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Everyone Predicted Google's Death in 2024, Google Hit 95% Market Share Instead

Google AI Search Evolution Pavel Danilyuk Pexels

Remember when ChatGPT launched and everyone predicted Google’s search empire would crumble? Yeah, about that. Here’s the reality check nobody saw coming. A massive new report from Datos, a Semrush company, just analyzed billions of desktop searches from millions of users across the US and Europe. The data reveals an unexpected AI search evolution: Google isn’t just surviving the revolution, it’s absolutely crushing it with a 95% market share in both regions.

And as for all those headlines about OpenAI killing Google with ChatGPT’s search features? Turns out they were way off base.

AI Was Supposed to Win. It Didn’t.

Don’t get me wrong. ChatGPT and its AI buddies have definitely made an impact. Usage has nearly tripled over the past year. More than 30% of US desktop users and over 40% of Europeans are now using ChatGPT. Tools like Gemini, Claude, and Perplexity have their loyal fans too.

On the surface, it sounds like Google might have just lost 30-40% of its users to AI. But here are some numbers to put it into perspective: AI tools only make up about 1.3% of total browsing activity.

Despite every tech pundit on Twitter declaring that AI would replace Google, it barely makes a dent in how people actually search for stuff online. AI isn’t replacing traditional search at all. It’s just another tool in your digital toolbox. You might ask ChatGPT to help you debug some code or brainstorm ideas. Then you’ll hop over to Google’s AI Mode to find that new Thai restaurant or check if your favorite shoes are on sale.

The Zero-Click Problem Nobody’s Talking About

Okay, so Google’s not dead. However, it does have one major issue that publishers are grappling with. Zero-click searches.

Almost 27% of Google searches now end without anyone clicking anything. This is up from 24.4% just a year ago. People are getting their answers right there on the search results page and calling it a day.

For anyone running a website or trying to drive traffic, this is kind of scary. You’ve done all your SEO homework, you put in the effort into crafting the best articles. All this just so you could rank number one on Google. But then you still get zero visitors because Google just answered the question itself. And the worst part is that these answers might have been scraped from your own website.

Google’s AI Overviews feature is a big part of this. These AI-generated summaries now show up in over 13% of searches, and that number keeps climbing. Some estimates say they could appear in more than 80% of informational searches soon.

In August, Google straight up denied that AI search was hurting website traffic. Publishers weren’t buying it. Multiple reports showed traffic tanking, especially for news sites, but Google said everything was fine.

Reddit Is the Real Disruptor

But if you really want to know what’s actually shaking up the search game, it’s not some fancy AI tool. It’s an oldie but goodie: Reddit.

The community-driven platform has absolutely exploded in popularity. It’s overtaken Facebook in desktop visits in the US and is catching up fast in Europe. Reddit now sits comfortably in the top five destinations people reach from search engines, right alongside YouTube, Amazon, Wikipedia, and Facebook.

This is because people are tired of reading polished, SEO-optimized garbage that tells them nothing useful. When you Google “best budget laptop Reddit,” you’re saying loud and clear that you want real opinions from real people, not some affiliate marketing nonsense. Reddit got so valuable that Google paid them $60 million for access to their data to train AI models.

This is actually a fascinating turnaround. In the past, websites strived to provide readers with neutral commentary and let them make the decisions themselves. But now? We’re missing the human touch so much that sometimes diving deep into an echo chamber like Reddit might yield more interesting (and controversial) opinions and perspectives that traditional websites might not have.

AI Can’t Kill What It Can’t Replace

While AI is stealing traffic from some sites, it’s completely failing to disrupt others.

YouTube remains untouchable. It’s the top destination from traditional search in both the US and Europe. It’s also the second-most visited site from AI tools.

But why can’t AI touch video content? Because watching someone actually do something is way more valuable than reading about it. You can’t replace a 10-minute tutorial on fixing your sink with a text summary. Try learning a new dance move from ChatGPT. Good luck with that.

This reveals something important about what AI is actually disrupting. Sites offering basic, factual, “evergreen” content are getting hammered. Wikipedia, for example, lost 5% of its human traffic year over year while bots and scrapers grew massively. Stack Overflow, Chegg, and similar Q&A sites are bleeding traffic.

But platforms offering fresh perspectives, community discussions, and video content? They’re actually thriving. YouTube’s citation rate in AI answers jumped from 37% to 54%. Reddit gets mentioned by ChatGPT as often as it gets cited. These platforms offer something AI can’t replicate: real human experiences and visual demonstrations.

The New Rules for Surviving AI Search

So, what does this mean for anyone trying to drive traffic or build an audience? It’s time to toss out the old playbook and start writing a new one. Creating generic “what is” articles and “how to” guides used to be a solid strategy. Now? AI just scrapes that content, summarizes it, and nobody ever visits your site.

Some publishers are already shifting their strategy. Instead of cranking out evergreen content that AI can easily replicate, they’re focusing on what AI can’t steal: original research, unique data, customer stories, and fresh perspectives that haven’t been said a million times before.

Think about it this way: ChatGPT can tell you what SEO is. But at the same time, it can’t tell you about the weird bug you just discovered in Google Search Console this morning. AI can explain Reddit. But can it spill the tea unfolding in your favorite subreddit right now?

From what we’ve gathered, the content that survives is either too specific for AI to care about, too fresh for AI to have learned yet, or too personality-driven for AI to replicate. As for everything else? Well, you might think of it like roadkill on the information superhighway.

We’ve Seen This Panic Before

The fear and resistance around AI search evolution isn’t new. We’ve watched this exact movie play out before.

There are strong parallels between how traditional artists reacted to the rise of digital art and how some content creators today feel about AI-generated content. When digital art first emerged, many traditional artists felt threatened, dismissed it as “cheating,” or questioned its legitimacy as “real art” because it offered new tools and shortcuts that made certain aspects of creation easier or faster.

Now, doesn’t that sound familiar?

Early reactions to digital art in the 2000s mirror today’s AI anxiety perfectly. Traditional artists viewed digital tools with skepticism, often calling it “not real art” because it lacked the physicality and manual skill associated with traditional mediums. Some artists felt that digital tools made art creation too easy, reducing the perceived value of the artist’s effort and skill. There was intimidation, as digital art allowed for rapid production and easy corrections, which contrasted with the more labor-intensive and irreversible nature of traditional art.

Just as digital art was once seen as a threat to traditional art, AI-powered search tools are now viewed by some as a threat to traditional websites and publishers. Both faced backlash for being labeled as “cheating” or “not legitimate,” often due to misunderstandings about the creative process and the skills required.

Over time, digital art gained acceptance as artists and audiences recognized that it required its own unique set of skills and creative decisions, much like traditional art. A similar evolution is happening with AI search right now. The tools aren’t replacing the craft. Instead, they’re expanding what’s possible.

So What’s the Verdict?

Google’s 95% market share isn’t going anywhere. ChatGPT’s search tools didn’t kill traditional search. They just gave us another option.

The real story of this AI search evolution isn’t about AI destroying Google. It’s about how we’re all learning to use multiple tools for different jobs. You’ve got Google for quick facts and finding stuff. You can also use ChatGPT for brainstorming and complex questions. Then, you can always hop on Reddit for real opinions, and finally, YouTube for how-tos.

Some things obviously need to be addressed. Zero-click searches are forcing websites to completely rethink their strategy. Generic content is dead, and community platforms and video are winning.

As for the AI revolution everyone predicted, it feels more like a gentle evolution in search. The reality is less dramatic than the headlines suggested, but way more interesting when you look at how people actually use the internet now.

So, maybe the future of search isn’t about one platform winning. It’s about all of them carving out their own space. Now, it’s up to content creators learning which types of content are worth making in an AI-powered world.

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Apple Pays $1.1 Billion in Tariffs Amid Trump Administration Trade Policies

tim cook

Apple, for now, seems to have earned the favor of the Trump administration. The company, through some deft political maneuvering, has managed to escape the brunt of the tariffs and taxes the Trump administration plans on imposing. However, it is not 100% exempt. In fact, during the latest Apple earnings call, CEO Tim Cook revealed how much in tariffs the company had to pay.

How much in tariffs did Apple pay?

According to Cook, Apple had to pay $1.1 billion in tariffs in the most recent quarter. This is an increase of $300 million from the $800 million in the previous quarter. However, Cook had previously warned that this increase was coming. In the previous quarter, the CEO cautioned investors that the impact of the tariffs would be felt more in the September 2025 quarter.

Why is that? This is because September is when Apple announces its latest iPhones. It is also when the company is expected to sell the most products. With tariffs, the more you import, the more taxes you pay, so this number doesn’t come as a surprise. In fact, Cook had previously estimated that it would be around $1.1 billion, and he was right.

But here’s the thing: if you thought it would go down the next quarter, it won’t. According to Apple CFO Kevan Parekh, he says that the tariffs the company can expect to pay in the December 2025 quarter could reach $1.4 billion. This means that in total, Apple would be paying a little over $3 billion in tariffs for 2025 alone. Unless the countries affected by these tariffs negotiate better rates with the Trump administration, that’s a huge chunk of change for Apple to be paying.

But what does this mean for consumers?

To a certain extent, companies are willing to absorb some costs on behalf of consumers. This isn’t necessarily driven by goodwill, but price sensitivity. If the price goes up too much, consumers will stop buying. So it’s better for a company to take a slight hit on profit if it means continued sales.

But like we said, $3 billion is no small amount. As rich as Apple is, we’re sure that $3 billion is an amount the company would rather spend or invest into something else. If the company were to be forced to keep blowing that kind of cash on tariffs alone, eventually it would pass the buck onto its customers.

At the start of the year, the Bank of America predicted that Apple might have to raise its iPhone prices by 10% to help mitigate these tariffs. For the most part, Apple has managed to maintain the price of its latest iPhone 17 models. There were some increases, like with the iPhone 17 Pro, but users got higher base storage.

We’re not sure what Apple’s plans are for the iPhone 18 series, but at this rate, you should prepare your wallets.

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Samsung & NVIDIA Join Forces to Build AI 'Super-Chip' Megafactory

AH Samsung Logo (5)

Samsung is one of the few companies in the world that are largely self-reliant. The company makes a lot of components in-house. We’re talking about memory chips and semiconductors. They even have factories to help others make semiconductors. Now, Samsung is taking things to the next level by building an AI megafactory with the help of NVIDIA.

Meet Samsung’s AI megafactory

The facility will deploy more than 50,000 NVIDIA GPUs across Samsung’s manufacturing operations. It will also embed AI into every step of the process. This includes semiconductor design, processing, equipment operation, and quality control. The goal here is to make chip production faster, smarter, and more efficient through real-time analysis and optimization.

The Samsung AI megafactory will use NVIDIA’s Omniverse platform to create digital twins of its facilities. For those unfamiliar with the concept of digital twins, these are essentially virtual replicas of physical fabs. By creating a virtual replica, Samsung can simulate and test changes before implementing them in real life. This helps with predictive maintenance, spotting problems early, and planning operations more effectively.

Samsung is also working with NVIDIA on GPU-accelerated chip design tools alongside partners like Synopsys and Cadence. These tools speed up the design process significantly, with computational lithography performance getting a 20x boost using NVIDIA’s cuLitho library. Shorter development cycles mean better chips reaching the market faster.

Going beyond chips

The partnership extends beyond semiconductor manufacturing. Samsung will use NVIDIA’s RTX PRO 6000 Blackwell Server GPUs to power intelligent robotics in mobile device production. This will help to enable real-time AI reasoning and automate task execution.

Both companies are also advancing AI-RAN technology, which integrates AI into mobile networks. This is crucial for the next generation of AI-powered robots, drones, and industrial machinery that need real-time processing at the network edge.

While Samsung doesn’t have the same reputation when it comes to semiconductors compared to TSMC, leveraging the use of AI to make its manufacturing process smarter and more efficient could help. The company has typically struggled with its yields. This has resulted in companies like Qualcomm turning to TSMC for its chip production. Perhaps with the use of AI, Samsung might finally be able to turn things around.

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OpenAI Sora Adds New Character Cameos for AI-Generated Videos

OpenAI Sora 2 AI video generation model featured

One of the features of OpenAI’s Sora was the ability to add cameos. This is basically an AI-generated version of yourself that you can insert into the videos to make it more “believable.” But now, OpenAI has announced a new feature for Sora that lets you add other characters into the video.

OpenAI Sora now supports new characters in videos

In a post on X, OpenAI revealed that character cameos in videos are now coming to Sora. This means that in addition to inserting yourself in videos, you can select from other characters as well. These characters can include pets, illustrations, or toys. In fact, to get users started, OpenAI is launching a selection of pre-made characters that are ready to go.

According to OpenAI, “Once created, each character comes with its own permissions, separate from your personal likeness: keep it just for yourself, share it with mutual followers, or open it to everyone on Sora. Give your character a display name and handle, and tag it whenever you want it to appear in a video.”

OpenAI actually announced plans for additional character cameos last week. This was part of the company’s upcoming update to the app, which would also see OpenAI finally bring it over to Android after it enjoyed a bout of iOS exclusivity. However, do take note that Sora is still invite-only. This means that you’ll have to put your name on a waitlist to be notified. We’re not sure how long before OpenAI opens it up to everyone, so we’ll have to wait and see.

However, we wouldn’t be surprised if it takes a while for general access to happen. AI already consumes a lot of resources, even when it comes to text-based prompts and responses. So, we imagine that generating videos on the fly will be even more resource-intensive. This might explain why OpenAI isn’t so eager to open the floodgates just yet.

The deepfake dilemma

As cool as Sora is, we can’t help but feel that these types of apps only serve to further the problem of deepfakes. In the past, even when these apps weren’t that convincing, many people were already getting fooled. So, imagine that AI has progressed to the point where it’s so believable, the type of chaos it could cause.

OpenAI is trying to mitigate this by inserting a Sora watermark in videos made using the app. However, we imagine that it probably won’t be too hard to digitally remove them. Or users could just crop the video to hide it. In any case, the next time you watch a video on social media, maybe go in with a healthy dose of skepticism.

Introducing character cameos, now available in the Sora app. pic.twitter.com/k1R4FdCRPV

— OpenAI (@OpenAI) October 29, 2025

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Apple Lawsuit Reveals Payment Details Between Jon Prosser and Ramacciotti

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By now, most of you have probably heard that Apple has filed a lawsuit against popular YouTuber and leakster, Jon Prosser. This lawsuit is over the leaks of iOS 26, which Prosser revealed in his own mockups ahead of Apple’s official reveal. Prosser has maintained that he did not plot to access the device. Now, new court documents in the Apple lawsuit reveal the payment details between Prosser and Michael Ramacciotti.

Apple court documents show payment details between Prosser and Ramacciotti

According to recently published court documents in the lawsuit, it revealed payment details between Prosser and Ramacciotti, the other person that is also being sued by Apple.

The court documents reveal that Prosser offered to pay Ramacciotti $650 after the FaceTime call. It also stressed that there was no prior promise or agreement for payment. This contradicts Apple’s initial claim, where the company alleges that Prosser “promised” payment if Ramacciotti could get him access to the Development iPhone.

For those unfamiliar, at that time, Ramacciotti was living with a former Apple employee, Ethan Lipnik. Lipnik had on his person a Development iPhone with an early prototype of iOS 26. At some point in time, Ramacciotti managed to gain access to the phone and unlock it. He then made a FaceTime call to Prosser to show off the early design of iOS 26. Prosser then took that information and had his own mockups made based on what he saw.

Eventually, this led to Apple filing a lawsuit against Prosser over the leaks. However, like we said, Apple’s lawsuit alleged that both parties had somehow plotted to make this happen, with Prosser promising Ramacciotti payment for his efforts. Now, these court documents are saying otherwise.

How’s the lawsuit progressing?

Apple has filed lawsuits against both Prosser and Ramacciotti, but both are progressing at different speeds. Ramacciotti had requested for two extensions to respond to Apple’s complaint. Prosser, on the other hand, missed the deadline. This resulted in Apple requesting the court to enter default against him.

We’re not sure why Prosser missed the deadline. However, in a recent update, the YouTuber said that he has been in “active communications” with Apple since the beginning. We all know that Apple does not take leaks lightly. We saw what happened when Gizmodo managed to get their hands on a prototype of the iPhone 4.

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Apple’s Upgraded Siri Will Finally Arrive in 2026 — After Years of Waiting

Apple Intelligence Siri Logo

Remember when Apple announced Apple Intelligence last year? Remember what a disaster that was? During WWDC 2024, Apple showcased a ton of cool features. The problem was that these features were mostly conceptual, as we later found out. Important features and features that users actually wanted, like an upgraded Siri, was nowhere to be found. But that will change in 2026, which is when the upgraded Siri will finally arrive.

Upgraded Siri is coming in 2026

Speaking to MSNBC, Apple CEO confirmed that a new and upgraded Siri will arrive in 2026. Cook said that the company is making “good progress” on the new Siri, and that it is on track to arrive next year. However, we’re not sure if we have to wait for iOS 27, or if the upgraded Siri will arrive as part of an iOS 26 update.

Also, when asked if Apple has plans to integrate other AI models with Siri, Cook said that there are plans to do so over time. As it stands, OpenAI’s ChatGPT is the only non-Apple AI model to feature integration in iOS. There have long been rumors that Apple and Google could work together to bring Gemini integration to iOS. However, despite those rumors, nothing has happened to date.

Apple needs to step up its AI game

That being said, we’re still a bit skeptical about this upgraded Siri. Sure, the demo videos were cool, but will it actually work that way in real life? For those who remember, Siri also had a somewhat impressive demo, but in reality, it fell way short of expectations. It eventually led to a lawsuit over misleading claims.

Then there’s the issue with Apple Intelligence. We would have had higher hopes if Apple Intelligence wasn’t such a joke. It can barely get the basics right, let alone more complex tasks. If that’s the state of Apple’s AI efforts, we’re not holding our breaths. 

We’ve heard rumors that Apple could be eyeing a potential acquisition of Perplexity to bolster its AI efforts. So far, nothing has happened yet. However, it’s not a bad idea. Apple has the resources, but for some reason it’s not making the same headway in AI compared to smaller startups. Maybe just buying the technology outright is the smarter play.

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Foldable Phones Lose More Resale Value Than Regular Smartphones

Google Pixel 10 Pro Fold AM AH 17

How often would you say you upgrade your phone? If you upgrade it every year or every other year, one good way to get rid of your old phone would be to either sell it off or trade it in. This will help offset the cost of your new phone. However, if you are planning to get a foldable, note that these phones will not hold as much resale value compared to traditional smartphones.

Foldable phones lose resale value

According to a recent report by SellCell, it found that when it comes to foldable phones, its resale value does not hold up quite as well compared to traditional phones. The report claims that foldables actually lose up to 15.4% more resale value.

The report claims on average, foldable devices lose about 62.3% of their value in the first 6 months. But how does this compare to regular smartphones? SellCell estimates that regular phones lose about 49.8% of its value in the first 6 months. This means not only do you spend more on a brand new foldable, but you won’t recoup as much if you do decide to sell it off.

Interestingly enough, Samsung’s foldables experience the steepest decline. The report says Samsung phones see a 63.7% loss in value in the first 6 months. This is compared to other foldables, like Google’s Pixel Fold series, which loses about 58.1% of its value. But if we’re looking at which foldable brand holds its value the best, that would go to OnePlus. While the company hasn’t released a new foldable in a while, the OnePlus Open lost 55.2% of its value in the first 6 months.

But why is it?

It’s not hard to see why foldable phones lose their value faster than regular phones. One of the main concerns when buying a secondhand smartphone is battery life. Second would be the overall condition of the phone, like if there are scratches to the body, display, and camera lens. Other than that, there’s really not too much else that you need to be bothered about.

However, foldables are a different story. You have those concerns, but now you have to wonder about the overall durability of the display. This is because the displays of foldables have a finite lifespan when it comes to opening and closing them. You also don’t know if the original user took care not to press on the crease, or if dust and debris got caught in the hinge.

Ultimately, this means you’d be taking on a bigger risk buying a refurbished foldable. However, if you are curious about foldables, furbished models are a less expensive way to see if the form factor is for you. Also, based on SellCell’s report, you might be able to find one that’s at a lower-than-expected price.

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