Redefining the future of software engineering
AI Summary
A report from MIT Technology Review Insights, based on a survey of 300 engineering and technology executives, identifies agentic AI as a third major shift in software engineering, following open source and DevOps/agile methodologies. Currently, 51% of software teams are using agentic AI in some capacity, while 45% have plans to adopt it within the next 12 months. While agentic AI is a top investment priority for half of organizations today, that figure is expected to rise to over 80% within two years. Respondents anticipate a 37% average increase in software delivery speed from pilot to production over the next two years, with 98% expecting some degree of acceleration. In terms of full lifecycle management, 41% of organizations aim to have AI agents managing their product and software development lifecycles end-to-end within 18 months, rising to 72% within two years. However, near-term expectations remain measured, with 52% expecting only moderate improvements and 14% expecting only slight gains, while key barriers include compute costs, integration with existing systems, and organizational change management challenges.
Why it matters
The survey data signals a significant and accelerating capital allocation shift toward agentic AI tooling within enterprise software development, with implications for vendors providing AI infrastructure, development platforms, and cloud compute resources. The identified challenges around compute costs and systems integration point to sustained demand across the AI value chain, including semiconductor manufacturers, cloud providers, and enterprise software integration specialists. As agentic AI adoption scales toward full software lifecycle management, companies that develop or embed these capabilities — as well as those whose legacy tooling may be displaced — face meaningful competitive and revenue implications over the near-to-medium term.
Scoring rationale
The article covers enterprise adoption of agentic AI in software engineering with market investment data, but focuses on a general industry trend report rather than specific company or market-moving financial news.
This summary was generated by AI from the original article published by MIT Technology Review AI. AIMarketWire does not provide trading advice. Always refer to the original source for complete reporting.