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Germany Balks at Palantir as Data Sovereignty Concerns Override AI Push

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Germany’s military is stepping back, at least for now, from adopting software by Palantir, in a decision that underlines how national security concerns are colliding with the rapid advance of artificial intelligence in defense.

The decision is also seen as an early signal of how the politics of artificial intelligence, particularly its use in warfare, are beginning to shape the global market for defense technology.

“I don’t see that happening at all at the moment,” Thomas Daum, head of cyber defense at the Bundeswehr, told Handelsblatt.

His reasoning was direct. “As much as we are interested in the functionality for our own database, it is simply inconceivable at the moment to grant industry staff access to the national database.”

That hesitation reflects long-standing European sensitivities around data sovereignty, but it also intersects with a deeper divide over how far artificial intelligence should be embedded in military operations.

In Washington, the trajectory has been markedly different. Palantir’s systems, designed to fuse battlefield data, identify targets, and support operational decisions, have moved from experimental tools to institutional infrastructure. Reuters reported that its AI platform has now been designated a programme of record by the Pentagon, effectively locking in long-term deployment across the U.S. military.

Palantir has not just benefited from that shift; it has actively endorsed it. The company has been among the most vocal proponents of integrating AI into defense, arguing that democratic nations must adopt advanced technologies at scale to maintain strategic advantage. Its executives have repeatedly framed AI-enabled warfare as a necessity rather than a choice, warning that hesitation could cede ground to geopolitical rivals.

That position sets it apart from parts of the AI industry. Firms such as Anthropic have taken a more cautious line, emphasizing the risks of deploying highly capable models in military contexts, particularly where autonomous decision-making or vulnerability exploitation is involved. Anthropic’s decision to restrict access to some of its most powerful systems, citing cybersecurity concerns, resulted in a faceoff with the Pentagon, highlighting a broader reluctance within segments of the industry to fully embrace defense applications.

It is believed that this divergence is beginning to influence how governments evaluate suppliers – and Germany’s decision may have been influenced by that.

Germany’s stance suggests that Palantir’s close alignment with U.S. military priorities, once a competitive advantage, is becoming a complicating factor in certain markets. European governments, already wary of dependence on foreign technology providers, may be less inclined to adopt platforms that are deeply embedded in another country’s defense ecosystem, especially when those platforms are explicitly designed for combat applications.

The issue is not capability. Palantir’s software is widely regarded as among the most advanced for integrating and analyzing complex datasets in real time. The Bundeswehr itself has acknowledged interest in such functionality as it seeks to process battlefield information faster than human analysts can manage.

The friction lies in control and perception because granting a company with strong ties to U.S. defense access to national military databases raises legal, operational, and political questions. It also feeds into a broader European push for “digital sovereignty,” where governments aim to retain tighter control over critical infrastructure, particularly in sensitive sectors like defense.

There is also a reputational dimension. As debates intensify over the ethics of AI in warfare, companies that openly champion its military use may find themselves facing greater scrutiny abroad, even as they gain traction at home.

Thus, Palantir’s willingness to align closely with the Pentagon has secured deep integration in the world’s largest defense market, providing stable revenue and long-term contracts. But that same alignment may narrow its appeal in regions where policymakers are more cautious about outsourcing military intelligence capabilities or about the broader implications of AI-driven warfare.

Germany’s position does not necessarily close the door. As security pressures mount and European militaries accelerate digital transformation, the demand for advanced analytics will only grow. The question is whether Palantir can adapt its model, through localization, stricter data governance guarantees, or partnerships with European firms, without diluting the very approach that has driven its success in the United States.

“Bitcoin is Money”: Jack Dorsey Endorses Block’s Latest Push to Make BTC Everyday Spendable Cash

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Jack Dorsey, the founder and CEO of Block Inc., is once again doubling down on his long-standing belief that Bitcoin is more than just a speculative asset, noting that the crypto asset is money meant to be used in everyday life. 

In a post on X, he wrote “Bitcoin is Money”, in response to Block’s ongoing efforts to transform Bitcoin from a digital store of value into practical, everyday money.

On April 27, 2026, Block, the company behind Cash App, Square, and Bitkey announced a series of significant updates designed to improve earning, spending, and self-custody of Bitcoin.

The company is making it easier for users to accumulate Bitcoin through everyday activities which include:

  • 5% Bitcoin Back Rewards: Cash App users can now earn 5% bitcoin cashback on purchases at participating Square merchants. This “Bitcoin Back” program turns everyday spending into an opportunity to stack more sats (the smallest unit of Bitcoin).
  • Automatic P2P Conversion: Users can set Cash App to automatically convert peer-to-peer (P2P) payments they receive into Bitcoin.
  • P2P Payments to Bitcoin on Cash App: Incoming peer-to-peer payments can now be automatically converted into Bitcoin, making it seamless to turn fiat transfers into BTC holdings.
  • Upcoming NFC Tap-to-Pay and Bitcoin Toggle on Square: Block plans to demonstrate NFC tap-to-pay for Bitcoin at Bitcoin Las Vegas 2026. Merchants will soon accept Bitcoin as easily as any contactless card payment, likely settling via the Lightning Network for near-instant, low-cost transactions.
  • Verifiable Proof of Reserves: Block is introducing transparent, user-verifiable Proof of Reserves for its corporate Bitcoin treasury as well as customer holdings on Cash App and Square.

These features aim to turn routine transactions into opportunities to grow Bitcoin holdings without extra effort.

Jack Dorsey’s Long-Standing Vision

Dorsey has consistently championed Bitcoin as peer-to-peer electronic cash, the original vision outlined in Satoshi Nakamoto’s 2008 whitepaper.

He has repeatedly drawn a sharp distinction between Bitcoin (“money”) and the broader “crypto” industry of speculative tokens and experiments.

His statement “bitcoin is money”, serves as both endorsement and rallying cry. Through Block, Dorsey is actively building the infrastructure (wallets, payments, merchant tools, and transparency mechanisms) needed to make Bitcoin function as a medium of exchange, not just a “digital gold” held for appreciation.

Why This Matters for Bitcoin’s Future

For Bitcoin to reach its full potential as “money,” it needs velocity actual circulation in the real economy alongside its proven role as a scarce, decentralized store of value.

Block’s initiatives address key friction points such as secure self-custody (Bitkey), incentives to spend and earn (cashback and auto-conversion), merchant acceptance (Square NFC), and trust (Proof of Reserves).

Jack Dorsey’s simple declaration cuts through the noise that Bitcoin isn’t just an investment asset or a speculative token. It is money and companies like Block are working to make that statement a daily reality for more people.

Outlook

The direction outlined by Jack Dorsey and Block Inc. signals a broader shift in how Bitcoin could evolve over the next few years. If these integrations gain traction, Bitcoin may gradually transition from a primarily held asset into a functional payment layer embedded in daily commerce.

A key factor will be user behavior. While tools like Cash App, Square, and Bitkey reduce friction, widespread adoption depends on whether users are willing to spend Bitcoin rather than hold it. Historically, many users have treated BTC as “digital gold,” limiting its circulation.

Race for ‘Perps’ Comes to the U.S., as Prediction Markets Eye Crypto’s Most Lucrative — and Volatile — Frontier

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A quiet but consequential shift is underway in U.S. financial markets. Perpetual futures, long a staple of offshore crypto exchanges, are edging toward mainstream adoption domestically, drawing interest from prediction market platforms and raising fresh questions about risk, regulation, and market structure.

Known as “perps,” these derivatives have no expiration date and allow traders to take highly leveraged positions, sometimes up to 100 times their capital. Their appeal is continuous exposure to price movements without the need to roll contracts. Their risks are less benign. Liquidation cascades, extreme volatility, and opaque pricing mechanisms have defined their growth outside the United States.

Now, that model is inching closer to U.S. shores.

The scale of the opportunity explains the urgency. Perpetual futures accounted for more than 70% of trading volume on centralized crypto exchanges last year, according to CoinGecko. Data from CryptoQuant shows volumes reached a nominal $61.7 trillion in 2025, dwarfing the $18.6 trillion recorded in spot markets. That imbalance underscores how speculative leverage, rather than outright ownership, has become the dominant driver of activity in digital assets.

For platforms like Kalshi and Polymarket, the attraction is clear. Both firms sit at the intersection of finance and real-world event speculation. Adding leveraged derivatives would deepen engagement among existing users while opening a path to compete more directly with established crypto exchanges and retail brokerages.

Still, analysts caution against overstating the immediate threat to incumbents such as Coinbase and Robinhood. Owen Lau of Clear Street described the move as incremental rather than disruptive.

“This is a natural product extension,” he said, noting that shifting entrenched users away from established platforms remains difficult.

Others see defensive logic at play. Mizuho analyst Dan Dolev argued that prediction markets are moving preemptively to avoid being sidelined. As traditional platforms expand their own derivatives and event-based offerings, the boundaries between trading, betting, and forecasting are dissolving. Robinhood’s own push into prediction markets, which quickly became one of its fastest-growing revenue segments, illustrates how quickly user demand can pivot when new instruments gain traction.

At the center of this shift is regulation. Historically, U.S. authorities have kept perpetual futures at arm’s length, largely due to their embedded leverage and the systemic risks tied to auto-deleveraging mechanisms used offshore. These systems can force mass liquidations during market stress, amplifying price swings and triggering abrupt losses.

That stance may be softening as the Commodity Futures Trading Commission has signaled a willingness to develop a framework for what it calls “true perpetual derivatives.” Chairman Michael Selig said earlier this year that regulators intend to bring such products onshore “subject to appropriate safeguards,” marking a shift from prohibition to controlled adoption.

The implications extend beyond crypto. Some analysts believe that if structured carefully, perpetual contracts could migrate into traditional asset classes, from equities to commodities. That prospect introduces both opportunity and unease. Extending high-leverage instruments to markets like the S&P 500 or energy futures could deepen liquidity, but it could also import the instability seen in crypto trading.

There is also the question of market integrity. Prediction markets, already under scrutiny for alleged misuse of insider information and manipulation of underlying data, could face intensified oversight if paired with leveraged derivatives. The combination raises the stakes. A trader with both informational advantage and leverage can exert outsized influence, potentially distorting not just prices but perceptions of real-world probabilities.

Even so, the commercial incentives remain powerful. The overlap between crypto traders and prediction market users is substantial, creating a ready-made customer base for hybrid products.

What remains uncertain is whether the infrastructure and safeguards can keep pace. Pricing models, margin requirements, and settlement mechanisms are expected to determine whether these products stabilize or destabilize markets. This is because, without careful calibration, the same features that make perps attractive could magnify systemic risk.

Google Signs Major Deal with Pentagon to Supply AI Models for U.S. Military Classified Operations

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Google has quietly reached an agreement with the Pentagon to make its artificial intelligence models available for classified government work, the latest sign of how deeply Silicon Valley is becoming intertwined with U.S. national security.

According to The Information, the deal allows the Defense Department, recently renamed the Department of War by President Donald Trump, to use Google’s AI systems for “any lawful government purpose.” This puts Google alongside OpenAI and Elon Musk’s xAI, both of which have already secured similar arrangements.

The contracts, part of a broader 2025 push, are reportedly worth up to $200 million apiece with leading AI labs including Anthropic, OpenAI, and now Google.

The Pentagon has been actively pressing top AI companies to provide their most advanced models on classified networks with fewer restrictions than they typically impose on commercial customers. These systems are used for highly sensitive tasks, ranging from mission planning to weapons targeting.

Under the agreement, Google will be required to assist the government in adjusting the company’s AI safety settings and content filters when requested. The contract includes explicit language stating that the AI “is not intended for, and should not be used for, domestic mass surveillance or autonomous weapons (including target selection) without appropriate human oversight and control.”

However, the deal also makes clear that Google has no right to control or veto lawful operational decisions once the technology is in the Pentagon’s hands. That carve-out exposes the limits of private-sector influence when working with the military, which has fueled concern over growing deals between the Pentagon and AI companies for the use of advanced models.

Google defended the partnership in carefully worded terms. A company spokesperson told Reuters that Google supports government agencies on both classified and unclassified projects and remains committed to the industry consensus that AI should not be used for domestic mass surveillance or autonomous weaponry without meaningful human oversight.

“We believe that providing API access to our commercial models, including on Google infrastructure, with industry-standard practices and terms, represents a responsible approach to supporting national security,” the spokesperson said.

The Pentagon has consistently said it has no interest in using AI for mass surveillance of Americans or for fully autonomous lethal weapons, but it wants maximum flexibility for any lawful application.

The agreement marks a notable evolution for Google, which has historically been cautious about deep military involvement, most famously pulling back from Project Maven several years ago after internal employee protests. Its willingness to now sign on with fewer restrictions than some rivals signals a pragmatic shift as the race to deploy advanced AI in defense intensifies.

The move follows an ongoing fallout between Anthropic and the Pentagon. Earlier this year, Anthropic clashed with the Pentagon after refusing to remove guardrails designed to prevent its Claude models from being used in autonomous weapons or domestic surveillance. The standoff led the Defense Department to designate Anthropic a “supply-chain risk,” a serious blow for the startup.

By contrast, Google, OpenAI, and xAI appear more willing to accommodate the Pentagon’s desire for broader access in exchange for access to major government contracts and strategic relevance.

However, this latest development indicates that artificial intelligence has moved from a commercial curiosity to a core asset in great-power competition. As the U.S. seeks to maintain its technological edge, particularly against China, the Pentagon is determined to harness the most powerful commercial AI models rather than relying solely on slower, in-house development.

While the deal offers significant revenue potential and strengthens Google’s position in the rapidly expanding government AI market, it also carries risks, from potential employee backlash and reputational concerns to future ethical and regulatory scrutiny over how the technology is ultimately deployed.

As more AI companies embed themselves in the national security apparatus, the line between Silicon Valley innovation and military application continues to blur. The concern, thus, remains whether these carefully negotiated guardrails will hold in practice once the models are integrated into real-world classified operations.

Peter Schiff Predicts Bitcoin Collapse: “It Will Crash Close to Zero”

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Bitcoin critic Peter Schiff has once again stirred conversation across the financial world with a stark warning about the future of Bitcoin.

Known for his unwavering support of gold and skepticism toward BTC, Schiff has doubled down on his bearish stance, predicting that Bitcoin will collapse to zero.

This familiar prediction from Schiff, a vocal critic of Bitcoin since its early days, has been repeatedly argued that the digital asset lacks intrinsic value. Unlike gold, which he champions as “real money” with industrial uses, historical precedent, and tangible scarcity, Schiff views Bitcoin as pure speculation backed by nothing more than collective belief.

In his latest remarks, he reiterated that while Bitcoin may not hit literal zero in the immediate future due to its widespread adoption, its price could fall so dramatically that the difference between “near-zero” and actual zero becomes irrelevant for most investors.

He has previously suggested scenarios where BTC could drop to $20,000, $10,000, or even lower if key support levels break. Amid his prediction, many users pointed out that Schiff has been calling for Bitcoin’s crash for over 15 years, predictions that have consistently failed as BTC rose from pennies to all-time highs above $100,000 in previous cycles.

Others joked that Schiff is simply “fudding for entry” or that he missed the boat early on and can’t move past it. Some even referenced past bold claims, noting that Bitcoin has survived multiple “death” predictions and market crashes only to reach new heights.

At the heart of Schiff’s argument is his belief that gold is the superior store of value. He frequently compares the two assets, pointing out periods when gold has outperformed Bitcoin on a relative basis, especially when priced in gold terms (the BTC/Gold ratio).

Schiff has urged investors to sell Bitcoin and rotate into gold and silver, arguing that tokenized gold could eventually combine the best features of both worlds’ physical backing with digital transferability, rendering Bitcoin obsolete.

Bitcoin supporters, however, counter that BTC has proven itself as “digital gold” through its fixed supply of 21 million coins, decentralized network, and growing institutional adoption, including corporate treasuries and potential nation-state reserves.

History of Schiff’s Predictions

This is far from Schiff’s first warning. He has issued numerous “Bitcoin to zero” or major crash forecasts since 2013, including claims it would never reach $50,000 (which it did multiple times) and that its 2021 peak around $69,000 was the “top.”

Despite these misses, Schiff remains committed to his thesis, often framing Bitcoin as a “gigantic pump-and-dump” scheme. Critics argue his persistence shows intellectual honesty and long-term conviction. Supporters of Schiff say he’s simply early, warning about risks in an asset he believes has no fundamental floor.

Outlook

As of late April 2026, Bitcoin continues to trade in a volatile range amid broader macroeconomic uncertainty, including inflation concerns, interest rate debates, and shifting global finance trends. The crypto asset declined as low as $76,357, after reaching a high of $78,227, erasing previous gains.

Whether Schiff’s latest prediction proves prescient or becomes another data point in the long list of failed Bitcoin predictions, remains to be seen.