Nine in ten product engineering leaders plan to increase AI investment–but most favor modest growth of 1-25%, reveals new MIT Technology Review Insights report USA – English India – English
Publish Date: 2026-03-16 09:00:00
Source Domain: www.prnewswire.com
- Sustainability and product quality are prioritized over cost reduction as the top outcomes for AI in physical systems engineering.
- Engineering leaders are scaling AI adoption cautiously, focusing on verification, measurable outcomes, and first-time-right performance.
- Predictive analytics and AI-driven simulations are leading near-term priorities for AI-enhanced decision-making.
- Most product engineering leaders plan modest increases in AI investment, favoring optimization and scalable proof points over major transformations.
- Sustainability and product quality are recognized as top measurable outcomes for AI in engineering, above competitive metrics and cost-reduction initiatives.
