Perhaps quietly, generative artificial intelligence is going to show return on investment in software development. Some of that gain occurs when coders can use GenAI to check their code.
Perhaps the greatest upside comes when code development can be automated. Most estimates suggest time savings between 20 percent to 50 percent in code creation, with related cost savings between 10 percent to 25 percent in labor costs.
Impact Area | Estimated Time Savings | Estimated Cost Savings |
Code Generation | 20-50% reduced coding time | 10-25% reduced labor costs |
Code Review | 30-50% reduced review time | 15-30% reduced quality assurance costs |
Bug Detection | 20-30% reduced debugging time | 10-20% reduced maintenance costs |
Documentation | 40-60% reduced documentation time | 20-30% reduced knowledge transfer costs |
Learning Curve | 20-30% reduced onboarding time | 10-20% reduced training costs |
Separately, GenAI is a potential disruptor of existing software firms, for the same reasons GenAI saves time and money for code development.
Also, as GenAI is a potential disruptor of existing business models in a range of content-based industries including search, question-and-answer sites, news and information, video and audio entertainment, it might also be the foundation for disruptive attacks on legacy software markets.
Some believe Adobe Acrobat could be disrupted by GenAI content creation as an alternative, for example. GenAI also is seen as a threat to search, question-and-answer sites and parts of other content-creating businesses ranging from video and audio entertainment to news and information sources.
Study | Date | Publisher | Key Conclusions |
The Economic Impacts of Generative AI on Software Development | 2023 | McKinsey & Company | Potential 2540% reduction in software development costs 2030% increase in developer productivity |
Generative AI in Software Engineering: A Productivity Analysis | 2022 | IEEE | Up to 30% reduction in time spent on coding tasks 1525% overall cost savings for software projects |
The ROI of AIAssisted Coding | 2023 | Forrester Research | 2035% decrease in bug fixing and maintenance costs $515 million annual savings for large enterprises |
Measuring the Impact of GitHub Copilot on Developer Productivity | 2022 | GitHub | 55% faster code completion 3040% reduction in time spent on repetitive coding tasks |
AI and the Future of Software Development | 2023 | Gartner | 40% of application development will use AIassisted coding by 2025 1530% potential reduction in development costs |
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