By CEO Sam Altman’s own admission, OpenAI’s deal with the Department of Defense was “definitely rushed,” and “the optics don’t look good.”

After negotiations between Anthropic and the Pentagon fell through on Friday, President Donald Trump directed federal agencies to stop using Anthropic’s technology after a six-month transition period, and Secretary of Defense Pete Hegseth said he was designating the AI company as a supply-chain risk.

Then, OpenAI quickly announced that it had reached a deal of its own for models to be deployed in classified environments. With Anthropic saying it was drawing red lines around the use of its technology in fully autonomous weapons or mass domestic surveillance, and Altman saying OpenAI had the same red lines, there were some obvious questions: Was OpenAI being honest about its safeguards? Why was it able to reach a deal while Anthropic was not?

So as OpenAI executives defended the agreement on social media, the company also published a blog post outlining its approach.

In fact, the post pointed to three areas where it said OpenAI’s models cannot be used — mass domestic surveillance, autonomous weapon systems, and “high-stakes automated decisions (e.g. systems such as ‘social credit’).”

The company said that in contrast to other AI companies that have “reduced or removed their safety guardrails and relied primarily on usage policies as their primary safeguards in national security deployments,” OpenAI’s agreement protects its red lines “through a more expansive, multi-layered approach.”

“We retain full discretion over our safety stack, we deploy via cloud, cleared OpenAI personnel are in the loop, and we have strong contractual protections,” the blog said. “This is all in addition to the strong existing protections in U.S. law.”

The company added, “We don’t know why Anthropic could not reach this deal, and we hope that they and more labs will consider it.”

After the post was published, Techdirt’s Mike Masnick claimed that the deal “absolutely does allow for domestic surveillance,” because it says the collection of private data will comply with Executive Order 12333 (along with a number of other laws). Masnick described that order as “how the NSA hides its domestic surveillance by capturing communications by tapping into lines *outside the US* even if it contains info from/on US persons.”

In a LinkedIn post, OpenAI’s head of national security partnerships Katrina Mulligan argued that much of the discussion around the contract language assumes “the only thing standing between Americans and the use of AI for mass domestic surveillance and autonomous weapons is a single usage policy provision in a single contract with the Department of War.”

“That’s not how any of this works,” Mulligan said, adding, “Deployment architecture matters more than contract language […] By limiting our deployment to cloud API, we can ensure that our models cannot be integrated directly into weapons systems, sensors, or other operational hardware.”

Altman also fielded questions about the deal on X, where he admitted it had been rushed and resulted in significant backlash against OpenAI (to the extent that Anthropic’s Claude overtook OpenAI’s ChatGPT in Apple’s App Store on Saturday). So why do it?

“We really wanted to de-escalate things, and we thought the deal on offer was good,” Altman said. “If we are right and this does lead to a de-escalation between the DoW and the industry, we will look like geniuses, and a company that took on a lot of pain to do things to help the industry. If not, we will continue to be characterized as […] rushed and uncareful.”

For the better part of the past half a decade, Windows laptops have had a recurring identity crisis. You could either get absurd performance, or you could buy great battery life. Getting both at the same time wasn’t always accessible, and you often would have to make compromises with fan noise, heat, standby drain, or the kind of “why is it warm in my bag?” behavior MacBook owners never had to worry about.

Now, the next-gen silicon is changing the story. Intel’s next wave (Panther Lake) is being positioned as a major efficiency and AI platform swing. Right alongside it, we have AMD’s Ryzen AI series chips that lean into on-device AI while still delivering the kind of performance per-watt that remains competitive with MacBooks. All of this makes it seem like Windows laptops have finally found their moment.

But that’s also what makes the timing feel awkward for Microsoft. Just as the hardware started to clean itself up, Windows PCs are getting squeezed from multiple angles: price hikes, memory costs, and a muddled “AI-first” sales pitch.

The best Windows laptop era is here (and it’s not because of Copilot)

With the latest processors like the Intel Core Ultra Series 3, it actually feels like Windows laptops are getting their act together. It’s not just that the benchmarks look good. The entire trajectory looks right. While Intel’s Panther Lake lineup and AMD’s new Ryzen AI series are pushing the “AI PC” narrative, they’re also delivering the kind of performance that makes thin-and-light laptops feel less compromised.

And this matters because Windows laptops have been stuck in an awkward loop for years. You either buy a thin-and-light laptop and live with mediocre performance, or buy something blazing fast and accept that carrying a bulky charger is part of the lifestyle.

So the most interesting thing happening in Windows laptops right now isn’t Copilot. It’s the fact that Intel, AMD, and Qualcomm are all chasing the same endgame: high performance without the battery tax. Processors like the Snapdragon X2 Plus, in particular, bring efficiency gains that rival MacBooks. But just when things were looking good, there was a shadow looming over the PC market — and even the brands are worried.

RAM-POCALYPSE is real, and it’s making everything worse

Here’s the part that turns the whole “Windows laptops are finally getting good again” story into a headache: memory pricing is becoming the real final boss. We can talk about Panther Lake, Ryzen AI, and Snap0dragon all day, but if PC components like RAM and storage get stupid expensive, it doesn’t matter how efficient the silicon is. The platform is improving while the value collapses.

This memory supply crunch has already kneecapped the market, and the numbers are wild. DDR5 memory has risen by around 500% in some cases, which is the kind of spike that doesn’t just nudge the laptop prices upward but reshapes what brands feel comfortable shipping as “baseline” configs. Even after 16GB became the standard in mid-range laptops, this could push 16GB back into “premium-only” territory and drag affordable models down to 8GB again.

AMD, which typically positions itself as the “value option”, is also acknowledging the squeeze. So yeah, the chipmakers might finally be delivering those low-powered performance improvements that Windows laptops have needed for ages. But if RAM pricing keeps spiraling, it risks turning away buyers who are already frustrated with having to pay more money for worse configurations and a higher entry cost just to get something that feels future-proof.

The MacBook comeback tour, now with a budget opener

And then there’s Apple, delivering a sharp hook to an already ailing opponent. The “wrong time for Microsoft” argument gets sharper once you zoom out and look at the market momentum Apple’s been building. Macs have quietly been climbing once again, after a brief period of stagnation. Apple’s notebooks seem like the default safe bet for a lot of buyers who care about reliability, performance, and battery life.

To make matters worse for Windows, Apple is reportedly preparing a lower-cost MacBook that could hit the shelves sometime in the first half of 2026. It is still Apple after all, so this won’t magically compete with true entry-level Windows laptops. But if Apple lands this anywhere near the $700 range, Windows OWMs are facing a nasty pressure point as they are already dealing with rising component costs and a messy AI-PC branding era.

So… is it the wrong time for Microsoft?

It might be.

Not because Windows laptops are doomed — the silicon progress is real, and it’s finally hitting the places users care about. But this momentum is arriving in the middle of a perfect storm:

• AI messaging that’s confusing instead of compelling.
• Rising component prices, like RAM and storage, are becoming a tax on buying new hardware.
• A resurgent MacBook lineup that still owns the “easy recommendation” title.

The entire industry may have to ride out the storm for calmer waters. If Microsoft wants this to be the era where Windows laptops truly feel fixed, it needs to focus on the one thing it truly controls: Windows. Because chipmakers can fix performance-per-watt, but only Microsoft can fix what the platform feels like day to day.

Right now, “AI PC” is being sold as a badge, not a benefit. And when prices are rising, and configs are getting weird, buyers need clarity more than hype. Satya Nadella, CEO of Microsoft, said it best: “We will quickly lose even the social permission…” if AI isn’t improving real outcomes.

A new online movement calling for users to cancel ChatGPT subscriptions has quickly gone mainstream, and it all traces back to a controversial new partnership between OpenAI and the U.S. Department of Defence. The deal allows OpenAI’s models to be deployed inside classified government networks, a move that has sparked backlash across social media and tech communities.

The controversy intensified when rival AI company Anthropic refused to accept similar terms from the Pentagon, citing concerns about mass surveillance and autonomous weapons. The company risked losing a major government contract rather than loosen its safeguards, drawing praise from critics of military AI.

That contrast quickly fueled the “Cancel ChatGPT” trend. Some users say they are cancelling subscriptions in protest, accusing OpenAI of compromising ethical principles by working with the military.

The real debate is about military AI, not just one company

The backlash is not simply about one contract. It reflects a broader and growing tension around how AI should be used in defence, intelligence, and surveillance. OpenAI says its Pentagon deal includes safeguards that ban domestic mass surveillance, autonomous weapons, and high-stakes automated decisions, with Sam Altman arguing that working with governments helps shape responsible AI use.

Critics remain wary, however, noting that laws like the Patriot Act could allow surveillance programs to expand over time. The debate has also spread inside the tech industry itself. As reported by Axios, more than 200 employees from Google and OpenAI signed an open letter urging stronger limits on military AI use, showing how divided even AI workers are on the issue.

For everyday users, this moment marks a turning point in how AI companies are viewed, as ethical concerns shift from abstract debates to real-world government partnerships and national security. Whether the “Cancel ChatGPT” movement lasts or fades, the conversation around AI is clearly changing from what these tools can do to where their boundaries should be.

Anker has unveiled the Soundcore Space 2 headphones at MWC 2026, updating one of its most popular product lines. The move builds directly on the success of the Soundcore Space One and Space One Pro, two headphones that became well-known for delivering surprisingly strong active noise cancellation and features at prices far below flagship competitors.

With Space 2, Anker is not reinventing the formula. Instead, it is refining the parts that made the previous models so appealing while adding smarter features and better comfort for daily use.

Smart sound, expanded codec support, and flexible ANC

The headline upgrade is improved adaptive active noise cancellation, which uses atmospheric pressure and sensor feedback to dynamically adjust how aggressively it blocks ambient sound. This means it can handle both constant background noise and sudden changes, like a passing bus or a loud announcement, more responsively than before.

On the audio side, Anker has expanded codec support meaningfully. In addition to SBC and AAC, the Space 2 now supports Sony’s LDAC, allowing up to 96 kHz / 990 kbps high-resolution Bluetooth audio when paired with compatible sources. As for the battery, with ANC on, Space 2 promises up to 40 hours per charge, and up to 60 hours with ANC off, rivalling much more expensive flagships. There’s also the added convenience of fast charging, giving hours of playback from just a short top-up.

Anker has also introduced Soundcore’s “Seamless AI Noise Cancelling Engine,” which combines adaptive filters with spatial awareness to improve focus on human voices and reduce unwanted background layers. This extends to call quality as well, with multiple mics and AI-enhanced voice pickup aiming to make calls clearer in real-world conditions.

The Space 2 also adds premium touches like spatial audio, multi-point Bluetooth connectivity, and an updated companion app for EQ and ANC customisation. As for comfort, redesigned earcups and improved ergonomics aim to keep long listening sessions comfortable.

The Soundcore Space 2 will be available in three colours: Linen White, Jet Black, and Seafoam Green. It is set to go on sale globally starting April 21 via Amazon and Soundcore’s website, priced at $129.99 in the US, £129.99 in the UK, and €129.99 across Europe.

Investors have been pouring billions into AI companies over the past few years, as the technology continues to hold sway in the Valley and thus the world. But not all AI companies are grabbing investor attention.

Indeed, even as it seems every company these days is rebranding to include “AI” in its name, some startup ideas are just no longer in favor with investors. TechCrunch spoke with VCs to learn what investors aren’t looking for in AI software-as-a-service startups anymore.

Popular SaaS categories for investors now include startups building AI-native infrastructure, vertical SaaS with proprietary data, systems of action (those helping users complete tasks), and platforms deeply embedded in mission-critical workflows, according to Aaron Holiday, a managing partner at 645 Ventures. 

But he also gave a list of companies that are considered quite boring to investors these days: Startups building thin workflow layers, generic horizontal tools, light product management, and surface-level analytics — basically, anything an AI agent can now do. 

Abdul Abdirahman, an investor at the firm F Prime, added that generic vertical software “without proprietary data moats” is no longer popular, and Igor Ryabenky, a founder and managing partner at AltaIR Capital, went deeper on that point. He said investors aren’t interested in anything, really, that doesn’t have much product depth. 

“If your differentiation lives mostly in UI [user interface] and automation, that’s no longer enough,” he said. “The barrier to entry has dropped, which makes building a real moat much harder.” 

New companies entering the market now need to build around “real workflow ownership and a clear understanding of the problem from day one,” he said.  “Massive codebases are no longer an advantage. What matters more is speed, focus, and the ability to adapt quickly. Pricing also needs to be flexible: rigid per-seat models will be harder to defend, while consumption-based models make more sense in this environment.” 

Jake Saper, a general partner at Emergence Capital, also had thoughts on ownership. To him, the differences between Cursor and Claude Code are the “canary in the coal mine.” 

“One owns the developer’s workflow, the other just executes the task,” Saper continued. “Developers are increasingly choosing the execution over process.” 

He said any product dealing with “workflow stickiness” — meaning trying to attract as many human customers as possible to continuously use the product — might find themselves in an uphill battle as agents takeover the workflow.

“Pre-Claude, getting humans to do their jobs inside your software was a powerful moat, but if agents are doing the work, who cares about human workflow?” he told TechCrunch.

He also thinks integrations are becoming less popular, especially as Anthropic’s model context protocol (MCP) makes it easier than ever to connect AI models to external data and systems. This means someone doesn’t need to download multiple integrations or build their own customer integrations; they can just use the MCP. 

“Being the connector used to be a moat,” Saper said. “Soon, it’ll be a utility.”

Also, no longer en vogue include the “workflow automation and task management tools that enable the coordination of human work become less necessary if, over time, agents just execute the tasks,” Abdirahman said, citing examples, mainly public SaaS companies whose stocks are down as new AI-native startups arise with better, more efficient technology. 

Ryabenky said the SaaS companies struggling to raise right now are the ones that can easily be replicated, he said.

“Generic productivity tools, project management software, basic CRM clones, and thin AI wrappers built on top of existing APIs fall into this category,” he said. “If the product is mostly an interface layer without deep integration, proprietary data, or embedded process knowledge, strong AI-native teams can rebuild it quickly. That is what makes investors cautious.”

Overa, what remains attractive about SaaS is depth and expertise, with tools embedded in critical workflows. He said companies should right now look into integrating AI deeply into their products and update their marketing to reflect that, Ryabenky continued.

“Investors are reallocating capital toward businesses that own workflows, data, and domain expertise,”  Ryabenky said. “And away from products that can be copied without much effort.” 

Lenovo can make a robot, too. Alongside proof-of-concept foldable gaming PCs and modular laptops, it introduced the AI Workmate Concept at MWC 2026. With its own Intel Core Ultra processor, 64GB of memory and its own Pico projector, it’s an AI-laced “workmate” meant to streamline office tasks and collaboration. And it has an LCD face.

For now, it’s a proof of concept, musing on how to integrate voice commands and LLMs (large language models) into workplace settings. It’s meant to sit on your desk, but preferably also near a wall – more on that later.

Voice commands aside, the concept bot supports writing, voice and gestures with on-device AI processing. While it can answer the usual voice assistant questions, it can also scan and summarize documents (both digitally and physically) and even assist with creating a PowerPoint presentation – though you might want to check its work.

The 3.4-inch 480 x 480 screen doesn’t seem to offer any data visualization or numbers. During my demo, it only seemed to show the bot’s eyes and facial expressions: it’ll sip coffee as it listens (with a moustache), cup a floating hand to the side of its face when it needs you to repeat a command, or twinkle when it’s processing more complicated tasks, like that fictional PowerPoint presentation.

With its articulated head, which houses the projector, cameras and LCD face, you can ask it to project images or documents on either the desk in front of it or a wall nearby. No need to flip around your monitor or laptop to share with colleagues. In one example, a spokesperson asked for a postcard. The Workmate then projected a (Lenovo-branded) image of Barcelona onto the desk. The rep laid paper down, then signed the ‘postcard’ and got the robot to scan it (with two downward-facing 5-megapixel cameras), and then send the file to a nearby printer.

In theory, this sort of flow could transition to document signing or adding notation to images and files. However, one caveat here is whether those of us who work in offices want the extra workplace noise of a chatty robo and the person barking orders at it.

Lenovo says this concept (and it has a few at MWC) is meant to demonstrate the company’s “exploration of spatial and physical AI experiences” that integrate “seamlessly into professional environments.” Hopefully, further evolutions offer a text-based way to make using it a little less noisy.

Lenovo was also showing a simpler AI work device, the AI Work Companion Concept. It’s a completely different premise, despite the name being a little too close to the AI Workmate Concept.

The AI Work Companion is not a robot, but a handsome chunky desk clock, with a solid, satisfying dial on the top and programmable buttons. The front is almost entirely display, able to show calendars, task lists and other work-centric dashes. It runs independently, plugging into a USB-C port for power and pulling data down wirelessly, while also acting as a port hub for charging other accessories and devices.

It’s certainly not as high-concept as the robot, but there are some AI smarts inside.

The Work Companion’s “Thought Bubble” uses AI to sync a user’s tasks and daily schedule across devices, synthesizing a daily action plan. It will even suggest times to break up bursts of work and attempt to monitor screen time to better manage burnout.

According to the press release, Lenovo says it also has “playful interactions with the user” and will, kind of bleakly, offer an end-of-week celebration report of tasks completed. It’s lucky it’s a good-looking desk clock.

Social community platform Discord is preparing to require users to verify their age by the second half of 2026, and users are concerned about the privacy of uploading a government ID or face scan to the network. While users can still access most features without verification, many remain uneasy giving more information to a company that suffered a breach last year that exposed the IDs of around 70,000 users. 

For some users, this is motivation enough to seek out alternative platforms that prioritize security, privacy, or simply offer a different experience. Here’s a look at the most promising Discord alternatives, from open-source and secure options to voice-first platforms built for hardcore gamers. 

Stoat

Stoat (formerly Revolt) stands out as the closest Discord alternative in both design and usability. As an open-source project, it gives users more control over their data and appeals to those who value privacy and transparency. Overall, the platform is fairly easy for Discord users to pick up, offering similar text and voice channels as well as community servers. 

However, Stoat is a relatively new platform (launched in 2021), and still faces growing pains. Recently, it experienced server capacity issues and the occasional lag during user surges. Feature support isn’t yet on par with Discord’s, and onboarding can be slow at times, especially when the platform’s popularity spikes. For those willing to trade a bit of stability for increased privacy, though, Stoat could be worth a try.

Element

For users who prioritize privacy and control above all else, Element offers a compelling alternative. Built on the decentralized Matrix protocol, Element enables users to self-host servers, maintain end-to-end encryption, and federate with other Matrix-based services. This ensures that no single company controls your data. 

While the setup and interface require a bit more technical savvy than Discord’s, Element is a good choice for users who value secure, decentralized communication.

TeamSpeak

If your primary need is high-quality, low-latency voice chat, TeamSpeak is the best alternative to Discord. While it remains popular among competitive gamers for its superior audio and private server hosting, its text chat and media sharing are quite basic. It’s also missing built-in video calls as well as emojis and gifs. So if you don’t mind not having as many features, it’s great for voice-centric groups that don’t need all the bells and whistles.

Similar to Stoat, TeamSpeak has experienced a surge in new users, prompting the platform to expand its hosting capacity. In February, TeamSpeak introduced two new regions for community creation: “Frankfurt 3” and “Toronto 1.”

Mumble

Mumble is a free, open-source voice chat application. Like TeamSpeak, it provides high-quality, low-latency audio and allows users to host and customize their own servers. However, its interface is outdated and lacks some of the features found in Discord, making it more ideal for hardcore gamers focused on voice chat rather than community building through video calls, media sharing, or screen sharing.

Discourse

Those who prefer long-form, organized discussions over rapid-fire chat may find Discourse more appealing. As an open-source forum platform, Discourse supports threaded discussions, making it ideal for educational groups, professional teams, and communities that value in-depth conversation. However, users looking for instant messaging, voice, and casual group chats may find it less familiar than Discord.

Slack, Microsoft Teams, Signal, or WhatsApp

Other notable mentions include Slack and Microsoft Teams, which serve well for professional and productivity-focused communication. Signal is also a top choice for those who want end-to-end encryption and privacy. Meanwhile, WhatsApp also offers free messaging and group voice calls, though it’s not designed for gaming or large communities.

What to know about age verification on Discord 

Discord recently announced that it will soon implement age verification measures aimed at creating a safer environment, particularly for its younger users. This initiative is designed to ensure users meet the necessary age requirements to access certain features and communities on the platform. Users may be required to verify their age through various methods, which could involve submitting an ID, completing a facial age estimation, or using a credit card. 

By default, all users will experience a “teen-appropriate” setting, and only those verified as adults will have the ability to modify certain settings or access age-restricted content. Adults will be required to verify their status to unblur sensitive content and to access channels and servers designated for an older audience. 

After recent backlash, Discord postponed the official launch to the latter half of 2026, adding that 90% of users will not require age verification and can continue using the platform without changes, as many users do not engage with age-restricted content. The platform initially planned to roll out age verification in March. 

Security researchers have disclosed a high-severity vulnerability dubbed “ClawJacked” in the popular AI agent OpenClaw that allowed a malicious website to silently bruteforce access to a locally running instance and take control over it.

Oasis Security discovered the issue and reported it to OpenClaw, with a fix being released in version 2026.2.26 on February 26.

OpenClaw is a self-hosted AI platform that has recently surged in popularity for enabling AI agents to autonomously send messages, execute commands, and manage tasks across multiple platforms.

According to Oasis Security, the vulnerability is caused by the OpenClaw gateway service binding to localhost by default and exposing a WebSocket interface.

Because browser cross-origin policies do not block WebSocket connections to localhost, a malicious website visited by an OpenClaw user can use JavaScript to silently open a connection to the local gateway and attempt authentication without triggering any warnings.

While OpenClaw includes rate limiting to prevent brute-force attacks, the loopback address (127.0.0.1) is exempt by default, so local CLI sessions are not mistakenly locked out.

The researchers found that they could brute-force the OpenClaw management password at hundreds of attempts per second without failed attempts being throttled or logged. Once the correct password is guessed, the attacker can silently register as a trusted device, as the gateway automatically approves device pairings from localhost without requiring user confirmation.

“In our lab testing, we achieved a sustained rate of hundreds of password guesses per second from browser JavaScript alone,” explains Oasis.

“At that speed, a list of common passwords is exhausted in under a second, and a large dictionary would take only minutes. A human-chosen password doesn’t stand a chance.”

With an authenticated session and admin permissions, the attacker can now interact directly with the AI platform, dumping credentials, listing connected nodes, stealing credentials, and reading application logs.

Oasis says this could allow an attacker to instruct the agent to search messaging histories for sensitive information, exfiltrate files from connected devices, or execute arbitrary shell commands on paired nodes, effectively resulting in full workstation compromise triggered from a browser tab.

Oasis shared a demonstration of this attack, showing how it could be used to steal sensitive data through the OpenClaw vulnerability.

Oasis reported the issue to OpenClaw, including technical details and proof-of-concept code, and it was fixed within 24 hours of disclosure.

The fix tightens WebSocket security checks and adds additional protections to prevent attackers from abusing localhost loopback connections to brute-force logins or hijack sessions, even if those connections are configured to be exempt from rate limiting.

Organizations and developers running OpenClaw should update to version 2026.2.26 or later immediately to prevent their installations from being hijacked.

With OpenClaw’s massive popularity, security researchers have been focusing on identifying vulnerabilities and attacks targeting the platform.

Threat actors have been seen abusing the “ClawHub” OpenClaw skills repository to promote malicious skills that deploy infostealing malware or trick users into running malicious commands on their devices.

Malware is getting smarter. The Red Report 2026 reveals how new threats use math to detect sandboxes and hide in plain sight.

Download our analysis of 1.1 million malicious samples to uncover the top 10 techniques and see if your security stack is blinded.

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Anthropic’s Claude has surged past ChatGPT on the App Store charts, marking one of the most dramatic shakeups yet in the consumer AI race. As reported first by CNBC, Claude jumped to the top download spots shortly after controversy erupted around AI partnerships with the U.S. Department of Defence.

The timing has raised eyebrows across the tech industry. While AI app rankings often shift based on new features or marketing pushes, this spike appears tied to public reaction and growing debate around how AI companies work with governments. The result: a sudden wave of interest in alternatives. The surge highlights how quickly public perception can influence the AI market. Just months ago, ChatGPT dominated the charts almost uncontested. Now, the rankings are becoming far more competitive.

A controversy-fueled download boost

The rise of Claude appears closely linked to the broader debate over AI’s role in defence and national security. Reports say the recent Pentagon-related controversy sparked heightened public scrutiny, pushing many users to explore alternative AI tools.

Anthropic’s positioning has played a role here. The company has repeatedly emphasised strict usage policies that prohibit domestic surveillance and lethal autonomous weapons. That message has resonated with some users looking for reassurance about how AI is deployed. At the same time, the spike in downloads shows how quickly public trust and brand perception can shift in the AI space. In fact, it has given rise to the “Cancel ChatGPT” trend on social media, which has further amplified public discussion around AI ethics and government partnerships.

Claude’s rise shows that the AI chatbot market is no longer dominated by a single player, as users now have multiple strong options and are willing to switch based on sentiment and trust. Technical performance alone is no longer enough, and transparency & public confidence matter just as much, making the AI leaderboard more volatile than ever.