1. Physical AI & Robotics: Tesla
Tesla is the benchmark for "Physical AI"—AI that interacts with the real world.
Full Self-Driving (FSD) Unsupervised: By late 2025, Tesla transitioned from "supervised" to "unsupervised" FSD in select markets. Their neural networks process millions of frames of video data from their global fleet to make real-time driving decisions without LIDAR.
Optimus Humanoid Robot: Now in early mass production, Optimus uses the same "AI brain" (vision and planning) as the cars. It is being deployed in Tesla's own factories to handle repetitive, dangerous, or boring tasks, proving the ROI of general-purpose robotics.
AI Hardware (Dojo & AI5): To maintain their lead, Tesla designs their own silicon. The AI5 chip (and the upcoming AI6) powers the inference inside the vehicle, making it a "computer on wheels."
2. Logistics & Supply Chain: Amazon
Amazon has moved AI from the digital screen to the warehouse floor and the delivery route.
Warehouse Robotics (Sequoia & Proteus): Amazon now operates over 1 million robots. Systems like Sequoia have cut order processing time by 25% and improved inventory storage speed beyond human capability.
Predictive Logistics: Using "Logistics-as-a-Service," Amazon's AI predicts localized demand to move inventory into regional clusters before customers order, enabling same-day delivery for 7 billion+ packages annually.
Computer Vision Picking: Their AI vision systems have reached 99.8% picking accuracy, virtually eliminating returns caused by "wrong item sent" errors.
3. Data & Defense: Palantir
Palantir’s Artificial Intelligence Platform (AIP) has become the operating system for modern warfare and massive enterprise data.
AIP for Enterprise: AIP allows companies (like hospitals or manufacturers) to connect their private data to Large Language Models (LLMs) safely. It creates an "ontology"—a digital twin of the entire business—so managers can ask, "How will a 20% price hike affect my supply chain?" and get an instant, data-backed simulation.
Defense & Intelligence: In 2025, Palantir secured massive contracts (including a $10B deal with the US Army) for AI-driven battlefield intelligence, drone analytics, and mission planning.
4. Creative Production: Adobe
Adobe has successfully integrated AI into professional workflows without alienating the creative community.
Adobe Firefly: Unlike "scraped" AI models, Firefly is trained on Adobe Stock images, making it commercially safe. In 2025, "Firefly Boards" allows teams to collaborate on a shared visual canvas where AI generates and refines ideas in real-time.
Enterprise Customization: Major brands (like Nike or Coca-Cola) use "Custom Models" to train Firefly on their own logos and brand styles, ensuring that every AI-generated image is "on-brand" instantly.
5. Finance & Banking: JPMorgan Chase
JPMC is the leader in "high-stakes AI," focusing on fraud, risk, and efficiency.
LLM Suite: This is the bank’s proprietary "internal ChatGPT" used by hundreds of thousands of employees for document analysis, research, and coding.
Fraud Detection: AI agents at JPMC now process "billions of data points" to identify credit card fraud in milliseconds, significantly reducing "false positives" that frustrate customers.
450+ Proofs of Concept: The bank has publicly committed to nearly 1,000 AI use cases by 2026, ranging from personalized wealth management advice to automated regulatory compliance.

No comments:
Post a Comment