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Manchester United Secures Land For New £2 Billion 100,000-Seater Stadium

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Manchester United have taken a major step toward delivering one of the most ambitious infrastructure projects in world football after securing the bulk of the land required for a proposed 100,000-seat stadium that could transform both the club’s finances and the wider Trafford area.

The Premier League club announced on Monday that it had acquired a 25-acre site located about 350 meters northwest of Old Trafford, paving the way for construction of a new £2 billion ($2.65 billion) stadium that would become the largest football venue in Britain.

The land was purchased from industrial property provider Indurent and a portfolio company owned by investment giant Blackstone. The acquisition is one of the most tangible signs yet that Manchester United is moving beyond the planning stage of a project that minority owner Jim Ratcliffe has championed as central to the club’s long-term revival.

“We are committed to building a world-class stadium with our supporters, not just for them, with atmosphere, affordability and accessibility at the heart of our thinking,” said Collette Roche, chief executive of United’s stadium development project.

According to Roche, locating the new venue close to Old Trafford will help preserve traditions and matchday rituals that have defined the club for generations.

The project comes at a critical time for Manchester United. While the club remains one of football’s biggest commercial brands, its stadium has increasingly fallen behind modern rivals in terms of facilities and revenue-generating capabilities.

Old Trafford, home to United since 1910, currently holds more than 74,000 spectators. Although it remains England’s largest club stadium, it has faced mounting criticism in recent years over ageing infrastructure. Supporters have complained about a leaking roof, drainage problems, and deteriorating facilities, while reports of rodent sightings have further highlighted the need for modernization.

The venue has not undergone a major redevelopment since 2006.

Beyond improving fan experience, the new stadium is expected to significantly strengthen Manchester United’s financial position.

One of the clearest benefits is matchday revenue. United currently charges an average of £46.51 for a general admission ticket at Old Trafford, while premium Premier League fixtures against rivals such as Liverpool and Manchester City can command prices ranging from £59 to £97.

Expanding capacity from roughly 74,000 to 100,000 seats would create room for approximately 26,000 additional spectators per match. Across a full season that includes Premier League, domestic cup, and European fixtures, the increase could generate tens of thousands of pounds in additional annual ticket revenue before accounting for hospitality, corporate boxes, food and beverage sales, merchandising, and sponsorship opportunities.

The revenue potential explains why many analysts view the stadium project as a strategic investment rather than merely an infrastructure upgrade.

Manchester United have increasingly found themselves competing against clubs that have benefited from modern stadium developments. Clubs such as Tottenham Hotspur have dramatically increased matchday income through larger hospitality offerings and year-round venue usage. Tottenham’s stadium, for example, hosts NFL games, concerts, and other events that generate significant non-football revenue.

United’s proposed venue could follow a similar model, allowing the club to maximize income beyond matchdays.

However, the project also has potential hurdles.

Chief executive Omar Berrada warned last year that the scale of the investment could affect squad spending and competitiveness for as long as five years. That concern reflects a challenge faced by several clubs that have financed major stadium developments while simultaneously trying to remain competitive on the pitch.

Balancing infrastructure spending with investment in players will be a key test for United’s leadership.

However, the timing is somewhat more favorable than it appeared a year ago. Manchester United recently secured qualification for the UEFA Champions League after finishing third in the Premier League under manager Michael Carrick. The return to Europe’s elite competition should provide an important boost to broadcasting and commercial revenues at a time when the club is preparing for one of the largest capital projects in its history.

For Ratcliffe and the club’s leadership, the stadium represents more than a construction project, as it is largely seen as a cornerstone of efforts to restore Manchester United’s status both financially and competitively after more than a decade of inconsistency following the retirement of legendary manager Alex Ferguson.

If completed as planned, the 100,000-seat venue would not only surpass Wembley as the largest football stadium in the United Kingdom but also position Manchester United to generate substantially higher matchday revenues for decades. This is expected to strengthen its ability to compete with Europe’s biggest clubs in an era when commercial scale increasingly determines success on and off the pitch.

Trump Signs Executive Orders to Accelerate U.S. Quantum Computer Push, Racing with China for Next Technological Breakthrough

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U.S. President Donald Trump has launched an aggressive new effort to accelerate the development of quantum computing and strengthen America’s cyber defenses, signaling that Washington increasingly views the emerging technology as a strategic battleground that could reshape economic competitiveness, military capabilities, and global technological leadership.

Trump on Monday signed two executive orders aimed at speeding the development of a large-scale quantum computer while preparing government systems for the cybersecurity disruptions the technology could unleash.

The move comes as competition between the United States and China intensifies across a range of advanced technologies, from artificial intelligence and semiconductors to quantum computing, which many scientists regard as the next major frontier in computing power.

“We believe this can happen by 2028,” Michael Kratsios, director of the White House Office of Science and Technology Policy, said during a briefing on the administration’s plans, referring to the goal of developing a powerful quantum computer capable of delivering scientific breakthroughs beyond the reach of conventional systems.

The administration’s initiative emerges from a growing consensus among policymakers that quantum computing is no longer a distant scientific experiment but an emerging technology with potentially profound implications for national security and economic power.

Unlike conventional computers, which process information using binary bits represented by zeros and ones, quantum computers use quantum bits, or qubits, which can exist in multiple states simultaneously. This allows them to perform certain calculations exponentially faster than even the world’s most powerful supercomputers.

Such capabilities could transform industries ranging from pharmaceuticals and materials science to energy and logistics. Researchers believe quantum machines could dramatically shorten the time required to discover new drugs, design advanced materials, optimize supply chains, and model complex chemical reactions.

However, the same technology poses one of the most significant cybersecurity threats governments have ever faced.

Current encryption systems that protect banking networks, government databases, military communications, and digital commerce rely on mathematical problems that are extremely difficult for traditional computers to solve. Quantum computers could eventually crack many of these encryption standards, potentially exposing sensitive information worldwide.

Recognizing that threat, one of Trump’s executive orders establishes an ambitious timetable for migrating critical federal systems to post-quantum cryptography, with agencies expected to complete the transition by 2030 or 2031. The initiative is designed to protect government networks against future attacks from quantum-enabled adversaries.

The concern extends beyond future risks. Cybersecurity experts have repeatedly warned about a “harvest now, decrypt later” strategy, in which hostile actors collect encrypted government and corporate data today in anticipation of eventually gaining access to quantum computers capable of unlocking it.

The administration’s actions, therefore, indicate both a race to build the technology and a race to defend against it. The new orders also highlight how quantum computing has become a central pillar of Washington’s broader technology strategy.

Last month, the Commerce Department announced plans to take approximately $2 billion in equity stakes across nine quantum-computing companies, including a new venture involving IBM. The investment underscored the administration’s willingness to deploy industrial policy tools similar to those used to strengthen domestic semiconductor manufacturing and artificial intelligence infrastructure.

The latest executive actions build on those efforts by directing federal agencies to develop plans over the next five years for deploying quantum-enabled sensors and communication networks. Such technologies could have significant defense applications. Quantum sensors may provide unprecedented precision in navigation, surveillance, and battlefield detection, while quantum communications could create highly secure networks resistant to interception.

Another element of the administration’s strategy focuses on protecting intellectual property and supply chains. Kratsios said the executive orders call for stronger international cooperation on intellectual property protection and supply-chain security in response to what the administration describes as efforts by competitors and adversaries to undermine U.S. economic and national security interests.

That language underpins longstanding concerns in Washington about China’s efforts to gain technological advantages in strategically important sectors.

China has invested heavily in quantum research for more than a decade and is widely regarded as America’s principal competitor in the field. Beijing has poured billions of dollars into quantum laboratories, communication networks, and research institutions, while Chinese scientists have achieved notable breakthroughs in quantum communications and experimental computing.

Many analysts view the competition as analogous to previous races involving nuclear technology, space exploration, and advanced semiconductors. The country that first develops practical, large-scale quantum computing capabilities could gain significant advantages in scientific discovery, military applications, and economic productivity.

The technology is also increasingly intertwined with artificial intelligence. Quantum systems could eventually accelerate AI training and optimization, helping to solve computational problems that are currently prohibitively expensive. That prospect has made quantum computing particularly attractive as governments and companies pour hundreds of billions of dollars into AI infrastructure.

However, despite rapid advances, today’s quantum computers remain prone to errors and are generally limited in scale. Experts continue to debate how quickly the industry can achieve fault-tolerant systems capable of delivering commercial and strategic value.

Trump administration officials nevertheless appear convinced that the breakthrough may arrive sooner than many expect.

The White House’s 2028 target reflects growing optimism that advances in hardware, error correction, and system design could move quantum computing from research labs into practical deployment within the next several years.

Congress Pushes Landmark Child Online Safety Bill as Global Momentum Builds for Tougher Social Media Restrictions

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The House Energy and Commerce Committee announced Monday that lawmakers had reached an agreement on the Kids Internet and Digital Safety Act (KIDS Act), a sweeping package that would establish new federal rules governing how social media platforms interact with children and teenagers.

The agreement, brokered by committee chairman Brett Guthrie and ranking member Frank Pallone after months of negotiations, seeks to create the most comprehensive federal framework yet for child safety, privacy protection, and platform accountability.

“The KIDS Act delivers the 21st century protections parents have demanded and our kids deserve,” the lawmakers said in a joint statement.

The legislation combines elements from more than a dozen proposals, including the Kids Online Safety Act, the Children and Teens’ Online Privacy Protection Act, the Safe Messaging for Kids Act, and the No Fentanyl on Social Media Act.

The bipartisan push in the U.S. House of Representatives comes at a time when governments around the world are increasingly moving beyond regulation and toward outright restrictions on minors’ access to social media.

Lawmakers say the bill is designed around five core objectives: expanding parental controls, making safety settings the default for younger users, strengthening privacy protections, increasing transparency around data brokers, and establishing stronger accountability mechanisms for technology companies.

The proposal arrives as concerns over the impact of social media on children have evolved from a domestic political debate into a global policy movement.

Across several advanced economies, governments have concluded that existing safeguards are insufficient and have begun imposing age-based restrictions on social media access.

In late 2024, Australia became the first major country to approve legislation banning children under 16 from using major social media platforms, placing responsibility on technology companies to verify users’ ages and prevent underage access. The law drew worldwide attention and triggered renewed debate among policymakers in North America, Europe, and Asia.

Since then, governments including France, Spain, Norway, and New Zealand have either introduced, proposed, or expanded measures aimed at restricting social media access for younger teenagers or strengthening parental consent requirements.

The trend emerges from a growing consensus among policymakers that social media platforms pose risks that extend beyond privacy concerns to include mental health challenges, cyberbullying, exposure to harmful content, online exploitation, and addictive design features.

Rather than pursuing an outright ban similar to Australia’s model, the U.S. legislation focuses on creating guardrails that force platforms to prioritize child safety while giving parents greater oversight.

The measure also comes as legal pressure on major technology companies intensifies.

Thousands of lawsuits have been filed against companies, including Meta, YouTube, TikTok, and Snap Inc. Plaintiffs argue that these platforms were intentionally designed to maximize engagement among younger users while exposing them to harmful content and behavioral risks.

The first major case to reach a California jury ended with a combined damages award of $6 million against Meta and YouTube, providing a glimpse of the legal exposure facing the sector.

The litigation wave has already prompted changes inside some of the industry’s largest firms. Meta has expanded its teen-account protections across Instagram, Facebook, and Messenger, introducing stricter content controls and safety features. The company has simultaneously faced scrutiny over reports that it sought legal protections against child-harm claims tied to its platforms.

For lawmakers, the urgency extends beyond individual lawsuits. The absence of a federal standard has encouraged states to fill the vacuum. At least 20 U.S. states enacted laws over the past year targeting children’s use of social media, creating a patchwork of regulations that companies must navigate.

Supporters of the KIDS Act argue that a national framework would create consistency while ensuring stronger protections for young users.

The legislation’s focus on data brokers is also significant. Policymakers increasingly see the collection, sale, and sharing of children’s personal information as a central risk in the digital ecosystem. The bill seeks to impose greater transparency on how such data is gathered and used.

Another major area of concern is the role of recommendation algorithms. Lawmakers, parents, and child-safety advocates have raised concerns that algorithm-driven feeds can amplify harmful content, encourage compulsive usage patterns, and expose minors to material that may affect mental health and well-being.

Technology companies have generally responded by arguing that they have invested heavily in safety tools and moderation systems, while emphasizing that parents, schools, and governments also share responsibility for protecting children online.

Even with bipartisan support, significant hurdles remain before the legislation becomes law.

An earlier version passed the Energy and Commerce Committee in March by a relatively narrow 28-24 vote, underscoring ongoing divisions over the extent of government intervention in digital platforms. The bill must still clear both chambers of Congress and secure President Donald Trump’s signature.

However, with House Speaker Mike Johnson signaling support and public concern about children’s online safety continuing to rise, momentum appears stronger than at any point in recent years.

China’s AI Data Centre Boom Tests Power Grid as Push for Green Energy Runs Into Difficult Reality

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China’s ambition to power its rapidly expanding artificial intelligence industry with renewable energy is colliding with a difficult reality: the country’s electricity grid may not yet be equipped to handle the unpredictable demands of AI-driven data centers.

As Beijing races to establish itself as a global leader in artificial intelligence, policymakers are discovering that building advanced computing infrastructure is only part of the challenge. Ensuring a stable and reliable power supply for thousands of energy-hungry AI servers is emerging as an equally critical test, raising questions about whether China’s clean energy ambitions can keep pace with the explosive growth of the sector.

The issue has gained prominence at the highest levels of government. China’s 2026 government work report pledged stronger integration between computing infrastructure and electricity networks, reflecting growing recognition that future AI leadership will depend not only on chips and algorithms but also on access to vast amounts of power.

Authorities have set an ambitious target for renewable energy to account for 80% of electricity consumed by data centers by 2030, a dramatic increase from just 11% in 2023. Achieving that goal would make China’s AI sector one of the largest consumers of green electricity in the world.

Yet industry experts warn that the transition will be far more complicated than policymakers may have anticipated.

The scale of the challenge is enormous. According to Pei Shanpeng, a director at China’s State Power Investment Corp, electricity consumption from data centers is expected to increase by between 300 billion and 500 billion kilowatt-hours between 2026 and 2030. That would account for approximately 18% of China’s total growth in electricity demand during the period.

To put the figures in perspective, the lower end of that estimate alone is roughly equivalent to the United Kingdom’s entire annual power consumption.

The projections illustrate how AI is rapidly becoming one of the largest new sources of electricity demand in the world’s second-largest economy. As Chinese technology companies pour billions into AI infrastructure and seek to compete with American rivals, data centers are emerging as the latest major driver of power consumption alongside manufacturing, electric vehicles, and heavy industry.

Unlike traditional industrial users, however, AI data centers present unique challenges for electricity providers. One of the biggest concerns is the difficulty of forecasting demand patterns. Renewable energy projects and electricity grids operate most efficiently when demand can be predicted with a reasonable degree of accuracy. Data centers powered by advanced AI models do not fit neatly into that framework.

“At least for now, they do not appear to be very flexible (in managing power demand),” Pei said at an industry conference in Beijing last week.

“From what we understand, they (data centers) cannot really adjust power consumption load much. GPUs are very expensive, so once they are purchased, operators want to use them as quickly and as intensively as possible.”

His comments point to a growing tension between China’s clean-energy goals and the economics of artificial intelligence. Graphics processing units, or GPUs, which power advanced AI systems, represent massive capital investments. Companies that spend billions of yuan on computing infrastructure have little incentive to reduce usage during periods when renewable power generation falls short.

This creates a fundamental challenge for grid operators attempting to integrate intermittent renewable sources such as solar and wind power into AI computing networks that require uninterrupted electricity.

The problem extends beyond technical considerations.

Industry experts say data centers are considerably less attractive customers for renewable energy suppliers than traditional heavy industries such as aluminum smelters or chemical plants, where electricity demand patterns are often easier to forecast and manage. As a result, China’s broader strategy of linking renewable power projects directly to AI facilities could face growing resistance from power grid operators.

Many operators worry that direct renewable-energy arrangements could reduce electricity sales through traditional grid networks, undermining their ability to recover billions of dollars invested in transmission and distribution infrastructure. If demand later slows or shifts elsewhere, those investments could become more difficult to justify.

The concerns come as China’s power sector grapples with strains.

The country’s aggressive rollout of AI infrastructure has already begun placing additional strain on electricity systems in some regions. Rapid construction of large-scale data centers has increased both average and peak electricity loads, forcing grid operators to balance economic growth objectives with concerns about system reliability.

Industry specialists warn that the challenge is not merely generating enough electricity but ensuring that power remains available precisely when needed. This issue has become increasingly important as AI models grow more sophisticated. Training and operating frontier AI systems require continuous computing power, making outages or interruptions potentially costly for operators.

China wants to lead the global AI race while simultaneously accelerating its transition toward cleaner energy sources. Both objectives are achievable independently, but pursuing them together requires major investments in grid modernization, energy storage, and demand-management technologies.

The stakes extend beyond China’s borders.

As countries around the world compete to build AI infrastructure, access to reliable electricity is emerging as a strategic advantage. Analysts increasingly view energy availability as one of the key factors that could determine which nations dominate the next phase of AI development.

Chinese officials appear aware of the challenge.

Wang Zelin, deputy director at State Grid Jibei Electric Power Research Institute, suggested that greater flexibility from data-center operators could significantly ease pressure on the power system.

“If 15% of the power consumption loads can be adjusted, it will significantly reduce capacity expansion pressure on the grid over the next three to five years,” Wang said.

His comments point to what may become the next frontier in China’s AI expansion: not simply building more data centers, but finding ways to make them smarter energy consumers.

Energy experts expect the outcome to shape not only China’s clean-energy ambitions but also its ability to sustain the massive computing infrastructure required for the next generation of artificial intelligence.

 

Anthropic Tightens Checks for Claude Users, Now Requires Govt.-Issued Identity Documents

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Anthropic is preparing to require some Claude users to upload government-issued identification documents, including passports or driver’s licenses, along with selfies and facial geometry data, according to an updated privacy policy that reflects the company’s deepening efforts to balance rapid AI deployment with intensifying regulatory and political pressures.

The change, set to take effect on July 8, marks a notable expansion of Anthropic’s verification practices. While the company has long required users to be over 18, it is now formalizing identity checks that go beyond simple age confirmation in specific circumstances, such as when accounts are flagged for potential fraudulent activity. Rather than immediately banning such users, the process would allow them to appeal by proving their identity.

Anthropic spokesperson Michael Aciman emphasized that the measure applies only to “a small subset of users” whose accounts trigger concerns but are not outright prohibited. In an internal X post, Anthropic’s Thariq Shihpar clarified the timing and intent.

“[Anthropic’s identity verification policy] was updated on June 17 as an update to the appeals process. It’s unrelated to the Fable or Mythos rollout,” Shipar said.

The policy update arrives at a particularly sensitive moment for the AI startup. Anthropic remains locked in a high-stakes standoff with the Trump administration, which recently forced the company to restrict access to its latest cybersecurity-focused models, Fable and Mythos, over national security concerns and alleged jailbreak vulnerabilities. The company also continues to litigate a Department of Defense designation, labeling it a “supply chain risk,” stemming from its refusal to allow its technology for mass domestic surveillance or fully autonomous weapons.

By strengthening identity verification, Anthropic appears to be signaling a willingness to implement more robust compliance measures as it navigates an increasingly complex regulatory and political landscape. The company stated that such checks help enforce its terms of service, prevent fraud and abuse, investigate security issues, and ensure compliance with applicable laws.

Biometric Data and Privacy Trade-offs

When triggered, the verification process involves uploading a scan of a government ID, a selfie or video, and the creation of a face geometry template — data that some jurisdictions, such as Illinois, classify as protected biometric information. Anthropic partners with San Francisco-based Persona for these checks and says it determines how long Persona retains the documents, though it did not specify deletion timelines when asked. For comparison, Roblox, another Persona client, claims to delete user images “immediately” after processing to minimize risks of data breaches.

The move has raised familiar questions about the balance between platform safety and user privacy. While Anthropic frames the checks as a way to protect legitimate users from erroneous flags, critics may see it as part of a broader industry trend toward greater surveillance capabilities — precisely the type of use case that has strained its relationship with parts of the U.S. government.

Anthropic’s policy explicitly lists several scenarios where verification could be required: creating or administering accounts, enforcing terms of service, preventing unlawful conduct, and resolving security matters. The timing, coming shortly after clashes over model access and safety, suggests the company is proactively addressing compliance gaps that could invite further regulatory intervention.

Navigating Political and Regulatory Headwinds

Anthropic’s relationship with the Trump administration has been turbulent. The recent restrictions on its advanced models followed allegations that jailbreaks could compromise guardrails, though cybersecurity experts pushed back, arguing that such capabilities exist across multiple frontier models and that removing access harms defenders more than potential attackers. The company also faces ongoing litigation over the DoD’s supply chain risk label, which has restricted its use in certain government-related contexts.

By implementing clearer identity verification, Anthropic may be aiming to demonstrate responsible stewardship of its technology — a key expectation from policymakers wary of unchecked AI proliferation. However, the reliance on Persona, backed by Peter Thiel’s Founders Fund (which also invests in Anthropic), has already drawn scrutiny in other contexts. Discord briefly adopted Persona for age verification earlier this year before reversing course due to user backlash over Thiel’s involvement.

The policy update also aligns with a patchwork of emerging regulations across U.S. states and countries requiring age assurance for AI tools. Anthropic had already introduced some age verification earlier this year; the latest changes codify and expand identity checks in the privacy policy itself.

What It Means for Users and the Industry

For most casual Claude users, daily interactions are unlikely to change. The checks target a narrow group flagged by Anthropic’s systems, offering them a path to reinstatement rather than permanent exclusion. Still, the requirement to submit sensitive documents and biometric data will raise privacy concerns for those affected, particularly in an era of heightened data breach risks and government demands for user information.

However, Anthropic’s approach reflects the growing tension at the heart of the AI industry that has been increasingly defined as ‘the drive for rapid innovation and broad accessibility versus the need for accountability, safety, and regulatory compliance.’ As frontier models become more powerful, companies like Anthropic face mounting expectations, from governments, users, and civil society, to know who is using their tools and for what purposes.