Morgan Stanley Warns of Imminent 'AI Leap'
Morgan Stanley predicts an "AI leap" in 2026, fueled by scaling laws and compute buildout at AI labs. The bank anticipates a surge in AI-related jobs, particularly in engineering, data science, and quant research. This comes as industry leaders warn of potential workforce displacement due to AI automation, but highlights demand for hybrid skills.
Morgan Stanley's forecast hinges on Large Language Models improving faster than anticipated, potentially disrupting markets by mid-2026. Experts like Sam Altman are now predicting an even quicker "takeoff" in AI capabilities. The bank advises investors to focus on AI infrastructure (semiconductors, data centers) and assets AI can't easily replicate (energy, metals). The firm's analysis of its annual Technology, Media & Telecom Conference revealed "diverging trends" in the job market. AI is creating demand for skilled trades to build AI infrastructure, roles focused on AI training, and positions overseeing AI systems. Simultaneously, some companies are choosing automation over augmenting workers, which could increase job displacement. Morgan Stanley predicts that the U.S. will widen its lead over China in the AI race, potentially leading to pressure for technology sharing. They also foresee rising energy costs sparking a backlash against data center expansion and driving support for off-grid power solutions. Major AI players may also seek greater control over energy assets to secure reliable, low-cost power.
