India is second in Claude.ai usage - and developers are driving it
India now ranks second globally in usage of Anthropic's Claude.ai, with activity dominated by software and technical work. If you write code, this tracks with what you're seeing: CSS/HTML tweaks, UI cleanup, and fast debugging are becoming daily habits.
There's a clear signal here for engineering teams and solo devs. Claude is being used as a practical tool to move faster on frontend polish, web app builds, and automation - not just experimentation.
Key stats from Anthropic's usage data
- Five of the top 10 Indian use cases are in software development.
- 45.2% of Indian use cases fall under computer and mathematical work.
- Indian users are 2x overrepresented in CSS, HTML, and UI styling tasks.
- They're 1.7x overrepresented in building and debugging web applications.
- They're 1.5x overrepresented in developing AI systems (chatbots) and workflow automation.
- India's Anthropic AI Usage Index: 0.22 - meaning usage is high in absolute terms but under-indexed per capita relative to its working-age population.
- Global leaders in Claude use: US, India, Japan, UK, and South Korea.
Why it matters
Claude usage isn't vague "AI exploration." It's targeted help on code, UI, debugging, and automation - the pressure points that slow sprints. Teams using AI for these tasks are shipping cleaner UI, catching regressions earlier, and reducing context-switching.
The takeaway: keep AI close to the work. The tighter it's integrated into your day-to-day coding loop, the more value you'll see.
What developers are doing with Claude right now
- UI polish: translating design intent into CSS, fixing layout quirks, and proposing responsive variants.
- Web app building and debugging: scaffolding components, explaining stack traces, and suggesting minimal fixes.
- Automation: drafting chatbot intents, writing small worker scripts, and outlining workflow logic.
- Career and learning: targeted study plans for new frameworks, quick refreshers on protocols, and interview prep.
Practical ways to plug Claude into your workflow today
- CSS/UI fast fixes: paste a component's HTML/CSS and ask for a compact, accessible version with comments.
- Bug triage: provide the failing test, stack trace, and relevant files; ask for probable cause and a minimal patch.
- Spec-to-skeleton: feed a short feature brief and request a typed interface, data model, and starter component.
- Test expansion: generate table-driven test cases from edge-case descriptions to boost coverage without the bloat.
- Code review assist: ask for risky diffs, hidden complexity, and naming inconsistencies - then you make the final call.
Skills risk and career moves
The report flags a split: some jobs gain leverage as AI handles time-heavy tasks; others get simplified. IT specialists and data entry roles are at risk of deskilling; the safe move is to get closer to system design, integration, and automation architecture.
- Move up-stack: own interfaces between services, contracts, and reliability.
- Own automation: build internal agents, CI hooks, and workflow tools that make teams faster.
- Keep a human edge: domain knowledge, security judgment, and production ownership don't get automated away.
Where to go next
If you're evaluating Claude for your team, start with small, high-friction tasks and measure time saved. Lock in prompts that consistently work, make them templates, and keep humans in the loop for reviews and releases.
For a quick overview of Claude's capabilities, see Anthropic's site: Claude by Anthropic.
Want structured upskilling around Claude and coding with AI? Check these resources:
Bottom line
India's developer community is using Claude where it counts: frontend polish, web app debugging, and automation. Treat it like a teammate for tight, repetitive tasks - and spend your energy on design, architecture, and shipping.
Your membership also unlocks:
