Good morning, everyone. Coffee in hand? Because the market woke up electric today.

Let's get straight to the point: the day is dominated by three forces — AI eating the world, oil catching fire in the Middle East, and long-term rates spooking markets again. If you have positions in tech, energy, or long-duration fixed income, pay attention. I'll prioritize what actually moves the needle for your portfolio.

1. Nvidia eyeing Anthropic's IPO: the bet that could redefine the AI sector

The fact: Nvidia is reportedly in talks to invest in Anthropic's initial public offering, valued at an impressive USD 100 billion.

My verdict: I'd Buy — if you can get in via secondary or pre-IPO, it's one of the most asymmetric bets in the sector. For those with stock market access only, NVDA remains the "shovel seller" of the gold rush.

Affected assets:

• NVDA (Nvidia) — reinforces dominant ecosystem thesis
• MSFT (Microsoft) — heavy investor in Anthropic via Azure
• AMZN (Amazon) — also invests in Anthropic via AWS
• Semiconductor and cloud computing sector as a whole

2. Houthis in the Red Sea: oil could go well beyond USD 100

The fact: Houthi rebels advanced on the Bab el-Mandeb strait, banned Saudi ships, and Saudi Arabia shut down its East-West pipeline after attacks — Brent has already surpassed USD 100/barrel again.

My verdict: I'd Buy energy protection now. XOM and CVX are the obvious plays. If you want something more tactical, USO (oil ETF) works as a short-term hedge. But be careful: this trade has an expiration date — geopolitics de-escalating quickly knocks down the premium.

Affected assets:

• XOM (Exxon Mobil) — directly benefits from high Brent
• CVX (Chevron) — same logic
• USO — oil futures ETF
• Energy sector as a whole, plus maritime shipping companies (negative impact)

3. Long-term rates bite again: the US 10-year nearly touches 5%

The fact: The yield on the US 10-year Treasury hit 5%, the highest since 2023, and the move is global — Japan, UK, Germany, and France are also seeing their long curves rise.

My verdict: I'd Reduce exposure to long-duration fixed income and pure growth stocks that depend on low rates. If you hold TLT (long bond ETF), it's time to rethink. The cost of capital is rising again and that compresses multiples.

Affected assets:

• TLT — long Treasury ETF (negative pressure)
• Unprofitable growth stocks (valuation pressure)
• Banks (JPM, BAC) — benefit from steeper curve
• Real estate (VNQ) — sector sensitive to long rates

4. AI concentrates 80% of all global equity capital

The fact: Global AI financing reached USD 226 billion through March, representing nearly 80% of all equity capital raised in the period.

My verdict: I'd Hold AI positions, but with discipline. Extreme concentration is a sign of euphoria — and euphoria precedes corrections. It's not time to sell everything, but it's time not to increase exposure without criteria. NVDA, MSFT, and GOOGL remain core.

Affected assets:

• NVDA — main beneficiary of the flow
• MSFT — infrastructure and AI investments
• GOOGL — Gemini and cloud
• Venture capital and private equity sector (concentrated flow)

5. Russia weaponizes American AI for drones and cyberattacks

The fact: AI companies are sounding alarms about Russia's use of American technology to manufacture killer drones, cyberattack bots, and disinformation at scale.

My verdict: I'd Hold positions in defense and cybersecurity. This type of news accelerates government spending on LMT, RTX, and CRWD. Regulatory risk for AI companies increases, but the flow of defense contracts compensates.

Affected assets:

• LMT (Lockheed Martin) — demand for defense systems
• RTX (Raytheon) — missiles and air defense
• CRWD (CrowdStrike) — cybersecurity
• Defense and cybersecurity sector as a whole

6. Server sales hit record: USD 166 billion in the quarter

The fact: The global server market reached a record USD 166.3 billion in the second quarter, driven by AI spending from enterprises, governments, and new cloud providers.

My verdict: I'd Buy exposure to the AI infrastructure chain. SMCI (Super Micro), DELL, and HPE are the most direct names. Demand isn't slowing down — it's accelerating.

Affected assets:

• SMCI (Super Micro Computer) — AI-optimized servers
• DELL — enterprise infrastructure
• HPE (Hewlett Packard Enterprise) — servers and hybrid cloud
• AMD and INTC — server chips