Through 2027, generative AI (GenAI) will spawn new roles in software engineering and operations, requiring 80% of the engineering workforce to upskill, says Gartner.
“Bold claims on the ability of AI have led to speculation that AI could reduce demand for human engineers or even supplant them entirely,” says Philip Walsh, senior principal analyst at Gartner. “While AI will transform the future role of software engineers, human expertise and creativity will always be essential to delivering complex, innovative software.”
Gartner analysts expect AI will impact the software engineering role in three ways:
In the short-term, AI will operate within boundaries
- AI tools will generate modest productivity increases by augmenting existing developer work patterns and tasks. The productivity benefits of AI will be most significant for senior developers in organisations with mature engineering practices.
In the medium-term, the emergence of AI agents will push boundaries
- AI agents will transform developer work patterns by enabling developers to fully automate and offload more tasks. This will mark the emergence of AI-native software engineering when most code will be AI-generated rather than human-authored. “In the AI-native era, software engineers will adopt an ‘AI-first’ mindset where they primarily focus on steering AI agents toward the most relevant context and constraints for a given task,” says Walsh. This will make natural-language prompt engineering and retrieval-augmented generation (RAG) skills essential for software engineers.
In the long-term, advances in AI will break boundaries and will mark the rise of AI engineering
- While AI will make engineering more efficient, organisations will need even more skilled software engineers to meet the rapidly increasing demand for AI-empowered software. “Building AI-empowered software will demand a new breed of software professional – the AI engineer,” says Walsh. “The AI engineer possesses a unique combination of skills in software engineering, data science, and AI/machine learning (ML) skills that are sought after.”
According to a Gartner survey conducted in the fourth quarter of 2023 among 300 US and UK organisations, 56% of software engineering leaders rated AI/machine learning (ML) engineer as the most in-demand role for 2024 – and they rated applying AI/ML to applications as the biggest skills gap.
To support AI engineers, organisations will need to invest in AI developer platforms. AI developer platforms will help organisations build AI capabilities more efficiently and integrate AI into enterprise solutions at scale.
“This investment will require organisations to upskill data engineering and platform engineering teams to adopt tools and processes that drive continuous integration and development for AI artifacts,” says Walsh.