AI Chatbots & Prompt-Based Tools
Usage patterns and productivity impact of AI assistants and coding tools.
AI Chatbot Usage for Productivity
96% of people use AI chatbots,one of the fastest tech adoptions ever. They've become essential tools for problem-solving, research, and basically everything.
Frequency of AI Chatbot Usage
53% use chatbots multiple times a day, and another 32% use them daily. They're not a novelty anymore,they're just part of how people work, like search engines became essential.
Duration of AI Chatbot Usage
32% have been using them for 1-2 years, and 28% are veterans with 2+ years,early ChatGPT adopters. 21% are new (3-6 months), so people are still jumping in as the tools get better.
Chat Applications Used
ChatGPT is still on top at 84%, but lots of people use multiple tools,66% use Gemini, 42% use Claude, and 38% use Perplexity. People pick different tools for different tasks.
Context of AI Tool Usage
47% use AI equally for work and personal stuff, while 44% mostly use it for work. These tools are flexible enough to handle both.
AI Chatbot Impact on Productivity
50% say productivity increased a lot, and 39% saw slight improvements,89% positive impact overall. The few who didn't see gains might be using AI for things it's not great at, or still figuring out how to use it effectively.
AI Chatbot Interaction Style
52% do iterative back-and-forth conversations,treating AI like a partner you need to refine ideas with. Long sessions and structured prompts show people are getting good at using these tools effectively.
Comfort Level with AI for Work (1-5 Scale)
55% are super comfortable (5/5), and most others are at 4 or 3. People trust AI for work stuff now, which lets them use it for more ambitious tasks.
AI-Powered Coding Tools
GitHub Copilot is #1 at 59%,great IDE integration helps. But 50% still use ChatGPT while coding, and Claude (42%) is popular for code analysis. Most developers use multiple tools depending on what they need.
Primary Location for AI Coding Assistance
40% still use external chat tools,browser-based AI is flexible. IDE chat (25%) and inline suggestions (23%) are growing though. The market is still figuring out the best way to integrate AI into coding.
Coding Tasks Using AI Assistance
AI is great for the annoying stuff,debugging (73%), boilerplate (69%), and explaining code (67%). Documentation and refactoring are also popular. It helps across the whole dev lifecycle, not just writing code.
AI Impact on Coding Productivity
53% say coding productivity increased a lot, and 33% saw slight improvements,86% positive impact. Coding is a great use case for AI, probably because code is structured and you can tell when it works.
If you had to keep only ONE of these tools, which would it be?
58 responses (1 missing)
For which tasks do you primarily use AI chatbots? (Select all that apply)
75 responses
Has using AI chatbots changed how you work or think?
49 responses
Does your organization have policies regarding AI chatbot usage?
74 responses
Has AI changed how you learn, write, or reason about code?
42 responses
How much do you trust AI-generated code?
69 responses
Which best describes how you use AI tools when coding?
69 responses
How dependent is your current coding workflow on AI tools?
69 responses
What concerns or limitations do you have regarding AI-assisted coding? (Select all that apply)
69 responses
Which AI coding tools or capabilities do you plan to adopt or expand in the next 12 months?
26 responses