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On July 23, the global asset pricing system underwent a sharp repricing. The Brent crude oil futures Settlement Price closed at $100.69 per barrel, up 7.04% on the day, and for the second time in many days it returned above the $100 level. At the same time, the yield on the 10-year US Treasury intraday broke through 4.7%, reaching the highest level since January 2025. The DXY rose in tandem, closing at 101.445, up 0.32%. The simultaneous

Catching the dip $LAB is now being made tangible ‌

$ETH The long positions established starting Thursday achieved their target as scheduled. Amid most bearish sentiment, they stayed firm in their strategy and judgment. Next, look for a range between 2,000 and 2,100.

#MicronOvertakesMetaInMarketValue
The latest earnings report from Micron has delivered one of the strongest confirmations yet that the global artificial intelligence infrastructure expansion remains far from over. At a time when many investors were debating whether AI spending was beginning to cool, Micron produced results that not only exceeded expectations but also forced the market to reassess the scale of future demand for advanced memory technology.
For fiscal Q3 2026, Micron reported earnings per share of $25.11 on revenue of $41.5 billion. Wall Street had projected EPS of approximately $20.39 and revenue near $35.1 billion, making this one of the company's largest earnings surprises in recent years. Compared with the same quarter last year, when Micron earned just $1.91 per share, the company has achieved an extraordinary year-over-year earnings expansion driven almost entirely by AI-related demand.
The market reacted immediately. Following the announcement, Micron shares climbed more than 13% in after-hours trading, approaching their yearly highs as investors rushed back into semiconductor stocks. The report strengthened confidence across the broader AI hardware sector, with analysts raising expectations for companies supplying the infrastructure behind large-scale artificial intelligence systems.
Perhaps the biggest highlight was not the quarter that ended but the guidance for the next one. Micron expects fiscal Q4 revenue of approximately $50 billion, significantly above Wall Street estimates of around $43.2 billion. Adjusted earnings are projected near $31 per share, while gross margins are expected to reach an impressive 86%, reflecting the company's growing pricing power in a supply-constrained market.
The company also generated record free cash flow during the quarter and expects free cash flow to exceed $30 billion in Q4. Such financial strength gives Micron the flexibility to expand production capacity, invest in future technologies, return capital to shareholders, and maintain a strong competitive position within the rapidly growing AI ecosystem.
To prepare for future demand, Micron raised its fiscal 2026 capital expenditure forecast to approximately $27 billion and indicated that spending in fiscal 2027 will move beyond the mid-$40 billion range. These investments will primarily expand manufacturing facilities capable of producing the advanced memory solutions required by next-generation AI hardware.
Management also rewarded shareholders by increasing the company's dividend by 30% while continuing its share repurchase program. These moves demonstrate confidence that current growth is sustainable rather than temporary.
One of the most significant developments involves High-Bandwidth Memory (HBM), the specialized memory technology powering today's most advanced AI accelerators. Micron confirmed that its entire HBM production for 2026 has already been sold, while customer demand continues to exceed available supply. Management stated that the company can currently satisfy only about half to two-thirds of customer requests, highlighting the exceptional demand environment.
This matters far beyond traditional semiconductor investing. Every AI data center, cloud computing platform, enterprise AI application, and advanced GPU cluster depends on high-performance memory. As demand for AI models continues expanding worldwide, companies like Micron become increasingly important components of the industry's foundation.
Micron's strategic collaboration with Anthropic further strengthens its role within the AI ecosystem, positioning the company as more than just a memory supplier. It is becoming a key infrastructure partner supporting the next generation of artificial intelligence development.
The implications also extend into digital assets. AI-focused crypto projects such as TAO, RNDR, and Akash rely on continued expansion of AI infrastructure. When one of the world's leading memory manufacturers reports record earnings, sold-out production, expanding margins, and stronger-than-expected guidance, it reinforces the broader investment thesis supporting AI-related technologies across multiple sectors.
Micron's latest quarter demonstrates that AI infrastructure investment is not slowing. Instead, demand continues accelerating, creating opportunities that may still be in the early stages of a much larger technological transformation.
#MicronEarningsBeatExpectationsSharesRise
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Booz | Allen | Hamilton just tested 5 AI coding models across 2,800 trials and 460,000 lines of code.
Chinese LLMs produced more vulnerable code when the developer appeared to be working for the US government.
The vulnerabilities were obfuscated and undetectable by traditional security tools. Qwen3-Coder, already embedded in widely used development tools, was the worst offender.
@BoozAllen Recommendation is direct: ban untrusted AI models from government and critical infrastructure, establish end-to-end software provenance and independently test every model before deployment.
The Huawei comparison in the report is worth reading. The US spent a decade watching Chinese telecom manufacturers embed themselves in American infrastructure.
The rip-and-replace cost reached billions and is still ongoing in 2026. Booz Allen argues the Chinese open-source AI ecosystem presents a greater threat due to the speed and scale of adoption.
This is the exact problem @Conste11ation built Gate AI to solve. It sits inline between the AI agent and the model provider, scanning every request and every response in real time.
Prompt injection defense scores 97.4% F1 at a strict 1% false-positive budget across 16 public benchmarks 10 points ahead of Lakera Guard, which Check Point acquired for $300M.
Every interaction produces a tamper-evident audit trail anchored to the Digital Evidence layer. Cryptographically verifiable by anyone, not just trusted. Free to start, self-serve, no procurement loop.