Intel CRASHES -17%: Is This the End or a Buy Opportunity? скачать в хорошем качестве

Intel CRASHES -17%: Is This the End or a Buy Opportunity?

Intel just crashed 17% in a single day—right after beating earnings. Here's what actually happened and why Wall Street panicked. On January 23rd, 2026, Intel stock fell from $54 to $45 despite posting better-than-expected Q4 numbers. The company beat revenue forecasts, crushed earnings estimates, and saw their AI division grow 9% year-over-year. So why did investors bail? The answer isn't what you'd expect. Intel didn't lose customers. They didn't get crushed by competitors. They literally can't make enough chips to meet demand. CEO Lip-Bu Tan admitted their manufacturing yields aren't up to standard, and they've run out of inventory after selling everything they had in Q4. Now they're guiding to zero profit in Q1 2026. Zero. After rallying 150% in the past year, that guidance hit investors like a truck. In this video, we break down the entire situation—the earnings beat that didn't matter, the supply crisis that caused the crash, what the bear case says about Intel's execution problems, and what the bull case says about this being a temporary bottleneck. We look at the government's $8.9 billion investment that's now underwater, the technical factors that made the drop worse, and what needs to happen in the next few quarters for Intel to recover. This isn't just about one stock. It's about what happens when a company has all the demand in the world but can't deliver the product. It's about the difference between potential and execution. And it's about whether you see this as the end of Intel's turnaround or the buying opportunity you've been waiting for. The next earnings report in April will tell us everything we need to know. ------------- ⚠️ DISCLAIMER This video is for educational and informational purposes only. Nothing here is financial, legal, or investment advice. All investing involves risk, including loss of principal. Always consult a licensed financial professional before making decisions. Historical patterns do not guarantee future results.