Productivity shifts, major drivers, and the changing role of software professionals
Ville Varis
AIsoftware developmentproductivityforecast
AI is reshaping software development faster than any previous tooling shift. The change is not limited to coding speed: it affects architecture, testing, operations, and the division of work between people and machines.
1. Expected productivity curve
Period
Estimated multiplier
What changes
2024
1.0–1.2x
AI assists with local tasks, documentation, and code comprehension.
2025
1.3–1.6x
Developers increasingly delegate modules, tests, and refactoring work to AI.
2026
2–4x
Early software agents begin completing end-to-end tasks under human direction.
2027–2028
4–10x
Architecture, integrations, and CI/CD become more automated.
2029–2031
10–20x
Autonomous development reaches a practical level for selected domains.
2032–2035
20–30x+
Humans focus on goals and constraints while AI handles most implementation.
2. Main drivers behind the shift
Driver
Description
Impact
Generative code
AI writes, rewrites, and documents code quickly.
+20–300 %
Agent-based workflows
AI handles broader task chains instead of isolated suggestions.
+3–10x
AI-friendly architecture
Cleaner monorepos and coherent systems improve agent effectiveness.
+2–5x
Autonomous quality work
Regression analysis, monitoring, and part of maintenance become automated.
+3–8x
Business and IT convergence
More domain teams can produce internal tooling with AI support.
+2–4x
3. Role changes for software professionals
Period
Human role trend
2024
Roles remain familiar, but AI-assisted work becomes normal.
2025
Juniors ramp up faster, while mid-level work starts to polarize.
2026
Developers move toward supervision, orchestration, and review.
2027–2028
Architects validate and steer more than they manually specify every detail.
2029–2031
Human value centers on goals, risk management, and quality boundaries.
2032–2035
Traditional coding shrinks; orchestration, governance, and systems responsibility grow.
4. The short version
Period
Human focus
AI focus
2024–2025
Assisted delivery
Code generation
2026–2028
Direction and architecture
Implementation and testing
2029–2031
Scope, risk, accountability
Autonomous delivery in bounded contexts
2032–2035
Outcome design
Broad software production chain
The software engineer does not disappear, but the center of gravity moves from manual coding toward system design, quality judgment, and AI orchestration.
