Z O N E P R I M E

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🥇 Gold is becoming the new focus of global capital!
While the market is paying attention to crypto assets, AI, and tech stocks, another capital shift is underway:
📊 According to Goldman Sachs:
Over the past 3 weeks, speculative funds have cumulatively bought about $22.2 billion worth of gold futures!
This is:
🔥 The largest gold futures buying wave in more than 10 years!
Why is capital accelerating into gold?
The core reasons may come from several directions:
🌍 1. Rising global demand for safe havens
Amid increasing macro uncertainty, gold is once again becoming an important asset in institutional portfolios.
💰 2. Capital is looking for inflation-hedging value
Gold has long been seen as a key tool for hedging currency depreciation and financial risks.
📈 3. Bullish sentiment in the market is clearly heating up
The data shows:
Open interest on bullish options for gold ETFs
minus open interest on bearish options
is approximately:
🔥 2.4 million contracts
the highest level since February this year.
This suggests more and more funds are betting that gold will continue to rise.
In decades past:
Gold represented value storage in the traditional financial era.
And Bitcoin is becoming a new kind of value asset for the digital era.
In the future, asset allocation may no longer be about choosing “gold vs. Bitcoin,” but rather:
🌐 An era of combining traditional safe-haven assets + digital assets.
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“Reuters” reveals Meta’s predicament after AI layoffs:
Cybersecurity incidents up 40%, time spent cleaning up up 70%

In recent months, social media giant Meta has repeatedly carried out mass layoffs to develop AI. In a follow-up report published by Reuters on August 26, it noted that Meta CEO Mark Zuckerberg had already proposed an AI transformation plan as early as January this year. The initiative, code-named Organization Transformation (OT), aims to move Meta toward an “AI-native” operating model, where AI takes over much of the daily work originally handled by employees, leaving only smaller teams with higher talent density to oversee operations. After news of Meta’s layoffs plan leaked in March, employee morale was hit hard, and supervisors were even told to play down the handling—only informing teams that their future roles would “evolve” because of AI.

According to an internal post by Meta’s CTO Andrew in June, the amount of code written by employees using AI has grown year over year by up to 220%, but the number of new features or upgrades that were actually deployed to benefit users has grown by only 36%. Instead of improving performance, the wave of AI-assisted coding has raised concerns about reliability, leading to “large-scale, disruptive AI agent behavior.” As a result, major technical and cybersecurity incidents increased by 40% compared with the same period last year, and the time employees spent “cleaning up” issues surged by 70%.$AAPL.US

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Wach提出九问

Wach raised nine questions in one go, and each of them hit the mark. But he did not give answers on the spot; instead, he said the Federal Reserve’s special working group would study these issues in subsequent reports.

For the Federal Reserve, the most core challenge is how artificial intelligence will affect the employment objective within its dual mandate. Two of the questions are centered on jobs. Historically, general-purpose new technologies like AI have always eliminated some jobs, but the number of new jobs ultimately created has often exceeded the number of jobs lost. Some people’s situation may worsen, but most people can benefit from it.

AI may be different.

AI can see, hear, speak, and perform logical reasoning. In the future, it will also smoothly carry out various physical labor. Therefore, its impact will not be confined to a single industry. Although some new jobs may be created, if supporting policies are lacking, the number of newly added positions will likely be far less than the number of existing jobs today.

AI may have already begun to disrupt employment in the U.S. information sector. This sector includes publishing, broadcasting, media, website operations, and software development, among other areas. Employment in this segment peaked in November 2022, the same month ChatGPT was first released. Since then, industry employment has declined by 11%. However, employment changes are influenced by multiple factors, making it difficult to isolate the impact attributable solely to AI.

The other two questions focus on labor productivity. Productivity is closely tied to employment and is also one of the core drivers of economic growth. Looking back at history, after new technologies are introduced, it often takes years or even decades for productivity benefits to become visible. Past experience suggests that in the early stages—before supporting employee training programs and business processes are fully formed—new technologies tend to put downward pressure on productivity.

Artificial intelligence will significantly shorten this time frame.

Continue with regular investment: #BTC , BNB, and below—large technology companies
$NVDA.US


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BTC is sitting around $80K after a strong 24h move. On the 15m chart, price is still below the short-term MA/EMA levels near $80.1K–$80.25K, so this zone is important.

📈 Break & hold above $80.25K → bullish continuation could target $80.55K / $80.85K
📉 Rejection from $80.1K–$80.25K → watch $79.75K support.

For now, I’d wait for confirmation instead of chasing the move. Keep risk managed and DYOR. 🚀

#BTC #Bitcoin #BTCUSDT #Crypto #Binance