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Elon Musk Predicts Money Will Be Obsolete by 2036 Due to AI and Robots

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Elon Musk has once again sparked global debate with a bold prediction about the future of the economy.

According to the billionaire entrepreneur, money may lose much of its importance by 2036 as artificial intelligence and advanced robotics transform the way goods and services are produced.

While the statement may sound futuristic, it reflects Musk’s long-standing belief that AI and automation will eventually create an era of unprecedented abundance.

Musk argues that as intelligent machines become capable of performing nearly every form of labor more efficiently than humans, the cost of producing goods and delivering services could fall dramatically.

Factories powered by autonomous robots, AI-driven logistics networks, and self-managing infrastructure could reduce production costs to levels previously thought impossible. Scarcity—the primary reason money exists as a medium of exchange—could begin to disappear for many essential goods.

The idea is rooted in what economists often describe as a post-scarcity economy. If machines can manufacture products, grow food, transport goods, generate energy, and even provide professional services with minimal human intervention.

Society could enjoy access to resources at significantly lower costs. Musk believes AI may ultimately become the engine that powers this transformation, making many necessities nearly free or extremely inexpensive.

The transition to such a future is unlikely to be straightforward. The rapid deployment of AI and robotics is already disrupting industries ranging from manufacturing and transportation to software development and customer service.

Millions of workers could see their jobs fundamentally altered or replaced by intelligent systems over the coming decade. This raises critical questions about employment, wealth distribution, and economic stability during the transition period.

To address these concerns, Musk has repeatedly expressed support for concepts such as Universal Basic Income, arguing that governments may need to provide financial assistance if AI eliminates a significant share of traditional employment.

Under such a system, citizens would receive regular payments regardless of whether they are employed, helping maintain purchasing power while society adapts to widespread automation.

Despite the optimism surrounding AI, many economists remain cautious about predictions that money itself will become irrelevant. Markets are built not only around production costs but also around ownership, intellectual property, land, energy, natural resources, and human preferences.

Even if AI dramatically reduces manufacturing expenses, limited resources such as housing, rare minerals, healthcare, and premium services would likely continue to carry economic value.

Access to advanced AI infrastructure may not be evenly distributed. Companies and governments that control powerful AI models, semiconductor manufacturing, energy production, and robotic systems could accumulate significant economic influence.

This concentration of technological power could create new forms of inequality rather than eliminating the need for money altogether.

Musk’s comments highlight the extraordinary pace at which AI is reshaping global industries. Breakthroughs in generative AI, humanoid robotics, autonomous vehicles, and machine learning are already redefining productivity across multiple sectors.

Major technology companies are investing hundreds of billions of dollars into AI infrastructure, suggesting that the next decade could witness one of the largest technological shifts since the Industrial Revolution.

Whether or not money truly won’t matter by 2036 remains highly speculative. What is far more certain is that artificial intelligence and robotics will continue to redefine work, business, and economic systems.

As automation accelerates, governments, businesses, and society will need to adapt policies and institutions to ensure that the benefits of AI-driven prosperity are shared broadly, rather than concentrated among a small number of technology owners.

Nvidia Weighs $250bn Financing Guarantee For OpenAI In Landmark AI Infrastructure Push

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Nvidia is in talks to provide approximately $250 billion in financing guarantees for OpenAI as part of a massive data center project in Ohio, according to a Wall Street Journal report, in a move that would deepen the chipmaker’s role in financing the artificial intelligence infrastructure boom while securing long-term demand for its processors.

The proposed arrangement would support OpenAI’s plans to lease a 10-gigawatt AI data center campus being developed in southern Ohio by an energy subsidiary of Japan’s SoftBank, marking what could become one of the largest AI infrastructure investments ever undertaken.

If completed, the project would represent a major strategic shift for OpenAI, allowing the ChatGPT developer to gradually build greater control over its computing infrastructure rather than relying primarily on cloud providers such as Microsoft, Amazon and Oracle for the enormous computing power needed to train and operate advanced AI models.

The deal is also expected to extend Nvidia’s influence beyond supplying chips into financing the infrastructure that powers artificial intelligence, boosting its dominant position at the center of the global AI ecosystem. The Wall Street Journal reported that the overall project is expected to cost more than $500 billion, including the Nvidia graphics processors that would eventually populate the facility.

Under the proposed structure, Nvidia’s $250 billion guarantee would cover the project’s lease obligations and debt financing but would not include the cost of the AI chips themselves. Separately, Nvidia is reportedly discussing financing OpenAI’s chip purchases worth as much as $350 billion, potentially bringing its total financial exposure to roughly $600 billion if both arrangements proceed.

Such financing commitments would help reassure banks and other lenders backing the project by strengthening the credit profile of the development, lowering financing risks for one of the world’s most capital-intensive technology investments.

The first phase of the campus is expected to be completed in 2028 and deliver approximately 800 megawatts of computing capacity, with additional phases gradually expanding the project toward its planned 10-gigawatt scale. To put that into perspective, a 10-gigawatt data center would consume roughly as much electricity as several large metropolitan areas combined, highlighting the unprecedented energy demands of next-generation artificial intelligence.

The project also is part of the growing convergence of technology, energy and geopolitics.

According to the report, the electricity allocation for the Ohio campus is controlled by the U.S. government and funded separately by Japan under a recent bilateral trade agreement linked to Tokyo’s $33 billion investment in a natural gas plant. U.S. Commerce Secretary Howard Lutnick is reportedly involved in determining access to the power supply, underscoring the strategic importance governments increasingly place on AI infrastructure.

OpenAI is said to have been in advanced negotiations for several weeks to lease the site and is viewed as the leading prospective tenant. Other major AI developers, including Anthropic, Microsoft and Google, have also reportedly discussed the project with Lutnick in recent weeks, suggesting the campus could eventually host multiple AI companies.

The discussions highlight an important evolution in the economics of artificial intelligence. Until recently, Nvidia’s business model centered on selling high-performance GPUs to cloud providers and enterprise customers. By helping finance AI infrastructure directly, the company would effectively secure years of future chip demand while reducing the risk that customers delay purchases because of funding constraints.

The move, though costly, offers OpenAI a silver lining. Owning or controlling dedicated computing infrastructure could reduce dependence on hyperscale cloud providers, provide greater flexibility in deploying increasingly sophisticated AI models and potentially lower long-term operating costs as computing demand continues to surge.

The proposed transaction also shows that technology companies are increasingly turning to combinations of debt, equity and financing guarantees to fund projects whose costs now rival those of major national infrastructure developments. The approach becomes an alternative to relying solely on corporate balance sheets.

Industry analysts expect global spending on AI infrastructure to exceed $700 billion this year, fueled by intense competition among leading AI developers to build larger data centers, acquire more advanced processors and secure sufficient electricity to power next-generation AI systems.

The Ohio development, if finalized, would rank among the largest AI infrastructure projects ever announced and further cement Nvidia’s position as a central financial enabler of the industry’s next phase of expansion.

Cloud Giant Naver Shares Surge After Nvidia Takes $1bn Stake To Back South Korea AI Data Center Expansion

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Shares of South Korean internet and cloud computing giant Naver Corp. climbed more than 10% on Monday after the company announced that Nvidia will invest $1 billion for a 4.5% equity stake, strengthening their strategic partnership to build next-generation artificial intelligence infrastructure.

The investment forms part of a broader plan to expand Naver’s AI data center capacity in South Korea and marks another significant step in Nvidia’s global push to develop sovereign AI infrastructure beyond the United States. The transaction augments Nvidia’s growing strategy of investing directly in key ecosystem partners that can accelerate demand for its latest AI chips while helping countries build domestic AI capabilities.

Under the agreement, Naver will issue 7.2 million new shares to Nvidia at 204,500 won per share, representing a modest 1% discount to Friday’s closing price. The investment will make Nvidia one of Naver’s largest shareholders with a 4.5% stake, behind South Korea’s National Pension Service, which owns 9.25%, and BlackRock Fund Advisors with 6.12% as of the end of 2025.

The equity purchase follows the companies’ June announcement that they would jointly develop gigawatt-scale AI infrastructure across South Korea and international markets, targeting demand for sovereign AI in Asia-Pacific, Europe and the Middle East.

The sovereign AI concept, championed by Nvidia Chief Executive Jensen Huang, encourages governments and enterprises to build AI infrastructure that allows countries to retain control over their data, computing resources and AI models rather than relying exclusively on foreign cloud providers.

The strategy has become increasingly important as governments seek greater technological independence amid intensifying geopolitical competition and stricter regulations governing data sovereignty.

Up To $10 Billion AI Infrastructure Project

The investment is part of a broader financing package announced on Friday. Alternative asset manager Brookfield will provide up to $9 billion as the project’s capital partner, bringing total planned funding for the expansion to as much as $10 billion.

The investment will support expansion of Naver’s GAK Sejong data center, currently South Korea’s largest hyperscale AI facility. The upgraded campus will deploy Nvidia’s latest Blackwell and next-generation Vera Rubin AI computing platforms and is expected to reach 200 megawatts of computing capacity by 2028.

While substantial, the project represents only the first phase of the companies’ longer-term ambitions.

Naver and Nvidia have previously outlined plans to develop gigawatt-scale AI infrastructure, a level of capacity roughly five times larger than the planned Sejong expansion and capable of supporting hundreds of thousands of Nvidia GPUs for training and running advanced AI models.

Analysts see the deal as a win-win for the companies. For Nvidia, the investment extends a strategy that increasingly combines semiconductor sales with direct equity investments in major AI developers and infrastructure partners. The company has already invested heavily across the AI ecosystem, including $30 billion in OpenAI and $10 billion in Anthropic, alongside numerous investments in cloud computing, robotics and AI startups. Taking an ownership stake in Naver gives Nvidia greater exposure to Asia’s rapidly expanding AI infrastructure market while helping secure long-term demand for its latest processors.

For Naver, the partnership significantly strengthens its position in South Korea’s competitive AI industry. Unlike global cloud leaders such as Amazon Web Services, Microsoft Azure and Google Cloud, Naver has focused on building AI services tailored to Korean-language applications and domestic enterprises. Expanding its computing infrastructure allows it to compete more effectively as AI workloads become more compute-intensive.

However, the announcement is another pointer to where investors’ interest lies in the AI market. Technology companies worldwide are committing hundreds of billions of dollars to expand data centers capable of supporting generative AI applications. Hyperscale cloud providers continue to invest aggressively, while countries are increasingly seeking domestic AI infrastructure for economic and national security reasons.

Jensen Huang has repeatedly argued that AI infrastructure should become national infrastructure, comparable to electricity grids or telecommunications networks, enabling countries to retain greater control over critical digital capabilities.

“When the vision is fully realized, Naver will be 10 times larger,” Huang said when the partnership was unveiled in June, underscoring the scale of the companies’ long-term ambitions.

Investors welcomed the announcement as validation of Naver’s AI strategy and its growing importance within Nvidia’s global ecosystem. The more than 10% jump in Naver’s share price reflected expectations that Nvidia’s investment will accelerate the company’s AI expansion while enhancing its competitive position in cloud computing and enterprise AI services.

Why X Banned 42,000 AI-Powered Accounts Automating Social Media Replies

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Social media platform X has intensified its efforts to combat inauthentic activity by removing approximately 42,000 accounts that were found to be automating AI-generated replies.

The large-scale enforcement action reflects the platform’s growing concern over the misuse of artificial intelligence to manipulate online conversations, inflate engagement metrics, and spread low-quality or misleading content.

As AI tools become increasingly accessible, platforms are facing new challenges in distinguishing genuine human interaction from automated participation.

The affected accounts reportedly relied on generative AI systems to produce instant replies to trending posts, popular creators, and breaking news stories.

While some accounts were designed to increase visibility for businesses or influencers, others appeared to be part of coordinated engagement networks aimed at boosting reach, shaping public opinion, or driving traffic to external websites.

By generating context-aware responses at scale, these bots could imitate human conversation well enough to avoid simple spam detection methods. Artificial intelligence has transformed content creation by making it possible to generate coherent text within seconds.

This technological advancement has also created opportunities for abuse. Automated AI replies can overwhelm discussions, bury authentic voices, and create the false impression that certain opinions enjoy widespread public support.

During major news events, elections, financial market movements, or cryptocurrency discussions, coordinated AI-generated responses can distort public perception and contribute to misinformation.

X has repeatedly stated that maintaining authentic conversations remains one of its top priorities.

The removal of 42,000 automated accounts signals a broader strategy to improve the quality of interactions on the platform. By targeting accounts that rely primarily on AI-generated engagement rather than genuine participation, the company hopes to reduce spam, increase trust among users, and preserve meaningful dialogue.

The decision also reflects an industry-wide trend. Social media companies including Meta, TikTok, YouTube, and LinkedIn have all expanded their investments in AI detection technologies and content moderation systems. Rather than banning artificial intelligence outright, platforms are increasingly focusing on how AI is used.

AI-assisted content created by real individuals is generally acceptable, while fully automated accounts designed to manipulate conversations or deceive users are more likely to violate platform policies.

For businesses and content creators, the enforcement action serves as an important reminder that sustainable audience growth depends on authentic engagement rather than artificial amplification.

Many marketers have experimented with AI-powered automation to manage customer interactions or maintain activity across multiple accounts. Platforms are becoming more sophisticated in identifying behavior patterns associated with excessive automation, making compliance with platform rules increasingly important.

The crackdown also raises broader questions about the future of AI on social media.

As language models continue to improve, distinguishing between human-written and AI-generated content will become even more challenging. This places greater responsibility on platforms to develop transparent moderation policies while balancing innovation, free expression, and user trust.

Regulators in several jurisdictions are exploring rules that could require clearer disclosure when AI is used to create or distribute online content. X’s removal of 42,000 AI-driven reply accounts underscores the growing battle against automated manipulation in the digital age.

While artificial intelligence offers tremendous benefits for productivity, creativity, and communication, its misuse can undermine the credibility of online communities.

As AI technology continues to evolve, platforms, developers, businesses, and users will all play a critical role in ensuring that digital conversations remain authentic, trustworthy, and centered on genuine human interaction.

Phantom Wallet to Discontinue Monad Support Amid Multichain Strategy Shift

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Phantom Wallet has announced that it will officially end support for the Monad blockchain on August 12, marking the conclusion of its integration with one of the most closely watched Layer 1 blockchain test ecosystems.

While the decision may disappoint users who experimented with Monad through Phantom, it also reflects the rapidly evolving nature of blockchain infrastructure, where wallet providers continuously reassess which networks to maintain based on technical priorities, user demand, and long-term strategic direction.

For existing Monad users, the announcement means that Phantom will no longer support Monad accounts or assets after the specified date. Users are expected to migrate their wallets or export their private keys and seed phrases to another compatible wallet before support is discontinued.

Failure to do so could make accessing Monad-based assets through Phantom significantly more difficult, although the assets themselves remain on the blockchain rather than inside the wallet application.

Monad has attracted considerable attention throughout its development due to its ambition of delivering a highly scalable Ethereum-compatible Layer 1 network capable of processing thousands of transactions per second while maintaining low latency.

Built with full EVM compatibility, Monad seeks to provide developers with a seamless migration path from Ethereum without sacrificing performance. The project has raised substantial funding and cultivated an active developer community, making it one of the industry’s most anticipated blockchain launches.

Phantom, meanwhile, has evolved far beyond its origins as a Solana-focused wallet. Over the past few years, the platform expanded support for Ethereum, Polygon, Base, Bitcoin, and several other ecosystems, positioning itself as a leading multichain wallet.

However, maintaining support for every emerging blockchain requires engineering resources, ongoing security audits, infrastructure maintenance, and customer support. As a result, wallet providers occasionally streamline supported networks to focus on ecosystems with stronger long-term adoption or strategic importance.

The removal of Monad support should not necessarily be interpreted as a negative judgment on Monad’s technology or future prospects. Wallet integrations are influenced by numerous operational and business considerations that extend beyond the technical capabilities of a blockchain.

In many cases, blockchain ecosystems continue to grow successfully even after changes in wallet support, particularly if alternative wallet providers continue serving their communities.

For developers building on Monad, the announcement underscores the importance of maintaining interoperability across multiple wallet providers. Depending too heavily on a single wallet can expose users to unnecessary friction whenever strategic changes occur.

Diversifying wallet compatibility has become a best practice as blockchain ecosystems mature and user expectations evolve. From the perspective of the broader crypto industry, Phantom’s decision highlights the increasingly competitive landscape among blockchain networks.

As dozens of Layer 1 and Layer 2 solutions compete for users, developers, and liquidity, infrastructure providers must carefully prioritize where to allocate development resources. Wallet support has become an important signal of ecosystem maturity, but it is only one component of a blockchain’s overall success.

Users affected by the change should review Phantom’s guidance before the August 12 deadline and ensure they have safely backed up their recovery phrase. Migrating to a compatible wallet before support officially ends will help prevent disruptions and preserve uninterrupted access to Monad assets.

Phantom’s withdrawal from the Monad ecosystem represents another reminder that crypto infrastructure continues to evolve rapidly. While integrations may come and go, the resilience of decentralized networks lies in their openness, allowing users to retain ownership of their assets regardless of which wallet they choose to use.