfaced through the keyword "startups" — 68 verified tech-podcast dormancies remain, a 17% rate. Why it matters: The dormant shows include flagship podcasts from WIRED, POLITICO, TED, Microsoft, Salesforce, Snyk, the New York Times, the BBC, IBM, and the Council on Foreign Relations. Use it when: reporting on the state of audio strategy at major media outlets, vendor marketing pullback, or the failed AI-generated podcast experiment of late 2025.

Key findings

• 17% verified-tech dormancy rate — 68 dormant tech podcasts in a 400-show keyword sample, after stripping 4 false positives (Apple Events plus 3 non-tech matches).
• 8,123 episodes sit behind the 68 verified-dormant feeds — an average of 119 episodes per dead show.
• Eight major vendor-developer podcasts are silent, totalling 779 episodes published.
• WIRED's What's New published 2,000 episodes before going dormant in September 2024.
• POLITICO Tech, the most recent flagship to go quiet, ran 1,057 episodes through December 2025.
• PodcastAI's two AI-generated daily briefs about Anthropic and OpenAI both ended on the same day, October 27 2025.
• Sample is keyword-search-based, not chart-based — see methodology before generalising to "all tech podcasts."
• Search rank ≠ listenership. Apple's iTunes Search API does not expose listener counts; popularity here is inferred from search-result position only.

In this article: Quick answer · Story A — vendor podcasts · Story B — mainstream tech media · Story C — the AI-generated experiment · Top dormant shows · Methodology · Limitations · FAQ

Quick answer

• What it is: an indexed roll of tech podcasts on Apple that have stopped publishing.
• When the data was captured: 8 May 2026, single point-in-time scrape.
• What "dormant" means here: no new episode in 90+ days, matching Apple's own active-feed definition.
• What it does not mean: "cancelled." Some shows may resume.
• Main tradeoff: keyword-search corpus is broader than the Apple Charts top 200 but narrower than every podcast on the platform.

What is a dormant podcast?

Definition (short version): A dormant podcast is a feed that exists in a directory but has not released a new episode in 90 or more days. It is not formally cancelled — the archive remains live, the RSS feed responds, and a new episode could theoretically appear tomorrow.

The 90-day threshold is borrowed from Apple Podcasts' own classification. Apple itself flags feeds as inactive after roughly that window for the purposes of recommendations and search ranking. Spotify uses a slightly different model based on listener-decay rather than calendar gaps. For the analysis here, only the calendar-gap definition is used.

Also known as: silent podcast, lapsed feed, abandoned show, dead podcast (informal), inactive feed, paused podcast.

Why this matters

Audio strategy at large publishers is a high-cost, low-visibility line item. Producers, sound engineers, host fees, editing software, hosting, and promotional budgets all pile up. When a show goes dormant without a public announcement, the spend has stopped — but the brand exposure on the directory continues. The cemetery is therefore a leading indicator of where audio budgets have been quietly cut, before any disclosure surfaces in earnings calls or trade press.

Three patterns sit in the data: vendor-branded developer podcasts collapsing, mainstream tech-media pulling back from flagship audio, and an AI-generated podcast experiment failing in a single coordinated shutdown. Each is a story in its own right.

Story A — The vendor-developer podcast format is collapsing

In the 400-show sample, every vendor-branded developer podcast that surfaced is dormant. Eight named shows account for 779 episodes — none with a 2026 release.

Eight vendor podcasts. 779 episodes. No 2026 activity from any of them.

The collapse is uneven — Microsoft 365 Dev's host Jeremy Thake left Microsoft in 2024, which matches the show's December 2024 stop date. Each vendor case has its own backstory. But the pattern is consistent enough that "vendor-funded developer podcast" should now be considered a fragile content format. The economics — paid producer, paid host, episodic guest booking — work only as long as a single internal sponsor keeps protecting the budget. When that sponsor leaves, the format usually does too.

Story B — Mainstream tech media is quietly pulling back from audio

The cemetery roll's mainstream-media entries are harder to dismiss as one-off departures. Each show came from a publisher whose core business is journalism.

WIRED's What's New alone published 2,000 episodes before going dark in September 2024. POLITICO Tech ran 1,057 episodes — its last release was 18 December 2025, making it the most recently dormant flagship in the dataset. The TED AI Show launched in 2024, made it to 37 episodes by April 2025, and stopped. Rabbit Hole from the New York Times has been quiet since April 2020 and never returned.

The episode counts cumulatively represent multi-year audio investments. What's New's 2,000 episodes weren't recorded in a sprint; they accrued over more than a decade. Dormancy doesn't erase the back catalogue, but it does mark the end of a publishing strategy that someone, at some point, signed off on.

Story C — The AI-generated AI-news experiment failed

PodcastAI ran two flagship daily briefs covering Anthropic and OpenAI respectively, both produced by AI.

Both shows ended on the same day — 27 October 2025. A simultaneous shutdown across two related shows from one publisher reads as a controlled wind-down rather than coincidental abandonment. The format — AI-generated daily news briefs about AI labs — was an intuitive bet in 2024. Listeners didn't agree, or the unit economics didn't, or both. Either way, the experiment ended in a coordinated stop.

Top dormant tech shows by episode count

The largest verified-tech cemetery entries by published-episode count, after stripping non-tech keyword false-positives:

Two entries (rows 3 and 9) are Chinese-language tech podcasts that surfaced through the English keyword search — flagged with (zh) and included for transparency rather than for Western trade-press headlines. Two raw cemetery entries that did not survive the verified-tech filter — Custom Apparel Startups (208 episodes) and Oil and Gas Startups Podcast (281 episodes) — appeared in the unfiltered scrape via the keyword "startups" and have been excluded.

Most recent deaths

The freshest verified-tech cemetery additions — last episode in late 2025:

Two raw scrape rows have been excluded from this most-recent table: Property Developer Podcast (real-estate, not tech — last episode 2025-12-04) and Apple Events (intentionally event-driven, releasing only around Apple's keynotes — last episode 2025-09-09). Both surfaced under a strict 90-day rule but are not editorial dormancies. Surfaced here so journalists can verify the strip rather than trust it blind.

Methodology

• Tool: ApifyForge's podcast-directory-scraper Apify actor, which queries Apple's iTunes Search API and merges show metadata with episode listings.
• Run ID: MDh09wHPbPwibH4GW, executed 2026-05-08, 24-second runtime, 400 result items.
• Search queries: ten tech-related keywords against the US Apple Podcasts catalogue — technology, tech news, startup, artificial intelligence, developer, programming, software engineering, venture capital, tech podcast, machine learning. Top 100 results per query, deduplicated.
• Sample: 400 unique podcasts after dedup of 1,000 raw search hits.
• Dormancy threshold: 90+ days since last episode at the time of capture. The actor surfaces this as isActive: false. The threshold matches Apple's own active-feed classification.
• Source data: Apple Podcasts only. Spotify, YouTube Podcasts, and Pocket Casts directories were not included.

The methodology is keyword-driven, not chart-driven. Apple Charts data is not exposed through the iTunes Search API, so the corpus here is "what Apple's search returns for tech keywords," not "the most-listened-to tech podcasts." A Chartable-based or Podcast-Index-based study would yield a different but related figure.

Limitations

• "Dormant" is not "cancelled." Some shows in the cemetery may resume publishing. The 90-day threshold is a calendar gap, not a statement of editorial intent.
• Sample selection bias. Apple's iTunes Search API has its own ranking algorithm. The 17% verified-tech dormancy rate is for search-result inclusions, not "the most popular tech podcasts" — Apple Charts data is not exposed by the API.
• Foreign-language and off-topic inclusions. A few results — 硅谷101, Custom Apparel Startups, Oil and Gas Startups Podcast — surfaced through keyword overlap. They appear in the cemetery roll but should not be treated as flagship tech-podcast losses.
• Apple Events caveat. Apple Events is intentionally event-driven; flagging it as dormant is mechanically correct but contextually expected.
• Single point-in-time capture. Re-running the search a month later may produce a different set of dormant shows, especially among edge cases sitting near the 90-day line.
• No audience data. The Apple iTunes Search API exposes metadata only — no listenership numbers, no advertising data, no employment changes at the publisher. Any inferences about why a show went dormant are external to this dataset.

Mini case study — POLITICO Tech, the most recent flagship loss

Before: POLITICO Tech ran for 1,057 published episodes, with a release cadence consistent enough to be classified as active throughout 2025.

Change: Final episode released 18 December 2025. No subsequent episode through the May 2026 capture date — a gap of roughly 142 days at scrape time.

State as of capture: The feed is live, the back catalogue is intact, and the show is still listed on Apple Podcasts. It is the largest mainstream-media flagship in the cemetery whose final episode landed in 2025 — making it the freshest piece of news in this dataset for trade press to pick up.

These numbers reflect one capture from one directory. Re-checking any individual show against its native website or Spotify presence is recommended before reporting a definitive end-of-publication.

What are the alternatives to this kind of analysis?

Several approaches exist for monitoring podcast inactivity at scale. Each has tradeoffs.

Pricing and features based on publicly available information as of May 2026 and may change.

Each approach has tradeoffs in coverage, refresh rate, and signal-to-noise. The right choice depends on whether the question is "what's popular?" or "what's been quietly abandoned?" — those produce very different rankings.

Key facts about the 2026 tech podcast cemetery

• Verified-tech dormancy rate in this 400-podcast keyword sample is 17% (68 shows), after stripping 4 false positives from the 72 raw hits.
• Combined episode count of the 68 verified-dormant shows is 8,123, an average of 119 episodes per show.
• Eight vendor-developer podcasts are dormant, totalling 779 episodes.
• The largest dormant show by episode count is WIRED's What's New with 2,000 episodes.
• The most recent flagship loss is POLITICO Tech, with a final episode on 18 December 2025.
• PodcastAI's two AI-generated daily briefs both ended on the same day, 27 October 2025 — a controlled simultaneous shutdown.
• Apple's iTunes Search API was the sole data source; Spotify was not included.
• Listenership figures are not in the dataset — Apple's iTunes Search API does not expose them.

Common misconceptions

• "This means tech podcasting is dying." The data covers 400 keyword-search results, not the entire podcast economy. New shows continue to launch. The signal here is that mature flagship formats are stopping, not that audio is collapsing as a medium.
• "Dormant means cancelled." Apple uses 90 days as an inactive-feed threshold for ranking purposes. Some shows resume after long gaps. The cemetery is a snapshot, not a death certificate.
• "WIRED stopped doing podcasts." What's New is one WIRED audio property. Other WIRED podcasts may still be active — this dataset only confirms what surfaced in the keyword corpus.

Glossary

• Dormant feed — a podcast RSS feed with no new episode in 90+ days.
• iTunes Search API — Apple's public metadata endpoint for podcasts and apps; does not expose chart rankings.
• isActive flag — a derived boolean exposed by the scraper, true when the most recent episode is within 90 days.
• Keyword corpus — the set of shows surfaced by querying a directory's search endpoint with a fixed list of terms.
• Vendor podcast — a podcast funded and produced by a software or services company, typically as developer marketing.
• Apple Events — Apple's own event-driven feed that publishes only around its keynotes; structurally always near the 90-day line.

When you need this analysis

You probably want to reference this dataset if:

• You're writing about a specific named publisher's audio strategy (WIRED, POLITICO, Microsoft, TED, NYT, BBC, IBM).
• You're covering vendor marketing budget shifts in 2024–2025.
• You're reporting on AI-generated content economics post-2025.
• You need a recent, dated, verifiable example of "format X stopped publishing" with sourceable evidence.
• You're doing a podcast-industry trend piece and want a concrete number (8,123 abandoned episodes across 68 verified-tech dormant shows) rather than vibes.

You probably don't need this if:

• You want listenership or download numbers — not in this dataset.
• You want the top 200 podcasts by audience — Apple Charts, not iTunes Search, surfaces those.
• You need cross-platform reach (Spotify, YouTube) — only Apple data here.
• You want editorial cancellation announcements — this is a metadata snapshot, not a sourced reporting brief.

How to verify any individual show in this dataset

Each named show in the cemetery roll links to its Apple Podcasts URL. To verify a single show is genuinely dormant rather than mid-restructuring:

1. Open the linked Apple Podcasts page and check the "Latest Episode" date.
2. Check the show's own website or social account for a public hiatus or end-of-show announcement.
3. Cross-reference the RSS feed via Podcast Index or Listen Notes for a second source.
4. Contact the publisher's PR for confirmation before reporting any individual show as definitively cancelled.

The cemetery roll is a starting point for trade-press reporting, not a substitute for it.

Frequently asked questions

How was the 17% dormancy rate calculated?

72 raw dormancy hits out of a 400-show keyword-search corpus on Apple Podcasts US, captured 8 May 2026. Four false positives were then stripped — Apple Events (intentionally event-driven, only releases around keynotes), Custom Apparel Startups, Property Developer Podcast, and Oil and Gas Startups Podcast (all surfaced through the keyword "startups" but are not tech podcasts). The verified-tech dormancy count is 68 shows, or 17% of the 400-show corpus. Dormancy is defined as no new episode in 90+ days, matching Apple's own inactive-feed threshold. The corpus came from ten tech-related keyword searches against Apple's iTunes Search API, top 100 results each, deduplicated to 400 unique shows.

Does this mean podcasting is dying?

No. The data covers 400 tech-keyword results, not the entire podcast medium. New shows continue to launch and many existing shows publish on healthy cadences. The signal is narrower: mature, flagship formats — particularly vendor-developer podcasts and some mainstream tech-media flagships — are going dormant in a clustered pattern across 2024–2025. That's a format story, not a medium story.

Why did PodcastAI's two daily briefs end on the same day?

The dataset shows both The Anthropic AI Daily Brief (104 episodes) and The OpenAI Daily Brief (118 episodes) had their final episodes on 27 October 2025. A coordinated same-day stop across two shows from one publisher reads as a controlled discontinuation rather than two independent abandonments. The dataset does not include PodcastAI's internal reasoning — that would need direct reporting.

Is "Apple Events" really dormant?

Mechanically, yes — it had no new episode for over 90 days at capture time. Contextually, no — Apple Events publishes only around Apple's keynotes, so long gaps are expected. It appears in the dataset for transparency but should not be treated as a meaningful dormancy case.

What about Spotify-only podcasts?

This dataset is Apple Podcasts only. Spotify-exclusive shows — including some Joe Rogan episodes and Spotify Originals — are not represented. A Spotify-side analysis would require a separate methodology and is not included here.

Can I republish these tables?

Yes — the dataset is presented for press citation. Attribution to ApifyForge with a link back to this post is appreciated. The press lift-out paragraph below is written for direct quoting. Re-checking any individual show against a second source before reporting it as definitively dormant is recommended.

Press lift-out paragraph

For trade press and newsletter use:

A May 2026 ApifyForge analysis of 400 tech-adjacent podcasts on Apple
Podcasts found 68 verified-tech dormant shows — 17% of the corpus, with
no episode in over 90 days. The cemetery includes flagship shows from
WIRED (2,000 episodes), POLITICO (1,057), Microsoft, Salesforce, Snyk,
TED, the New York Times, and the BBC, with 8,123 abandoned episodes
across the 68 shows. Vendor-branded developer podcasts and
mainstream-tech-media flagship shows are the two formats most affected,
with the eight named vendor podcasts in the sample accounting for 779
abandoned episodes between them.

Embeddable visual ideas

For publishers who want to render this dataset visually, three image briefs:

Bar chart — dormant shows by publisher category. Horizontal bars: Vendor (8), Mainstream tech-media (9), Indie / personal-brand (large remainder up to 68), AI-generated (2). Sorted descending. Title: "Tech podcast cemetery 2026 — dormant shows by publisher category, n=68 (verified-tech)."

Timeline scatter — when each named show went silent. X-axis: time, 2020 → 2026. Y-axis: episode count (log scale). Each named cemetery entry plotted at (last-episode date, lifetime episode count). Highlights: WIRED What's New high-and-late, POLITICO Tech high-and-very-late, NYT Rabbit Hole low-and-very-early.

Logo wall — publishers with abandoned shows. A 4×3 grid of logos: WIRED, POLITICO, TED, Microsoft, Salesforce, Snyk, NYT, BBC, IBM, PyTorch, Square, Council on Foreign Relations. Greyscale or desaturated treatment to match the cemetery framing.

Broader applicability

These patterns apply beyond podcasting to any subscription-rhythm content format — newsletters, YouTube series, blog publishing schedules, vendor developer-relations programmes:

• Cadence collapses are leading indicators of budget reprioritisation. A regular weekly schedule that becomes monthly, then quarterly, then nothing, almost always traces back to an internal sponsor change.
• Sponsor-bound formats are fragile. Single-internal-champion content programmes rarely survive that champion's departure.
• Coordinated multi-property shutdowns indicate corporate-level decisions. When two related properties stop on the same day, the cause is at the org level, not the show level.
• Large back catalogues are not protective. A 2,000-episode archive does not prevent a quiet stop.
• Directories outlast strategies. The metadata persists in Apple, Spotify, Google long after the publishing has stopped — making dormancy publicly auditable in a way that internal cancellations are not.

Implementation checklist for journalists using this data

1. Identify the named show or publisher you intend to cite.
2. Open its Apple Podcasts URL from this post and confirm the last-episode date.
3. Check the publisher's own website and social accounts for a public statement.
4. Contact the publisher's PR for comment before publishing.
5. If reporting on an individual show as cancelled, attribute the cancellation to your reporting and the dormancy to this dataset.
6. Use the press lift-out paragraph for the dataset framing; do not re-state the 17% figure as covering "all podcasts."
7. Link back to this post for methodology disclosure.

Common mistakes when citing this dataset

• Generalising to all podcasts. The sample is tech-keyword Apple Podcasts US results — not the whole medium. Frame all stats as "in this 400-show sample."
• Calling shows cancelled. "Dormant" is the right word until a publisher confirms otherwise.
• Ignoring the Apple Events caveat. Including event-driven feeds in the headline misrepresents the dormancy signal.
• Treating foreign-language inclusions as flagship losses. 硅谷101 is a real Chinese-language tech podcast, but it surfaced through English keyword overlap. Don't pull it into a Western trade-press headline.
• Inferring audience or revenue. The dataset has no listenership figures. Any "WIRED lost X listeners" framing requires separate sourcing.

Best practices for trade-press use

1. Always pair the 17% number with the methodology disclaimer ("400-show keyword corpus on Apple Podcasts US, verified-tech subset of 68 shows").
2. Quote a specific named show with its episode count and last-episode date — that's the most citable, verifiable unit.
3. Include the publication date of the analysis (May 2026) so the snapshot is anchored.
4. Note that "dormant ≠ cancelled" the first time the term is used.
5. Link to the original post for methodology — it surfaces Apple's 90-day classification as the threshold source.
6. If using the press lift-out paragraph verbatim, mark it as a quote.
7. For data-driven posts, embed at least one of the cemetery tables rather than re-keying figures.
8. Flag the Apple Events caveat if your piece's narrative depends on it.

A note on the underlying tool

The dataset was generated using the podcast-directory-scraper Apify actor — a pay-per-event metadata indexer for Apple Podcasts. Disclosure: I publish that actor on Apify Store as ryanclinton. The 24-second run for this analysis cost just over a cent on Apify's PPE pricing. The actor is documented separately in How to scrape podcast directories for B2B leads, which is about the lead-generation use case rather than this kind of dormancy research.

Ryan Clinton publishes Apify actors and MCP servers as ryanclinton and runs ApifyForge.

Last updated: May 2026

This guide focuses on Apple Podcasts US tech-keyword search results, but the same dormancy patterns apply broadly across any directory-indexed serial-content medium.