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AI promises efficiency, and it promises speed. It promises to cut through the noise of the internet and give us exactly what we want, exactly when we want it. No waiting, better results than ever before.

And, Google鈥檚 new AI Overviews, which provide instant summaries at the top of search results, are a perfect example of this. No more clicking through ten blue links, or opening three tabs just to compare coverage. Ask your question, and within seconds you have an AI-manufactured answer that is exactly what you were looking for.

No doubt about it, AI feels revolutionary, but it also raises an uncomfortable question 鈥� if AI can summarise everything, will anyone bother to read the news in full? And arguably more importantly, why should they?

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The Age of Instant Gratification

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The internet has always trained us to want things quickly. We want next-day deliveries and one-click checkouts. For heaven鈥檚 sake, we want television shows to be released all at once so we can binge them in a weekend.

Indeed, news consumption is no different. The rise of social media and mobile notifications means we鈥檝e become accustomed to bite-sized updates that inform us in seconds.

AI is simply the latest, and arguably most powerful, version of this. A story that might once have taken 600 carefully written words by a professional journalist with many years of experience is now distilled into three sentences by a machine. The temptation to treat that as 鈥渆nough鈥� is obvious, but how do we resist, and why should we?

Publishers are already seeing the consequences. According to DMG Media, reported click-through rates have fallen by as much as 89% since Google鈥檚 AI Overviews were introduced. For readers, it鈥檚 simple math 鈥� why waste time loading another page when the essential detail is sitting right in front of you, neatly packaged by an algorithm? No wasting time sifting through oodles of results, no organising your findings and no figuring out what鈥檚 accurate and what鈥檚 not.

This is instant gratification at its purest, but the difficulty is that convenience can come at a cost, and most of the time, it does.

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Efficiency Versus Understanding

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It鈥檚 worth asking what we lose when everything is boiled down into summaries. Summaries tell us what happened, but rarely do they explain why. And if they do, it鈥檚 quick and matter of fact, without much substance. They rarely capture the nuance, the competing perspectives and the human voices that make an issue complicated or important.Without those things, what are we really left with?

Consider something like international conflict, economic policy or climate change. A summary can provide an outline of the story 鈥� a battle took place, a policy was announced, a temperature record was broken. But, those outlines don鈥檛 equate to understanding. They don鈥檛 show the lived experience of the people affected, they don鈥檛 interrogate the motives of the decision-makers, and they don鈥檛 explore the trade-offs or the long-term consequences.

The paradox here is that AI is becoming almost too efficient. It gives the impression that reading further is unnecessary, that you already know enough, but at the same time, knowing enough to feel informed is not the same as actually being informed.

Don鈥檛 be fooled, this isn鈥檛 just a philosophical problem, it鈥檚 a practical one too. Democracies rely on citizens who have more than a surface-level grasp of issues, and economies depend on people making choices based on more than headlines. If the news becomes something we only skim through AI filters, we risk building a society of half-truths and shallow takes.

And the truth is, we already have too much of that in a world in which the full story is openly and readily available, and things aren鈥檛 great 鈥� what happens when we remove the substance we do have (or allow it to become less attractive)?

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The Economics of Attention

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There is also the question of sustainability. There鈥檚 no two ways around the fact that journalism is expensive. Investigative reporting, foreign correspondence and even local news coverage all require time, money and people. For decades, the implicit deal has been that search engines like Google drive traffic to publishers, who in turn monetise it through advertising or subscriptions.

But, AI Overviews change that deal. As David Higgerson, chief digital publisher at Reach (owner of the Mirror and Daily Express), told the BBC, publishers create the 鈥渁ccurate, timely, trustworthy content that basically fuels Google,鈥� but now Google is reducing the need for anyone to click through to it. The financial reward stays with the distributor, not the creator.

So, it鈥檚 not surprising that a coalition of publishers and advocacy groups filed a complaint to the UK鈥檚 Competition and Markets Authority earlier this year, accusing Google of 鈥渕isusing鈥� publisher content. The outcome remains uncertain, but the sentiment is clear 鈥� news organisations feel they are being hollowed out by the very platforms that rely on them.

And this matters for readers too. If publishers can鈥檛 sustain themselves, fewer stories will be written, and fewer investigations will be funded. We may get more summaries, but they鈥檒l become progressively less subtantial. The 鈥渆fficiency鈥� of AI could ultimately reduce the diversity and depth of information available in the first place. And, if that鈥檚 the case, efficiency won鈥檛 be more much.

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So, Why Read the Full Article?

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Often, AI-related conversations are centred on the idea that AI tech can do things the same, if not better, than old methods, but that people should still choose the 鈥渙ld school鈥� methods. But, nobody wants to ask the difficult quetion 鈥� that is, but why should they? Why should they want to do that? And in this context, why should anyone read the news in full when the summary is right there?

Well, as much as the question itself may seem pessimistive, there are actually several good answers.

First, because context matters. Summaries may be accurate, but they are rarely complete. Understanding a story fully often requires knowing what came before, what might come next and how the pieces connect. That only comes from reading beyond the surface and exploring multiple different opinions and persepctives from a range of different sources, and it鈥檚 important to know what these sources are.

Second, because human perspective matters. Journalism isn鈥檛 just about relaying facts it鈥檚 about framing them, questioning them and adding voices that AI can鈥檛 replicate. A machine may condense, but it can鈥檛 investigate corruption, interview witnesses or convey the tone of a courtroom (at least for now)

Third, because democracy matters. An informed public isn鈥檛 built on summaries. It鈥檚 built on depth, debate and disagreement. Choosing to read the full article is an act of citizenship as much as an act of curiosity, and the importance of this can鈥檛 be overstated.

Finally, because quality matters. If publishers can鈥檛 attract readers, their business models collapse. If we want journalism to exist tomorrow, it鈥檚 not enough to skim today. Supporting publishers by clicking through, subscribing or engaging directly is part of keeping the system alive.

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Beyond Efficiency

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AI is here to stay, whether we like it or not. The question isn鈥檛 whether we should use it 鈥� rather, it鈥檚 about how we should use it and how we should balance its efficiency with the deeper needs of society.

For readers, that means resisting the urge to settle for the fastest answer every time. For publishers, it means experimenting with new ways to build direct relationships through things like newsletters, podcasts, apps or communities where loyalty is stronger than convenience. For regulators, it means ensuring the platforms that profit from journalism also contribute fairly to its future.

Perhaps most of all, it requires recognising that efficiency is not the only goal worth pursuing. Sometimes, it鈥檚 worth spending five minutes with a full article instead of thirty seconds with a summary. Not because the summary is wrong, but because it鈥檚 just not good enough.

If AI can summarise everything, the challenge for all of us is to remember why we should still care to read more.