I was just scrolling through my LinkedIn feed and came across this post from Binance.
I agree that with the right skills, focus, and positions, it’s possible to earn a strong monthly income. Tools alone don’t define value — mindset and execution matter a lot.
At the same time, I’m a bit confused by the message that tools like MS Office 365 are shown as “fake jobs.” Many professionals across finance, tech, operations, product, compliance, HR, and other functions rely on tools such as Excel, PowerPoint, Teams, and similar platforms every day to do real, impactful work — including inside large global companies.
Yes, there are many AI tools today that can assist with or even automate parts of PowerPoint, Excel, and other office tasks. But AI still supports the work — it doesn’t replace the thinking, decision-making, analysis, and responsibility behind it.
I’m genuinely curious: how do Binance employees typically work day to day? Do most roles rely mainly on tools like TradingView and trading platforms, or is this post meant to be more symbolic than literal?
I think it’s important to recognize that “real work” looks different across roles, and dismissing commonly used professional tools may unintentionally undervalue the work of many people.
In his latest video, @CZ said President Trump will do everything possible to pump the stock market this year — and that’s structurally bullish for crypto.
Here’s why 👇
When equities are aggressively supported, it signals loose financial conditions: • Fiscal stimulus • Political pressure for market optimism • Liquidity over discipline
Markets don’t operate in isolation. Risk appetite flows.
Stocks up → confidence up → capital rotates into higher beta assets. Crypto sits at the far end of that risk curve.
Historically: • Stock rallies expand liquidity • Liquidity seeks asymmetric returns • Crypto absorbs excess capital faster than any other asset class
If the administration prioritizes market performance, the Fed is less likely to overtighten, volatility stays suppressed, and speculation thrives.
That environment favors: • BTC as a liquidity hedge • ETH as growth beta • Alts as reflexive momentum trades
But zooming out — cycles still matter.
Historically, crypto follows a 4-year halving cycle: • Post-halving → bull market • Following year → peak • Year after → bearish / distribution phase
With 2024 as the halving and 2025 historically a peak year, 2026 has historically been bearish (2014, 2018, 2022).
That doesn’t mean collapse — it often means: • Lower returns • Choppy price action • Capital rotating back to safety
Crypto doesn’t need perfect fundamentals in a liquidity-driven market. It needs capital looking for upside — but timing matters.
This isn’t ideology. It’s flow mechanics + cycle awareness.
When stocks are politically protected, crypto becomes the leverage trade on optimism — until the cycle turns.
As I mentioned earlier, I opened a long position on $ETH /$USDT I’m still holding the position, and the trade is moving perfectly according to the plan.
China vs. the US in the AI “Decathlon”: Why Beijing Is Increasingly Seen as the Winner
The global AI rivalry between the United States and China is often framed as a race. But that metaphor may be misleading. According to analysts, what’s unfolding looks less like a sprint—and more like a decathlon. This week, Microsoft president Brad Smith joined Nvidia CEO Jensen Huang and Elon Musk in publicly warning that the US may be losing ground to China in the AI race. Not in cutting-edge models, but where it increasingly matters: real-world adoption beyond the West. Not One Race, but Many American companies still dominate advanced semiconductors, cloud infrastructure, AI platforms, and talent attraction. China, however, is pulling ahead in areas that translate faster into economic and geopolitical influence—industrial robotics, deployment of AI hardware, quantum communications, and battery technologies. Crucially, China is winning hearts and servers across the Global South. The Power of Cheap, Open AI Chinese firms, backed by state subsidies, are exporting low-cost open-source AI models that are highly attractive to developing economies. Models like DeepSeek R1 may not be the most advanced—but they are accessible, affordable, and deployable at scale. For over 140 countries, China is already a larger trading partner than the US. Through infrastructure, trade, and investment, Beijing is nudging these countries toward Chinese tech standards—AI included. Hardware: America’s Edge—and China’s Leverage The US still holds a major advantage in computing power. Nearly half of the world’s data center capacity is American, compared to roughly a quarter in China. Nvidia’s most advanced chips remain unmatched, and Chinese alternatives like Huawei’s Ascend still lag in performance and production scale. But there’s a catch: rare earths. China dominates the supply chain—controlling the vast majority of rare-earth mining, processing, and magnet production. The AI hardware of the future depends on materials Beijing already owns. Trump’s Gamble In December, the Trump administration reversed course and lifted some restrictions on exporting Nvidia’s H200 chips to China. The logic: better to keep China dependent on American hardware than to push it into full technological self-sufficiency. Chinese tech giants like Alibaba and ByteDance are reportedly lining up massive orders—millions of chips worth tens of billions of dollars. Supporters say this preserves US leadership. Critics warn it may accelerate China’s ability to close the compute gap. The Real Risk The core question isn’t who has the best models today—but who controls the ecosystem tomorrow. As one analyst put it: The US may own the blueprints and the code, while China owns the factories, the hardware, and the physical infrastructure. If that happens, the balance of economic and geopolitical power could shift far beyond artificial intelligence. The AI race isn’t being won in a lab.It’s being won in supply chains, emerging markets, and the real world. $BTC $ETH $BNB
$ETH In my view, reaching $5,300 is very realistic in the medium term, based on current market structure and historical price behavior. Even if the price temporarily revisits lower levels around $1,500, this would still fit within a larger accumulation phase before continuing the move upward toward $5,200.
I have opened a LONG position and will keep it open for now.
$ETH showed an excellent reaction from the most important demand zone — exactly as expected. The situation right now looks very, very strong.
🔸 Main condition: We must not settle below $2,600-2,850 — that level remains the key support.
🔸 Bullish trigger: If ETH consolidates above $3,600 then $4,000, the path opens directly toward the $5,000–$8,000 zone.
My long-term expectations continue to play out: ✔️ First, I was waiting for BNB → $1000, and we already hit that target. ✔️ Now I’m still waiting for ETH → $10,000–$11,000 — nothing has changed.
Momentum is growing. Structure is intact. The targets are alive.
Getting ready for one of the most anticipated conversations in crypto: Exclusive LIVE — The Big Debate: Bitcoin VS Tokenized Gold @CZ vs Peter Schiff — two opposite worlds, one stage. This isn’t just hype — it’s a real, timely, and high-impact case study for the future of global money.
What I’m excited to know from this debate:
🔶 1. Store of Value Showdown Will Bitcoin’s digital scarcity continue to outperform in the long run, or can tokenised gold finally challenge BTC by combining tradition with blockchain tech?
🔶 2. Tokenized Gold: Real Utility or Just a Trend? How will tokenised gold behave in real-world market stress? Can it become a stable alternative for institutions or just a bridge between old and new finance?
🔶 3. BTC in a Multichain World Does Bitcoin remain the king in an ecosystem now full of L1s, L2s, tokenisation, RWAs, and new monetary models?
🔶 4. Institutional Adoption Who will institutions trust more? A fully digital, decentralised asset… or gold wrapped in blockchain rails with centuries of history behind it?
🔶 5. The Macro Case In a world of inflation, uncertainty, and geopolitical tension — what becomes the true safe haven? Gold 2.0 or Gold on-chain?
This debate is exactly the kind of honest, real-market discussion the industry needs right now — no theory, just actual cases and real-world implications.