Skip to content

Risks & Pain Points

AI Risks
✨

The AI industry has never been shy about discussing the technology's potential for disaster, sadly stopping just short of actually, you know, slowing down for a minute.

Said risks include job displacement as a top concern, but also AI's potential for military use as seen in recent conflicts, and of course the worrying environmental impact of AI in a world already threatened by climate change.

It's also interesting to note that women and non-men respondents overall were much more likely to worry about AI's environmental impact (58% vs 37%).

Many commenters complained about being limited to selecting only three items. As one person put it: “It's kind of shocking how big this list of negative social impacts are when you put them all in one place.”

Which of these general AI risks and issues are you most concerned about?
Multiple
Limited
3
0%
20%
40%
60%
80%
100%
01
Job displacement
02
Military use of AI
03
Environmental impact
04
AI slop takeover
05
Negative cognitive impacts
06
Security issues
07
AI overuse
08
Rising AI costs
09
Copyright and ethics issues
10
Open-source disruption
0%
20%
40%
60%
80%
100%
-17%
Percentage decrease in respondents who cited prompt comprehension as a pain point.

Pain Points

When it comes to issues with actually using AI, Hallucinations lead the pack.

What makes this issue uniquely frustrating is not just having to deal with incorrect results, but incorrect results confidently presented as correct, with the model having no awareness of its own potential for error.

What are your top pain points when it comes to actually using AI tools?
Multiple
Limited
3
0%
20%
40%
60%
80%
100%
01
Hallucination & inaccuracies
+8
02
Code quality
-1
03
Lack of context
-1
04
Financial costs
+3
05
Privacy concerns
-1
06
Prompt comprehension
-3
07
Copyright concerns
-2
08
Integration difficulties
+1
09
Slow response time
10
Ethical concerns
11
Lack of prompt understanding
12
Poor generated code quality
13
Other Answers
0%
20%
40%
60%
80%
100%

Missing Features

Confirming the previous question's results, Truthfulness is the leading missing feature. In an age where we're growing increasingly skeptical of our fellow humans' ability to distinguish fact from fiction, it'd be nice if our AI at least wouldn't gaslight us as well.
What capabilities do you feel are currently missing from AI tools?
Multiple
Limited
3
0%
20%
40%
60%
80%
100%
01
Truthfulness
02
Long-term memory
03
Up-to-date knowledge
04
Accountability
05
Awareness of runtime behavior
06
High-level planning
07
Larger context window
08
Good UI/UX
09
Larger codebases support
10
Better tool integration
0%
20%
40%
60%
80%
100%
Overall happiness with AI hasn't changed much since last year, another sign that developers might still be in a “wait and see” holding pattern.
How happy are you with the current general state of AI tools for web development?
1
2
3
4
5
2025
2026
1
2
3
4
5
Average

Recommended Resources

MCP: Learn the Universal Language for AI Integration
Brian Holt
Neon

MCP: Learn the Universal Language for AI Integration

Dive into the Model Context Protocol and code an MCP server from scratch! Leverage external APIs, interact with custom applications, and learn security best-practices to ensure safe AI agent deployment.
Hard Parts of Neural Networks
Will Sentance
Codesmith

Hard Parts of Neural Networks

Through hands-on examples such as fraud detection and image recognition, you'll build robust mental models for foundational AI concepts like data preprocessing, probability, training, and prediction.
Sponsored content from our partners. Learn more.