Fewer New Podcasts In June, Yet Stronger Activity Marks First Half Of 2026.

The podcast search engine and database Listen Notes reports 8,257 new podcasts launched worldwide in June, the lowest number of any month so far in 2026. The total was 1,200 fewer than the prior month. It brings the total number of podcasts launched this year to 82,642. At the current pace, it will mean 2026 is set to have the fewest launches since 2017.

While launches may be softer than in recent years, active show numbers remain robust. Listen Notes says 519,708 podcasts have been active so far in 2026. That is more than twice last year’s total. And it is the largest number of active shows since the pandemic boom of 2021. As a result, it says the total number of episodes released by creators so far this year tops 14 million.

Another sign of stability comes from podcast mortality. Listen Notes classifies a podcast as dead when its RSS feed is deleted or when publishers mark a show as complete. Based on that methodology, 10,662 podcasts have been declared dead so far in 2026, well below the levels seen during the pandemic-era boom years.

Overall, Listen Notes says the podcast ecosystem is approaching 3.8 million podcasts and 192 million episodes. Rather than a shrinking industry, the numbers suggest podcasting is evolving into a more mature one — where longevity, consistency and quality matter more than ever.

The rise of podcasts produced by generative AI has led to an ongoing effort by Listen Notes to scrub its database of AI-generated and low-quality “fake” podcasts. After a first quarter that saw a surge in removals, the company says the number of AI removals ticked up to 4,389 in June.

The figures show automated content remains a persistent challenge for podcast platforms and directories. Over the past 13 months, Listen Notes has removed nearly 63,000 AI-generated fake podcasts from its index.

The removals continue to suggest that at least some of the industry’s apparent growth in recent years may have been inflated by low-quality automated content rather than legitimate podcast creators. As platforms become more aggressive in identifying and removing those feeds, headline growth figures may increasingly reflect genuine publishing activity.