Peter Smith
⬤ AI's no longer just a fancy experiment sitting in the corner of tech departments. McKinsey's 2025 report shows it's spreading like wildfire, with investments hitting $124.3 billion and AI job postings jumping 35% in just one year. What started as small-scale tests to handle specific tasks has evolved into something much bigger—AI's becoming part of how businesses actually run day-to-day.
⬤ Here's where things get interesting: companies aren't building separate AI systems for every team anymore. They're rolling out the same AI infrastructure across multiple departments, which is way more efficient. By mid-2025, 88% of organizations will be using AI in at least one area—that's nearly double the 50% mark from 2021. Even more impressive? The number of companies using AI in three or more functions has tripled, proving it's not just hype anymore.
⬤ But it's not all smooth sailing. While everyone's jumping on the AI bandwagon, actually making it work at scale is tough. You can't just plug in a fancy model and call it a day—you need solid monitoring systems, consistent performance checks, and seamless integration with existing workflows. Only 1% of business leaders say they've nailed the full implementation, which shows there's still a big gap between adoption and mastery.
⬤ The robotics angle is particularly cool. Those multimodal AI models that can handle both visual and language inputs are changing the game for general-purpose robots. Instead of coding rigid instructions for every single task, these newer systems can adapt and handle different situations—marking a real breakthrough in how versatile robots can be.
Peter Smith
