Only 4.4% say AI handles complex tasks very well

Workflow & automation

Developer ratings of how well AI coding tools handle complex tasks (%)

Developer ratings of how well AI coding tools handle complex tasks (%)
Rating	Share of respondents (%)
Very well at handling complex tasks	4.4%
Good, but not great at handling complex tasks	25.2%
Neither good or bad at handling complex tasks	14.1%
Bad at handling complex tasks	22%
Very poor at handling complex tasks	17.6%
I don't use AI tools for complex tasks / I don't know	16.8%

Reader Note:: Figure base is 33,230 respondents. The chart asks, "How well do the AI tools you use in your development workflow handle complex tasks?" Ratings are self-reported and cover respondents' own use of AI tools in development workflows. The report does not say when the survey ran.
Evidence:: Self-reported behaviour
Vendor interest:: Moderate — This comes from a company with a commercial interest in this market, so it is not a neutral source.
Sample:: Survey respondents on Stack Overflow; most charts show roughly 26,000 to 34,000 responses, with smaller subsets for AI agent users and specific follow-up questions.

Good for

A rough sense of size and direction, and deciding what to look at first.

Exact numbers, or saying that one thing caused another.
This comes from a company with a commercial interest in this market, so it is not a neutral source.
The source never says when this data was collected. It could be considerably older than the publication date suggests.

10%

of organisations are realising significant ROI from agentic AI in Deloitte’s 2025 survey of 1,854 EMEA executives

24–56%

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Our Substack turns the data behind these cards into full breakdowns: what changed, why, and what to do about it.

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42.3%

of wrong AI answers were overridden with incentives and item-level feedback in Study 3 versus 20.0% in the control group

14%

average increase in sales productivity reported from using AI in marketing by US companies (2026 survey)

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