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At Davos, Trump Calls for Greenland Negotiations, but Dials Back Use of Force

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President Donald Trump’s renewed push to acquire Greenland has opened a fresh fault line between Washington and its European allies, exposing strains within NATO and reviving long-standing questions about sovereignty, security, and the use of economic leverage in alliance politics.

While Trump has now ruled out military force, a move that has eased immediate fears of escalation, his remarks underline how far the proposal has already unsettled Europe.

Speaking at the World Economic Forum in Davos, Trump called for “immediate negotiations” with Denmark to discuss the acquisition of Greenland, an autonomous territory within the Kingdom of Denmark. In the same breath, he sought to tamp down alarm by explicitly rejecting the use of military power to pursue the territory.

“I don’t want to use force. I won’t use force,” Trump said, responding to growing concern in Europe that the United States might escalate the dispute beyond diplomacy.

That assurance marked a noticeable shift in tone after days of mounting tension. European officials had reacted sharply to Trump’s earlier rhetoric, particularly his repeated insistence that Greenland is indispensable to U.S. national security and his suggestion that Denmark and NATO are incapable of defending it. Those remarks, coupled with threats of new tariffs against several NATO countries, had raised fears that Washington was prepared to coerce allies over an issue touching directly on territorial integrity.

Markets reflected that anxiety. Stocks fell earlier in the week as investors digested the prospect of a widening transatlantic dispute, only to rebound after Trump ruled out military action. The market response highlighted how seriously the episode is being taken, not just as political theatre but as a potential source of real geopolitical and economic disruption.

Despite the softer language on force, Trump did little to reassure European capitals that the pressure itself had eased. He maintained that Greenland is a strategic necessity for the United States, pointing to the Arctic’s growing importance as melting ice opens new shipping routes and sharpens competition among major powers.

The island’s location gives it strategic value for missile defense, space surveillance, and Arctic operations, areas where the U.S. already maintains a presence through Pituffik Space Base.

Trump framed the issue in stark terms, arguing that only the United States has the capacity to secure Greenland against emerging threats.

“No nation or group of nations is in any position to be able to secure Greenland other than the United States,” he said, a statement that implicitly questioned NATO’s collective defense commitments and struck a nerve among European allies who see Arctic security as a shared responsibility.

The proposal goes beyond defense policy into the core issue of sovereignty for Denmark. Greenland has its own government and a long-running debate over independence, making the idea of a transfer of ownership politically radioactive. Danish officials have repeatedly said the island is not for sale, a position that reflects both constitutional realities and public opinion at home and in Greenland itself.

The broader European reaction has been shaped by concern over precedent. While Trump’s rejection of military force removed the most extreme scenario from the table, his continued use of economic pressure has left allies uneasy. By warning that countries that refuse the proposal will face consequences, Trump reinforced a transactional approach that contrasts sharply with Europe’s emphasis on consensus and rules-based diplomacy.

“So they have a choice,” Trump said in Davos. “You can say yes, and we will be very appreciative. Or you can say no, and we will remember.”

That framing has fed the perception in Europe that the Greenland push is less about partnership than leverage. Several European officials privately describe the move as a stress test for NATO unity, particularly at a time when the alliance is already grappling with the war in Ukraine, defense spending debates, and questions about long-term U.S. commitment.

Historically, U.S. interest in Greenland is not new. Washington explored purchasing the territory after World War II and has maintained a strategic footprint there for decades. What is different now is the public, high-level push for acquisition and the willingness to link it to trade measures and alliance obligations. This has turned what might have remained a quiet strategic discussion into a public diplomatic dispute.

Trump’s decision to rule out military force appears to reflect the resistance he has encountered from Europe. The backlash from allies, combined with market volatility, has shown the costs of allowing the issue to escalate unchecked. By dialing back the most confrontational aspect of his earlier posture, Trump has sought to regain some control over the narrative without abandoning the core objective.

Still, the episode has already left its mark. It has strained trust between Washington and European capitals, raised doubts about how far the United States is willing to go in pursuing strategic assets, and underscored the fragility of alliance politics in an era of renewed great-power competition.

Denmark has given no indication it is willing to entertain the idea, and Greenland’s own leaders are likely to resist any discussion that sidelines their authority. So, it is not clear if Trump is making headway with his pressure. What is clear is that Trump has once again pushed an unconventional idea into the center of global diplomacy, forcing allies to respond.

Amazon Launches Health AI, Bringing AI Deeper Into Healthcare With One Medical Assistant

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SEATTLE, WA - JUNE 16: A visitor checks in at the Amazon corporate headquarters on June 16, 2017 in Seattle, Washington. Amazon announced that it will buy Whole Foods Market, Inc. for over $13 billion. (Photo by David Ryder/Getty Images)

Amazon has rolled out an artificial intelligence-powered healthcare assistant for members of its primary care chain, One Medical, marking its most concrete step yet in embedding generative AI directly into patient care workflows and intensifying competition with OpenAI, Anthropic, and other tech firms eyeing the lucrative health sector.

The new tool, called Health AI, is now available to One Medical members through the company’s app. It relies on large language models hosted on Amazon’s Bedrock platform to answer health-related questions and offer personalized guidance informed by a member’s medical records, lab results, and current prescriptions. Beyond information, the assistant can help manage medications and schedule appointments with a user’s One Medical provider.

The launch builds on Amazon’s $3.9 billion acquisition of One Medical in 2023, a deal that signaled the company’s ambition to move beyond logistics and cloud computing into frontline healthcare delivery. One Medical operates a network of physical clinics alongside telehealth services, with membership fees ranging from $99 to $199 annually.

Amazon is careful to draw boundaries around the new feature. The company says Health AI is not designed to diagnose conditions or recommend treatments, and it should not replace consultations with medical professionals. Instead, Amazon says the assistant is “programmed with clinical protocols” that flag symptoms or situations requiring escalation to a provider or an in-person visit, an acknowledgement of the regulatory and ethical sensitivities surrounding AI in medicine.

The company began piloting Health AI with a limited group of One Medical members last spring, gradually expanding access ahead of Wednesday’s broader rollout. That testing period reflects a cautious approach in a sector where trust, accuracy, and patient safety are paramount, and where missteps can carry legal and reputational consequences.

Amazon’s move comes amid a rapid acceleration of AI deployments across healthcare. Earlier this month, OpenAI introduced ChatGPT Health, allowing users to upload medical records and receive tailored health insights within its chatbot. Anthropic followed closely with Claude for Healthcare, positioning its system as a tool for clinicians and healthcare organizations. The convergence highlights how generative AI providers are racing to secure early footholds in a market defined by high spending, complex data, and long-term customer relationships.

Amazon is pitching its offering as more tightly integrated and practical than rivals. Unlike standalone chatbots, Health AI does not require users to upload documents or link external apps. Because it is embedded within One Medical’s system, the assistant can access existing records and act directly, whether by coordinating care or booking appointments.

Neil Lindsay, senior vice president of Amazon Health Services, framed the distinction in stark terms.

“Other AI health chatbots provide general health information,” he said in a statement. “One Medical’s Health AI assistant knows your health story, takes action on your behalf, and keeps your trusted providers in the lead. It’s the difference between getting answers and getting care.”

That positioning underscores Amazon’s broader strategy. Rather than offering AI as a standalone product, the company is weaving it into an end-to-end healthcare experience that combines physical clinics, telehealth, cloud infrastructure, and now generative AI. The approach mirrors Amazon’s playbook in other industries, where it leverages scale and integration to lower friction and keep users within its ecosystem.

The commercial stakes are significant as healthcare remains one of the largest and most complex sectors of the U.S. economy, accounting for trillions of dollars in annual spending. For Amazon, AI-enabled care tools could help improve patient engagement, reduce operational costs, and justify premium membership fees, while also driving usage of its Bedrock AI services behind the scenes.

At the same time, the rollout raises familiar questions about data privacy, transparency, and accountability. Health AI’s reliance on sensitive medical information places it under intense scrutiny from regulators and consumer advocates, particularly as policymakers continue to debate how generative AI should be governed in high-risk domains.

For now, Amazon appears intent on moving deliberately, emphasizing guardrails and provider oversight. Whether that balance will satisfy patients and regulators, while still delivering the efficiency gains Amazon is known for, will likely determine how far Health AI can reshape primary care.

What is clear is that the contest to define AI’s role in healthcare is shifting from experimentation to execution. With Health AI, Amazon is no longer just watching from the sidelines. It is placing a direct bet that generative AI, tightly coupled with real-world care delivery, can become a core pillar of modern medicine — and a meaningful growth engine for the company itself.

JPMorgan CEO Warns Trump’s Credit Card Rate Cap Could Trigger a Broad Credit Shock Across the U.S. Economy

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JP Morgan Chase puts contents through its CEO account, it goes viral. But the same content via JPMC account, no one cares (WSJ)

JPMorgan Chase CEO Jamie Dimon has escalated warnings over President Donald Trump’s proposal to impose a one-year cap of 10% on credit card interest rates, arguing that the policy could destabilize consumer credit markets and send shockwaves through the wider U.S. economy, far beyond the banking sector.

Speaking at the World Economic Forum in Davos, Dimon described the proposal as “an economic disaster,” stressing that the fallout would be felt most acutely by households, small businesses, and local governments rather than by large financial institutions. JPMorgan, he said, would survive such a move, but only by sharply shrinking its credit card operations.

“In the worst case, you would have to have a drastic reduction of the credit card business,” Dimon said, adding that the bank’s ability to absorb the shock should not be mistaken for evidence that the policy is viable.

At the core of Dimon’s argument is the structure of the U.S. credit card market. Credit cards are unsecured loans, priced according to risk. Interest rates are higher because lenders must account for defaults, fraud, operational costs, and capital requirements. A hard cap of 10%, Dimon warned, would make it uneconomic to lend to large segments of the population, particularly borrowers with lower credit scores.

He estimated that as many as 80% of Americans could lose access to credit cards if such a cap were enforced. While that figure is not independently verified, it reflects a widely held concern among banks that price controls would force them to ration credit rather than extend cheaper credit more broadly.

Dimon’s critique extended beyond banking balance sheets to the mechanics of the consumer economy. Credit cards play a central role in smoothing household cash flow, supporting discretionary spending, and enabling short-term borrowing for emergencies.

If access were abruptly curtailed, he argued, the effects would ripple outward.

“The people crying most won’t be the credit card companies,” Dimon said.

Instead, he pointed to restaurants, retailers, travel companies, and service providers that depend on consumer spending. He also warned of downstream consequences for municipalities, noting that households under financial strain could miss utility payments and other basic obligations.

“People will miss their water payments,” he said.

To illustrate his point, Dimon jokingly suggested that lawmakers test the proposal by forcing banks in Vermont and Massachusetts to comply and then observe the outcome, a remark that drew laughter but underscored his belief that the impact would be immediate and visible.

The comments build on earlier warnings from JPMorgan’s leadership. During the bank’s fourth-quarter earnings call last week, its chief financial officer said price controls on card interest rates could make the business “no longer a good business,” reinforcing the view that lenders would respond by pulling back credit rather than absorbing losses.

More broadly, the debate highlights a recurring tension in U.S. financial policy: the trade-off between affordability and access. Supporters of the rate cap argue that credit card interest rates, which often exceed 20%, are punitive and contribute to household financial stress, especially for lower-income borrowers. Critics counter that caps ignore risk differentiation and could exclude precisely those consumers the policy is meant to help.

Historical precedents lend weight to that concern. Past experiments with interest rate ceilings, both in the U.S. and abroad, have often resulted in credit contraction, growth in informal lending, or tighter eligibility standards. Banks typically respond by reducing limits, raising fees elsewhere, or exiting higher-risk segments altogether.

Dimon was careful to strike a conciliatory tone toward the administration more broadly. Asked about Trump’s geopolitical moves, including on immigration and NATO, he described them as more qualitative issues whose outcomes would depend on implementation and intent. On credit cards, however, he said he felt compelled to speak out because of his deep familiarity with the issue and its real-world consequences.

“Whatever the president and Congress decide, we’ll deal with it,” Dimon said, adding that JPMorgan plans to release more detailed analysis on the likely economic effects of a rate cap.

He also emphasized that he shares the goal of improving affordability for consumers, but views blunt price controls as the wrong instrument.

Dimon’s intervention signals that the fight over credit card rates is shaping up to be a defining test of how far Washington is willing to intervene directly in consumer finance. From the banking industry’s perspective, the risk is not reduced profitability, but a sudden tightening of credit that could reverberate through everyday economic life across the United States.

YouTube Targets ‘AI Slop’ and Deepfakes as Platform Braces for a Defining Test in the Age of Synthetic Media

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YouTube CEO Neal Mohan has signaled that 2026 will be a pivotal year for the world’s largest video platform, as it confronts the growing flood of low-quality AI-generated content and the more dangerous rise of deepfakes that blur the line between reality and fabrication.

In his annual letter published Wednesday, Mohan said the platform is prioritizing efforts to reduce what has come to be known as “AI slop” while strengthening systems to detect and remove deepfakes, describing the challenge as increasingly urgent as artificial intelligence becomes embedded across the internet.

“It’s becoming harder to detect what’s real and what’s AI-generated,” Mohan wrote. “This is particularly critical when it comes to deepfakes.”

The comments underline a broader tension facing YouTube and other major social media platforms: AI is simultaneously supercharging creativity and scale, while threatening trust, quality, and authenticity at an unprecedented level. As a Google-owned company that sits at the center of user-generated content, YouTube is now one of the primary battlegrounds for how the internet manages that trade-off.

Google has poured billions of dollars into AI infrastructure, expanding data centers, developing its Gemini models, and weaving AI tools into consumer and enterprise products. On YouTube, those investments are already reshaping how videos are created, edited, and distributed. More than 1 million channels used YouTube’s AI creation tools daily on average in December, Mohan said, a figure that illustrates just how rapidly synthetic content has entered the mainstream.

That surge has come with consequences. AI slop, a term used to describe large volumes of low-effort, repetitive, or low-quality AI-generated videos, has become a growing problem across platforms that rely on algorithmic recommendations. YouTube, Meta, and TikTok all use AI-driven systems designed to maximize engagement, which can unintentionally amplify such content if it proves clickable, even when it adds little value for viewers.

Mohan said YouTube is treating this as an inflection point, one where “the lines between creativity and technology are blurring.” The company plans to build on systems it has long used to fight spam, clickbait, and repetitive content, adapting them to the new reality of AI-generated media.

Rather than banning AI-generated videos outright, YouTube’s strategy is focused on transparency and enforcement. Mohan said the platform clearly labels videos created using AI tools and requires creators to disclose when content has been altered or synthetically generated. Videos deemed to be “harmful synthetic media” are removed when they violate YouTube’s guidelines, particularly in cases involving deception, impersonation, or abuse.

Deepfakes present a sharper reputational and legal risk. Unlike low-quality AI content, deepfakes can undermine trust, spread misinformation, and exploit individuals by using their likeness without consent. In December, YouTube announced it would expand its likeness detection technology, which flags videos where a creator’s face has been used without permission. That feature is now being rolled out to millions of creators in the YouTube Partner Program.

The emphasis on deepfake detection reflects pressure not just from users, but from advertisers, regulators, and public figures who are increasingly wary of their images being misused. Keeping the platform attractive to all three groups, users, creators, and advertisers, remains central to YouTube’s business model, particularly as scrutiny of online harms intensifies globally.

At the same time, Mohan was careful to position AI as an enabler rather than a replacement for human creativity.

“We’ll use AI as a tool, not a replacement,” he wrote, a framing that mirrors Google’s broader messaging as it seeks to reassure creators that automation will not hollow out their livelihoods.

YouTube is, in fact, expanding the ways creators can use AI, especially on Shorts, its short-form video product that competes directly with TikTok and Instagram Reels. Mohan said creators will soon be able to generate Shorts using their own likeness, produce games from simple text prompts, and experiment with music creation, tools that lower the barrier to entry while potentially accelerating content production.

This dual approach, cracking down on abuse while widening access to AI tools, highlights the tightrope YouTube is walking. Too heavy a hand risks alienating creators who are driving growth. Too light a touch risks flooding the platform with content that erodes user trust and advertiser confidence.

Mohan framed creators as central to YouTube’s future, calling them “the new stars and studios.” He pointed to creators buying studio-sized lots in Hollywood and elsewhere, producing high-budget content that increasingly resembles traditional television. To support that evolution, YouTube is pushing new monetization options, from shopping integrations and brand partnerships to fan-funding features such as Jewels and gifts.

Another area of focus is younger audiences. Mohan said making YouTube “the best place for kids and teens” is a priority, with new tools planned to simplify the creation and management of children’s accounts and allow parents to switch between profiles more easily. That push comes as regulators and parents alike demand stronger safeguards for minors online, particularly as AI-generated content becomes more pervasive.

Financially, YouTube’s scale gives it both leverage and exposure. The company said in September that it has paid out more than $100 billion to creators, artists, and media companies since 2021, underscoring its role as one of the largest engines of the creator economy. Analysts at MoffettNathanson estimated earlier this year that if YouTube were a standalone business, it would be worth between $475 billion and $550 billion.

Those numbers help explain why the fight against AI slop and deepfakes matters so much. YouTube’s valuation, influence, and long-term growth all depend on whether it can maintain trust while embracing the next wave of AI-driven creativity. Mohan’s letter makes clear that 2026 will be less about whether AI belongs on YouTube and more about whether the platform can impose enough order on synthetic media to keep its ecosystem credible, competitive, and commercially viable.

Bitcoin Slides For Seventh Straight Session as Trade Tensions Rattle Crypto Markets

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Bitcoin has extended its decline for a seventh consecutive session, falling as low as $88,861 on Wednesday, its longest losing streak since November 2024, amid rising U.S.-EU trade tensions that have unsettled global risk markets.

The world’s largest cryptocurrency dropped more than 2% intraday, briefly touching $87,794 before staging a modest rebound. At the time of writing, BTC was trading around $88,764, nearly 9.6% below its $98,000 peak earlier this year.

The sell-off followed comments from U.S. President Donald Trump, who said the United States would introduce tariffs on eight European countries, including France, Germany, and the U.K., as part of his controversial bid to acquire Greenland. The announcement sparked a broad risk-off move, wiping nearly $150 billion off the global cryptocurrency market within 24 hours.

Major altcoins were also not spared. Ethereum slipped below the $3,000 mark after falling about 6%, while XRP, Solana, TRON, and Monero posted losses ranging from 4% to as much as 18%. The sharp price decline also triggered widespread liquidations. According to CoinGlass, 183,050 traders were liquidated in the past 24 hours, with total liquidations reaching $1.02 billion. About 90% of these were long positions, amounting to roughly $928.45 million, as bullish bets on a rebound failed to materialize.

Over the past three days, Bitcoin has dropped significantly below $88,000 after it started the new year on a bullish momentum, reaching as high as $97,888. Amidst BTC price rally, sentiment showed signs of improvement, with the Crypto Fear & Greed Index moving into the neutral-to-greed zone for the first time in months.

The index, which tracks overall investor sentiment, reportedly registered a “greed” score following weeks of fear and extreme fear. It reached a reading of 61, reflecting a notable shift in mood after prolonged caution. Meanwhile, the Crypto Fear and Greed Index has currently slid to 32, firmly in the “fear” zone, signaling growing caution among investors.

Adding to the bearish outlook, veteran trader Peter Brandt recently warned that Bitcoin could fall to the $58,000–$62,000 range within the next two weeks. Paul Howard, Director at Wincent, noted that the renewed tariff rhetoric has pressured all risk assets.

“We have seen cryptocurrencies largely follow this trend and can expect that to continue, with European equities trading almost 2% down,” Howard said. “Volatility is back.”

Jeff Mei, COO at BTSE, added that Trump’s tariff threats over Greenland were poorly received by markets. However, he pointed out that many traders still believe the U.S president could soften his stance, as he has done in the past, to avoid severe global market disruptions. Mei further noted that investors are closely watching Europe’s response and whether tensions will escalate, adding that the chances of Europe conceding to Trump’s demands appear slim.

Institutional selling has further weighed on Bitcoin. Spot Bitcoin ETFs recorded nearly $874.4 million in outflows over the past two days, led by Fidelity with $357.3 million, followed by Grayscale, Bitwise, and ARK Invest. These withdrawals reflect rising institutional caution amid geopolitical uncertainty. As a result, capital has been rotating into traditional safe-haven assets such as gold and silver, both of which recently hit all-time highs.

CryptoQuant contributor Darkfost observed a clear decline in whale transactions, particularly BTC inflows to exchanges. This suggests that large holders are sending significantly less Bitcoin to trading platforms, indicating reduced selling pressure from whales. Despite the ongoing downturn, analysts note that similar pullbacks have occurred in the past, often followed by strong rebounds once key technical conditions aligned.

Outlook

If Bitcoin stabilizes above $88,000, analysts see a potential recovery toward immediate resistance at $89,600, followed by a stronger barrier near $90,000. One bullish scenario suggests that Bitcoin could reclaim the $94,000 zone, break through it with strong momentum, and resume its uptrend toward the $100,000 region. In this case, the recent decline would be viewed as a shakeout rather than a full trend reversal.

However, a more cautious scenario points to a potential fake out near $94,000, followed by another rejection and a breakdown below $90,000. This could lead to a liquidity sweep toward the $88,000 area before the market finds a more sustainable direction. For now, Bitcoin remains under pressure, with traders balancing growing macro risks against signs of technical stabilization.