The New York Budgets

Category: Tech

  • Amazon Outage Shuts Down Internet Access for Millions Across the U.S.

    Amazon Outage Shuts Down Internet Access for Millions Across the U.S.

    Microsoft Digital Lifestyle Stock Photos, High-Res Pictures, and Images. © Getty Images
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    Monday’s widespread outage at Amazon Web Services (AWS) AMZN -1.95% ▼ served as a stark wake-up call. For millions of users across the United States and beyond, the internet ground to a halt, rendering popular platforms like Reddit, Roblox, Snapchat, and even critical services such as online banking inaccessible for hours. The disruption, which began late Sunday night and lingered into the afternoon, exposed the vulnerabilities in our increasingly centralized online infrastructure. As AWS, the cloud computing arm of e-commerce giant Amazon, finally declared the issue resolved by late Monday, questions lingered about the reliability of the systems that power much of the modern web.

    The outage, described by experts as one of the most significant in recent years, affected over 2,000 companies and services worldwide. From social media giants to gaming empires and financial institutions, the ripple effects were felt far and wide. “This kind of outage, where a foundational internet service brings down a large swath of online services, only happens a handful of times in a year,” said Daniel Ramirez, director of product at Downdetector by Ookla, in an interview with CNET. “They probably are becoming slightly more frequent as companies are encouraged to completely rely on cloud services and their data architectures are designed to make the most out of a particular cloud platform.”

    According to AWS’s official status updates, the trouble began at 11:49 p.m. PT on Sunday, when the company first noticed increased error rates for services in its US-East-1 region—a massive data center hub in northern Virginia that supports operations across the US and Europe. By 12:26 a.m. PT, engineers had pinpointed the initial culprit: DNS resolution issues affecting regional endpoints for DynamoDB, AWS’s managed NoSQL database service.

    DNS, or Domain Name System, acts as the internet’s phonebook, translating user-friendly web addresses like “reddit.com” into the numerical IP addresses that computers use to connect. When DNS fails, it’s like losing the map to your destination—services are still there, but users can’t reach them. “It’s always DNS!” is a common refrain among tech professionals, as noted in reports from BBC News, highlighting how such seemingly mundane errors can cascade into widespread havoc.

    As the night wore on, AWS resolved the DNS problem, but new challenges emerged. Network connectivity issues persisted, forcing the company to implement throttling—temporarily limiting the power and performance of certain operations—to stabilize the system. “Over time we reduced throttling of operations and worked in parallel to resolve network connectivity issues until the services fully recovered,” AWS stated in its final update. By 3:01 p.m. PT on Monday, all services were back to normal, with full resolution announced at 3:53 p.m. PT.

    The timing couldn’t have been worse. Issues appeared largely contained as the East Coast started its workday, but reports surged dramatically after 8 a.m. PT when the West Coast came online. Downdetector, an outage-tracking platform owned by Ziff Davis, recorded a staggering 9.8 million user reports globally, with 2.7 million from the US alone. The UK followed with over 1.1 million, and significant numbers came from Australia, Japan, the Netherlands, Germany, and France. At its peak around 10 a.m. PT, approximately 280 services were still experiencing lingering problems.

    Among the hardest hit were consumer favorites: Reddit went dark until around 4:30 a.m. PT, Roblox and Fortnite left gamers frustrated, Snapchat users couldn’t send snaps, and even Amazon’s own Ring doorbells and e-commerce site faced intermittent failures. Financial services like Venmo and various online banking platforms were disrupted, as were the PlayStation Network, Verizon communications, and YouTube. In the UK, banks such as Lloyds and Halifax reported issues, while government services like HMRC (Her Majesty’s Revenue and Customs) were affected, per BBC reports.

    At the heart of the disruption lies AWS’s outsized role in the digital ecosystem. As the world’s leading cloud provider, AWS underpins roughly a third of the internet, offering scalable computing, storage, and database services that allow companies to outsource their infrastructure needs. This model saves businesses from maintaining expensive on-premise servers, but it also creates single points of failure. When AWS sneezes, the internet catches a cold.

    Comparisons to past incidents abound. Similar to the 2021 Fastly content delivery network outage and the 2024 CrowdStrike cybersecurity glitch, Monday’s event underscored the fragility of our interconnected web. “The reliance on a small number of big companies to underpin the web is akin to putting all of our eggs in a tiny handful of baskets,” explained a The NY Budgets analysis. “When it works, it’s great, but only one small thing needs to go wrong for the internet to fall to its knees in a matter of minutes.”

    The root cause, as later detailed by AWS at 8:43 a.m. PT, was traced to “an underlying internal subsystem responsible for monitoring the health of our network load balancers.” This subsystem’s failure amplified the initial DNS glitch, leading to degraded performance across services like Amazon Elastic Compute Cloud (EC2), which provides virtual servers in the cloud.

    Experts like Luke Kehoe, an industry analyst at Ookla, emphasized the need for better resilience strategies. “The lesson here is resilience,” Kehoe told The NY Budgets. “Many organizations still concentrate critical workloads in a single cloud region. Distributing critical apps and data across multiple regions and availability zones can materially reduce the blast radius of future incidents.”

    Alternatives to AWS exist, but few match its scale. Microsoft’s Azure and Google’s Cloud Platform are the primary competitors, with smaller players like IBM, Alibaba, and even European upstarts such as Stackit (launched by Lidl’s parent company) vying for market share. Yet, AWS remains dominant, prompting calls from some quarters—particularly in Europe and the UK—for greater investment in sovereign cloud infrastructure to reduce dependency on US-based giants. As one anonymous government source confided to BBC reporters, discussions about a UK equivalent to AWS have surfaced, only to be dismissed with, “We already have AWS, over there.” Incidents like this, however, reveal why such complacency might be shortsighted.

    Amid the speculation, AWS and experts alike have ruled out a cyberattack as the cause. DNS issues can stem from malicious activities like distributed denial-of-service (DDoS) attacks, but there’s no evidence here. Instead, it appears to be a technical fault—possibly human error in configuration or a maintenance mishap at the northern Virginia facility, AWS’s oldest and largest data center.

    That said, outages like this can create opportunities for bad actors. Marijus Briedis, CTO at NordVPN, warned in a statement to CNET that hackers might exploit the chaos. “This is a cybersecurity issue as much as a technical one,” he said. “True online security isn’t only about keeping hackers out, it’s also about ensuring you can stay connected and protected when systems fail.” He advised users to be vigilant against phishing scams, such as fake emails urging password changes in the wake of the outage.

    Cloudflare’s CEO, in a light-hearted jab reported by BBC, summed up the relief felt by competitors: “AWS had a bad day.” For Amazon, however, the incident adds to a string of high-profile stumbles, raising questions about accountability in an industry where downtime can cost businesses millions.

    From a business perspective, the outage couldn’t have come at a more inopportune time for Amazon, with its third-quarter earnings report slated for October 30, 2025. Despite the disruption, Amazon’s stock (AMZN) showed resilience, closing Monday at $216.48—a 1.61% gain from the previous session. This outperformed the S&P 500’s 1.07% rise, the Dow’s 1.12% increase, and the Nasdaq’s 1.37% climb.

    However, the broader picture is mixed. Over the past month, AMZN shares have dipped 7.97%, underperforming the Retail-Wholesale sector’s 5.23% loss but lagging behind the S&P 500’s 1.08% gain. Analysts remain optimistic, with Zacks Consensus Estimates projecting full-year earnings of $6.83 per share (a 23.51% year-over-year increase) and revenue of $708.73 billion (up 11.09%). For the upcoming quarter, EPS is forecasted at $1.60 (11.89% growth), with revenue at $177.96 billion (12.01% rise).

    Recent analyst revisions have been positive, with the consensus EPS estimate rising 1.1% over the last 30 days, earning Amazon a Zacks Rank of #2 (Buy). Valuation metrics show a Forward P/E of 31.2—above the Internet-Commerce industry average of 21.03—and a PEG ratio of 1.41, slightly higher than the sector’s 1.38. The industry itself ranks in the top 24% of Zacks’ 250+ sectors, suggesting strong fundamentals despite occasional hiccups.

    Investors will be watching closely for any mention of the outage in Amazon’s earnings call, particularly regarding AWS’s growth trajectory. As the cloud division contributes significantly to Amazon’s profitability, ensuring uptime will be key to maintaining investor confidence.

    Monday’s AWS outage wasn’t just a technical blip; it was a reminder of our collective vulnerability in a cloud-dependent world. As more businesses migrate to platforms like AWS for efficiency and cost savings, the potential for widespread disruption grows. While the internet has bounced back—for now—the event prompts a reevaluation of diversification strategies, regional redundancies, and even geopolitical dependencies in tech infrastructure.

  • UK and US Move to Bolster Financial Ties in Advance of Trump Visit

    UK and US Move to Bolster Financial Ties in Advance of Trump Visit

    U.S. President Donald Trump, centre right, and British Prime Minister Keir Starmer arrive at Trump International Golf Links in Aberdeenshire, Scotland, Monday, July 28, 2025. © Jane Barlow/Pool Photo via AP, file

    Donald Trump flies into Britain on Tuesday evening for a three-day state visit, with the US and UK promising to boost financial ties, including by exploring closer alignment of their capital markets.

    UK Prime Minister Sir Keir Starmer wants to use Trump’s visit to showcase Britain as an inward investment hotspot, with US private equity company Blackstone pledging to invest £100bn in British assets over the next decade. US officials said there would be at least $10bn of investment deals in the technology sector, an agreement on nuclear co-operation and an exploration of “how the deep connections between our leading financial hubs can be maintained into the future”.  But Trump’s arrival could throw up problems for Starmer.

    The US president is unpopular in Britain and his schedule has been designed to shield him from any public or political protest. Trump will not address the UK parliament and is expected to travel by helicopter from the US ambassador’s residence in London to Windsor Castle and later to Starmer’s country retreat at Chequers. Trump has not yet finalised a deal, agreed with Starmer in May, to exempt British steel exports from US tariffs, although they do benefit from lower 25 per cent levies compared with the 50 per cent applied to other countries.

    British officials were in Washington on Monday holding urgent talks with US trade officials to try to conclude a deal that would exempt Scotch whisky from a 10 per cent tariff imposed on other UK exports.

    A senior US official said the White House was not “tracking” any announcement to reduce US tariffs on whisky, in a sign that an agreement was unlikely. But the official suggested it may well be discussed. Meanwhile, US officials would not be drawn on whether Trump would endorse Tommy Robinson, a far-right activist who is admired by figures on the American right and who organised a “Unite the Kingdom” rally in London on Saturday, attended by between 110,000 and 150,000 people.

    Asked whether he would speak out in support of Robinson, whose real name is Stephen Yaxley-Lennon, or even meet him, a US official said: “I don’t have anything on that right now.” For Trump, the highlight of the visit is expected to be a stay with King Charles and Queen Camilla at Windsor Castle, where he will be feted with a fly-past by military jets, a carriage procession and a state banquet.

    But Starmer will try to use the visit to focus on financial, tech and nuclear co-operation, in an attempt to bolster his claims to have a “growth agenda” and to move on from a series of scandals that have rocked his government. Starmer is facing a wave of anger among Labour MPs and questions over his judgment after sacking his US ambassador Lord Peter Mandelson last week over his links to the convicted paedophile Jeffrey Epstein.

    Trump is likely to be grilled over his own connections to Epstein at a press conference on Thursday, his last official business before returning to the US.

    The state visit will be preceded on Tuesday by talks in Downing Street between UK chancellor Rachel Reeves and US Treasury secretary Scott Bessent over closer financial co-operation.

    By aligning UK standards more closely with the US, Reeves would be hoping to increase access to the world’s deepest and most liquid financial markets, as well as attract greater American investment into Britain.

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    The push follows a period of intense political anxiety over an exodus of London-listed companies to the New York Stock Exchange and Nasdaq, as businesses seek higher valuations on the other side of the Atlantic. Trump will bring leading figures from Big Tech including OpenAI’s Sam Altman and chipmaker Nvidia’s NVDA +2.45% ▲ Jensen Huang on his delegation, while companies such as Rolls-Royce RYCEY +1.80% ▲, GSK GSK +1.35% ▲ and Microsoft MSFT +1.95% ▲ will attend a business roundtable at Chequers.

    US officials did not indicate to what extent Trump would press Starmer on Britain’s Online Safety Act, which has been a source of tension between Washington and London as some US tech companies have decried it as censorship.

    “How that may or may not play into the bilateral discussion that will take place with the prime minister is yet unknown. It may well arise, but it may not,” a senior US official said. “Free speech in the UK, but free speech elsewhere, is something that we in this administration are very much focused on,” they added.

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    Blackstone BX +2.65% ▲ is making its commitment to Britain as part of a broader $500bn investment push across Europe, which co-founder Stephen Schwarzman told The Financial Times aimed to profit from economic reforms and a revival of growth. Blackstone’s top leaders like Schwarzman and president Jonathan Gray have long considered the UK a key market for the $1.2tn in assets investment group, and they have strong ties with Downing Street.

    Blackstone is already one of the largest foreign investors in the UK, with billions put into digital infrastructure and ecommerce warehouses, among other things. It also has large corporate investments including Merlin Entertainments, the owner of Legoland, and was a major shareholder in the London Stock Exchange’s parent company until fully divesting its shares last year. 

  • China’s complex relationship with Nvidia’s H20 chip is marked by both its potential benefits and significant concerns

    China’s complex relationship with Nvidia’s H20 chip is marked by both its potential benefits and significant concerns

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    Chinese authorities have intensified scrutiny of domestic tech giants, including Tencent TCEHY -2.30% ▼, ByteDance, and Baidu BIDU -1.85% ▼, over their purchases of Nvidia’s NVDA -3.45% ▼ H20 AI chips, raising concerns about data security and urging companies to prioritize domestic alternatives. The regulatory pressure also extends to AMD AMD -2.10% ▼, while domestic chipmakers like SMIC 981.HK +5.20% ▲ benefit from the push toward technological self-sufficiency. Major Chinese firms like Alibaba BABA -1.95% ▼ face difficult decisions as they navigate between proven U.S. technology and regulatory pressure to adopt domestic alternatives.

    The Cyberspace Administration of China (CAC) and other regulatory bodies have held meetings with these firms and smaller tech companies in recent weeks, questioning the necessity of relying on U.S.-made chips when local options are available. This development threatens Nvidia’s recently restored access to the Chinese market and could generate billions in revenue for the U.S. government through a novel export deal, while highlighting China’s push for technological self-sufficiency in the global AI race.

    The CAC’s recent actions mark a significant escalation in China’s oversight of foreign AI technology. According to Reuters, Chinese officials have summoned major internet firms, including Tencent, ByteDance, and Baidu, to explain their reasons for purchasing Nvidia’s H20 chips, designed specifically for the Chinese market to comply with U.S. export restrictions. One source indicated that authorities expressed concerns about potential information risks, particularly the possibility that materials submitted by Nvidia for U.S. government review could contain sensitive client data. “The regulators are worried about what Nvidia might be sharing with U.S. authorities,” the source said, speaking on condition of anonymity due to the private nature of the meetings.

    While no outright ban on H20 purchases has been issued, Bloomberg News reported on August 12, 2025, that Chinese authorities have sent official notices discouraging the use of H20 chips for government or national security-related projects, affecting both state-owned enterprises and private companies. A separate report by The Information claimed that the CAC directed over a dozen tech firms, including Alibaba, to suspend Nvidia chip purchases entirely, citing data security concerns. These directives followed the Trump administration’s decision in July 2025 to reverse export curbs on the H20, allowing Nvidia to resume sales in China after a ban earlier this year.

    The CAC’s concerns were amplified by state-controlled media, with outlets like Yuyuan Tantian, affiliated with CCTV, publishing articles on platforms like WeChat that criticized the H20 chips for alleged security risks, lack of technological advancement, and environmental inefficiencies. Nvidia, in a statement on August 12, 2025, refuted these claims, asserting that the H20 is “not a military product or for government infrastructure” and emphasizing that China has ample domestic chip alternatives for its needs. Tencent, ByteDance, Baidu, and Alibaba did not respond to requests for comment, and the CAC remained silent on the matter.

    The scrutiny of Nvidia’s H20 chips comes amid heightened U.S.-China tensions over AI technology. The H20, a less-advanced version of Nvidia’s flagship AI chips, was developed to navigate U.S. export controls imposed in late 2023, which restricted sales of more powerful chips like the A100 and H100 to China. The Trump administration’s reversal of the H20 ban in July 2025 was part of a broader deal with Nvidia and AMD, announced last week, requiring the companies to remit 15% of their China sales revenue for certain advanced chips to the U.S. government. According to posts on X, this arrangement could generate billions of dollars for Washington, with Nvidia’s China sales alone accounting for $17 billion—or 13% of its total revenue—in its fiscal year ending January 26, 2025.

    However, China’s renewed guidance could jeopardize this revenue stream. By discouraging H20 purchases, Beijing is signaling its intent to reduce reliance on U.S. technology, a move that aligns with its broader “Made in China 2025” initiative to achieve technological self-sufficiency. Domestic chipmakers like Huawei and SMIC are ramping up production of AI accelerators, with Huawei’s Ascend series emerging as a viable rival to the H20. SMIC’s stock rose 5% on August 12, 2025, reflecting investor optimism about growing demand for locally produced chips.

    The regulatory pressure also extends to AMD, with Bloomberg reporting that China’s guidance affects its MI308 chip, though no specific notices targeting AMD were confirmed. AMD did not respond to inquiries outside regular business hours. The uncertainty surrounding foreign chip purchases has sparked speculation on X that Nvidia and AMD may raise prices for their chips in China to offset the 15% revenue share to the U.S. government, potentially further incentivizing Chinese firms to pivot to domestic alternatives.

    The global AI chip market, projected to reach $400 billion by 2027, is a critical battleground for U.S. and Chinese tech giants. Nvidia has long dominated the market, with its GPUs powering AI applications worldwide. In China, the company’s H20 chip was a lifeline after U.S. sanctions curtailed sales of its more advanced models. However, Beijing’s push for domestic alternatives threatens Nvidia’s market share, which accounted for 13% of its revenue in the last fiscal year.

    China’s domestic chip industry, while growing, faces challenges due to U.S. sanctions on advanced chipmaking equipment, such as lithography machines critical for producing cutting-edge processors. Despite these constraints, companies like Huawei have made significant strides, with posts on X highlighting the performance of Huawei’s Ascend chips in AI workloads. “Huawei’s chips are closing the gap with Nvidia’s H20,” tweeted one tech analyst, reflecting growing confidence in China’s capabilities.

    For Chinese tech giants, the CAC’s directives create a delicate balancing act. Companies like Tencent, ByteDance, and Baidu rely on AI chips to power their cloud computing, search, and social media platforms. While Nvidia’s H20 offers proven performance, the regulatory pressure to adopt domestic chips could force a shift, even if local alternatives lag in certain applications. Smaller tech firms, less equipped to navigate regulatory scrutiny, may face greater challenges in securing reliable chip supplies.

    At the heart of China’s caution is a deep-seated concern about data security and U.S. influence. The CAC’s meetings with Nvidia representatives last month focused on whether the H20 chip posed backdoor risks that could compromise Chinese user data and privacy. These concerns echo broader fears in Beijing that U.S. technology could be used to monitor or manipulate Chinese systems, a sentiment amplified by state media.

    Conversely, Washington has its own worries about China’s access to advanced AI chips. U.S. President Donald Trump’s suggestion on August 11, 2025, that Nvidia might be allowed to sell a scaled-down version of its Blackwell chip in China reflects a pragmatic approach to balancing economic interests with national security. However, this proposal has sparked debate, with critics arguing that even less-advanced U.S. chips could enhance China’s military capabilities. China’s foreign ministry responded on August 12, 2025, urging the U.S. to maintain a stable global chip supply chain, signaling its desire to avoid further escalation.

    China’s cautious stance on Nvidia’s H20 chips underscores the broader geopolitical tug-of-war over AI technology. For Nvidia, the regulatory hurdles threaten a critical market, forcing the company to navigate a complex landscape of compliance and competition. The 15% revenue-sharing deal with the U.S. government adds further pressure, potentially increasing costs for Chinese buyers and accelerating the shift to domestic alternatives.

    For Chinese tech firms, the CAC’s guidance reflects a broader push for technological independence, but it also risks disrupting their AI development timelines. While Huawei and SMIC are making strides, scaling production to meet domestic demand remains a challenge, particularly given U.S. restrictions on advanced manufacturing equipment. The global chip supply chain, already strained by sanctions and trade disputes, faces further uncertainty as both nations vie for dominance.

    As the AI race intensifies, the outcome of this standoff will have far-reaching implications. For now, China’s scrutiny of Nvidia’s H20 chips signals a bold step toward self-reliance, while the U.S. grapples with balancing economic gains against strategic concerns. The global tech industry, caught in the crossfire, awaits clarity on how this high-stakes rivalry will reshape the future of AI.

  • China’s dominance in the open-source AI sector has alarmed both Washington and Silicon Valley, prompting a reevaluation of strategies

    China’s dominance in the open-source AI sector has alarmed both Washington and Silicon Valley, prompting a reevaluation of strategies

    China’s aggressive push into open-source artificial intelligence (AI) is sending shockwaves through Washington and Silicon Valley, as free-to-use large language models (LLMs) from companies like DeepSeek, Alibaba, and others rapidly gain traction worldwide. These permissively licensed models, which allow developers and corporations to customize and deploy AI for commercial use without costly licensing fees, are reshaping the global AI landscape. This development has sparked alarm among U.S. policymakers and tech giants, who fear that Beijing’s strategy could set a new global standard for AI development, potentially eroding America’s technological dominance.

    The Rise of Chinese Open-Source AI

    China’s ascent in open-source AI has been swift and strategic. Companies like DeepSeek, a Beijing-based startup, and Alibaba Group, through its Qwen model, have released a series of advanced LLMs under open-source licenses, making them freely available to developers worldwide. Unlike proprietary models from U.S. firms like OpenAI and Anthropic, which often come with steep subscription costs or restricted access, these Chinese models offer high performance at zero cost, lowering barriers to entry for AI applications in industries ranging from healthcare to finance.

    A Wall Street Journal report on August 13, 2025, highlighted the global adoption of these models, noting that developers in Europe, Southeast Asia, and Latin America are increasingly integrating DeepSeek’s R-1 and Alibaba’s Qwen into their software and enterprise solutions. Posts on X echo this sentiment, with developers praising the models’ performance and accessibility. One user noted, “DeepSeek’s R-1 is outperforming some paid models in coding tasks, and it’s free. This is a game-changer for small startups.”

    The appeal of these models lies in their permissive licensing, which allows users to modify and deploy the code for commercial purposes without restrictions. This approach contrasts sharply with the closed ecosystems of many U.S.-based AI companies, which rely on proprietary systems to maintain competitive edges. For instance, OpenAI’s GPT-5, launched earlier this month, has faced criticism for its high subscription costs and limited accessibility for non-paying users, prompting some developers to explore Chinese alternatives.

    A Wake-Up Call for Washington

    The growing influence of Chinese open-source AI has caught the attention of U.S. policymakers, who view Beijing’s push as a deliberate attempt to shape global technical standards and exert soft power in the AI ecosystem. According to Foreign Affairs, policy specialists warn that Washington’s current AI strategy, which heavily favors proprietary development, risks ceding control of open-source innovation to China. “If the United States fails to account for the appeal of freely available models, American companies could surrender technological leadership in fast-moving markets like edge computing and enterprise software,” the publication noted.

    This concern is amplified by China’s broader ambitions. Beijing has invested heavily in AI as part of its “Made in China 2025” initiative, aiming to establish itself as a global leader in emerging technologies. By distributing open-source models, Chinese companies are not only gaining market share but also fostering a global developer community that aligns with their standards and tools. This strategy mirrors China’s earlier success in setting global standards for 5G technology through companies like Huawei.

    U.S. officials are particularly worried about the national security implications. At the Black Hat cybersecurity conference in August 2025, researchers highlighted the vulnerability of open-source LLMs to prompt-injection attacks and other manipulations, raising concerns about their use in critical infrastructure. The Biden administration has responded by exploring policies to strengthen safeguards for open-source AI, but analysts argue that a more proactive approach is needed to counter China’s momentum. “Washington needs to balance the advantages of openness with measures to protect intellectual property and national security,” said Dr. Li Wei, a cybersecurity expert at MIT.

    Silicon Valley, long accustomed to leading the AI race, is grappling with the implications of China’s open-source surge. Companies like OpenAI, Anthropic, and Google, which have built their business models around proprietary AI systems, now face pressure to adapt to a market where free alternatives are gaining ground. “China is commoditizing AI,” tweeted one industry analyst. “Developers will always go with open source when available, and large businesses prefer it for privacy and customization.”

    The market dynamics are shifting rapidly. The global AI market, projected to reach $1.8 trillion by 2030, is increasingly driven by enterprise adoption and edge computing, where open-source models excel due to their flexibility and cost-effectiveness. Chinese models like DeepSeek’s R-1 are particularly well-suited for edge AI applications, such as autonomous vehicles and IoT devices, where lightweight, customizable models are critical. This has led some Silicon Valley firms to reconsider their strategies, with rumors that companies like Meta AI are exploring more open-source offerings to compete.

    The financial stakes are high. OpenAI, valued at $150 billion in 2024, relies heavily on its subscription-based ChatGPT Plus and API services for revenue. However, the availability of free, high-quality alternatives could erode its market share, particularly among cost-conscious startups and international developers. Similarly, Anthropic’s Claude 3.5 and xAI’s Grok 3, while competitive, face challenges in matching the accessibility of Chinese models. xAI, for instance, offers a free tier for Grok 3 on platforms like x.com, but its usage quotas are limited, potentially pushing users toward Chinese alternatives.

    The proliferation of open-source AI models raises significant security and ethical questions. Cybersecurity experts warn that open-source LLMs are highly susceptible to attacks, such as prompt injections, where malicious inputs can manipulate a model’s outputs. This vulnerability is particularly concerning for applications in sensitive sectors like finance and healthcare. At the Black Hat conference, researchers emphasized the need for robust safeguards, noting that “the lessons of the past 25 years in cybersecurity have been forgotten” in the rush to adopt open-source AI.

    Moreover, the global adoption of Chinese models raises concerns about data privacy and geopolitical influence. While open-source licenses allow for transparency, there is unease about the potential for Chinese firms to embed backdoors or collect metadata through widespread use of their models. U.S. policymakers are exploring regulations to address these risks, but such measures could stifle innovation if not carefully balanced.

    China’s open-source AI strategy is not just about technology; it’s about global influence. By offering free, high-quality models, Chinese companies are building a global developer ecosystem that aligns with their technological frameworks. This approach mirrors the open-source software movement of the 1990s, when Linux challenged Microsoft’s dominance by offering a free, customizable alternative. Today, China is positioning itself as the Linux of AI, with companies like DeepSeek and Alibaba leading the charge.

    Alibaba’s Qwen, for example, has gained significant traction in Asia and Europe, with developers citing its ease of integration and robust multilingual capabilities. DeepSeek’s R-1, meanwhile, has been praised for its performance in coding and scientific applications, making it a favorite among academic researchers and startups. These models are not only competing on price but also on quality, with benchmarks showing they rival or even surpass some Western models in specific tasks.

    For Washington and Silicon Valley, the rise of Chinese open-source AI is a wake-up call. To remain competitive, the U.S. must invest in its own open-source initiatives while addressing security concerns. Some experts advocate for a hybrid approach, combining the benefits of open-source innovation with robust oversight to protect national interests. “The U.S. can’t afford to ignore the appeal of open-source AI,” said Dr. Sarah Kim, a technology policy analyst at Stanford. “But it needs a strategy that fosters innovation without compromising security.”

    On the corporate front, Silicon Valley is beginning to respond. Meta AI, which has long championed open-source AI through projects like LLaMA, is reportedly accelerating its efforts to release more advanced models. Meanwhile, startups like xAI are exploring ways to expand free access to their models, such as Grok 3, to compete with Chinese offerings. For developers interested in exploring xAI’s capabilities, the company directs them to its API documentation at https://x.ai/api.

    As the AI race intensifies, China’s open-source strategy has exposed vulnerabilities in the U.S.’s proprietary-centric approach. The question now is whether Washington and Silicon Valley can adapt quickly enough to maintain their edge in a market where accessibility and cost are becoming as critical as technological prowess. For now, China’s lead in open-source AI is reshaping the global conversation, forcing the U.S. to confront a future where its dominance is no longer guaranteed.

  • OpenAI’s troubled GPT-5 rollout has exposed significant hurdles to maintaining its leadership position in the fiercely competitive AI market

    OpenAI’s troubled GPT-5 rollout has exposed significant hurdles to maintaining its leadership position in the fiercely competitive AI market

    OpenAI, the trailblazing artificial intelligence company behind ChatGPT, is facing significant turbulence with the recent rollout of its latest language model, GPT-5. Launched earlier this month to its 800 million ChatGPT users, the upgrade promised breakthroughs in coding, creativity, and conversational authenticity. However, a wave of user dissatisfaction, coupled with technical hiccups, has cast a shadow over the release, raising questions about OpenAI’s ability to maintain its dominance in the rapidly evolving AI market. CEO Sam Altman has acknowledged the “bumpy” launch, pledging to address user concerns, including improving the chatbot’s tone and restoring access to older models for paying customers.

    A High-Stakes Launch Falls Short

    When OpenAI unveiled GPT-5 on August 7, 2025, it heralded the model as a significant leap forward, boasting enhanced capabilities in coding, creative writing, and a reduction in what the company called “sycophancy”—the tendency of AI to overly agree with users. The rollout was intended to solidify OpenAI’s position as the leader in generative AI, especially as competitors like Anthropic, xAI, and Google’s DeepMind continue to gain ground with their own advanced models. Yet, the launch has been anything but smooth.

    Posts on X and other social media platforms reveal widespread user frustration, with many claiming that GPT-5’s performance falls short of the promised “PhD-level expertise.” Users have reported issues ranging from inconsistent responses to a colder, less engaging conversational tone compared to its predecessor, GPT-4o. “It feels like GPT-5 is trying too hard to be neutral and ended up robotic,” tweeted one user, echoing a sentiment shared across tech forums. In response to the backlash, OpenAI has doubled its rate limits to handle the influx of complaints and is actively addressing user feedback.

    Sam Altman, OpenAI’s CEO, admitted the launch’s shortcomings in a recent statement, calling it “a little more bumpy than expected.” He emphasized that while GPT-5 represents a step toward more advanced AI, true artificial general intelligence (AGI)—a system capable of continuous learning and human-like reasoning—remains elusive. “We’re not there yet,” Altman said, acknowledging that critical capabilities like adaptive learning are still missing. This candid admission has sparked debate about whether OpenAI overhyped GPT-5’s capabilities to maintain investor confidence and market share.

    Market Dynamics: A Crowded AI Landscape

    The AI market is more competitive than ever, with OpenAI facing mounting pressure from rivals. Anthropic’s Claude 3.5, xAI’s Grok 3, and Google’s Gemini have all made significant strides, offering users alternatives that prioritize different strengths, such as safety, conversational warmth, or specialized applications. Market analysts estimate that OpenAI’s valuation, which soared to $150 billion in 2024, could face scrutiny if user dissatisfaction persists. Posts on X suggest that some investors view the GPT-5 rollout as a test of OpenAI’s ability to deliver on its ambitious promises amid this crowded field.

    According to a recent report from VentureBeat, OpenAI’s decision to roll out GPT-5 to all 800 million ChatGPT users simultaneously may have contributed to the launch’s challenges. Unlike previous phased rollouts, the company opted for a universal release to maximize impact, but this approach strained its infrastructure and left little room for iterative improvements based on early feedback. The move has drawn comparisons to software launches in the tech industry, where premature scaling often leads to user dissatisfaction.

    The broader AI market is projected to grow to $1.8 trillion by 2030, driven by demand for generative AI in industries like healthcare, finance, and education. OpenAI’s early dominance, fueled by ChatGPT’s viral success in 2022, gave it a first-mover advantage. However, competitors are closing the gap. Anthropic, founded by former OpenAI researchers, has gained traction with its focus on safe and interpretable AI systems. Meanwhile, xAI’s Grok 3, available on platforms like x.com and mobile apps, offers users a free tier with robust capabilities, posing a direct challenge to OpenAI’s subscription-based model.

    Addressing User Concerns: Tone and Access to Older Models

    One of the most vocal criticisms of GPT-5 centers on its conversational tone, which some users describe as “cold” or “detached” compared to GPT-4o. In response, Altman has promised to refine the model’s tone to make interactions feel more natural and engaging. “We’ve heard the feedback loud and clear,” he said in a recent interview. “We’re working on updates to make GPT-5 feel more human and less like a machine reciting facts.” This acknowledgment reflects OpenAI’s attempt to balance technical precision with user expectations for warmth and relatability in AI interactions.

    Additionally, OpenAI has taken the unusual step of restoring access to older models like GPT-4o for paying customers, a move that has sparked mixed reactions. While some users welcome the option to revert to a model they found more reliable, others see it as an admission of GPT-5’s shortcomings. “Why push a new model if you’re already bringing back the old one?” tweeted one user, reflecting a sentiment that OpenAI may have rushed the rollout. The decision to offer older models is limited to premium subscribers, which has raised concerns about accessibility for free-tier users who make up the majority of ChatGPT’s user base.

    Financial and Strategic Implications

    The rocky rollout has financial implications for OpenAI, which relies heavily on its subscription-based ChatGPT Plus and enterprise offerings. While the company does not disclose specific revenue figures, analysts estimate that ChatGPT Plus, priced at $20 per month, generates hundreds of millions in annual revenue. The decision to allow paying customers to access older models could help retain subscribers frustrated with GPT-5, but it also risks undermining confidence in the new model.

    Strategically, OpenAI is navigating a delicate balance between innovation and user satisfaction. The company’s API service, which powers integrations for developers and businesses, remains a key growth driver. However, any perception of instability in its flagship models could deter enterprise clients who prioritize reliability. To address this, OpenAI has pledged to release regular updates to GPT-5, with a focus on improving performance and addressing user feedback. For developers interested in leveraging GPT-5, OpenAI has directed them to its API documentation at https://x.ai/api, signaling a commitment to supporting enterprise use cases despite the consumer-facing challenges.

    Looking Ahead: Can OpenAI Regain Momentum?

    The GPT-5 rollout serves as a critical test for OpenAI as it seeks to maintain its position as the undisputed leader in generative AI. While the company’s early successes with ChatGPT set a high bar, the current backlash underscores the challenges of scaling AI systems to meet diverse user expectations. Posts on X suggest that some users are already exploring alternatives like xAI’s Grok 3, which offers a free tier with competitive features and a conversational style that some find more engaging.

    Industry experts remain cautiously optimistic about OpenAI’s ability to recover. “This isn’t the first time a major tech company has faced a bumpy product launch,” said Dr. Emily Chen, an AI researcher at Stanford University. “OpenAI has the talent and resources to iterate quickly, but they need to prioritize transparency and user trust to avoid losing ground to competitors.” Chen’s comments reflect a broader sentiment that OpenAI’s long-term success hinges on its ability to address user concerns while continuing to push the boundaries of AI innovation.

    For now, OpenAI is doubling down on its commitment to improvement. Altman’s acknowledgment of the rollout’s challenges, combined with promises of tonal refinements and access to older models, signals a willingness to adapt. Whether these efforts will be enough to restore user confidence and fend off competitors remains to be seen. As the AI race intensifies, OpenAI’s next moves will be closely watched by users, investors, and industry observers alike.

  • Perplexity AI Wants to Buy Google’s Chrome Browser for $34.5 Billion

    Perplexity AI Wants to Buy Google’s Chrome Browser for $34.5 Billion

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    AI startup Perplexity AI has made an unsolicited $34.5 billion bid for Google’s GOOGL -1.20% ▼ Chrome browser.

    That figure is higher than Perplexity’s current valuation, but the company said several investors have agreed to back the deal. In July, Perplexity was valued at $18 billion as part of an extension that valued the company at $14 billion months earlier.

    Google did not immediately respond to NYB’s request for comment. The Wall Street Journal was first to report the bid.

    Perplexity is best known for its AI-powered search engine that gives users simple answers to questions and links out to the original source material on the web. Last month, it launched its own AI-powered browser called Comet.

    The startup is in the middle of a battle for supremacy in generative AI, with companies including Meta and OpenAI offering massive salaries and signing bonuses to top engineers. Megacap tech companies are spending tens of billions of dollars a year on AI infrastructure to build large language models and run hefty workloads, while startups are raising billions of dollars from venture investors, hedge funds and tech giants to pay for the hardware and headcount needed to compete.

    Perplexity was approached by Meta earlier this year about a potential acquisition, but the companies did not finalize a deal.

    Perplexity’s bid comes after the U.S. Department of Justice proposed Google divest Chrome as part of the antitrust suit the company lost last year. The judge in the case ruled that Google has held an illegal monopoly in its core market of internet search.

    In response, Google said that the DOJ was pushing “a radical interventionist agenda,” and that the agency’s proposal was “wildly overbroad.” The company has not yet disclosed how it plans to adjust its business following the antitrust ruling.

    Chrome, which Google launched in 2008, provides the search giant with data it then uses for targeting ads. The DOJ said in a filing following the court’s decision that forcing the company to get rid of Chrome would create a more equal playing field for search competitors.

    “To remedy these harms, the [Initial Proposed Final Judgment] requires Google to divest Chrome, which will permanently stop Google’s control of this critical search access point and allow rival search engines the ability to access the browser that for many users is a gateway to the internet,” the DOJ wrote.

    Perplexity’s bid for Chrome is not the first time it’s taken a big swing.

    The startup submitted a proposal to merge with the short-form video app TikTok in January. TikTok’s future in the U.S. has been uncertain since 2024, when Congress passed a bill that would ban the platform unless its Chinese owner, ByteDance, divested from it.

    As of August, Perplexity’s proposed structure for a TikTok deal has not materialized.

  • OpenAI has officially launched GPT-5, its most advanced model to date, following a two-year development period

    OpenAI has officially launched GPT-5, its most advanced model to date, following a two-year development period

    OpenAI on Thursday announced GPT-5, its latest and most advanced large-scale artificial intelligence model.

    The company is making GPT-5 available to everyone, including its free users. OpenAI said the model is smarter, faster and “a lot more useful,” particularly across domains like writing, coding and health care.

    “I tried going back to GPT-4, and it was quite miserable,” OpenAI CEO Sam Altman said in a briefing with reporters.

    Since launching its AI chatbot ChatGPT in 2022, OpenAI has rocketed into the mainstream. The company said it expects to hit 700 million weekly active users on ChatGPT this week, and it is in talks with investors about a potential stock sale at a valuation of roughly $500 billion, as CNBC News previously reported.

    OpenAI said GPT-5′s hallucination rate is lower, which means the model fabricates answers less frequently. The company said it also carried out extensive safety evaluations while developing GPT-5, including 5,000 hours of testing. 

    Instead of outright refusing to answer users’ questions if they are potentially risky, GPT-5 will use “safe completions,” OpenAI said. This means the model will give high-level responses within safety constraints that can’t be used to cause harm. 

    “GPT-5 has been trained to recognize when a task can’t be finished, avoid speculation and can explain limitations more clearly, which reduces unsupported claims compared to prior models,” said Michelle Pokrass, a post-training lead at OpenAI.

    During the briefing, OpenAI demonstrated how GPT-5 can be used for “vibe coding,” which is a term for when users generate software with AI based on a simple written prompt. 

    The company asked GPT-5 to create a web app that could help an English speaker learn French. The app had to have an engaging theme and include activities like flash cards and quizzes as well as a way to track daily progress. OpenAI submitted the same prompt into two GPT-5 windows, and it generated two different apps within seconds. 

    The apps had “some rough edges,” an OpenAI lead said, but users can make additional tweaks to the AI-generated software, like changing the background or adding additional tabs, as they see fit.

    GPT-5 is rolling out to OpenAI’s Free, Plus, Pro and Team users on Thursday. This launch will be the first time that Free users have access to a reasoning model, which is a type of model that “thinks,” or carries out an internal chain of thought, before responding. If Free users hit their usage cap, they’ll have access to GPT-5 mini.

    OpenAI’s Plus users have higher usage limits, and Pro users have unlimited access to GPT-5 as well as access to GPT-5 Pro. ChatGPT Edu and ChatGPT Enterprise users will get access to GPT-5 roughly a week from Thursday.

    “It’s hard to believe it’s only been two and a half years since @sama joined us in Redmond to show the world GPT-4 for the first time in Bing, and it’s incredible to see how far we’ve come since that moment,” Microsoft CEO Satya Nadella wrote in a Thursday X post, referring to OpenAI CEO Sam Altman’s appearance at Microsoft headquarters in Washington in February 2023.

    The new model is coming to Microsoft products Thursday, according to a company blog post. Microsoft 365 Copilot is getting GPT-5, as well as the Copilot for consumers and the Azure AI Foundry that developers can use to incorporate AI models into third-party applications.

    , a company that helps enterprises manage their computer files, has been testing GPT-5 across a wide variety of data sets in recent weeks.  

    Aaron Levie, the CEO of Box, said previous AI models have failed many of the company’s most advanced tests because they struggle to make sense of complex math or logic within long documents. But Levie said GPT-5 is a “complete breakthrough.” 

    “The model is able to retain way more of the information that it’s looking at, and then use a much higher level of reasoning and logic capabilities to be able to make decisions,” Levie told CNBC in an interview. 

    OpenAI is releasing three different versions of the model for developers through its application programming interface, or API. Those versions, gpt-5, gpt-5-mini and gpt-5-nano, are designed for different cost and latency needs. 

    Earlier this week, OpenAI released two open-weight language models for the first time since it rolled out GPT-2 in 2019. Those models were built to serve as lower-cost options that developers, researchers and companies can easily run and customize.

    But with GPT-5, OpenAI also has a broader consumer audience in mind. The company said interacting with the model feels natural and “more human.” 

    Altman said GPT-5 is like having a team of Ph.D.-level experts on hand at any time. 

    “People are limited by ideas, but not really the ability to execute, in many new ways,” he said. 

  • Figma’s IPO went well

    Figma’s IPO went well

    Figma celebrates its initial public offering at the New York Stock Exchange on July 31, 2025. © NYSE
    Stock Widget

    The IPO of collaborative design software company Figma FIGMA +250.00% ▲ set Wall Street abuzz after the company’s stock skyrocketed 250% on its debut, briefly valuing the firm at a staggering $60 billion. But while critics claim the underpricing left billions on the table, a deeper look reveals the offering was less a botched move than a strategic play in a flawed, but still functional, system.

    The central point of contention revolves around the $33 IPO price compared to the stock’s $115.50 opening price. On paper, that discrepancy meant over $3 billion in potential value lost for early investors — a gap that venture capitalist Bill Gurley and others argue is proof of malpractice or even a rigged system that favors elite institutional clients.

    However, this view may oversimplify what is a much more nuanced, strategic process.

    Among the biggest sellers in the IPO were top VC firms — Index Ventures, Greylock Partners, Kleiner Perkins, and Sequoia Capital — who sold a relatively small portion of their holdings (roughly 11 million shares combined). Even with the price surge, these firms are sitting on massive long-term gains, some reaching 27x to 1,900x their initial investments.

    They could’ve demanded a higher IPO price. That they didn’t suggests intentionality — perhaps prioritizing long-term brand visibility, talent recruitment, and future capital raises over a few billion more in immediate gains.

    One exception may be the Marin Community Foundation, which sold all its shares for $440 million. While it may feel some sting from the missed upside, a windfall of that size is still considerable.

    The massive stock surge wasn’t necessarily a failure — it may have been part of a deliberate strategy. A strong debut creates momentum, enhances public perception, and strengthens business development efforts. It can also be a catalyst for easier future share sales, particularly once lockup periods expire.

    In contrast, IPOs that underperform on their debut — like NIQ Global Intelligence and SailPoint — can make follow-on offerings or exits more challenging for existing investors. For VCs still holding over 200 million shares of Figma — now worth over $25 billion — the big-picture matters more than Day One.

    Limited Supply + High Demand = Scarcity Frenzy

    Figma only floated about 7% of its total share capital. That limited supply, mixed with intense demand from both institutional and retail investors, led to the inevitable spike in price. Reports suggest 40x oversubscription for shares — a telltale sign of market hype and anticipation.

    In such scenarios, investors tend to inflate orders massively just to secure a tiny allocation. The price jump becomes self-fulfilling as buyers chase the illusion of “free money.”

    Retail enthusiasm was a major driver behind Figma’s post-IPO momentum. But this behavior remains unpredictable and difficult for underwriters to factor into pricing models. Should bankers have set the IPO at 80x 2024 revenues, as implied by the closing price on day one? That’s debatable.

    There’s also a widespread myth that Wall Street banks favor hedge funds in IPO allocations. In Figma’s case, mutual funds and long-only investors likely received the lion’s share, aligning with company and VC preferences.

    This isn’t the first IPO to face public criticism, nor is it the first time alternative methods have been proposed:

    But none of these alternatives have replaced the traditional book-building process, largely because each comes with its own pitfalls. Dutch auctions often struggle with price discovery. Direct listings only work for well-known brands and can be volatile. SPACs, meanwhile, have earned a tarnished reputation amid poor post-merger performance.

    Chesterton’s Fence and the IPO Machine

    Critics often see the traditional IPO system as a relic sustained by a cartel of bankers. But like Chesterton’s Fence, the system endures for a reason: it balances complex interests — founders, VCs, long-term investors, and underwriters — in a high-stakes, high-pressure environment.

    Yes, the system has flaws. In the 1990s, banks were accused of allocating IPO shares to executives to curry future business — a practice that died out but could re-emerge without regulatory vigilance. Yet, no better replacement has proven itself at scale.

    Figma’s IPO might look scandalous at first glance. But on closer inspection, it reflects calculated trade-offs in a system that — while imperfect — remains resilient. The firm’s backers likely made their decisions with eyes wide open.

    As Winston Churchill once said of democracy:

    “It is the worst form of government — except for all the others that have been tried.”

    The IPO process, it seems, deserves the same faint praise.

    Figma’s debut mirrors the broader IPO market’s renewed energy in 2025, following a two-year lull. Investors are cautiously optimistic, though volatility remains a concern. Expect more tech unicorns to test the waters this year — and for the IPO debate to rage on.

  • Palantir’s Success in Washington and the Resulting 600% Surge in Its Stock Price

    Palantir’s Success in Washington and the Resulting 600% Surge in Its Stock Price

    Once dismissed as a niche Silicon Valley data-mining firm, Palantir Technologies PLTR +600.00% ▲ has undergone a dramatic metamorphosis, transforming into a central fixture in Washington’s national security and AI strategies. As its stock soared nearly 600% from early 2024 through mid‑2025, Palantir cemented its reputation as a co-equal to political insiders—and embraced the aggressive posture of the Trump era it now serves.

    Once dismissed as a niche Silicon Valley data-mining firm, Palantir Technologies has undergone a dramatic metamorphosis, transforming into a central fixture in Washington’s national security and AI strategies. As its stock soared nearly 600% from early 2024 through mid‑2025, Palantir cemented its reputation as a co-equal to political insiders—and embraced the aggressive posture of the Trump era it now serves.

    In early 2023, CEO Alex Karp stunned the company by announcing that Palantir was developing a next-generation Artificial Intelligence Platform (AIP)—even though no such project existed. As The Wall Street Journal recounts, Karp viewed the shift toward AI as inevitable and confidently placed Palantir at the center of it. His engineers then raced to build the product. What emerged became a centerpiece of national defense contracts and commercial integrations.

    In Q2 2025, AIP’s adoption helped Palantir smash through its first $1 billion quarterly revenue—a 33% rise in profits and skyrocketing U.S. commercial business by 93% year-over-year.

    Palantir’s proximity to power was turbocharged in President Trump’s second term, as the firm took over major federal contracts. It consolidated dozens of disparate deals into a $10 billion Department of Defense agreement, serviced by Palantir’s mission-grade Gotham and AIP platforms Axios reported.

    This alignment transformed Palantir from tech oddball to national strategic partner. Its new posture earned comparisons to Trump himself—tough, unfiltered, unapologetically patriotic.

    Palantir’s share price multiplied more than six-fold since early 2024, drawing enormous investor attention. Analyst Stephen Guilfoyle of WallStreetPit flagged the firm’s explosive growth: over 52% U.S. business growth in Q4, a 36% revenue increase, $1.25 billion in adjusted free cash flow, and profitability—even boasting 7 cents adjusted EPS. He raised his price target to a lofty $153/share, reflecting continued bullish sentiment.

    The stock’s rise has outpaced major indices. In early 2025, Palantir was among the top performers in the S&P 500 and Nasdaq‑100, ending over $400 billion in market cap—surpassing giants like Salesforce and Adobe.

    With the stock surging, CEO Karp executed an aggressive share selloff: 38 million shares worth roughly $1.88 billion in 2024 alone, much of it near the presidential election. He’s signaled plans to sell nearly 10 million more in 2025, indicating a continued cash-out strategy leveraging Palantir’s rally.

    Despite such windfalls, critics highlight Palantir’s outsized valuation—trading at more than 200x future earnings and 80x projected revenue, per FT’s John Foley. While revenue is strong, skeptics warn the stock behaves like a meme—powered more by hype than fundamentals.

    Palantir’s success rests on an ideological playbook: blend AI prowess with government proximity. The company has built a “revolving door” of personnel exchanges between Washington and its executive ranks—including figures drawn from the Pentagon, CIA, DHS, and even the UK’s NHS. That insider network helped lock in contracts exceeding $1.3 billion with U.S. defense agencies and expanded lobbying to $5.8 million in 2024.

    The firm’s approach is flexible: smartly toe political lines, anticipate shifts in power, and monetize defense policymaking. Palantir’s global positioning reflects that model—growing its Washington footprint even as its commercial footprint expands.

    The company’s victories aren’t immune to challenges. In February 2025, Palantir shares plunged nearly 20% after news broke that the Pentagon might cut defense spending by 8% annually for five years, threatening Palantir’s pipeline.

    Moreover, critics raise alarms about ethics and bias—its close ties to ICE and surveillance applications invite scrutiny over privacy, fairness, and oversight.

    Still, Palantir’s AI platform is winning new contracts beyond defense—it now serves clients like the FAA, CDC, IRS, and even corporate giants, and stands as a singular example of AI-centric growth in a sluggish tech sector.

    Palantir’s journey from controversial data firm to the poster child of AI‑powered government contracting has redefined what it means to succeed in tech—the old Silicon Valley playbook of consumer apps and venture capital liquidity has been traded for political entanglement and defense scoring.

    Its 600% stock run was fueled not just by AI hype, but by a deliberate embrace of political alignment and contract design. The question now is whether that trajectory can last—once the federal tide turns, or budgets tighten, Palantir’s value may be tested.

  • Microsoft has eliminated dozens of positions in Washington

    Microsoft has eliminated dozens of positions in Washington

    Stock Widget

    Microsoft MSFT -0.75% ▼ is laying off 40 Washington-based employees, as the company continues to trim its workforce amid record spending on artificial intelligence.

    Monday’s layoffs, disclosed in a state filing, are separate from previous announcements of global job cuts. The company announced in May that it was letting go of more than 6,000 workers and made another announcement in July for an additional 9,000 employees.

    Microsoft said Monday’s cuts throughout the company were very small.

    In Washington, Microsoft has cut 3,160 jobs so far this year, including Monday’s layoffs.

    Organizational and workforce changes are a necessary and regular part of managing our business,” a Microsoft spokesperson said in an emailed statement. “We will continue to prioritize and invest in strategic growth areas for our future and in support of our customers and partners.”

    The company is continuing a run of one of the largest layoffs in its history while reporting record quarterly revenues and profits. Last week, Microsoft’s fiscal year earnings stunned Wall Street, especially for its cloud and AI business.

    Microsoft reported last week that it invested $88 billion over the past year to build out its AI infrastructure and plans to spend another $30 billion by the end of September.

    Microsoft CEO Satya Nadella addressed this “incongruence” in a memo to employees last month.

    “This is the enigma of success in an industry that has no franchise value,” he said. “Progress isn’t linear. It’s dynamic, sometimes dissonant, and always demanding.

    Despite the waves of layoffs, Microsoft’s head count is relatively unchanged, Nadella said, as the company prioritizes hiring in other parts of its business. Microsoft Microsoft reported that it had 228,000 employees at the end of June. the same number that it reported last year.