Comment: Labour’s conference message is of change – but will the public hear it?
As Labour embraces its first government term in 14 years, the challenges of public trust and fragmented expectations loom large—can Starmer transform rhetoric into reality?
Prime Minister Keir Starmer and Chancellor of the Exchequer, Rachel Reeves (Photo by Leon Neal/Getty Images)
By Sunder KatwalaSep 24, 2024
"Change begins" is the Labour party’s conference message in Liverpool. Sir Keir Starmer is the fifth new prime minister in nine years to talk about taking the country on a journey of change.
Much of the public tend to discount talk of change until they see it happen. The Labour party’s MPs and members are certainly not among those who see the moment as more of the same – with their party back in government for the first time in 14 years. Indeed, this is the first newly-arrived Labour government this century.
The mood in 2024 is strikingly different to that of 1997. The parliamentary landslide is of a similar scale and the rejection of the Conservatives was even more brutal this time around – but there the similarity largely ends. In 2024, while it was clear what voters wanted change from, what they wanted to change to was more fragmented and contingent. Labour’s campaign secured, with precision, every constituency that it was targeting, but did so while taking only a third of the national vote.
Tony Blair’s first summer in office saw his reputation soar into the stratosphere, partly through the role he played in navigating the emotional response to the death of Princess Diana.
The Blair-Brown government went on to have a honeymoon period for three years before any of the usual laws of political gravity began to apply again. The Starmer government is not yet three months old but, in these grittier times, any political honeymoon period is already over without ever having really begun.
One of the new government’s first big tests was the outbreak of rioting and racist violence after the killings in Southport. The focus on swift and visible justice did restore order. That secured broad public approval. Those who have responded to the policing and prosecution of incitement and violence with complaints about a two-tier justice system are a vocal minority, misled by a media eco-system and online bubble into believing they reflect the public mood.
But the new government has struggled to obtain the share of public voice that might be expected. Media reports about donated clothes, glasses and football tickets risk being more than a distraction to fill a vacuum. Fragile public trust in politics makes fatalism – that change is not just difficult, but impossible – a major risk for this government.
Governments have to take many decisions, big and small. There are half a dozen things this government has done that might cut through to the public – but without forming a coherent, narrative whole. It quickly settled public sector strikes in transport and the NHS; it scrapped the Rwanda plan; it had to let prisoners out early because the prisons are full; it has changed how Ofsted inspections are communicated to parents.
Chancellor Rachel Reeves announced the means testing of the winter fuel payment in isolation, ahead of other fiscal measures – such as probable tax changes on capital gains – in her forthcoming budget. This most visible early policy choice does not align with the overall message that those with the broadest shoulders will need to contribute most.
Delegates queue ahead of the keynote speech by Rachel Reeves, Chancellor of the Exchequer on day two of the Labour Party Conference 2024 at ACC Liverpool on September 23, 2024 in Liverpool, England. (Photo by Ian Forsyth/Getty Images)
The early focus on reinforcing what they had inherited from their predecessors sent a gloomy message that things were going to get worse before they got better. There is a conscious attempt in Liverpool – despite driving rain of almost Biblical proportions – to tell a more positive story about the destination too.
Starmer's core goal in Liverpool has been to refocus the public conversation on the purpose of his government. Five missions – on growth, rebuilding the NHS, shifting energy policy, reducing crime and spreading opportunity – are the prime minister's chosen device of what to prioritise. There is an effort to reorientate the government machinery around the missions. This conference had to begin to make the public case for change too.
There have already been efforts on the conference fringe to plot out the contours of the next general election. Can Labour recapture lost so-called “core voters” - including many minority, Muslim and young voters - and hold switchers too? Or will the party feel it has to choose who to appeal to? This may be mostly premature. There can rarely have been more “known unknowns” as to how far the next election will reflect the last one: including the performance of the government itself and the ability of the new Conservative leadership to restore its shattered brand. Will Nigel Farage have the stamina to stick around in Clacton – or will he find America more attractive?
Governments can act as well as talk. The government’s record on the economy, the NHS and the public realm will be central to its prospects of re-election. The public may not feel that Starmer ever offered them a honeymoon – but delivering on the challenge of change will determine whether his ambition for a decade of national renewal is cut short at half-time.
AI can make thousands of podcast episodes every week with very few people.
Making an AI podcast episode costs almost nothing and can make money fast.
Small podcasters cannot get noticed. It is hard for them to earn.
Advertisements go to AI shows. Human shows get ignored.
Listeners do not mind AI. Some like it.
A company can now publish thousands of podcasts a week with almost no people. That fact alone should wake up anyone who makes money from talking into a mic.
The company now turns out roughly 3,000 episodes a week with a team of eight. Each episode costs about £0.75 (₹88.64) to make. With as few as 20 listens, an episode can cover its cost. That single line explains why the rest of this story is happening.
When AI takes over podcasts human creators are struggling to keep up iStock
The math that changes the game
Podcasting used to be slow and hands-on. Hosts booked guests, edited interviews, and hunted sponsors. Now, the fixed costs, including writing, voice, and editing, can be automated. Once that system is running, adding another episode barely costs anything; it is just another file pushed through the same machine.
To see how that changes the landscape, look at the scale we are talking about. By September 2025, there were already well over 4.52 million podcasts worldwide. In just three months, close to half a million new shows joined the pile. It has become a crowded marketplace worth roughly £32 billion (₹3.74 trillion), most of it fuelled by advertising money.
That combination of a huge market plus near-zero marginal costs creates a simple incentive: flood the directories with niche shows. Even tiny audiences become profitable.
What mass production looks like
These AI shows are not replacements for every human program. They are different products. Producers use generative models to write scripts, synthesise voice tracks, add music, and publish automatically. Topics are hyper-niche: pollen counts in a mid-sized city, daily stock micro-summaries, or a five-minute briefing on a single plant species. The episodes are short, frequent, and tailored to narrow advertiser categories.
That model works because advertisers can target tiny audiences. If an antihistamine maker can reach fifty people looking up pollen data in one town, that can still be worth paying for. Multiply that by thousands of micro-topics, and the revenue math stacks up.
How mass-produced AI podcasts are drowning out real human voicesiStock
Where human creators lose
Podcasting has always been fragile for independent creators. Most shows never break even. Discoverability is hard. Promotion costs money. Now, add AI fleets pushing volume, and the problem worsens.
Platforms surface content through algorithms. If those algorithms reward frequency, freshness, or sheer inventory, AI producers gain an advantage. Human shows that take weeks to produce with high-quality narrative, interviews, or even investigative pieces get buried.
Advertisers chasing cheap reach will be tempted by mass AI networks. That will push down the effective CPMs (cost per thousand listens) for many categories. Small hosts who relied on a few branded reads or listener donations will see the pool shrink.
What listeners get and what they lose
Not every listener cares if a host is synthetic. Some care only about the utility: a quick sports update, a commute briefing, or a how-to snippet. For those use cases, AI can be fine, or even better, because it is faster, cheaper, and always on.
But the thing is, a lot of podcast value comes from human quirks. The long-form interview, the offbeat joke, the voice that makes you feel known—those are hard to fake. Studies and industry voices already show 52% of consumers feel less engaged with content. The result is a split audience: one side tolerates or prefers automated, functional audio; the other side pays to keep human voices alive.
When cheap AI shows flood the market small creators lose their edgeiStock
Legal and ethical damage control
Mass AI podcasting raises immediate legal and ethical questions.
Copyright — Models trained on protected audio and text can reproduce or riff on copyrighted works.
Impersonation — Synthetic voices can mirror public figures, which risks deception.
Misinformation — Automated scripts without fact-checking can spread errors at scale.
Transparency — Few platforms force disclosure that an episode is AI-generated.
If regulators force tighter rules, the tiny profit margin on each episode could disappear. That would make the mass-production model unprofitable overnight. Alternatively, platforms could impose labelling and remove low-quality feeds. Either outcome would reshape the calculus.
How the industry can respond through practical moves
The ecosystem will not collapse overnight.
Label AI episodes clearly.
Use discovery algorithms that reward engagement, not volume.
Create paywalls, memberships, or time-listened metrics.
Use AI tools to help humans, not replace them.
Industry standards on IP and voice consent are needed to reduce legal exposure. Platforms and advertisers hold most of the cards here. They can choose to favour volume or to protect quality. Their choice will decide many creators’ fates.
Three short scenarios, then the point
Flooded and cheap — Platforms favour volume. Ads chase cheap reach. Many independent shows vanish, and audio becomes a sea of similar, useful, but forgettable feeds.
Regulated and curated — Disclosure rules and smarter discovery reward listener engagement. Human shows survive, and AI fills utility roles.
Hybrid balance — Creators use AI tools to speed up workflows while keeping control over voice and facts. New business models emerge that pay for depth.
All three are plausible. The industry will move towards the one that matches where platforms and advertisers put their money.
Can human podcasters survive the flood of robot-made showsiStock
New rules, old craft
Machines can mass-produce audio faster and cheaper than people. That does not make them better storytellers. It makes them efficient at delivering information. If you are a creator, your defence is simple: make content machines cannot copy easily. Tell stories that require curiosity, risk, restraint, and relationships. Build listeners who will pay for that difference.
If you are a platform or advertiser, your choice is also simple: do you reward noise or signal? Reward signal, and you keep what made podcasting special. Reward noise, and you get scale and a thinner, cheaper industry in return. Either way, the next few years will decide whether podcasting stays a human medium with tools or becomes a tool-driven medium with a few human highlights. The soundscape is changing. If human creators want to survive, they need to focus on the one thing machines do not buy: trust.
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