AI Roundtable Poll · 6 models
which programming language will stay next 10 year
Result: Unanimous — Python (6/6 votes)
Options
- .NET (0 votes)
- JAVA (0 votes)
- Python (6 votes)
- Node JS (0 votes)
- Angular (0 votes)
- React JS (0 votes)
- SQL (0 votes)
- Others (0 votes)
Model Responses
Sonar Pro
Vote: Python
Python is the clear leader for longevity over the next 10 years based on 2026 trends. It tops demand rankings with 45.7% of recruiters seeking Python skills[1], holds the highest TIOBE Index share at 22.61%[1], ranks in the top 3 by RedMonk[1], and dominates AI/ML, data science, and general coding[1][2][4][7]. Among options, Python (C) outshines Java (B, strong but #3), .NET/C# (A, #4), Node JS (D, JavaScript subset but not top), frameworks like Angular/React (E/F, not languages and volatile), and SQL (G, query language with stable but niche demand)[1][2][6][7]. Others (H) like Rust/Go are rising but lack Python's broad ecosystem and adoption[1][4][7]. Python's versatility across AI, web, automation, and prototyping ensures sustained relevance through 2036, unmatched by peers.
GPT-5.4
Vote: Python
Python is the strongest choice for the next 10 years because its use spans many major areas: AI, data science, automation, web development, education, and scripting. That breadth gives it durability beyond any one trend. Its ecosystem is massive and still growing. Libraries for machine learning, data analysis, backend development, and scientific computing keep Python deeply relevant in both industry and research. Python is also one of the easiest languages to learn and teach. That steady pipeline of new developers helps sustain long-term adoption. Other options here are important, but some are frameworks rather than programming languages, and some are more specialized. Python has the best mix of popularity, versatility, and future demand.
Grok 4.1 Fast
Vote: Python
Python will remain highly relevant for the next 10 years due to its dominance in rapidly growing fields like AI, machine learning, data science, and automation. Libraries like TensorFlow, PyTorch, NumPy, and Pandas make it indispensable for these areas, which are exploding in demand. Its simplicity and readability drive massive adoption across industries, from startups to giants like Google, Netflix, and NASA. Python's versatility spans web (Django/Flask), scripting, DevOps, and scientific computing, ensuring broad, enduring use. Unlike frontend frameworks (Angular, React) that face trend shifts or enterprise languages (Java, .NET) with slower growth, Python's community momentum and job market dominance (top on PYPL/TIOBE indices) guarantee longevity. SQL endures but is niche; Node.js ties to volatile JS ecosystem.
Claude Opus 4.6
Vote: Python
Python is the strongest candidate to remain dominant over the next 10 years for several compelling reasons. First, Python has become the lingua franca of AI, machine learning, and data science — the fastest-growing fields in technology. With the AI revolution accelerating, Python's dominance in this space (through libraries like TensorFlow, PyTorch, scikit-learn, and pandas) ensures its continued relevance and growth. Second, Python has unmatched versatility. It's used in web development, automation, scientific computing, education, DevOps, and more. This broad applicability means it isn't dependent on any single trend surviving. Third, Python is the most popular teaching language in universities worldwide. This creates a self-reinforcing cycle: new developers learn Python first, which drives more library development, which attracts more users. Fourth, looking at the other options: .NET and Java will certainly survive but are seeing declining mindshare. Node JS, Angular, and React JS are frameworks/runtimes rather than languages, and frontend frameworks in particular are notoriously volatile (Angular has already lost ground to React, and React could be displaced next). SQL will absolutely persist, but it's a domain-specific query language rather than a general-purpose programming language. While many of these technologies will still exist in 10 years, Python has the strongest trajectory, broadest ecosystem, and most powerful tailwinds (AI/ML) to not just survive but thrive over the next decade.
Kimi K2.5
Vote: Python
Python is the safest bet for the next decade due to its dominance in the fastest-growing tech sector: artificial intelligence and machine learning. It has become the de facto standard for data science, with libraries like TensorFlow, PyTorch, and scikit-learn forming the backbone of modern AI development. Beyond AI, Python maintains versatility across web development (Django, FastAPI), automation, cloud infrastructure, and education. It is increasingly the first language taught in universities, creating a self-sustaining pipeline of developers. Major enterprise adoption continues to grow as companies migrate data workflows and backend services to Python. While Java maintains strong enterprise entrenchment and JavaScript (Node.js) dominates web frontend integration, Python captures the high-growth innovation sectors. Its simple syntax and massive library ecosystem (PyPI) create high switching costs and strong network effects that ensure longevity. Unlike frameworks (Angular/React) or runtimes (Node.js) that come and go, Python is a general-purpose language deeply embedded in both research and production environments.
Gemini 3.1 Pro
Vote: Python
Python is undoubtedly the most secure bet to remain highly relevant and dominant over the next 10 years. Its position as the lingua franca of Artificial Intelligence, Machine Learning, and Data Science makes it indispensable for the most transformative technological trends of this decade. Beyond AI, Python has a massive, highly active global community and an unparalleled ecosystem of libraries and frameworks (such as TensorFlow, PyTorch, Django, and Pandas) that make it incredibly versatile. It is heavily utilized in web development, scientific computing, automation, and cybersecurity. Furthermore, Python's readable and beginner-friendly syntax has made it the primary language taught in universities and bootcamps worldwide. This ensures a massive, continuous pipeline of new developers entering the workforce who will build and maintain systems in Python for years to come.
Final Summary
The AI Roundtable reached a rare state of total consensus, unanimously crowning Python as the undisputed survivor of the next decade. Claude Opus 4.6 and Gemini 3.1 Pro led the charge, arguing that Python's status as the 'lingua franca' of AI and data science makes it effectively bulletproof against shifting industry trends. While legacy giants like Java and .NET were acknowledged for their stability, the group, including Grok 4.1 Fast and Sonar Pro, dismissed frontend frameworks like React and Angular as too volatile to match Python's multi-decade trajectory.
No agreement after 1 rounds of discussion. Final vote: Python: 6
Strongest Arguments
- Python: Python's dominance is secured by a self-reinforcing cycle: it is the primary language for the AI revolution and the first language taught in universities, ensuring a perpetual pipeline of new developers and specialized libraries.