On the First Day without X, Many Brazilians Say They Feel Disconnected from the World

Photo illustration of the logo of the social media platform X (former Twitter) in Rio de Janeiro, Brazil on August 30, 2024. (AFP)
Photo illustration of the logo of the social media platform X (former Twitter) in Rio de Janeiro, Brazil on August 30, 2024. (AFP)
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On the First Day without X, Many Brazilians Say They Feel Disconnected from the World

Photo illustration of the logo of the social media platform X (former Twitter) in Rio de Janeiro, Brazil on August 30, 2024. (AFP)
Photo illustration of the logo of the social media platform X (former Twitter) in Rio de Janeiro, Brazil on August 30, 2024. (AFP)

The blocking of social media platform X in Brazil divided users and politicians over the legitimacy of the ban, and many Brazilians on Saturday had difficulty and doubts over navigating other social media in its absence.

The shutdown of Elon Musk’s platform started early Saturday, making it largely inaccessible on both the web and through mobile apps after the billionaire refused to name a legal representative to the country, missing a deadline imposed by Supreme Court Justice Alexandre de Moraes. The blockade marks an escalation in a monthslong feud between Musk and de Moraes over free speech, far-right accounts and misinformation.

Brazil is one of the biggest markets for X, with tens of millions of users.

“I've got the feeling that I have no idea what’s happening in the world right now. Bizarre,” entertainment writer and heavy X user Chico Barney wrote on Threads. Threads is a text-based app developed by Instagram that Barney was using as an alternative. “This Threads algorithm is like an all-you-can-eat restaurant where the waiter keeps serving things I would never order.”

Bluesky, a social media platform that was launched last year as an alternative to X and other more established sites, has seen a large influx of Brazilians in the past couple of days. The company said Friday it has seen about 200,000 new users from Brazil sign up during that time, and the number “continues to grow by the minute.” Brazilian users are also setting records for activities such as follows and likes, Bluesky said.

Previous users of other platforms welcomed Brazilians to their ranks. “Hello literally everyone in Brazil,” a user wrote on Threads. “We're a lot nicer than Twitter here,” said another.

Platform migration isn't new for Brazilians. They were huge adopters of Orkut and, when Orkut went kaput, they very gladly moved to other platforms.

X is not as popular in Brazil as Facebook, Instagram, YouTube or TikTok. However, it remains an important platform on which Brazilians engage in political debates and is highly influential among politicians, journalists and other opinion makers.

It's also where they share their sense of humor. Many of the country’s most famous memes originate from posts on X before spreading to other social networks. Last week, for instance, Brazilians collaboratively crafted an absurd storyline for a fictional telenovela, complete with a theme song created using artificial intelligence tools.

Pop stars and their fanbases were also hit by Brazilians being left off the platform.

“Wait a lot of my fan pages are Brazilian!!! Come back hold up!!,” Cardi B said Friday on X. A fan page dedicated to Timothée Chalamet, known by the handle TimotheeUpdates, said it would temporarily cease updating as all of its administrators are Brazilian.

De Moraes said X will stay suspended until it complies with his orders, and he also set a daily fine of 50,000 reais ($8,900) for people or companies using virtual private networks, or VPNs, to access it. Some legal experts questioned the grounds for that decision and how it would be enforced. Others suggested the move was authoritarian.

The Brazilian Bar Association said Friday in a statement that it would request the Supreme Court review the fines imposed on all citizens using VPNs or other means to access X without due process. Brazil's bar association argued that sanctions should never be imposed summarily before ensuring an adversarial process and the right to full defense.

“I’ve used VPNs a lot in authoritarian countries to continue accessing news sites and social networks,” Maurício Santoro, a political science professor at the State University of Rio de Janeiro, said on the platform before its shutdown. “It never occurred to me that this type of tool would be banned in Brazil. It’s dystopian.”

A search Friday on X showed hundreds of Brazilian users inquiring about VPNs that could potentially enable them to continue using the platform by making it appear they are logging on from outside the country.

“Tyrants want to turn Brazil into another commie dictatorship but we won’t back down. I repeat: do not vote on those who don’t respect free speech. Orwell was right,” right-wing congressman Nikolas Ferreira, one of former President Jair Bolsonaro’s closest allies, published before X went off. Musk replied with an emoji suggesting agreement: “100”.

Ferreira is a 28-year-old YouTuber who received the most votes of the 513 elected federal lawmakers in the 2022 election. De Moraes ordered the block of his social media accounts after a mob of Bolsonaro supporters attacked Brazil’s Congress, presidential palace and Supreme Court in January 2023 seeking to overturn the election.

Lawmaker Bia Kicis said “the consequences of Alexandre de Moraes’ attacks to Elon Musk, X and Starlink will be regrettable for Brazilians.” She also urged Rodrigo Pacheco, the president of the country’s Senate, to act. Kicis has repeatedly urged Pacheco to open impeachment proceedings against the Supreme Court justice.

“We need to leave this state of apathy and stop the worst from happening,” the pro-Bolsonaro lawmaker, whose profiles were temporarily blocked by de Moraes in 2022, also said.

The former president said Saturday on Instagram that X's departure from Brazil was “another blow to our freedom and legal security.”

“It not only affects our freedom of expression, but also undermines the confidence of international companies in operating on Brazilian soil, with impacts ranging from national security to the quality of the information that reaches our citizens,” Bolsonaro said.

On Friday, President Luiz Inácio Lula da Silva backed de Moraes’ decision and took aim at Musk for positioning himself as though he was above the law during an interview with Radio MaisPB.

“Any citizen, from anywhere in the world, who has investments in Brazil, is subject to the Brazilian Constitution and Brazilian laws. Therefore, if the Supreme Court has made a decision for citizens to comply with certain things, they either have to comply or take another course of action,” Lula said. “It’s not because the guy has a lot of money that he can disrespect it.”

Ana Júlia Alves de Oliveira, an 18-year-old student, shared that many young people like her no longer watch newscasts or read newspapers, relying solely on social media platforms like X for their news. Without this platform, she felt disconnected.

“I kind of lost touch with what’s going on around the world,” she said. “I saw a lot of entertainment there too, so this is a new reality for me.”



Google, Meta, TikTok Hit by EU Consumer Complaints about Handling of Financial Scams

FILE PHOTO: The logo of Meta is seen during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, June 12, 2025. REUTERS/Benoit Tessier/File Photo
FILE PHOTO: The logo of Meta is seen during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, June 12, 2025. REUTERS/Benoit Tessier/File Photo
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Google, Meta, TikTok Hit by EU Consumer Complaints about Handling of Financial Scams

FILE PHOTO: The logo of Meta is seen during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, June 12, 2025. REUTERS/Benoit Tessier/File Photo
FILE PHOTO: The logo of Meta is seen during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, June 12, 2025. REUTERS/Benoit Tessier/File Photo

Alphabet's Google, Meta Platforms and TikTok were hit with complaints from European Union consumer groups on Thursday for allegedly failing to protect users from financial scams on their platforms, putting them at risk of regulatory fines.

The move highlights growing pressure worldwide on Big Tech to do more to address the negative impacts of social media, particularly for children and vulnerable users.

The complaints, filed by the European Consumer Organisation (BEUC) and 29 of its members in 27 European countries, were submitted to the European Commission and national regulators under the Digital Services Act, which requires large online platforms to do more to tackle illegal and harmful content, Reuters reported.

"Meta, TikTok and Google not only fail to proactively remove fraudulent ads but also do little when being notified about such scams," BEUC Director General Agustin Reyna said in a statement.

"If they fail to address the financial scams circulating on their platforms, fraudsters will continue to reach millions of European consumers daily, leaving people at risk of losing hundreds to thousands of euros to fraud," he said. Google and Meta rejected the complaints and said they work proactively to protect their users.

A Google spokesperson said: "We strictly enforce our ad policies, blocking over 99% of violating ads before they ever run. Our teams constantly update these defences to stay ahead of scammers and protect people."

Meta said it found and removed over 159 million scam ads last year, 92% before anyone reported them. "We invest in advanced AI, tools, and partnerships to stop them," a spokesperson said.

TikTok said it takes action against violations, adding that scams are an industry-wide challenge while bad actors constantly adapt their tactics.

The consumer groups, meanwhile, said they reported nearly 900 ads suspected of breaching EU laws between December last year and March this year but the platforms only took down 27% of the ads and 52% of the reports were rejected or ignored.

The groups urged regulators to investigate whether the companies were complying with the rules and to impose fines for breaches.

DSA fines can reach as much as 6% of a company's global annual turnover.


SDAIA Outlines Comprehensive Data Quality Journey to Support National AI Initiatives

The Saudi Authority for Data and Artificial Intelligence (SDAIA)
The Saudi Authority for Data and Artificial Intelligence (SDAIA)
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SDAIA Outlines Comprehensive Data Quality Journey to Support National AI Initiatives

The Saudi Authority for Data and Artificial Intelligence (SDAIA)
The Saudi Authority for Data and Artificial Intelligence (SDAIA)

The Saudi Data and Artificial Intelligence Authority (SDAIA) highlighted data quality as a critical foundation for enhancing information reliability, boosting performance, and enabling accurate business decisions, as part of its efforts during the Year of Artificial Intelligence 2026 to raise awareness about data importance.

The authority noted that high data quality serves as the cornerstone for sustainable national trust, integrated digital services, operational savings, entrepreneurship, and readiness for artificial intelligence applications, SPA reported.

SDAIA stated that the data quality journey spans five phases, beginning with a creation phase, where data is entered according to standardized criteria.

This is followed by a storage and organization phase to structure data and eliminate duplication, and an integration and sharing phase, which assesses quality before data is reused.

The journey continues through an analysis and use phase, where report accuracy is tied directly to source quality, and culminates in a continuous improvement phase, which utilizes analysis and user feedback to constantly refine data sets.

SDAIA called on organizations to adopt comprehensive data quality practices and strictly adhere to national regulations and standards. This includes integrated data quality planning, prioritizing initial assessments, developing data rules, and establishing clear performance indicators to measure improvement.

The authority also emphasized the importance of conducting periodic reviews and enabling users to report quality problems, which will ultimately maximize the efficiency of digital services and AI applications across the Kingdom.


Dell to Asharq Al-Awsat: AI in Saudi Arabia Enters Production, Not Experimentation Phase

Mohammed Amin, Senior Vice President for Central Eastern Europe, Middle East, Türkiye and Africa at Dell Technologies
Mohammed Amin, Senior Vice President for Central Eastern Europe, Middle East, Türkiye and Africa at Dell Technologies
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Dell to Asharq Al-Awsat: AI in Saudi Arabia Enters Production, Not Experimentation Phase

Mohammed Amin, Senior Vice President for Central Eastern Europe, Middle East, Türkiye and Africa at Dell Technologies
Mohammed Amin, Senior Vice President for Central Eastern Europe, Middle East, Türkiye and Africa at Dell Technologies

Saudi Arabia became a focal point of discussion in the “Dell Technologies World 2026” in Las Vegas this week about the next phase of artificial intelligence.

The question is no longer just about the size of investment in infrastructure or national capacity building, but about the difference the Kingdom can make in a global market transitioning from AI experimentation to its operational deployment within institutions.

In exclusive remarks to Asharq Al-Awsat, Michael Dell, Chairman and CEO of Dell Technologies, stated that what the company sees in Saudi Arabia is a “deep commitment to modernizing the Kingdom,” highlighting its significant energy resources and Dell's collaboration with Humain and other companies in the Kingdom, in addition to a regional facility through which the company works to “aggregate these capabilities and build infrastructure for customers in the region.”

He added that every country today is going through a phase of re-understanding what the transition towards AI means, and how citizens and industries can be empowered to drive the economy forward. In the same session, Dell described Saudi Vision 2030 as “highly ambitious,” and the ambition for AI under this vision as “impressive.”

The Operation Test

From this point, the real discussion about Saudi Arabia and artificial intelligence begins. The narrative is no longer solely about the volume of investments, the speed of data center construction, or the number of announced national projects.

The challenge of the next test relates to how this national capability can be transformed into operational value within government entities, banks, hospitals, energy and telecommunications companies, and smart cities. It's about how institutions move from AI experiments to systems that operate daily, on real data, within secure environments, and at a predictable cost.

Mohammed Amin, Senior Vice President for Central Eastern Europe, Middle East, Türkiye and Africa at Dell Technologies, places this transformation in a clear context.

In remarks to Asharq Al-Awsat on the sidelines of the conference, he states that the biggest barrier for institutions in Saudi Arabia and the Gulf as they transition from AI experimentation to production is not a single isolated factor, but an interconnected system encompassing infrastructure, governance, skills, cyber resilience, cost, and operating models.

However, he considers “data readiness” to be the primary obstacle. He adds: “Without a reliable and AI-ready data foundation, even the most advanced infrastructure is insufficient, and pilot projects falter before reaching production.”

Mohammed Amin, Senior Vice President for Central Eastern Europe, Middle East, Türkiye and Africa at Dell Technologies

Data Before the Model

This point appears fundamental to Dell's assessment of the Saudi phase, as the company indicates that 96 percent of Saudi institutions now view AI as a key part of their business strategy, according to its research on the state of innovation and AI.

However, this indicator, despite its importance, does not mean that the path to production has become easy. Many institutions still operate through outdated and fragmented systems, distributed data, inconsistent governance, and limited access to reliable real-time data.

According to Amin, the fastest-advancing institutions are those that treat AI “not as a standalone tool, but as a transformation of the entire operating model.”

Here lies the difference between ambition and operational infrastructure. An institution that wants to use AI for customer service, risk management, predictive maintenance, or patient data analysis not only needs a robust model but also requires its data to be discoverable, governed, reliable, and usable by AI systems in a timely manner.

Amin defines AI-ready data as data that is “discoverable, governed, reliable, and usable by AI systems in real-time.” This definition transforms the discussion from a narrow technical question to an institutional one: Does the institution know where its data is, who can use it, and can it be trusted when fed into a model or intelligent agent?

Data from Sensitive Sectors

In the Saudi banking sector, this could mean linking customer, transaction, and risk data across different environments while maintaining compliance and governance. In hospitals, it involves securely organizing clinical and imaging data so that AI can support diagnosis or improve operations without compromising patient privacy. For government entities, it means unifying citizen and operational data while preserving sovereignty and security controls. As for energy companies, it might involve combining operational, sensor, and geographic data to support predictive maintenance and improve performance.

Dell states that updates to its Dell AI Data Platform specifically target this point, by indexing billions of files and linking them into governed data pipelines. The platform includes capabilities such as GPU-accelerated SQL analytics, achieving up to six times faster performance, and vector indexing up to 12 times faster.

These details might seem technical, but they actually determine the speed at which an institution transitions from a limited experiment to a widely operational AI service. The slower data is accessed or the less organized it is, the more the data pipelines themselves become an operational bottleneck. Amin notes that these capabilities help reduce response time, improve accuracy, and expand AI services with higher efficiency.

Local Operating Economics

As AI transitions to more sensitive and continuous workloads, another question emerges: when does private or institution-controlled infrastructure become more suitable than the public cloud? Amin does not present this as a stark choice between cloud and private infrastructure; he believes the public cloud remains important for experimentation, flexibility, and quick access to AI services. However, he adds that there comes a stage where controlled infrastructure becomes “strategically better,” especially when workloads involve sensitive national or financial data, or when response time requirements are critical.

This aligns with what Dell presented at the conference regarding Deskside Agentic AI, a solution aimed at running some AI agents locally on high-performance workstations, rather than relying entirely on cloud programming interfaces.

The company states that this solution can, in some cases, reach a break-even point with the cost of cloud programming interfaces within three months, and reduce spending by up to 87 percent within two years. Amin interprets these figures from a broader perspective, stating that technology managers in Saudi Arabia must evaluate the economics of AI “over its full lifecycle, not just by focusing on initial infrastructure costs.” The cloud might appear attractive at the outset, but it can become more expensive when running continuous generative or agentic workloads at the scale of a large enterprise.

Processor Efficiency

For Saudi Arabia, this issue is also linked to sectors with regulatory and sensitive natures. Amin acknowledges that the most realistic use cases today are those that deliver clear productive and operational value while maintaining manageable governance.

He points out that private assistants within institutions and workflow in regulated sectors represent a compelling starting point in the Kingdom, due to the strong focus on data security and sovereignty. He also believes that programming assistants are rapidly gaining momentum because they offer direct benefits to development teams.

The transition to production requires not only data and architecture but also infrastructure capable of handling high workload density. In heavy AI environments, processing units are insufficient if data does not move quickly between computing, storage, and applications.

Amin notes that the network design in PowerRack includes a switching capacity exceeding 800 terabits per second per rack, explaining that the practical meaning of this capacity is to eliminate data traffic bottlenecks between GPUs, storage, and applications. The longer GPUs wait for data, the lower the efficiency of infrastructure investment. Conversely, when data moves with low latency, training and inference operations become faster and more effective.

Cooling as a Strategic Factor

This discussion cannot be separated from cooling and power, as AI increases rack density and power requirements within data centers, making cooling a strategic, not just operational, factor.

Amin notes that the ability of Dell PowerCool C7000 to support facility water temperatures up to 40 degrees Celsius means that data centers can operate with higher efficiency in hot climates, reducing reliance on energy-intensive cooling.

In Saudi Arabia, where the government and private sector are investing in sovereign AI infrastructure, he believes that cooling “is no longer merely an operational issue,” but has become linked to scalability, energy efficiency, and long-term viability.

Data and Model Security

Cyber resilience is part of AI readiness; an intelligent system is not reliable if its data is corruptible, its models are exploitable, or its infrastructure is not recoverable. Amin points out that an AI system “is only as reliable as the data and models it operates on,” and a cyberattack that corrupts data or harms a model can have significant consequences.

Therefore, he believes that the maturity of cyber resilience will directly impact the extent to which institutions trust expanding their adoption of AI. Here, Dell offers tools like Cyber Detect, which it claims can detect data corruption resulting from ransomware attacks and accurately identify the last known clean version.

Openness and Sovereignty

With Dell's expanded partnerships with Google, Hugging Face, OpenAI, Palantir, ServiceNow, and SpaceXAI, the company emphasizes that institutions do not want to tie their AI strategy to a single model, cloud platform, or infrastructure package.

This openness, in Amin's view, gives institutions a “choice” and reduces vendor lock-in risks, allowing them to develop their capabilities as technology evolves. This is crucial in a fast-moving market like Saudi Arabia, where integration and interoperability can become strategic advantages in themselves.

When Mohamed Amin was asked about the Saudi sectors that would first require AI-ready infrastructure, he placed government, energy, telecommunications, finance, and smart cities at the forefront, due to the volume of their data, their national importance, and the operational value that AI can unlock.

These sectors are also most closely linked to sovereignty, compliance, and security requirements. Therefore, building a secure and scalable AI infrastructure appears not merely a technical upgrade, but part of institutions' ability to transform the Vision's ambitions into measurable daily operations.

Between Michael Dell's response regarding Saudi Arabia and Mohamed Amin's vision for the region, the picture of the next phase becomes clear. The Kingdom is not entering the AI race merely from the perspective of consumption or experimentation, but from the perspective of building institutional capability.

However, true capability will not be measured solely by the number of data centers or the volume of investment, but by institutions' ability to prepare their data, choose where to run their workloads, manage costs, protect their models and data, and scale their use without losing control or governance.