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U.S. engineering leaders plan significant AI investment, prioritizing sustainability, quality, and reliable, governed systems.
A new MIT Technology Review Insights report reveals that 90% of U.S. product engineering leaders plan to increase AI investment over the next one to two years, with most opting for modest growth—45% aiming for a 1–25% rise and nearly a third targeting 26–50%.
Sustainability and product quality are top priorities, surpassing cost savings.
Leaders favor predictable AI applications like predictive analytics and simulation, emphasizing reliability, governance, and human oversight.
Organizations are building layered AI systems with strategic oversight, relying on third-party partnerships and embedding trust early to ensure safe, auditable outcomes in physical design and manufacturing.
Los líderes de ingeniería de EE. UU. planean inversiones significativas en IA, priorizando la sostenibilidad, la calidad y los sistemas confiables y gobernados.