Janelle Gale, Meta’s vice president of people, made the announcement on the company’s Workplace internal communications forum.
Among the changes, Meta is ending the company’s “Diverse Slate Approach” of considering qualified candidates from underrepresented groups for its open roles. The company is also putting an end to its diversity supplier program and its equity and inclusion training programs.
Gale also announced the disbanding of the company’s diversity, equity and inclusion, or DEI, team, and she said that Meta Chief Diversity Officer Maxine Williams will move into a new role focused on accessibility and engagement.
Several Meta employees responded to Gale’s post with comments criticizing the new policy.
“If you don’t stand by your principles when things get difficult, they aren’t values. They’re hobbies,” one employee posted in a comment that got reaction from more than 600 colleagues.
The DEI policy change follows a number of sweeping policy reversals by the social media company this month. Last week, Meta replaced global affairs head Nick Clegg with Joel Kaplan, a veteran at the company with longstanding ties to the Republican Party. On Tuesday, Mark Zuckerberg announced a new speech policy that included bringing an end to the company’s third-party fact-checking program.
Axios was first to report the DEI changes at the social media company. Meta didn’t immediately respond to a request for comment.
Below is Gale’s full internal memo, which CNBC obtained.
Hi all,
I wanted to share some changes we’re making to our hiring, development, and procurement practices. Before getting into details, there is some important background to lay out:
The legal and policy landscape surrounding diversity, equity and inclusion efforts in the United States is changing. The Supreme Court of the United States has recently made decisions signaling a shift in how courts will approach DEI. It reaffirms long standing principles that discrimination should not be tolerated or promoted on the basis of inherent characteristics. The term “DEI” has also become charged, in part because it is understood by some as a practice that suggests preferential treatment of some groups over others.
At Meta, we have a principle of serving everyone. This can be achieved through cognitively diverse teams, with differences in knowledge, skills, political views, backgrounds, perspectives, and experiences. Such teams are better at innovating, solving complex problems and identifying new opportunities which ultimately helps us deliver on our ambition to build products that serve everyone. On top of that, we’ve always believed that no one should be given — or deprived — of opportunities because of protective characteristics, and that has not changed.
Given the shifting legal and policy landscape, we’re making the following changes:
On hiring, we will continue to source candidates from different backgrounds, but we will stop using the Diverse Slate Approach. This practice has always been subject to public debate and is currently being challenged. We believe there are other ways to build an industry leading workforce and leverage teams made up of world-class people from all types of backgrounds to build products that work for everyone.
We previously ended representation goals for women and ethnic minorities. Having goals can create the impression that decisions are being made based on race or gender. While this has never been our practice, we want to eliminate any impression of it.
We are sunsetting our supplier diversity effort within our broader supplier strategy. This effort focused on sourcing from diverse-owned businesses; going forward, we will focus our efforts on supporting small and medium sized businesses that power much of our economy. Opportunities will continue to be available to all qualified suppliers, including those who are part of the supplier diversity program.
Instead of equity and inclusion training programs, we will build programs that focus on how to apply fair and consistent practices that mitigate bias for all, no matter your background.
We will no longer have a team focused on DEI. Maxine Williams is taking on a new role at Meta focused on accessibility and engagement.
What remains the same are the principles we’ve used to guide our People Practices:
We serve everyone. We are committed to making our products accessible, beneficial and universally impactful for everyone.
We build the best teams with the most talented people. This means sourcing people from a range of candidate pools but never making hiring decisions based on protected characteristics, (e.g., race, gender, etc.). We will always evaluate people as individuals.
We drive consistency in employment practices to ensure fairness and objectivity for all. We do not provide preferential treatment, extra opportunities or unjustified credit to anyone based on protected characteristics. Nor will we devalue impact based on these characteristics.
We build connection and community. We support our employee communities, people who use our products and those in the communities. We operate our employee community groups (MRGs) continue to be open to all.
Meta has the privilege to serve billions of people every day. It is important to us that our products are accessible to all, and useful in promoting economic growth and opportunity around the world. We continue to be focused on serving everyone and building a multi-talented, industry-leading workforce from all walks of life.
Internet firm Cloudflare will start blocking artificial intelligence crawlers from accessing content without website owners’ permission or compensation by default, in a move that could significantly impact AI developers’ ability to train their models.
Starting Tuesday, every new web domain that signs up to Cloudflare will be asked if they want to allow AI crawlers, effectively giving them the ability to prevent bots from scraping data from their websites.
Cloudflare is what’s called a content delivery network, or CDN. It helps businesses deliver online content and applications faster by caching the data closer to end-users. They play a significant role in making sure people can access web content seamlessly every day.
Roughly 16% of global internet traffic goes directly through Cloudflare’s CDN, the firm estimated in a 2023 report.
“AI crawlers have been scraping content without limits. Our goal is to put the power back in the hands of creators, while still helping AI companies innovate,” said Matthew Prince, co-founder and CEO of Cloudflare, in a statement Tuesday.
“This is about safeguarding the future of a free and vibrant Internet with a new model that works for everyone,” he added.
What are AI crawlers?
AI crawlers are automated bots designed to extract large quantities of data from websites, databases and other sources of information to train large language models from the likes of OpenAI and Google.
Whereas the internet previously rewarded creators by directing users to original websites, according to Cloudflare, today AI crawlers are breaking that model by collecting text, articles and images to generate responses to queries in a way that users don’t need to visit the original source.
This, the company adds, is depriving publishers of vital traffic and, in turn, revenue from online advertising.
Read more CNBC tech news
Tuesday’s move builds on a tool Cloudflare launched in September last year that gave publishers the ability to block AI crawlers with a single click. Now, the company is going a step further by making this the default for all websites it provides services for.
OpenAI says it declined to participate when Cloudflare previewed its plan to block AI crawlers by default on the grounds that the content delivery network is adding a middleman to the system.
The Microsoft-backed AI lab stressed its role as a pioneer of using robots.txt, a set of code that prevents automated scraping of web data, and said its crawlers respect publisher preferences.
“AI crawlers are typically seen as more invasive and selective when it comes to the data they consumer. They have been accused of overwhelming websites and significantly impacting user experience,” Matthew Holman, a partner at U.K. law firm Cripps, told CNBC.
“If effective, the development would hinder AI chatbots’ ability to harvest data for training and search purposes,” he added. “This is likely to lead to a short term impact on AI model training and could, over the long term, affect the viability of models.”
Elon Musk announced his new company xAI, which he says has the goal to understand the true nature of the universe.
Jaap Arriens | Nurphoto | Getty Images
XAI, the artificial intelligence startup run by Elon Musk, raised a combined $10 billion in debt and equity, Morgan Stanley said.
Half of that sum was clinched through secured notes and term loans, while a separate $5 billion was secured through strategic equity investment, the bank said on Monday.
The funding gives xAI more firepower to build out infrastructure and develop its Grok AI chatbot as it looks to compete with bitter rival OpenAI, as well as with a swathe of other players including Amazon-backed Anthropic.
In May, Musk told CNBC that xAI has already installed 200,000 graphics processing units (GPUs) at its Colossus facility in Memphis, Tennessee. Colossus is xAI’s supercomputer that trains the firm’s AI. Musk at the time said that his company will continue buying chips from semiconductor giants Nvidia and AMD and that xAI is planning a 1-million-GPU facility outside of Memphis.
Addressing the latest funds raised by the company, Morgan Stanley that “the proceeds will support xAI’s continued development of cutting-edge AI solutions, including one of the world’s largest data center and its flagship Grok platform.”
xAI continues to release updates to Grok and unveiled the Grok 3 AI model in February. Musk has sought to boost the use of Grok by integrating the AI model with the X social media platform, formerly known as Twitter. In March, xAI acquired X in a deal that valued the site at $33 billion and the AI firm at $80 billion. It’s unclear if the new equity raise has changed that valuation.
xAI was not immediately available for comment.
Last year, xAI raised $6 billion at a valuation of $50 billion, CNBC reported.
Morgan Stanley said the latest debt offering was “oversubscribed and included prominent global debt investors.”
Competition among American AI startups is intensifying, with companies raising huge amounts of funding to buy chips and build infrastructure.
Musk has called Grok a “maximally truth-seeking” AI that is also “anti-woke,” in a bid to set it apart from its rivals. But this has not come without its fair share of controversy. Earlier this year, Grok responded to user queries with unrelated comments about the controversial topic of “white genocide” and South Africa.
Musk has also clashed with fellow AI leaders, including OpenAI’s Sam Altman. Most famously, Musk claimed that OpenAI, which he co-founded, has deviated from its original mission of developing AI to benefit humanity as a nonprofit and is instead focused on commercial success. In February, Musk alongside a group of investors, put in a bid of $97.4 billion to buy control of OpenAI. Altman swiftly rejected the offer.
— CNBC’s Lora Kolodny and Jonathan Vanian contributed to this report.
In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
Ramon Costa | SOPA Images | Lightrocket | Getty Images
Huawei has open-sourced two of its artificial intelligence models — a move tech experts say will help the U.S.-blacklisted firm continue to build its AI ecosystem and expand overseas.
The Chinese tech giant announced on Monday the open-sourcing of the AI models under its Pangu series, as well as some of its model reasoning technology.
Tech experts told CNBC that Huawei’s latest announcements not only highlight how it is solidifying itself as an open-source LLM player, but also how it is strengthening its position across the entire AI value chain as it works to overcome U.S.-led AI chip export restrictions.
In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
In its announcement Monday, Huawei called the open-source moves another key measure for Huawei’s “Ascend ecosystem strategy” that would help speed up the adoption of AI across “thousands of industries.”
The Ascend ecosystem refers to AI products built around the company’s Ascend AI chip series, which are widely considered to be China’s leading competitor to products from American chip giant Nvidia. Nvidia is restricted from selling its advanced products to China.
A Google-like strategy?
Pangu being available in an open-source manner allows developers and businesses to test the models and customize them for their needs, said Lian Jye Su, chief analyst at Omdia. “The move is expected to incentivize the use of other Huawei products,” he added.
According to experts, the coupling of Huawei’s Pangu models with the company’s AI chips and related products gives the company a unique advantage, allowing it to optimize its AI solutions and applications.
While competitors like Baidu have LLMs with broad capabilities, Huawei has focused on specialized AI models for sectors such as government, finance and manufacturing.
“Huawei is not as strong as companies like DeepSeek and Baidu at the overall software level – but it doesn’t need to be,” said Marc Einstein, research director at Counterpoint Research.
“Its objective is to ultimately use open source products to drive hardware sales, which is a completely different model from others. It also collaborates with DeepSeek, Baidu and others and will continue to do so,” he added.
Ray Wang, principal analyst at Constellation Research, said the chip-to-model strategy is similar to that of Google, a company that is also developing AI chips and AI models like its open-source Gemma models.
Huawei’s announcement on Monday could also help with its international ambitions. Huawei, along with players like Zhipu AI, has been slowly making inroads into new overseas markets.
In its announcement Monday, Huawei invited developers, corporate partners and researchers around the world to download and use its new open-source products in order to gather feedback and improve them.
“Huawei’s open-source strategy will resonate well in developing countries where enterprises are more price-sensitive as is the case with [Huawei’s] other products,” Einstein said.
As part of its global strategy, the company has also been looking to bring its latest AI data center solutions to new countries.