AI startups believe Google's Chrome is vulnerable to a new wave of intelligent browsers
A flurry of AI startups are changing the way we search the web and in the process threatening Google's search dominance in the biggest way since its meteoric rise in the late '90s.
This week, Perplexity, a San Francisco-based startup most recently valued at $14 billion, launched its own AI-enabled web browser for select subscribers. OpenAI, the company behind ChatGPT, is also working on an AI web browser of its own, reported Reuters.
These AI web browsers directly aim at Google's dominance over search, especially through its popular Google Chrome web browser, and have the potential to upend the industry as we know it by reimagining the search experience, said Steve Jang, the founder and managing partner at Kindred Ventures, which was an early investor in Perplexity.
'Every tech cycle, everyone questions whether or not a new startup can—how can they possibly defeat or even get significant market share away from these legacy platforms, and they always do,' he told Fortune.
Perplexity's AI browser, Comet, for instance, comes with Perplexity's AI chatbot pre-installed to replace searches. It also includes an AI agent called Comet Assistant, which the company claims can automatically book a meeting or send an email, buy something for you, and brief you on what you need to know for the day.
The entry of these AI products may also be timely and could take advantage of a 'window of opportunity,' as Google faces an uncertain future thanks to the impending remedies resulting from its antitrust case, said Ari Paparo, a former director of product management of advertiser products at Google. One such remedy could include spinning off the Chrome web browser that the AI upstarts are trying to compete with.
Google didn't immediately respond to a request for comment.
Still, it's unclear how the search market will ultimately pan out as a result of the new entrants. Google Chrome, for its part, still has an advantage because of its established reach of more than 3 billion users, about 68% of the market, and the massive amount of user data it collects—then there's the friction involved with switching browsers, a challenge in itself.
But in terms of AI usage, OpenAI is already competing head-to-head with Google. Twenty-nine percent of consumers say they use OpenAI regularly, versus 30% who say they use Google's Gemini, according to a recent survey by Wedbush.
Paparo said the technology from AI web browsers needs to be significantly better to convince consumers to switch products.
'What is it that a browser from Perplexity or a browser from OpenAI will do that'll be 10 times better than what Google does? They already have search, they already have AI, they already have the browser. That's a pretty tough hill to climb,' Paparo told Fortune.
What's worse, the AI-enabled Comet, like most other AI platforms, is in some cases still prone to hallucinations, TechCrunch reported.
Still, Jang, the VC, said he is still confident the Perplexity team is set up to make major strides. Apart from Comet, the company has also previously launched a mobile app with voice capability and its own take on supercharged AI agents with Perplexity Labs.
While Google may be the giant in search, Perplexity is the eager upstart looking for an opening, he said.
'Monopolies in technology are great opportunities for startups, and by design they are meant to be attacked,' he added.
This story was originally featured on Fortune.com
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Motor Trend
10 minutes ago
- Motor Trend
The Future Of Porsche's Racing Tech Transfer to Street Cars? Software.
On April 12, 2025, Porsche made history, becoming the first automaker to win three classes of professional motorsports with three different powertrains on the same day. In California, a 963 hybrid won the LMDh class and took the overall win at the IMSA Long Beach Grand Prix while a 911 GT3 R won the GTD Pro class in the same race with pure combustion engine. Across the country, the 99X Electric won the Miami e-prix in Formula E on pure battery power. Different as they may be, each shares a common link with the Porsche road cars you can buy today and in the future. Porsche uses motorsport to drive tech innovation, focusing on software as the key to improving road cars. Software impacts drivability and efficiency, with lessons from racing series shared across projects. This approach is cost-effective and enhances both performance and development. This summary was generated by AI using content from this MotorTrend article Read Next Racing Technology for the Street 'We have a philosophy that, yes, motorsport is part of our DNA,' Porsche vice president of motorsport, Thomas Laudenbach, told MotorTrend , 'and I cannot imagine Porsche without motorsport, but we are not doing motorsport for the sake of its own. We do motorsport to give a contribution to the company, and this is exactly what we are talking about.' In the past, tech transfer from racing to the road consisted mostly of more power and better aerodynamics, but as everything on a car has become linked and controlled by computers, the next frontier is in the software that controls them. Hard parts like engines, suspension, and aerodynamics are fairly mature technologies, but automotive software is still in its relative infancy. 'It is still a very steep curve,' Laudenbach said. 'It's growing so fast, it's changing so fast…I mean, if you look at the combustion engine, obviously development [today] is slower like this because you know, it is more and more difficult to make the [next] step. If you look at the software, not only software itself, how we approach it, the tools…I would say [it is] still very steep, the curve, how fast it changes.' It's All in the Software In all three racing series, physical parts on the cars are heavily regulated, particularly when it comes to batteries and electric motors. Software, though, isn't and has become the most important factor in improving lap times and efficiency. 'Everything you can do on the software has a much bigger impact and a much bigger effect in the drivability,' Porsche Formula E driver and reigning champion, Pascal Wehrlein, told MotorTrend , 'because yeah, there's also software things in in a combustion engine, but the effect is just smaller than an electric car. We pay a lot of attention to the software and I would say that is our biggest toolbox for setting up the car and getting quicker and so on. And there's just so many more things you can do on the software compared to a combustion engine. 'How much we are going into the details,' he continued, 'into the smallest details, I would say on the software side is even more than what I did when I was in Formula One, just because there are so many different options on, you know, the four-wheel drive, how to set up the four-wheel drive. How much work do you want to have at the front? At which point in time in the corner you want to have more front torque or less? What you can do on the braking side, on the [energy] recuperation, setting it up for different corners? In certain corners, where it's high speed, you need something different than in the low-speed corner, but then also when the track is bumpy, or not bumpy. We are going so much into the details.' Lauderbach agrees. 'It's absolutely right. We always love about talking about hardware. And I did develop combustion engines for 18 years, so I'm a real mechanical guy, and it's absolutely right, probably the bigger part is software. And but this is the good thing about it because some things [physical] we are not allowed to touch [under the regulations]. But we have a big freedom of software, and I think that's good because racing should give freedom where it is beneficial also for your brand. And that's certainly in software and I think this is probably also the biggest change between the projects.' Because the applications are so different, it's not as simple as just sharing code between teams in different series or with the engineers working on the road cars. Instead, it's the exchange of knowledge and ideas which brings this tech to cars like the 911 GTS T-hybrid. 'It's for sure not a carryover part,' Laudenbach said, 'but it's from learning about the difficulties, about the weak points, about the solutions, for sure they benefit from each other. 'When you have more than one project,' he said, 'you just work it on in a wider range and then you always find synergy. These two programs (Formula E and LMDh) benefit from each other in various areas. And at the same time, this is linked so close to our road car development. We work a lot on road cars as well in the motorsport department and do benefit from each other. If you tell your engineers, oh, please sit together with these guys from this program, then you know what they do? They sit together for an hour, they chat, and they go to it. If you sit side by side, if you meet each other with a coffee, this is the best way to benefit from each other. These two programs benefit, but also this is very beneficial to what we do on road cars, even inside the motorsport department.' It's not just about making the cars faster, either. Power makes heat, and heat needs to be dealt with before it breaks things, on a race car or a road car. Efficiency matters in racing because using less fuel or electricity allows you to go farther between pit stops, and it matters for the same reason on the street. 'Look at Formula E,' Laudenbach said. 'It's not our battery, but we control the thermal system [and] energy management. That's a lot of control systems. That's a lot of software. I mean, if we work with AI in the meantime and there you can learn a lot of the one side and transfer it to the other. Sometimes then you figure out that, okay, I can only take this because this [other technology] is not allowed. It's never carry over one to one. 'But you still learn a lot about how to handle it. It's software functions, it's control systems, it's sometimes also just the tools that we use, the approach that you take is not always [about] the final product. In the end, you have the product, there, no matter if it's software, hardware, but it's also, how do you approach it, because you're always looking for being most efficient. Especially Formula E, [where] we have a cost cap. It's a factor to say, okay, can I reach a certain goal with the smallest amount of money? These kind of things we always exchange because it's in the background.' Cheaper and Easier Not only are software learnings easier to transfer between programs, software is also easier to iterate on and less expensive to develop. 'Compared to hardware,' he said, 'it's not that cost intensive. Yes, you have you have the labor. But you know, you' not always having to change your bits and pieces. And don't forget, if you talk about bits and pieces, you always have to stop and throw parts away. So it's a lot more, let's say, cost efficient.' Whether in the office or trackside, the way data is managed and analyzed has changed a lot in the past decade. 'If we would do it like 10 years ago,' Lauderbach said, 'where the engineer himself goes through all the raw data, that doesn't work anymore. You got to feed your data through automatic analysis. It's just more [a question of], how do you analyze? How do you get something out in order to make the car quicker? This is a lot more or this is high sophisticated, a lot more automation and algorithms, than 10 years ago. 'It's a software basically to calculate what the car's doing because you got sensors. Obviously, you want to calculate some figures, you see what the car's doing in order to feature simulations. The simulation then gives you back again in which direction you have to go.'
Motor Trend
10 minutes ago
- Motor Trend
Rivian Is Integrating Google Maps Into Its Native Navigation Software
Fresh off major upgrades to its R1S SUV and R1T pickup, Rivian is now set to launch a software update of its onboard navigation system to include Google Maps data—both for the new vehicles it's producing and its existing customer cars. This isn't simply Google Maps like the app on your phone, however. Leveraging Google's Automotive SDK, Rivian has, in effect, overlaid its existing navigation experience over that of Google Maps, taking advantage of the internet giant's superior "routing, estimated time of arrivals, traffic updates, search capabilities, and satellite imagery," as Rivian put it, in order to further augment its own in-house "EV-friendly navigation features." Rivian is updating its R1S SUV and R1T pickup navigation systems to integrate Google Maps, blending Google's routing, traffic, and imagery with Rivian's EV-specific features. The update includes a new interface and extends to the Rivian Mobile App, rolling out starting tomorrow. This summary was generated by AI using content from this MotorTrend article Read Next In other words, Rivian's navigation system will now blend Google's superior mapping capabilities with its proprietary charging information, including estimated range and battery capacity remaining at your destination, route planning, real-time charging info, and more. In addition, Rivian skins the whole interface in its own design, a new version of which will also debut with the Google Maps update. Even better, Rivian says the update will extend to its Rivian Mobile App (a 2025 MotorTrend Best Tech award winner), which benefits from Google-like photos and descriptions of searched destinations, as well as satellite map views and real-time traffic data. As before, users can send trips and navigation destinations from the app to their Rivians, and now they'll be able to use the "share" function via Google Maps to do the same. The rollout of the new Google-augmented system is imminent—Rivian says it'll begin doing so as soon as tomorrow via an over-the-air update for every all-electric R1S SUV and R1T pickup it has sold to date, and it will come already equipped with every new model it sells.
CNET
12 minutes ago
- CNET
Your OnePlus 13 Will Get a Dedicated AI 'Mind Space' in Update Rolling Out Now
It's a non-negotiable right now that every phone-maker out there must have a plan for integrating AI into its devices. OnePlus is a little late to the party, but it's arrived nonetheless. Back in May, the company announced plans for bringing its own vision of personalized AI to OnePlus phones, and from this week, it's rolling out to the OnePlus 13 and 13R. At a launch event in London earlier this year I not only got to see the first AI features to land on OnePlus phones in action, but also learn about what the company's future plans are for bringing more complex and sophisticated AI features to its phones down the road. With all Android phone-makers increasingly making use of best-in-class Qualcomm chips and relying on Google's Gemini AI, having a strong AI strategy is one way they can set themselves apart from rivals. I was impressed with how far OnePlus seems to be thinking ahead and not rushing into going ham on AI. Its initial AI rollout will likely capture people's attention, even if its ideas aren't entirely original. The OnePlus 13's upcoming "Mind Space." Katie Collins/CNET OnePlus' statement AI tool is called Plus Mind, which can save, suggest, store and search based on what's currently on your phone screen, ultimately depositing the details in an app OnePlus is calling "Mind Space." Plus Mind can be activated at any time, either by a dedicated button (if your phone has one) or by a swipe-up gesture. If it spots details of an event or reservation, it will propose creating a calendar entry. Mind Space is a place to "organize your fragmented memories," said Arthur Lam, the company's director of OxygenOS and AI strategy. This is a hub where all of your most important content will live. AI search will allow you to find what you need without the information overload you may be used to, or it will automatically translate content into another language to make it accessible and searchable. Plus Mind will debut with the upcoming launch of the OnePlus 13S, a phone designed specifically for the Asian market, which comes with a dedicated AI button (the "Plus Key," as OnePlus is calling it) on the side of the phone. That means for those of us in the US and Europe, we'll have to wait a little longer to enjoy OnePlus' vision for AI ourselves. It will eventually be rolling out to the OnePlus 13 as an over-the-air update later this year, although the company is yet to confirm exactly when. The Plus Key on the OnePlus 13S. Katie Collins/CNET Plus Mind and Mind Space: My first impressions On the OnePlus 13, which shipped before the addition of the Plus Key, you instead have to use a three-fingered swipe up from the bottom edge of the screen to activate the AI features. When I tested this in person, it was hit or miss as to whether I could get it to work. There's definitely a knack to it -- you need to start from a couple of centimeters above the lower rim -- and there's a high chance of accidentally displacing what's on the screen. It's clear that OnePlus designed Plus Mind to be used with a dedicated button, and no doubt all future OnePlus phones will feature a Plus Key of their own. It is a shame in retrospect, though, that the key is missing from its most widely available 2025 flagship phone. After using Plus Mind to save a variety of content, I had mixed opinions on how useful it was. The process of capturing and creating events out of details displayed on screen was seamless, and I found that I was able to use natural language within Mind Space to pull up the details of these events after the fact. But when saving articles I thought were interesting, Mind Space wasn't able to provide a summary of the entirety of what I'd been reading -- only of the specific text that was on screen at the time I activated Plus Mind. OnePlus' natural language search within Mind Space worked well for me. Katie Collins/CNET I also struggled to organise the content into collections within Mind Space. This is a manual process, rather than a situation in which the AI takes over to categorize everything you've saved. This feels a little like a missed opportunity. Like other Android phone makers, OnePlus has the benefit of tapping into the best of Google's Gemini phone tools, while also choosing what additional features it wants to bring to its phones to make them stand apart from its competitors. That said, its initial foray into AI with Mind Space is bound to draw comparisons to what Nothing is doing with Essential Space -- its own dedicated hub for saving content, snippets, links and reminders. What's next for OnePlus AI? Plus Mind and Mind Space are just the first part of OnePlus' three-stage AI strategy. Next up is integrating a large language model into Plus Mind, allowing your phone to understand your habits to create a "persona" it uses to understand you. "It will help you understand yourself," said Lam, and could even help you discover something "surprising" or "enlightening" about yourself. Stage 3 is when OnePlus plans to go full AI agent, turning into a personal assistant that can know everything about you. But the company's not quite there just yet. In the meantime it has a few other ideas in the pipeline. Coming first to India (again, not the EU or the US), are AI VoiceScribe, which will provide you with a quick summary after your call on WhatsApp, Snapchat or Telegram, and AI Call Assistant, which provides you with in-call translation in both text and voice. On the more playful side, OnePlus is introducing two AI photo tools. The first, AI Best Face 2.0, will allow you to correct the faces of up 20 people in a group photo so that everyone is looking their best (if they have their eyes closed, for example, or what OnePlus describes as a "suboptimal expression"). AI Reframe, meanwhile, will analyze your carelessly shot holiday snaps and suggest creative cropping and framing to make it look like you weren't three cocktails deep when you shot them. These photo features will be come to OnePlus phones this summer, but for the major OnePlus AI tool rollout, you might have to wait a little longer.
