Mark Rosenblatt

Amazon's internal metrics said customers waited under 60 seconds for customer service. Jeff Bezos picked up the phone in a meeting and waited more than 10 minutes. The head of customer service had been defending the number. Bezos said "Ok, let's call." He dialed Amazon's 1-800 line on speaker. The room sat there for over ten minutes before a rep answered. The metric didn't survive the meeting. Bezos has a saying: when the data and the anecdotes disagree, the anecdotes are usually right. Metrics don't measure reality. They measure what you designed them to measure. Customer service dashboards commonly filter out abandoned calls, cap hold time at the IVR timeout, and start the clock after the menu tree completes. Every one of those choices pushes the average down. The customers hanging up at minute 9 are not in the denominator. The 60-second number was technically accurate and practically wrong. That call broke through a defended metric in a way no spreadsheet could have. The head of CS had dashboards and a team whose job was to report that number going down quarter over quarter. Bezos had 10 minutes of hold music and a room full of people watching. This is the executive test almost nobody runs. Call your own 1-800 line. Try to buy your own product in incognito. Every senior leader can do it in under 15 minutes. Almost none do, because the dashboards feel like the truth and the dashboards say things are fine. The measurement got redesigned. Wait times actually fell. When your data says you're winning and your customers say you're losing, the customers are right. The data was built by people whose job depends on it going down.

Putin confirms: “Chinese drones can't fight in a war!” On the Russia–Ukraine battlefield, the momentum is beginning to shift. Ukraine is no longer just defending. It is starting to push back. And a big part of that shift comes down to one factor: drones. But numbers alone don’t explain it. Russia also deploys drones at scale. So why does Ukraine appear to have the edge? The answer lies in what powers those systems. Some of Ukraine’s newer drones, such as the so-called “Hornet” or “Martian” models, are equipped with advanced chips from NVIDIA, manufactured by TSMC. These aren’t just remotely controlled machines. Increasingly, they operate with autonomous AI. That changes everything. These drones can identify, track, and strike targets with minimal human input. What once belonged to science fiction is now part of real combat. And this is where Taiwan enters the picture. It’s not just Ukraine relying on Taiwanese technology. Russia, despite sanctions, is also trying to access similar components, often through indirect channels. That alone tells you how critical these technologies have become. At its core, a modern drone is a system of four essential elements. A “brain,” the processor that runs everything. “Eyes,” powered by AI for visual and thermal recognition. Communication systems, enabling coordination and data transfer. And flight control systems, ensuring stability and execution. Across all four layers, Taiwanese companies play a central role. When analysts dissect captured Russian drones and missiles, they frequently find key electronic components, especially communication modules and advanced semiconductors, linked back to Taiwan’s supply chain. Materials like silicon carbide and gallium nitride further enhance performance, particularly in high-stress environments. The battlefield is now revealing what works. Ukraine’s use of high-performance, AI-enabled systems has proven effective under real combat conditions. By contrast, many mass-produced commercial drones, including some widely used Chinese models, struggle in warfare environments. They are more vulnerable to electronic interference and often lack the reliability and autonomy required in contested conditions. This reflects a deeper industrial difference. China excels at scale and cost efficiency. Taiwan specializes in precision, customization, and high-performance engineering. One prioritizes volume. The other prioritizes capability. In modern warfare, that distinction is becoming decisive. Even within China, there are growing discussions about the limitations of certain military platforms, including concerns over design efficiency and operational effectiveness in newer systems like the Fujian aircraft carrier. These debates hint at a broader issue: advanced hardware alone is not enough if integration and execution fall short. Ultimately, war is not decided by how systems look on paper. It is decided by whether they function under pressure.

This is the moment NVIDIA should be seriously worried. In the next couple of weeks DeepSeek V4 will be launched. It’s a direct attack on the entire AI stack that American companies have spent years locking down. Full “de-NVIDIA-ization”, a complete shift away from CUDA into Huawei’s CANN ecosystem, running on Huawei Ascend chips. That means one thing, breaking the dependency that made NVIDIA untouchable. 35x faster inference vs early versions. Nearly 3x the performance of NVIDIA’s H20 on a single card. 40% less energy consumption. Over 95% CUDA compatibility with migration times collapsing from months to hours. Even Jensen Huang has already admitted it. If this works at scale, it’s a “terrifying outcome” for US companies. Because here’s the real problem, this isn’t happening in isolation. Chinese tech giants like Alibaba, ByteDance, and Tencent are already ordering hundreds of thousands of Ascend chips. Market share is shifting fast, domestic chips now at 41%, NVIDIA slipping to 55% in China’s AI server market. Additionally DeepSeek V4 is reportedly offering API costs at a fraction of US competitors. $300 for massive workloads that would cost $2,500+ on OpenAI models, or even $5,000 on Anthropic. So this isn’t just about one model. It’s about China building a fully independent AI stack, chips, frameworks, models, and applications. Completely outside of US control. NVIDIA doesn’t just lose sales. It loses its grip on the global AI standard.

Brazil just signed 15 deals with Spain in a single afternoon. The agreements cover critical minerals, satellites, and AI infrastructure built to last decades. Spain is one of the top three foreign investors in Brazil and still needed this more than Lula did. Brazil holds the world's second largest rare earth reserves on the planet. Every electric vehicle, missile, and smartphone runs on materials Brazil sits on top of. The U.S., EU, India, and China are all circling the same country right now. Brazil's new rule: you can access our minerals, but you process them inside Brazil or the deal dies. That one condition is how a raw materials exporter becomes an industrial power. Brazil has not signed with Washington yet and is using every other deal as leverage before that moment comes. The country the world called "the country of the future" for 85 years just started collecting on that debt.

In a broad spectrum way, the present Spanish government is a threat to her nation, Europe, and NATO.