Article
Attention
Comment
6 min read

Why bother with podcasts if nobody is listening?

As critics snipe at the popularity of podcasting, podcaster James Cary explores the medium and how we should listen to them.

James is a writer of sit coms for BBC TV and Radio.

Two people sit cross-legged at a low table on which two microphones stand. One press a key on a laptop on the floor.
Photo by Kate Oseen on Unsplash.

During the pandemic, an Australian comedy show, At Home Alone Together on ABC, made a sketch that was widely shared on the internet, especially among podcasters. For those wondering what to do with their time, they had one clear, simple message given with typical Australian honesty: Do not start a f***ing podcast. 

I’ve encountered hostility to the idea of podcasts since I started listening to them fifteen years ago, when the main options were This American Life and Kermode and Mayo talking about movies. Both were podcast versions of existing excellent radio programmes. 

With every passing year, podcasts have become more popular, a huge boost coming in 2014 with the Serial podcast, which was a spin-off This American Life. People with iPhones were realising what the purple icon was, and they weren’t afraid to use it. 

 

Attention a zero-sum game. If you’re listening to something, you’re not listening to something else. Nobody wants their time wasted.

Many resisted. They didn’t really understand what podcasts were, where they came from, how to find them and what made them different from radio programmes. Merely mentioning podcasts would make people either roll their eyes, or far worse, causing what I would call “Podcast Derangement Syndrome”. We see that, albeit humorously, in the ABC sketch, urging people not to start a podcast. 

It’s a fair point. Don’t start a podcast out of boredom. It won’t last more than a few episodes (that’s called ‘podfading’), it won’t be any good and no one will listen as it’s not offering anything substantial or insightful.  

We live in an attention economy. Attention a zero-sum game. If you’re listening to something, you’re not listening to something else. Nobody wants their time wasted. Like a book proposal or an article, you need a clear offer to your listener or reader. 

For example, my own Sitcom Geeks podcast - which ended this month after 222 episodes over eight years – was all about helping people write better sitcom scripts. Yes, that’s a niche interest, but tens of thousands of people want to write sitcoms. 

Many podcasters never identify what they’re offering. They make the mistake of the first crop of bloggers twenty years ago, who started hammering out their error-strewn opinions on everything from politics to dieting. Most of these blogs were read by almost no one, and even the more popular ones didn’t have large numbers. Every medium is the same. Most books don’t sell more than a few dozen copies, particularly self-published ones. Most shows at this year’s Edinburgh Fringe will have an audience in the single digits. 

Podcasting is the same. My other podcast, Cooper and Cary Have Words, deals in lightly comic, theological conversation. Now on Episode 157, we have a fairly devoted listenership, but it’s small. I mention it not because I’m a tiresome podcaster who is forever promoting their podcast. Okay, it’s partly that. But I’m going to do the one thing podcasters never do, which is talk about how many people actually listen. And the numbers here might surprise you. 

Each episode of Cooper and Cary Have Words is usually downloaded by about 1,100 people within a week of dropping, and then another 1,100 within 90 days. So that 2,200 listeners, creeping up another few hundred over the following month. That’s not many, is it? Even late-night shows on BBC local radio playing outré jazz get more listeners by a factor of ten. 

Here’s the next surprise: these figures put Cooper and Cary Have Words into the top 5% of all podcasts in terms of listeners. The 4,500 downloads in the first seven days would put us in the top 1% which again, seems low. The two Seen & Unseen podcasts, Re-enchanting and Seen & Unseen Aloud, are doing well but everyone is dwarfed by the Joe Rogan Experience, which, according to Time Magazine, is experienced by 11 million people. 

But here’s the big statistic to keep in mind: 50% of podcast episodes get fewer than 30 downloads in the first week. 

This would give some justification, then, for a recent article in The Spectator by Sam Kriss who has the most chronic case of Podcast Derangement Syndrome I’ve encountered for a while. He begins by making curious comments about how podcasts are fake, including real ones, but his point is this: “nobody actually listens to any of them.” 

I understand the rage against a phenomenon. The media often confects a craze. When everyone was talking about Game of Thrones, it was fair to point out that this premium show on pay-TV was being watched by a truly tiny number of people. It’s just some of those people were people like TV critics for The Spectator or the BBC. 

Kriss then rather undermines his claim that no-one listens by saying “Sometimes people ask me which podcasts I listen to, and when I reply that these days I don’t really listen to any they react as if I’d said I don’t eat food or breathe air.” So, are those people lying about listening to podcasts? The Spectator has several podcasts. Are they a waste of time and money? 

“Podcasts are also, objectively, crap. I don’t say this lightly.” I think you do, Sam, but let’s take it at face value. The charge that many podcasts are acts of inane vanity is undoubtedly fair. Many others are well-meaning, but poorly recorded and unfocussed. 

This isn’t the 1930s when families might huddle around the wireless and give the BBC their undivided attention. 

But let us also remember that an awful lot of broadcast radio is highly disposable, being either inane links between songs on commercial radio, or punditry for the sake of it on talk radio, whether it’s BBC Radio 4 or TalkSport.  

There are some good podcasts, thought. What about them, Kriss? He says they’re not worth listening to unless you give them your undivided attention, explaining that if you’re listening to a podcast while doing something else, you’re not really taking in the content. This is not educating yourself, but merely acquiring an illusion of knowledge. 

But surely all audio works the same way? We’re listening to the radio or podcasts while we’re cooking, washing up or driving. This isn’t the 1930s when families might huddle around the wireless and give the BBC their undivided attention. 

Then comes a sentence which is revealing. Kriss has just told us that podcasts aren’t real, we don’t listen to podcasts anyway, and that we’re lying about it and when we do listen, we’re not learning anything when we do. We’re all idiots. He then writes,

“The people who make podcasts usually have a very dim view of their public.”

Oh, Sam. Thou dost project too much, methinks. 

We all like a rant. And we often like reading polemical pieces. We love a Clarkson, a Cowell and a Boycott sounding off. But I wonder if Sam Kriss, an established writer for a well-regarded publication has succumbed to the elitist mindset. It is tempting to disparage the voices of those from the outside who wish to speak, whether or not anyone wishes to listen. Thanks to smartphones and RSS feeds, they can, just as the blogs did two decades ago. 

The medium is new but the lesson is old. To whom do we listen? If you look at the life of Jesus it is striking how often he listened to the voices of the excluded, even when his own disciples and henchmen tried to bundle the blind and the embarrassing out of the way. Moreover, those that sought to control the flow of information were, to use theological jargon, ‘the baddies’. We live in age where all kinds of voices can be heard. The question is whether we wish to listen. 

Article
AI
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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