Google has entered into an agreement with the U.S. Department of Defense to provide its artificial intelligence models for use on classified systems.

According to The Information, citing a person familiar with the matter, the Pentagon can deploy Google’s AI tools for “any lawful government purpose” under the terms of the deal. The arrangement places Google alongside OpenAI and xAI, both of which have also secured contracts to supply AI models for classified use.

Such classified networks support highly sensitive operations, including mission planning and weapons targeting, where access to advanced AI systems is increasingly seen as critical.

The agreement is part of a wider push by the Pentagon, which in 2025 signed contracts worth up to $200 million each with leading AI developers, including Anthropic, OpenAI, and Google. Earlier reporting from Reuters indicated that defense officials had been urging AI firms to make their systems available on classified networks without the usual user-facing restrictions.

AI safeguards and usage restrictions

As part of the contract, Google is expected to assist in modifying its AI safety filters at the government’s request, the report said.

The agreement includes explicit safeguards stating that “the AI System 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.”

At the same time, the terms clarify that Google does not have the authority to “control or veto lawful government operational decision-making,” leaving final use decisions in the hands of defense officials.

Google said it continues to support government agencies across both classified and unclassified work. A company spokesperson added that it remains aligned with the view that AI should not be used for domestic mass surveillance or autonomous weapons without human oversight.

Friction over AI usage boundaries

The Pentagon has maintained that it does not intend to deploy AI for mass surveillance of Americans or for fully autonomous weapons, while still insisting that “any lawful use” of AI should remain available to the government.

That position has created friction with some AI providers, most notably Anthropic. The company resisted earlier Pentagon demands to remove safeguards from its Claude models that restrict use in autonomous weapons and domestic surveillance.

The dispute escalated to the point where the Defense Department labeled Anthropic a “supply chain risk,” even as interest in its technology persisted within government agencies.

Additional reporting suggests that internal demand has complicated the Pentagon’s stance. The National Security Agency has reportedly secured access to Anthropic’s advanced “Mythos Preview” model despite the designation. The model, known for its strong cyber capabilities, is being used by select organizations to identify vulnerabilities in digital systems.

The situation has led to a broader standoff between AI developers and defense officials over how far usage rights should extend, especially around the scope of “all lawful purposes” and the limits of safety guardrails in military environments.

The US Commodity Futures Trading Commission on Tuesday sued the state of Wisconsin in the agency’s latest effort to assert jurisdiction over prediction markets after the state sued multiple platforms.

The CFTC said in a statement that it filed the lawsuit against Wisconsin “in response to the state’s lawsuits against Kalshi, Polymarket, Crypto.com, Robinhood, and Coinbase, five CFTC-regulated prediction markets.”

“States cannot circumvent the clear directive of Congress,” CFTC Chairman Michael Selig said. “Our message to Wisconsin is the same as to New York, Arizona, and others: if you interfere with the operation of federal law in regulating financial markets, we will sue you.”

It is the agency’s fifth lawsuit against a US state that seeks to halt action against prediction markets. The CFTC sued New York on Friday and filed lawsuits against Arizona, Connecticut, and Illinois earlier this month after the states sued prediction market platforms.

Michael Selig speaking on stage at Bitcoin 2026 in Las Vegas on Monday. Source: YouTube

Wisconsin sued the five companies on Thursday, and like many US state authorities, argued that prediction markets offering sports-related event contracts are illegal betting that requires state gaming licenses.

It is an assertion the platforms and the CFTC have rebuffed in the past, arguing the contracts are regulated only under federal law.

The CFTC argued in its latest complaint, filed alongside the Justice Department’s Civil Division in a Wisconsin federal court, that it has “exclusive jurisdiction” over the event contracts on prediction markets, regulated as designated contract markets under federal law.

Related: With no bipartisan leadership, CFTC won’t ‘slow down‘ on rulemaking

“Wisconsin’s attempt to criminalize and shut down federally regulated markets intrudes on the exclusive federal scheme Congress designed to oversee national swaps markets,” the CFTC wrote in its complaint.

The agency asked the court to rule that state gambling laws do not apply to CFTC-regulated designated contract markets and issue a permanent injunction prohibiting Wisconsin from taking action against prediction markets.

The CFTC’s complaint also named Wisconsin Governor Anthony Evers, Wisconsin Attorney General Josh Kaul and the Wisconsin Gaming Division and its administrator, John Dillett.

The Wisconsin Department of Justice, the state’s Division of Gaming and Governor Evers’ office were contacted for comment.

Magazine: How to fix suspected insider trading on Polymarket and Kalshi

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Solana price has been consolidating within the $75-$100 range since early February this year. Now, a confirmed breakout from a descending parallel channel puts the asset in a position to challenge higher resistance levels after months of sideways movement.

After climbing to a month high of $90.3 on April 17, Solana (SOL) price fell nearly 8% to $83 amid profit taking by investors and a broader rotation away from risk assets amid concerns over stalled U.S.-Iran peace negotiations and rising oil prices. The 7th largest token has fallen nearly 33% so far since the beginning of this year. 

Despite this significant drop, its charts have now flashed a bullish signal for the medium term. 

On the daily chart, Solana price has broken out of a multi-year descending parallel channel from mid-September last year. A breakout from such a pattern has historically led to a shift in market sentiment from bears back to bulls. 

In Solana’s case, the breakout positions Solana for a steady upside in the coming weeks with a potential rally to as high as $155, a level calculated by adding the height of the channel to the point of breakout.

However, other technical indicators suggest some caution ahead of the next leg higher. Notably, the supertrend has flipped red, which means the immediate short-term trend remains under selling pressure.

At the same time, the MACD lines have formed a bearish crossover, which has often been the precursor to further consolidation before a sustained move upward.

Meanwhile, a major bullish catalyst for the ecosystem is that Solana Company recently raised $8 million through a share sale to global institutional investors like Mirae Asset and HashKey Capital.

The development allows the digital asset treasury to significantly expand its holdings by purchasing additional SOL tokens directly from the market, providing a solid foundation of institutional demand.

Private companies are gradually moving past the early stages of experimenting with artificial intelligence, with many larger firms now beginning to report measurable returns from their investments.

According to a new survey by Deloitte, nearly two-thirds (64%) of private companies with an annual revenue of $500 million or more have achieved moderate to significant return on investment (ROI) from AI initiatives. This marks a sharp contrast from smaller firms, where only 11% reported such levels of returns.

The findings also bring to light a broader shift in how private companies are now approaching AI. More than half (52%) of the business leaders surveyed said that expanding AI use across their organizations is now a top-three priority for the next 12 months, a figure that has gone up significantly from 22% a year earlier.

At the same time, 63% of respondents said their organizations are actively investing in digital transformation initiatives, including AI, compared with 33% that remain in limited or pilot stages.

Scaling efforts and key challenges

Larger firms have been leading the charge in deployment. About 74% of higher revenue companies reportedly said they are expanding AI across select functions, compared with 38% of smaller firms.

The main business priorities driving this push are revenue growth at 71% and improved productivity at 62% as companies look to automate complex workflows.

Funding for these initiatives is largely coming from internal sources. Half of those surveyed said budget reprioritization will be their primary funding method, followed by existing operating capital at 43%.

Despite the progress, significant roadblocks still hinder full-scale implementation. Data quality and availability were cited as the biggest challenges by 72% of respondents. Other issues include gaps in AI skills and leadership (53%), integration with legacy systems (48%), and difficulty scaling projects beyond the pilot stage (48%).

The survey also found uneven oversight at the board level. While boards are generally active in areas such as technology investment and cybersecurity, fewer respondents said they are proactive in monitoring the ethical use of AI or leadership readiness for digital transformation.

The findings are based on a March 2026 survey of 100 U.S. private company leaders, including senior executives and board members.

XRP gains institutional attention as ETF inflows and market demand reshape crypto investment strategies.

Amidst Wall Street’s continued increase in crypto asset allocation, Bitcoin ETF inflows have surpassed $21 billion, signifying an unprecedented influx of mainstream capital into this market. 

However, what truly ignites a new wave of market imagination is not just Bitcoin itself, but the long-undervalued XRP. With a gradually clear regulatory environment, surging demand for cross-border payments, and growing institutional interest, XRP is transitioning from a “fringe asset” to a potential core allocation target.

In this trend, more and more investors are seeking strategies that can capture market growth while also providing risk hedging capabilities. For example, digital asset service platforms like XRP Power are offering users relatively stable participation paths through diversified product design and profit mechanisms, allowing them to achieve stable returns even in a volatile market environment. 

This combination of “growth + stability” may be the key to the next stage of competition in the crypto market.

Why choose XRP power for stable returns?

Regarding return sources, XRP Power utilizes a recycling mechanism based on green energy infrastructure (such as wind and hydropower) to provide continuous power support for system operation, thereby enhancing overall stability and efficiency. This model, combining physical energy and digital assets, helps enhance the sustainability and resilience of returns in volatile market environments.

In terms of security and compliance, XRP Power is headquartered in the UK and operates within a framework that references the EU’s MiCA (Crypto-Asset Market Regulation) and MiFID II (Markets in Financial Instruments Directive II), striving to align with international standards in transparency and investor protection. Furthermore, the platform incorporates a third-party guarantee mechanism; user assets are insured by Lloyd’s of London and undergo regular independent audits by PwC to enhance asset security and operational transparency.

Through this multi-layered structure of “underlying asset support + compliance framework + third-party audits,” the platform aims to build a relatively robust and sustainable return environment for users.

How to join XRP Power and start earning

1. Register an Account and Receive a New User Bonus

Quickly register an account using an email address. New users receive a $21 bonus upon registration as initial trial funds.

2. Choose a Suitable Earnings Plan

The platform offers various earnings contracts ranging from $100 to $100,000. Different contracts correspond to different earnings structures and periods, allowing users to flexibly choose according to their capital and risk tolerance.

3. Pay and Activate the Contract

Payment is supported through various mainstream digital assets, including USDT, USDC, Bitcoin, Ethereum, and XRP. The process is convenient, and funds arrive quickly.

4. Contract Activation and Earnings

After contract activation, the system will begin calculating earnings based on the selected plan and settle daily. Earnings will be automatically credited to your account balance. Users can choose to withdraw at any time or reinvest to increase potential earnings.

5. Popular Profit Contracts

Investment Amount: $1000 Investment Period: 7 days Daily Yield: $13.20 Total Profit: $92.40

Investment Amount: $5000 Investment Period: 15 days Daily Yield: $70.50 Total Profit: $1057.50

Investment Amount: $10000 Investment Period: 20 days Daily Yield: $153 Total Profit: $3060

Click to view daily profit details for different contracts.

6. The platform also offers user referral and team incentive programs to further enhance the diversity of profit opportunities. Users can earn long-term profit-sharing rewards by inviting friends to join the platform: enjoying a multi-tiered incentive structure of up to 3% + 2%, with increased potential profits from more referrals.

When a team reaches a certain size (e.g., more than 10 active members), users can unlock an additional monthly team reward mechanism, receiving more incentives based on the team’s overall performance.

This mechanism aims to encourage users to achieve both personal gains and team growth through sharing and collaboration, while simultaneously building a more active community ecosystem.

Summary

Since its launch in 2023, the XRP Power platform has expanded its business to 189 countries and regions worldwide, serving a continuously growing user base and gradually establishing its influence in the digital asset yield management field. The platform focuses on “user asset security and yield experience,” continuously improving its overall service capabilities through technological and mechanism optimization.

In terms of architectural design, XRP Power incorporates decentralized technology, ensuring key data is recorded on-chain and publicly verifiable, enhancing transparency and verifiability, allowing users to more clearly understand asset operations and yield sources.

Regarding the yield model, the platform strives to maintain relatively stable yield performance in different market environments through diversified strategies and risk mitigation mechanisms. Even in situations of increased market volatility, it is committed to providing users with continuous yield opportunities, rather than solely relying on market upturns.

For more details, please visit the official website.

Canada is proposing to ban crypto ATMs as part of a broader crackdown on fraud and money laundering, citing growing evidence that the machines have become a key tool for scammers.

The measure, included in the Liberal government’s Spring Economic Update released Tuesday, would eliminate crypto ATMs nationwide. Officials described the machines as a “primary method” for defrauding victims and laundering illicit funds.

“To protect Canadians by shutting down a primary method for scammers to defraud victims, and for criminals to place their cash proceeds of crime,” the government said, it plans to prohibit the machines entirely.

A crypto ATM (automated teller machine) may sound similar to a traditional cash machine that dispenses money from your bank account, but it works very differently. Instead of withdrawing cash, these machines let users convert physical cash into cryptocurrencies like bitcoin, which can then be sent to a digital wallet anywhere in the world, while bypassing traditional banking channels. That’s where the money-laundering risk comes in.

The proposal follows mounting concerns from law enforcement and regulators that crypto ATMs have become central to fraud schemes.

A 2023 internal analysis by Canada’s financial intelligence agency, FINTRAC, found that bitcoin ATMs are likely to remain “the primary method” fraudsters use to collect and launder funds from victims.

Canadian lawmakers are debating banning crypto as a payment method for electoral donations, citing concerns about the anonymity of fund transfers.

Canada was home to the first bitcoin ATM, installed in a downtown Vancouver coffee shop in 2013.

CFTC turns to AI tools and a new Innovation Task Force to police booming crypto and prediction markets as staff shrinks and CLARITY Act hangs over federal turf wars.

The U.S. Commodity Futures Trading Commission is turning to artificial intelligence to supervise surging crypto and prediction markets even as its workforce has shrunk by more than one‑fifth since 2024.
Chairman Michael Selig told the House Agriculture Committee that the agency has authorized Microsoft 365 Copilot across its staff and is building “AI‑driven surveillance systems to flag fraud, market manipulation, and insider trading” in digital asset and derivatives markets.

CFTC leans on AI as staff shrinks

According to a report cited by Selig, the CFTC’s headcount has fallen from about 708 full‑time employees at the end of fiscal 2024 to roughly 543 a year later, a reduction of just over 20%, even as Congress prepares to hand it primary oversight of non‑securities crypto trading.

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He argued that Copilot and other machine‑learning tools are compensating for that gap by ingesting large data sets from crypto exchanges, prediction platforms, and futures markets and surfacing anomalies for human investigators to review.

At the same time, Selig is trying to replace ad hoc enforcement with clearer guardrails.

In March, he launched an Innovation Task Force “dedicated to advancing clear rules of the road for American innovators” building in three areas: crypto assets and blockchain, artificial intelligence and autonomous systems, and prediction markets and event contracts, according to a CFTC release.

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The task force, led by senior adviser Michael Passalacqua and five other experts, will work with the Innovation Advisory Committee and coordinate with the Securities and Exchange Commission on joint initiatives.
“Our goal is to foster responsible innovation at home and ensure American market participants are not left on the sidelines,” Selig said, promising a forum for founders and developers to “come meet with the staff” rather than face only after‑the‑fact crackdowns.

Bitcoin 2026 underscores prediction market pivot

Selig amplified that message on April 27 at the Bitcoin 2026 conference in Las Vegas, where he appeared back‑to‑back with SEC chair Paul Atkins and told attendees that regulators are “turning over a new page” on crypto coordination.
He framed the CFTC’s agenda around property rights, saying “our country was founded on the idea of private property” and arguing that token holders and innovators deserve predictable treatment instead of overlapping enforcement from Washington and the states.

That stance matters for prediction markets, a sector that platforms like Polymarket and Kalshi have helped push to nearly $24 billion a month in trading volume as AI bots and Wall Street capital pour in.

The CFTC is simultaneously defending what Selig calls its “sole regulatory jurisdiction over prediction markets” in lawsuits against states including New York, Arizona, and Illinois, warning that a patchwork of gambling rules could fracture a market now moving into mainstream finance.

In a recent congressional hearing, Selig said the agency has “numerous investigations ongoing” in prediction markets and insisted that CFTC‑registered platforms must serve as the “first line of defense” against fraud before federal enforcement steps in.

With the CLARITY Act still pending in Congress and the Innovation Task Force ramping up, the CFTC is betting that AI‑enhanced supervision and formal rulemaking can keep pace with crypto derivatives and event contracts that now trade at global scale.