Mark Zuckerberg, chief executive officer of Meta Platforms Inc., left, arrives at federal court in San Jose, California, US, on Tuesday, Dec. 20, 2022.
David Paul Morris | Bloomberg | Getty Images
Toward the end of 2022, engineers on Meta’s team combating misinformation were ready to debut a key fact-checking tool that had taken half a year to build. The company needed all the reputational help it could get after a string of crises had badly damaged the credibility of Facebook and Instagram and given regulators additional ammunition to bear down on the platforms.
The new product would let third-party fact-checkers like The Associated Press and Reuters, as well as credible experts, add comments at the top of questionable articles on Facebook as a way to verify their trustworthiness.
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But CEO Mark Zuckerberg’s commitment to make 2023 the “year of efficiency” spelled the end of the ambitious effort, according to three people familiar with the matter who asked not to be named due to confidentiality agreements.
Over multiple rounds of layoffs, Meta announced plans to eliminate roughly 21,000 jobs, a mass downsizing that had an outsized effect on the company’s trust and safety work. The fact-checking tool, which had initial buy-in from executives and was still in a testing phase early this year, was completely dissolved, the sources said.
A Meta spokesperson did not respond to questions related to job cuts in specific areas and said in an emailed statement that “we remain focused on advancing our industry-leading integrity efforts and continue to invest in teams and technologies to protect our community.”
Across the tech industry, as companies tighten their belts and impose hefty layoffs to address macroeconomic pressures and slowing revenue growth, wide swaths of people tasked with protecting the internet’s most-populous playgrounds are being shown the exits. The cuts come at a time of increased cyberbullying, which has been linked to higher rates of adolescent self-harm, and as the spread of misinformation and violent content collides with the exploding use of artificial intelligence.
In their most recent earnings calls, tech executives highlighted their commitment to “do more with less,” boosting productivity with fewer resources. Meta, Alphabet, Amazon and Microsoft have all cut thousands of jobs after staffing up rapidly before and during the Covid pandemic. Microsoft CEO Satya Nadella recently said his company would suspend salary increases for full-time employees.
The slashing of teams tasked with trust and safety and AI ethics is a sign of how far companies are willing to go to meet Wall Street demands for efficiency, even with the 2024 U.S. election season — and the online chaos that’s expected to ensue — just months away from kickoff. AI ethics and trust and safety are different departments within tech companies but are aligned on goals related to limiting real-life harm that can stem from use of their companies’ products and services.
“Abuse actors are usually ahead of the game; it’s cat and mouse,” said Arjun Narayan, who previously served as a trust and safety lead at Google and TikTok parent ByteDance, and is now head of trust and safety at news aggregator app Smart News. “You’re always playing catch-up.”
For now, tech companies seem to view both trust and safety and AI ethics as cost centers.
Twitter effectively disbanded its ethical AI team in November and laid off all but one of its members, along with 15% of its trust and safety department, according to reports. In February, Google cut about one-third of a unit that aims to protect society from misinformation, radicalization, toxicity and censorship. Meta reportedly ended the contracts of about 200 content moderators in early January. It also laid off at least 16 members of Instagram’s well-being group and more than 100 positions related to trust, integrity and responsibility, according to documents filed with the U.S. Department of Labor.
Andy Jassy, chief executive officer of Amazon.Com Inc., during the GeekWire Summit in Seattle, Washington, U.S., on Tuesday, Oct. 5, 2021.
David Ryder | Bloomberg | Getty Images
In March, Amazon downsized its responsible AI team and Microsoft laid off its entire ethics and society team – the second of two layoff rounds that reportedly took the team from 30 members to zero. Amazon didn’t respond to a request for comment, and Microsoft pointed to a blog post regarding its job cuts.
At Amazon’s game streaming unit Twitch, staffers learned of their fate in March from an ill-timed internal post from Amazon CEO Andy Jassy.
Jassy’s announcement that 9,000 jobs would be cut companywide included 400 employees at Twitch. Of those, about 50 were part of the team responsible for monitoring abusive, illegal or harmful behavior, according to people familiar with the matter who spoke on the condition of anonymity because the details were private.
The trust and safety team, or T&S as it’s known internally, was losing about 15% of its staff just as content moderation was seemingly more important than ever.
In an email to employees, Twitch CEO Dan Clancy didn’t call out the T&S department specifically, but he confirmed the broader cuts among his staffers, who had just learned about the layoffs from Jassy’s post on a message board.
“I’m disappointed to share the news this way before we’re able to communicate directly to those who will be impacted,” Clancy wrote in the email, which was viewed by CNBC.
‘Hard to win back consumer trust’
A current member of Twitch’s T&S team said the remaining employees in the unit are feeling “whiplash” and worry about a potential second round of layoffs. The person said the cuts caused a big hit to institutional knowledge, adding that there was a significant reduction in Twitch’s law enforcement response team, which deals with physical threats, violence, terrorism groups and self-harm.
A Twitch spokesperson did not provide a comment for this story, instead directing CNBC to a blog post from March announcing the layoffs. The post didn’t include any mention of trust and safety or content moderation.
Narayan of Smart News said that with a lack of investment in safety at the major platforms, companies lose their ability to scale in a way that keeps pace with malicious activity. As more problematic content spreads, there’s an “erosion of trust,” he said.
“In the long run, it’s really hard to win back consumer trust,” Narayan added.
While layoffs at Meta and Amazon followed demands from investors and a dramatic slump in ad revenue and share prices, Twitter’s cuts resulted from a change in ownership.
Almost immediately after Elon Musk closed his $44 billion purchase of Twitter in October, he began eliminating thousands of jobs. That included all but one member of the company’s 17-person AI ethics team, according to Rumman Chowdhury, who served as director of Twitter’s machine learning ethics, transparency and accountability team. The last remaining person ended up quitting.
The team members learned of their status when their laptops were turned off remotely, Chowdhury said. Hours later, they received email notifications.
“I had just recently gotten head count to build out my AI red team, so these would be the people who would adversarially hack our models from an ethical perspective and try to do that work,” Chowdhury told CNBC. She added, “It really just felt like the rug was pulled as my team was getting into our stride.”
Part of that stride involved working on “algorithmic amplification monitoring,” Chowdhury said, or tracking elections and political parties to see if “content was being amplified in a way that it shouldn’t.”
Chowdhury referenced an initiative in July 2021, when Twitter’s AI ethics team led what was billed as the industry’s first-ever algorithmic bias bounty competition. The company invited outsiders to audit the platform for bias, and made the results public.
Chowdhury said she worries that now Musk “is actively seeking to undo all the work we have done.”
“There is no internal accountability,” she said. “We served two of the product teams to make sure that what’s happening behind the scenes was serving the people on the platform equitably.”
Twitter did not provide a comment for this story.
Advertisers are pulling back in places where they see increased reputational risk.
According to Sensor Tower, six of the top 10 categories of U.S. advertisers on Twitter spent much less in the first quarter of this year compared with a year earlier, with that group collectively slashing its spending by 53%. The site has recently come under fire for allowing the spread of violent images and videos.
The rapid rise in popularity of chatbots is only complicating matters. The types of AI models created by OpenAI, the company behind ChatGPT, and others make it easier to populate fake accounts with content. Researchers from the Allen Institute for AI, Princeton University and Georgia Tech ran tests in ChatGPT’s application programming interface (API), and found up to a sixfold increase in toxicity, depending on which type of functional identity, such as a customer service agent or virtual assistant, a company assigned to the chatbot.
Regulators are paying close attention to AI’s growing influence and the simultaneous downsizing of groups dedicated to AI ethics and trust and safety. Michael Atleson, an attorney at the Federal Trade Commission’s division of advertising practices, called out the paradox in a blog post earlier this month.
“Given these many concerns about the use of new AI tools, it’s perhaps not the best time for firms building or deploying them to remove or fire personnel devoted to ethics and responsibility for AI and engineering,” Atleson wrote. “If the FTC comes calling and you want to convince us that you adequately assessed risks and mitigated harms, these reductions might not be a good look.”
Meta as a bellwether
For years, as the tech industry was enjoying an extended bull market and the top internet platforms were flush with cash, Meta was viewed by many experts as a leader in prioritizing ethics and safety.
The company spent years hiring trust and safety workers, including many with academic backgrounds in the social sciences, to help avoid a repeat of the 2016 presidential election cycle, when disinformation campaigns, often operated by foreign actors, ran rampant on Facebook. The embarrassment culminated in the 2018 Cambridge Analytica scandal, which exposed how a third party was illicitly using personal data from Facebook.
But following a brutal 2022 for Meta’s ad business — and its stock price — Zuckerberg went into cutting mode, winning plaudits along the way from investors who had complained of the company’s bloat.
Beyond the fact-checking project, the layoffs hit researchers, engineers, user design experts and others who worked on issues pertaining to societal concerns. The company’s dedicated team focused on combating misinformation suffered numerous losses, four former Meta employees said.
Prior to Meta’s first round of layoffs in November, the company had already taken steps to consolidate members of its integrity team into a single unit. In September, Meta merged its central integrity team, which handles social matters, with its business integrity group tasked with addressing ads and business-related issues like spam and fake accounts, ex-employees said.
In the ensuing months, as broader cuts swept across the company, former trust and safety employees described working under the fear of looming layoffs and for managers who sometimes failed to see how their work affected Meta’s bottom line.
For example, things like improving spam filters that required fewer resources could get clearance over long-term safety projects that would entail policy changes, such as initiatives involving misinformation. Employees felt incentivized to take on more manageable tasks because they could show their results in their six-month performance reviews, ex-staffers said.
Ravi Iyer, a former Meta project manager who left the company before the layoffs, said that the cuts across content moderation are less bothersome than the fact that many of the people he knows who lost their jobs were performing critical roles on design and policy changes.
“I don’t think we should reflexively think that having fewer trust and safety workers means platforms will necessarily be worse,” said Iyer, who’s now the managing director of the Psychology of Technology Institute at University of Southern California’s Neely Center. “However, many of the people I’ve seen laid off are amongst the most thoughtful in rethinking the fundamental designs of these platforms, and if platforms are not going to invest in reconsidering design choices that have been proven to be harmful — then yes, we should all be worried.”
A Meta spokesperson previously downplayed the significance of the job cuts in the misinformation unit, tweeting that the “team has been integrated into the broader content integrity team, which is substantially larger and focused on integrity work across the company.”
Still, sources familiar with the matter said that following the layoffs, the company has fewer people working on misinformation issues.
For those who’ve gained expertise in AI ethics, trust and safety and related content moderation, the employment picture looks grim.
Newly unemployed workers in those fields from across the social media landscape told CNBC that there aren’t many job openings in their area of specialization as companies continue to trim costs. One former Meta employee said that after interviewing for trust and safety roles at Microsoft and Google, those positions were suddenly axed.
An ex-Meta staffer said the company’s retreat from trust and safety is likely to filter down to smaller peers and startups that appear to be “following Meta in terms of their layoff strategy.”
Chowdhury, Twitter’s former AI ethics lead, said these types of jobs are a natural place for cuts because “they’re not seen as driving profit in product.”
“My perspective is that it’s completely the wrong framing,” she said. “But it’s hard to demonstrate value when your value is that you’re not being sued or someone is not being harmed. We don’t have a shiny widget or a fancy model at the end of what we do; what we have is a community that’s safe and protected. That is a long-term financial benefit, but in the quarter over quarter, it’s really hard to measure what that means.”
At Twitch, the T&S team included people who knew where to look to spot dangerous activity, according to a former employee in the group. That’s particularly important in gaming, which is “its own unique beast,” the person said.
Now, there are fewer people checking in on the “dark, scary places” where offenders hide and abusive activity gets groomed, the ex-employee added.
More importantly, nobody knows how bad it can get.
When ChatGPT launched in 2022, Google was caught flatfooted, but the launch of Gemini 3 and the Ironwood AI chip this month has experts raving about Alphabet’s AI comeback.
Google kicked off November by unveiling Ironwood, the seventh generation of its tensor processing units, or TPUs, that the company says lets customers “run and scale the largest, most data-intensive models in existence.” And last week, Google launched Gemini 3, its latest artificial intelligence model, saying it requires “less prompting” and provides smarter answers than its predecessors.
Salesforce CEO Marc Benioff captured the excitement around Gemini 3 with a Sunday post on X, saying that despite using OpenAI’s ChatGPT daily for three years, he wasn’t going back after two hours of using Gemini 3.
“The leap is insane,” wrote Benioff, whose company has partnerships with Google, OpenAI and other frontier AI model providers. “Everything is sharper and faster. It feels like the world just changed, again.”
Most tech stocks were down to start the week, except for one: Alphabet.
Shares of the Google parent surged more than 5% on Monday, adding to last week’s gain of more than 8%. Warren Buffett’s Berkshire Hathaway revealed earlier this month that it owns a $4.3 billion stake in Alphabet as of the end of the third quarter.
Alphabet shares are up nearly 70% this year and have outperformed Meta’s by more than 50 percentage points this year, and last week, Alphabet’s market cap surpassed Microsoft’s.
All of this came despite Nvidia reporting stronger-than-expect revenue and guidance in its third-quarter earnings last week.
“You may be asking why almost all of the AI stocks we cover are selling off after such good news from Nvidia,” Melius Research analyst Ben Reitzes wrote in a note Monday, referring to Nvidia’s positive third quarter earnings last week. “There is one real reason for worry and it is the ‘AI comeback’ of Alphabet.”
But while Google appears to have regained the edge, its lead over rivals remains razor thin in the gruelingly competitive AI market, experts said.
Sundar Pichai, chief executive officer of Alphabet Inc., during the Bloomberg Tech conference in San Francisco, California, US, on Wednesday, June 4, 2025.
David Paul Morris | Bloomberg | Getty Images
Putting the pieces together
With Gemini 3 and Ironwood, Google CEO Sundar Pichai appears to have finally put the pieces together for the company’s AI offerings, said Michael Nathanson, co-founder of equity research firm Moffett Nathanson. Google is serving a broad range of customers from consumers to enterprise, something the company initially struggled to do after the arrival of ChatGPT.
“Three years ago, they were seen as kind of lost and there were all these hot takes saying they lost their way and Sundar is a failure,” Nathanson said. “Now, they have a huge leg up.”
The company had a number of AI product mishaps in its initial attempts to catch up with OpenAI. In 2024 alone, Google had to pull its image generation product Imagen 2 for several months after users discovered a number of historical inaccuracies. The launch of AI Overviews caused a similar reaction when users discovered it gave faulty advice, which the company later remedied with additional guardrails.
“There was a lot of fumbling, and they were scrambling,” said Gil Luria, managing director at technology research firm DA Davidson. “But they had the tech in the pantry, and it was just a matter of getting it all together and shipped.”
Of particular note is how quickly Google launched Gemini 3 after the spring release of Gemini 2.5, which was already considered an impressive model. The hyper-realistic image generation features of Nano Banana is another notch in Google’s belt. After the company initially launched the image generation tool, Gemini shot to the top of the Apple App Store in September, dethroning ChatGPT.
And after the launch of Gemini 3, Google released Nano Banana Pro last week.
Google’s ownership of YouTube and all the content on the video platform gives the company an edge when it comes to training models for image and video generation.
“The amount of video and current data that Google has, that’s really a huge competitive advantage,” said Mike Gualtieri, vice president and principal analyst for Forrester Research. “I don’t see how OpenAI and Anthropic can overcome that.”
Additionally, Google has successfully incorporated its AI models into its enterprise products, driving sales for the company’s cloud unit. In its third quarter earnings results last month, Google reached its first $100 billion quarter, boosted by its cloud growth. The company’s cloud unit, which houses its AI services, showed solid growth and a $155 billion backlog from customers.
And it’s not just the AI models. Google is also garnering attention with its AI chips.
Google says Ironwood is nearly 30 times more power efficient than its first TPU from 2018. Google’s ASIC chips are emerging as the company’s secret weapon in the AI wars and have helped it notch recent deals worth billions with customers such as Anthropic.
After a reportsaid that Meta could strike a deal with Google to use its TPUs for the social media company’s data centers, Nvidia saw its stock drop 3% on Tuesday, prompting the chipmaker to post a response on social media.
With the rise of Google’s TPUs, Nvidia may no longer have the AI chips market cornered.
“The advantage of having the whole stack is you can optimize your model to work specifically well on a TPU chip and you’re building everything to a more optimally designed,” said Luria.
The company’s ability to serve AI enterprise customers with its TPUs and Google Cloud offerings as well as its incorporation of Gemini 3 throughout its consumer products is driving Wall Street’s enthusiasm.
Experts who spoke with CNBC said the competitive landscape is broader than just one AI winner, but they added that it’s become increasingly expensive for multiple companies to prove success.
Tight competition
Despite these wins, Google is still in fierce competition with other AI companies, experts said.
“Having the state of the art model for a few days doesn’t mean they’ve won to the extent that the stock market is implying,” Luria said, pointing to Anthropic’s new Opus 4.5 model launched Monday.
Earlier this month, OpenAI also announced two updates to its GPT-5 model to make it “warmer by default and more conversational” as well as “more efficient and easier to understand in everyday use,” the company said.
“The frontier models still seem to be neck and neck in some ways,” Forrester Research’s Gualtieri said.
The competitive edge will likely go to the companies willing to spend more money given the expenses of the AI race, experts said. In their earnings reports last month, Alphabet, Meta, Microsoft and Amazon each lifted their guidance for capital expenditures. They collectively expect that number to reach more than $380 billion this year.
“These companies are spending a lot of money assuming there’s gonna be a winner take all when in reality we may end up with frontier models being a commodity and several will be interchangeable,” Luria said.
For Google, maintaining a lead in AI won’t be without challenges.
Company executives told employees earlier this month that Google has to double its serving capacity every six month to meet demand for AI services and run its frontier models, CNBC reported last week.
“The competition in AI infrastructure is the most critical and also the most expensive part of the AI race,” Google Cloud Vice President Amin Vahdat told employees.
Although Google’s in-house TPUs have gotten increased attention as viable alternatives to Nvidia’s Blackwell chips, Nvidia still holds more than 90% of the AI chip market.
In its post on Tuesday, Nvidia pointed out that its chips are more flexible and powerful than ASIC chips, like Google’s Ironwood, which are typically designed for a single company or function.
And despite getting Salesforce’s Benioff to switch to Gemini, Google also has a lot of catching up to do with its consumer chat product, experts said, citing hallucinations and lower user numbers than OpenAI’s.
The Gemini app has 650 million monthly active users and AI Overviews has 2 billion monthly users, Google said last month. OpenAI, by comparison, said in August that ChatGPT hit 700 million users per week.
“Yes, Google has got its act together,” Luria said. “But that doesn’t mean they’ve won.”
The first day of sale of the iPhone 15 smartphone in Mumbai, India, on Sept. 22, 2023.
Dhiraj Singh | Bloomberg | Getty Images
Apple has filed a case in Delhi High Court against the country’s anti-trust body because of how it considers global turnover when calculating penalties.
The iPhone maker, which is among the fastest growing smart phone brands in India, is challenging India’s new antitrust law under which the U.S. company could incur fines of up to $38 billion, according to a report by Reuters.
It added it was “unconstitutional, grossly disproportionate, unjust” for the Competition Commission of India (CCI) to use turnover when calculating penalties.
Apple did not immediately respond to a request for comment from CNBC.
The CCI has been investigating complaints made by an alliance of Indian startups and Tinder-owner Match Group that accuse Apple of “abusive conduct” which forces developers to pay high commissions for in-app purchases.
Apple denied the charges.
The CCI’s final verdict is still pending but it said its “prima facie view [is] that mandatory use of Apple’s IAP for paid apps & in-app purchases restrict the choice available to the app developers to select a payment processing system of their choice”, in an order in December 2021.
Apple recorded its highest-ever quarterly shipments in India of 5 million units in the third quarter of 2025, according to data from IDC.
The company is expected to sell about 15 million iPhones this year in India and could rank among top five smartphone companies there, Navkendar Singh associate vice president with IDC India said on CNBC’s “Inside India” on Nov. 18.
Apple is among the global companies who are diversifying their manufacturing supply chain from China to India. In 2024, Apple exports from India hit a record of $12.8 billion, growing at more than 42% from year ago.
Alibaba announced plans to release a pair of smart glasses powered by its AI models. The Quark AI Glasses are Alibaba’s first foray into the smart glasses product category.
Alibaba
Alibaba‘s artificial intelligence-powered smart glasses went on sale on Thursday as the Chinese tech giant looks to ramp up its focus on consumer AI in an increasingly competitive market.
The Quark AI Glasses, first announced in July, come in two variants — the S1, which starts at 3,799 Chinese yuan ($536) and G1 at 1,899 yuan.
The tech giant has integrated its Qwen AI models — Alibaba’s version of ChatGPT — with the device which also links to its newly-launched Qwen app. This means users can use voice control to get the glasses to carry out tasks.
The lenses of the glasses are effectively screens and the device has a camera built into the frame. The main difference between the S1 and G1 is the display, Alibaba said.
The company said that some of the features include on-the-go translation, AI-generated meeting notes and the ability to ask the virtual assistants questions. Users take pictures of a product using the camera in the lens and then the device will show the price of that product on Taobao, Alibaba’s main shopping app in China.
Alibaba, like other technology companies such as U.S. giant Meta, are betting that smart glasses could be the next big consumer device after the smartphone.
In September, Meta unveiled the $799 Meta Ray-Ban Display glasses, the social media company’s first consumer-ready smart glasses with a built-in display. Users can control the device via hand gestures with a special wristband.
Alibaba’s glasses will initially go on sale in China and compete with domestic rivals, including consumer electronics maker Xiaomi and startup Xreal.
The smart glasses market is still small but growing rapidly. By 2026, shipments of AI glasses are expected to exceed more than 10 million units, doubling from 2025, according to a forecast from Omdia.
For Alibaba, the glasses are its latest play in the consumer AI market as it looks to build on its recent successes. The company’s ChatGPT-style Qwen app got 10 million downloads in the first week of the public beta launch. Meanwhile, Alibaba’s cloud computing business, where it books much of its AI-relate revenue, saw an acceleration of growth in the last quarter.
The Hangzhou, headquartered company is one of the leaders in China’s AI space, and has been investing aggressively in AI alongside rival giants like Baidu and Tencent, and aggressively launching new models.