There's a Quiet Plan to Shrink Your Dollar — And It Has a Name

What if we told you there's a plan in Washington to make your dollar worth less—and it's already in motion?

Sounds crazy. But it's real. And it has a name.

It's being called the "Mar-a-Lago Accord."

The idea is to weaken the dollar on purpose—to make American exports cheaper and bring factory jobs back home.

Here's how: tariffs on imports, pressure on other countries to lift their currencies, and a dollar pushed lower by design. That's the strategy. The trouble is what it costs you.

Because a weaker dollar means every dollar you've saved buys less.

Think your savings are safe? Think again.

This won't hit like a crash. No headline, no warning. Your dollar just buys less… then less… until a lifetime of work quietly slips away—and you never see a single withdrawal.

That's the part nobody's warning you about. By the time most people feel it, it's already too late.

But you don't have to stand for it. Smart Americans are already moving to get their wealth out of the dollar's path—before the slide picks up speed.

See the plan—and how to fight back—before it's too late.

Inside, you'll get the 3 secret strategies you can put in place starting today—so a weaker dollar doesn't decide what your money is worth tomorrow.

AMD and Cerebras Create A New Blueprint For Hardware

By Jeffrey Neal Johnson. Publication Date: 7/24/2026.

Artificial intelligence (AI) infrastructure is hitting a physical wall. As large language models grow exponentially, the legacy approach of throwing large, monolithic graphics processing units at the problem is breaking down during the inference phase.

By physically separating prompt processing from token generation, Advanced Micro Devices (NASDAQ: AMD) and Cerebras Systems (NASDAQ: CBRS) have engineered a structural bypass for legacy computing bottlenecks. This heterogeneous architecture delivers exceptional efficiency in ultra-low-latency environments, positioning both hardware developers to capture a share of the premium enterprise inference market.

Cracking Compute: Why Monolithic Chips Stumble

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One of the most successful fund managers of the past 50 years put more than $4.5 billion - over half his fund - into a single, little-known company. His firm then bought more shares for 61 straight trading days, and the former CEO of Google soon struck a nine-figure partnership with the same company.

This company controls nearly a million acres of scarce, irreplaceable minerals now protected by a White House executive order signed January 14, 2026. It has already outperformed Apple, Amazon, and the S-P 500 combined - and Whitney Tilson believes the biggest gains are still ahead.

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Understanding how AI models generate text or code reveals why this partnership matters. Inference involves two very different workloads. First, the system must process the prompt and context window, which requires high computational throughput to digest thousands of words in real time. Second, the system generates the response one token at a time, a process that demands ultra-low latency and immense memory bandwidth.

Monolithic chips attempt to handle both tasks simultaneously, creating a bottleneck as the processor waits for memory to catch up. The technical combination unveiled at the Advancing AI 2026 event is designed to address this bottleneck.

AMD brings its Helios rack-scale systems to manage high-throughput prompt processing, while Cerebras Systems integrates its Wafer-Scale Engine to handle rapid-fire token generation. Operating as a single, disaggregated workflow, the two computing engines handle the specific tasks for which they were designed.

Expanding the Moat: How Hardware Efficiency Builds Margins

From a fundamental valuation perspective, hardware efficiency can translate directly into pricing power. Data center operators are constrained by power availability and cooling capacity, making energy efficiency one of the most important metrics in cloud computing. The joint solution aims to achieve a fivefold increase in tokens per second per watt compared with standalone hardware.

AMD expects the Helios platform to deliver 30% more inference tokens per dollar than legacy monolithic racks. When cloud service providers can generate more output using the same energy footprint, their operating margins can expand. That structural total-cost-of-ownership advantage could provide both hardware manufacturers with a formidable economic moat as hyperscalers look to optimize capital expenditures.

Capturing the High-Rent District: Premium Latency Markets

High-volume workloads, such as batch processing, prioritize total token generation, but the next frontier of artificial intelligence demands instant response times. Applications such as autonomous agents, real-time customer service copilots and high-frequency coding assistants require ultra-low latency. If a cybersecurity protocol takes even two seconds to generate an inference response, the breach may already have occurred.

This latency-sensitive segment represents one of the highest-margin opportunities in the sector, and tier-one enterprise adoption is already accelerating. Cerebras Systems recently partnered with CrowdStrike to integrate wafer-scale inference into the Falcon AIDR platform, validating demand for real-time security processing. Concurrently, Microsoft Azure plans to deploy the Helios system across its data centers in the second half of 2026, offering broad distribution channels for the new architecture.

AMD also executed a notable capital allocation maneuver by securing a $5 billion equity stake in Anthropic. Rather than simply investing cash for a financial return, the agreement locks in commitments to core graphics processing unit capacity for 2027. Securing captive demand from one of the leading foundation-model developers reduces the risk associated with forward revenue projections and supports high utilization rates for the new disaggregated infrastructure.

Scaling Through the Noise

Despite these structural tailwinds, retail market sentiment can misprice short-term volatility. Shares of Cerebras Systems recently fell about 10% intraday to around $194, well below their post-IPO peak. First-quarter earnings revealed a net loss of 4 cents per share, beating consensus estimates, along with strong core revenue of $191.3 million. Management warned of a 10- to 15-percentage-point decline in cloud and service margins in the near term.

Analysts recognize that not all margin compression is the same. Cerebras Systems is currently renting external, third-party compute capacity to fulfill a rapidly growing tier-one enterprise backlog. This temporary cost burden is a direct result of demand outpacing current deployment capacity. Sacrificing near-term margins to secure market share is a classic infrastructure growth strategy, not necessarily a signal of structural pricing weakness.

The accompanying bearish optics of insider selling require similar context. Liquidations by the chief operating officer and chief accounting officer occurred around the expiration of the May 2026 IPO lock-up period and during standard quarterly 10b5-1 programmatic selling windows.

Executive diversification following a major liquidity event is a routine corporate mechanism and is separate from underlying business conviction. Active securities litigation related to post-IPO volatility represents standard plaintiff posturing and poses a limited threat to the underlying technology moat.

Completing the Build: Why Disaggregated Compute Wins

AMD presents a different fundamental profile, trading near $531 after an impressive 146% year-to-date run. While the valuation is steep, with a forward price-to-earnings ratio of 83.94, the underlying growth narrative supports the premium. First-quarter earnings per share reached $1.37, driven by 37.8% year-over-year revenue growth. Management has established additional support for AMD through an active $6 billion share buyback program initiated in May 2025.

The transition toward heterogeneous, specialized compute clusters is no longer a theoretical roadmap. It is actively being deployed across major cloud providers. By separating distinct AI inference workloads into optimized hardware streams, this partnership could reshape the economics of data center scaling. Investors evaluating semiconductor exposure may want to monitor how aggressively hyperscalers adopt this disaggregated hardware approach as enterprise deployments accelerate through the end of 2026.

Forget Tesla: These 2 Earnings Reports Reveal Where the Auto Market Is Heading

By Sam Quirke. Publication Date: 7/27/2026.

General Motors Co. (NYSE: GM) and Mobileye Global Inc. (NASDAQ: MBLY) both reported earnings recently. Together, they said as much, if not more, about where the auto industry is actually heading than all the noise surrounding Tesla Inc. (NASDAQ: TSLA) after its own report.

The two companies sit at opposite ends of the same industry. GM, a $73 billion auto giant, shows what consumers are buying, what they are willing to pay and whether the shift to electric vehicles is making or losing money. Mobileye, an $8 billion auto-technology company, shows what automakers are spending on the driver-assistance and autonomy systems expected to define the next decade.

He bet half his $9 billion on ONE stock (Ad)

One of the most successful fund managers of the past 50 years put more than $4.5 billion - over half his fund - into a single, little-known company. His firm then bought more shares for 61 straight trading days, and the former CEO of Google soon struck a nine-figure partnership with the same company.

This company controls nearly a million acres of scarce, irreplaceable minerals now protected by a White House executive order signed January 14, 2026. It has already outperformed Apple, Amazon, and the S-P 500 combined - and Whitney Tilson believes the biggest gains are still ahead.

Watch the free presentation and get the name and ticker now

Read together, the two reports point to a conclusion that will not please anyone hoping the future of driving will arrive on schedule. For investors willing to accept that reality, however, both stocks offer an interesting way to play it.

GM Is Making Money the Unglamorous Way

The message from GM’s report was clear: demand is solid. The company beat expectations on both the top and bottom lines and raised its full-year profit guidance for the second time this year. That is not something a business typically does when it is worried about what is ahead.

What lies beneath those results is even more interesting. GM has held pricing relatively steady rather than trying to buy volume through discounts, with its incentive spending running comfortably below the industry average. That distinction matters because a carmaker that has to discount vehicles to move inventory is telling investors something very different from one that does not.

Unsurprisingly, the company’s truck and SUV franchises remain its engines. GM held well over 40% of the U.S. full-size pickup market during the quarter, and its large SUVs are outselling the nearest competitor by roughly three to one. Margins expanded meaningfully on lower warranty costs and better operating efficiency, while the software side of the business, built around OnStar and Super Cruise, continued to grow at a healthy clip.

There was one notable blemish: Management trimmed its net income guidance because of ongoing electric vehicle (EV) costs, even as it raised its operating profit outlook. In other words, GM’s traditional business is doing the heavy lifting, while the ongoing electric transition is still finding its footing.

Mobileye Is Winning Adoption but Losing Margin

Mobileye’s report was messier, but it was also more revealing. The company also beat analyst expectations, but its shares traded lower anyway on a combination of soft forward guidance and news that founder Amnon Shashua intends to step down, with no successor named yet.

That latter headline was always likely to spook investors, but the most important number was buried in the guidance. Unit shipments grew year over year, meaning automakers are still installing Mobileye’s systems in more vehicles. However, the average price per system fell, helping explain why the company is guiding for roughly flat revenue despite selling more units.

That is the whole story in a sentence: Adoption of driver-assistance technology may be intact and broadening, but the economics are not improving at the same pace. They are being squeezed in part by the growth of Chinese automakers exporting vehicles at scale. In other words, Mobileye’s technology is being used more widely, but that increased adoption is not translating into stronger pricing.

Analysts See Similar Upside but Different Risk Profiles

The market’s reaction to both reports was interesting. GM saw a wave of price-target increases in the days after its earnings release, with Goldman Sachs, Morgan Stanley, Royal Bank of Canada and TD Cowen all moving higher while maintaining bullish ratings. The most aggressive came from TD Cowen, whose new street-high target of $132 implies close to 60% upside from current levels.

Mobileye’s results were not covered as extensively, but the identified upside opportunity was equally compelling. The team at Needham reiterated its Buy rating on the stock with a $13 target, also implying close to 60% upside.

However, investors getting involved need to understand that Mobileye’s chart is not for the faint of heart. The stock was hitting all-time lows as recently as April. GM, on the other hand, is sitting just a few dollars below its all-time high.

Why GM Looks Stronger Than Mobileye Right Now

With that in mind, GM clearly has the stronger hand and offers investors the safer opportunity. It is generating cash from products people are willing to pay full price for, raising guidance rather than trimming it, and benefiting from a market that has rewarded its track record.

Mobileye may still get there eventually, but this week’s report added two new uncertainties to a story that already had plenty: Falling per-unit pricing and an unplanned leadership transition are not usually the conditions under which a stock begins reversing a multiyear sell-off.

You could argue that the case for avoiding auto stocks altogether is easier to make than it was a year ago, given tariffs, commodity costs and an electric transition that continues to cost more than expected. But sitting out the sector entirely means ignoring at least one business that is currently converting strong demand into rising profit forecasts. That is not something the industry is offering in many other places right now.