There was a time when Wikipedia was the go-to source for information and one of the most trusted tools for research across the world. From students and journalists to researchers and everyday internet users, millions relied on the platform for quick and accessible knowledge. However, as technology continues to evolve, the way people consume information has also changed.

Today, Wikipedia faces growing competition from emerging technologies such as Artificial Intelligence (AI) tools and social media platforms, which now shape how many people search for and engage with information online. As a result, the platform has experienced a decline in page views over the years, raising important questions about its future relevance and visibility in the digital age.

To address these concerns, about 100 Wikimedian affiliates, volunteers, and external experts gathered in Frankfurt am Main from 30 January to 1 February 2026, for the Wikimedia Futures Lab event organised by the Wikimedia movement. The Futures Lab serves as a space for research, experimentation, and forward-thinking conversations on the future of free knowledge.

At a time when technology is rapidly transforming the internet and information-sharing, the event provided an opportunity for participants to reflect on how Wikipedia can continue to remain relevant, visible, and trusted in an increasingly digital and AI-driven world.

From the attendees

The conversations and ideas shared during the event formed the AWW Voices Podcast episode “Can Wikipedia Evolve with the Digital Age?”. In this episode, host Oluwapelumi Aina joined by Ruby D Brown, Co-Founder of African Wiki Women, Tochi Precious, Language Advocate and Co-Founder of the Igbo User Group, and Olubusola Afolabi, Community Engagement Lead at Free Knowledge Africa. 

Having attended the Wikimedia Futures Lab event, the guests shared their experiences, reflections, and key takeaways from the discussions held in Frankfurt. 

“The world around us is changing really fast. When you think about how people trust information online, AI-generated media, new laws, and shifting technologies, it becomes important to understand how these trends affect us as the Wikimedia community,” says Tochi.

Wikipedia vs Digital Age

Despite technological advancement, Wikipedia, once regarded as one of the most trusted digital information platforms, has seen a decline in page views since 2016 as more people turn to AI tools for information. However, it is important to recognise that many AI systems are trained using content from platforms like Wikipedia.

“For example, when you search for something on Google, the AI overview provides a summary alongside references. Very few people actually click on the Wikipedia link for the longer version. This shows that people are still consuming Wikipedia content, but AI tools now act as middlemen,” explains Olubusola.

According to her, this shift means Wikipedia can no longer rely solely on users visiting the platform directly. Instead, it must adapt to changing online habits and find ways to bring information closer to the spaces where audiences already spend their time.

She adds that Wikipedia must adapt by meeting audiences where they already are, bringing information directly to the platforms people use instead of expecting them to always visit the main website.

The solution

The rise of AI and social media has also changed how people consume information. Many users now prefer short-form content over long-form reading because of shrinking attention spans. Since Wikipedia is traditionally a long-form platform, there is growing pressure for it to evolve alongside these changing habits.

For many younger internet users, information is no longer consumed through lengthy articles alone. Videos, creators, podcasts, and short-form explainers are increasingly becoming the preferred way to learn and engage online.

“People are moving away from institution-based information and increasingly relying on personalities. They want direct interaction, and video content makes information easier to consume. As Wikimedia, we need to pay attention to these shifts so we can meet people where they are,” says Ruby.

The Dilemma

Wikimedia exists because of the volunteers who edit and write the content on the platform. While keeping up with technological change is necessary, the movement also faces the challenge of ensuring that technology does not overshadow the human element that has always been at the centre of Wikimedia projects.

As conversations around AI continue to grow, many community members believe the focus should remain on supporting contributors rather than replacing them.

Last year, the Wikimedian community launched its AI Strategy, which clearly showed that AI should not replace the human writers and editors but rather support their work.

Vabljeni k poslušanju in ogledu prve epizode iz nove serije podcastov Rdeče pese Od paleolita do Tita, v kateri bomo govorili o različnih zgodovinskih temah, njihovi relevantnosti za današnji čas in s tem prispevali k socialističnem razumevanju naše preteklosti.

V prvi epizodi je bil naš gost arheolog Dimitrij Mlekuž Vrhovnik s katerim smo govorili o Engelsovem Izvoru družine, privatne lastnine in države ter o tem kar arheologija danes pravi o teh procesih. Dotaknili smo se sezonskih sprememb družbene organizacije med lovci nabiralci, zažiganja hiš polnih pridelkov, ki so jih pridelali prvi poljedelci, ter pojava privatne lastnine in moških bojevniških grobov v bronasti dobi ter seveda Engelsovih teorij o “svetovnozgodovinskem porazu ženskega spola”.

Pošlji podcast kolegici, stisni lajk na Youtubu in se naroči na naše kanale.

The post OD PALEOLITA DO TITA 1: ALI JE IMEL ENGELS PRAV? O IZVORU DRUŽINE, PRIVATNE LASTNINE IN DRŽAVE first appeared on Rdeča Pesa.

Joseph Bernstein, New York Times:

Indeed, according to an April survey by Cumulus Media and the media research firm Signal Hill Insights, nearly three-quarters of podcast consumers play podcast videos, even if they minimize them, compared with about a quarter who listen only to the audio. Paul Riismandel, the president of Signal Hill, said that this split holds across age groups — it’s not simply driven by Gen Z and that younger generation’s supposed great appetite for video.

[…]

Still, this leaves everyone else — more than half of YouTube podcast consumers, who say they are actively watching videos. Here, it gets even trickier. YouTube, the most popular platform for podcasts, defines “views” in a variety of ways, among them a user who clicks “play” on a video and watches for at least 30 seconds: far from five hours. And the April survey data did not distinguish between people who were watching, say, four hours of Lex Fridman interviewing Marc Andreessen from people who were viewing the much shorter clips of these podcasts that are ubiquitous on TikTok, Instagram Reels, X and YouTube itself.

Thirty seconds is an awful short time to be counted as a single view on these very long videos. At the very least, I think it should be calculated as a fraction of the length of any specific video.

This report (PDF) has a few things of note, anyhow, like this from the fifth page:

YouTube is not a walled garden of podcasts: 72% of weekly podcast consumers who have consumed podcasts on YouTube say they would switch platforms from YouTube if a podcast were to become available only on another platform. 51% of YouTube podcast consumers say they already have listened to the same podcasts they consume on YouTube in another place.

There is not another YouTube, so this indicates to me the video component is not actually important to many people, and that YouTube is not a great podcast client. It is, however, a great place for discovery — a centralized platform in the largely decentralized world of podcasting.

Bernstein:

Now, the size of the market for video podcasts is too large to ignore, and many ad deals require podcasters to have a video component. The platforms where these video podcasts live, predominantly YouTube and Spotify, are creating new kinds of podcast consumers, who expect video.

The advertising model of podcasts has long been a tough nut to crack. It is harder to participate in the same surveillance model as the rest of the web, even with the development of dynamically ad insertion. There is simply less tracking and less data available to advertisers and data brokers. This is a good thing. YouTube, being a Google platform, offers advertisers more of what they are used to.

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Ben Cohen, Wall Street Journal:

Only four years ago, when it was less popular for podcasts than both Spotify and Apple, YouTube becoming a podcasting colossus sounded about as realistic as Martin Scorsese releasing his next movie on TikTok.

But this year, YouTube passed the competition and became the most popular service for podcasts in the U.S., with 31% of weekly podcast listeners saying it’s now the platform they use the most, according to Edison Research.

This is notable, but Cohen omits key context for why YouTube is suddenly a key podcast platform: Google Podcasts was shut down this year with users and podcasters alike instructed to move to YouTube. According to Buzzsprout’s 2023 analytics, Google Podcasts was used by only 2.5% of global listeners. YouTube is not listed in their report, perhaps because it exists in its own bubble instead of being part of the broader RSS-feed-reading podcast client ecosystem.

But where Google was previously bifurcating its market share, it aligned its users behind a single client. And, it would seem, that audience responded favourably.

John Herrman, New York magazine:

Then, just as the 2010s podcasting bubble was about to peak, TikTok arrived. Here was a video-first platform that was basically only a recommendation engine, minus the pretense and/or burden of sociality — a machine for automating and allocating virality. Its rapid growth drove older, less vibrant social-media platforms wild with envy and/or panic. They all immediately copied it, refashioning themselves as algorithmic short-video apps almost overnight. Suddenly, on every social-media platform — including YouTube, which plugged vertical video “Shorts” into its interface and rewarded creators who published them with followers, attention, and money — there was a major new opportunity for rapid, viral growth. TikTok’s success (and imitation by existing megaplatforms) triggered a formal explosion in video content as millions of users figured out what sorts of short videos worked in this new context: Vine-like comedy sketches; dances; product recommendations; rapid-fire confessionals. The list expanded quickly and widely, but one surprising category broke through: podcast clips.

Of the top twenty podcasts according to Edison Research, fifteen have what I would deem meaningful and regular video components. I excluded those with either a still piece of artwork or illustrated talking heads, and those which only occasionally have video.

Dave Winer:

[…] We’re losing the word “podcast” very quickly. It’s coming to mean video interviews on YouTube mostly. Our only hope is upgrading the open platform in a way that stimulates the imagination of creators, and there’s no time to waste. If you make a podcast client, it’s time to start collaborating with competitors and people who create RSS-based podcasts to take advantage of the open platforms, otherwise having a podcast will mean getting approved by Google, Apple, Spotify, Amazon etc. […]

I hope this is not the case. Luckily, YouTube seems to be an additional place for podcasters so far. I found every show in the top twenty available for download through Overcast in an audio-only format. Also, YouTube channels have RSS feeds, though that is not very useful in an audio-only client like Overcast. Also, Google’s commitment to RSS is about as good as the company’s commitment to anything.

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I am not much of a true crime podcast listener, but the first three episodes of “Kill List” — Overcast link — have transfixed me.

Jamie Bartlett:

Besa Mafia was a dark net site offering hitmen for hire. It worked something like this: a user could connect to the site using the Tor browser and request a hit. They’d send over some bitcoin (prices started from $5,000 USD for ‘death by shotgun’). Then they’d upload the name, address, photographs, of who they wanted killed. Plus any extra requests: make it look like a bungled robbery; need it done next week, etc. The website owner, a mysterious Romanian called ‘Yura’ would then connect them with a specialist hitman to carry out the commission.

[…]

In the end, Carl investigated one hundred and seventy five kill requests. Each one a wannabe murderer. Each one a potential victim — who Carl often phones and break the crazy news. “The hardest calls I’ve ever made” Carl tells me. “How do you explain that someone wants you dead?!” (Carl would be indirect, gentle. He tried to make sure the victim felt in control. But often they hung up. “They didn’t believe me. They thought I was a scammer”).

I am not sure I agree with Bartlett’s conclusion — “more and more complex crimes will be solved by podcast journalists” is only true to the extent any crime is “solved” by any journalist — but it does appear this particular podcast has had quite the impact already. What a fascinating and dark story this is.

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Speaking of podcasts, Michael Hobbes dove into Jonathan Haidt’s “The Anxious Generation” — previously mentioned — for his “If Books Could Kill” podcast. At two hours, it is the longest single episode they have done, but it is worth it for Hobbes’ careful exploration. There is some profanity.

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I enjoyed this appearance by Jony Ive on the “Live in Seven Songs” podcast. There are no revelations for anyone familiar with Ive’s life story, but it is a lovely conversation for anyone who enjoys listening to someone who is passionate about their life’s work.

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Canadian Prime Minister Justin Trudeau appeared on the New York Times’ “Hard Fork” podcast for a discussion about artificial intelligence, election security, TikTok, and more.

I have to agree with Aaron Vegh:

[…] I loved his messaging on Canada’s place in the world, which is pragmatic and optimistic. He sees his job as ambassador to the world, and he plays the role well.

I just want to pull some choice quotes from the episode that highlight what I enjoyed about Trudeau’s position on technology. He’s not merely well-briefed; he clearly takes an interest in the technology, and has a canny instinct for its implications in society.

I understand Trudeau’s appearance serves as much to promote his government’s efforts in A.I. as it does to communicate any real policy positions — take a sip every time Trudeau mentions how we “need to have a conversation” about something. But I also think co-hosts Kevin Roose and Casey Newton were able to get a real sense of how the Prime Minister thinks about A.I. and Canada’s place in the global tech industry.

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