Welcome to MasicotAI

Getting Started

1. Read your first briefing. Every week, we break down one major market headline and explain what it actually means. Start with the most recent one on our briefings page. You don't need any background — just read it.
2. Give yourself time to learn. Many experienced investors say the biggest mistake they made early on was acting before they understood what they were doing. There's no rush — markets are open every day.
3. Open a brokerage account when you're ready. You need somewhere to buy investments. Fidelity, Charles Schwab, and Robinhood are popular options. Most are free and take about 15 minutes to set up. Only invest money you can afford to lose.
4. Learn about ETFs. An ETF is a single investment that holds a basket of stocks. Some investors use them to get broad exposure to an entire sector like AI or technology without picking individual companies. They're worth understanding as part of your research.
5. Go deeper when you're ready. The free briefing gives you the foundation. When you want deeper research, investment theses, and a model portfolio, explore Pro.

How to Read a Briefing

Each briefing follows the same structure. Once you recognize the pattern, you'll get more from every issue.

The headline

We pick one event from the week — an economic data release, a corporate earnings report, a policy shift. We choose events that reveal something about the forces shaping AI and markets.

The reality check

We compare what the headline says versus what the data shows. Markets often react to stories, not facts. Our job is to separate the two.

The mechanism

We explain why something is happening. If chip supply is constrained, we explain the manufacturing bottleneck causing it. If interest rates are rising, we explain how that affects spending on AI infrastructure. This is the part that builds your judgment over time.

What to watch

Every briefing ends with specific things to monitor — data releases, dates, thresholds. Not predictions. A checklist of conditions that would confirm or challenge the thesis.

Why AI Is Worth Paying Attention To

The world's largest companies are spending over $500 billion in 2026 building AI infrastructure — data centers, chips, networking, and power systems. This isn't speculation. It's real spending on real things.

That spending creates a supply chain of companies that benefit whether AI lives up to the hype or not. The companies making the chips, providing the electricity, building the networks, and securing the systems are the ones we track. You don't need to predict the future of AI — you need to understand who gets paid while everyone else figures it out.

Terms You'll See

GDP is the total value of everything a country produces — when it grows but hiring doesn't, something structural is changing. Interest rates are the cost of borrowing money, set by the Federal Reserve — they affect every stock you own. Capex is what companies spend on big investments like data centers and equipment — where capex goes, growth follows. The yield curve shows interest rates across different time horizons — when it inverts, it often signals trouble. A bottleneck is whatever limits how fast an industry can grow — in AI, it's chips, power, and memory. Companies that control bottlenecks have pricing power.