Today's top news on AI agents highlights a predicted major breakthrough expected in the first half of 2026, driven by surging computing power amid infrastructure challenges. Key Article Title: Major AI Breakthrough Expected This Year Morgan Stanley warns that a significant AI advancement could arrive soon, fueled by massive computing power increases, but warns of US power shortages reaching 9-18 gigawatts by 2028 due to AI data centers. Companies are adapting by repurposing Bitcoin mining sites and installing on-site natural gas turbines to meet energy demands. AI agents are already boosting developer productivity, with models like Claude Opus 4.6 handling complex tasks from minimal prompts when paired with test-driven development. Researchers also foresee recursive self-improving AI systems by early 2027, accelerating progress further. Sunday, March 15, 2026 Major AI Breakthrough Expected This Year Morgan Stanley warns a major AI breakthrough could arrive in the first half of 2026, driven by massive increases in computing power. The bank estimates the US could face a power shortage of 9-18 gigawatts by 2028 as AI data centers demand more electricity. Companies are already repurposing Bitcoin mining facilities and installing natural gas turbines directly at data centers to power AI operations. AI Agents Delivering Real Results Now Developers are achieving significant productivity gains with AI coding agents. Leading AI models like Claude Opus 4.6 can now complete complex tasks with just a two-sentence prompt, eliminating the need for humans to review every line of code. The key: use test-driven development when working with agents—tests are now "effectively free" to write. Self-Improving AI On The Horizon AI researchers predict recursive self-improving AI systems—where AI helps design better versions of itself—could emerge as early as the first half of 2027. This could accelerate progress dramatically. Watch For: D-Wave is presenting quantum computing advancements at the American Physical Society's Global Physics Summit this week, highlighting breakthroughs in error correction and optimization. The Bottom Line: AI capability is advancing faster than infrastructure and workforce planning can handle. Start preparing now.