Let's Categorize Tasks AI Is Good At and Tasks It Struggles With Based on Real-World Experience
What is AI good at, and what does it struggle with? Based on specific examples from actual use, we’ll outline practical applications and points to keep in mind.
4 min read
When using AI, there are times when I think, “This is surprisingly convenient,” but there are also plenty of moments when I realize, “Humans are faster at that.”
rather than relying on theory or marketing hype, I’ll outline the tasks AI excels at and those it struggles with, based on my actual experience using it in daily life and work.
The goal is to help those unsure how to work with AI make realistic decisions about when to use it and when not to.
Tasks Where AI Clearly Excels
Organizing and Restructuring Information
AI is exceptionally reliable at organizing scattered information into a consistent format.
- Breaking down long texts into key points
- Converting bullet points into paragraphs, or vice versa
- Organizing information by perspective (e.g., pros and cons)
From personal experience, even for processes that take humans time because they involve “thinking while writing,” AI produces consistent results without tiring.
Its strengths are most evident in tasks that are closer to “formatting” rather than actual thinking.
Creating Drafts and Working Versions
It really shines not in the final product, but in the intermediate stages of going from 0 to 1.
- Brainstorming article structures
- Drafting emails and explanatory texts
- Generating multiple phrasing options
Since quantity is more important than accuracy at this stage, the AI’s speed directly translates to value.
When used with the understanding that humans will make the final decisions and adjustments, efficiency has improved significantly.
Supporting Standardized Thinking
It provides reliable answers to questions such as, “Given these conditions, what is the general way of thinking about this?”
- Presenting general principles
- Listing common options
- Supplementing perspectives that are easily overlooked
This is because the AI possesses a vast internal database of existing patterns, making it well-suited for situations where comprehensiveness—rather than originality—is expected.
Tasks Where AI Falls Short
Context-Dependent Final Decisions
Decisions such as “Which option should I choose in this situation?” ultimately fall to humans.
- Decision-making that involves responsibility
- Choices that take emotions and relationships into account
- Problems with many ambiguous premises
While AI can present options, it cannot shoulder the weight of the decision.
Misunderstanding this point can lead to relying too heavily on AI for judgment.
Tasks Where the Experience Itself Holds Value
The experience of physically being there and the atmosphere felt on the spot cannot be replicated.
- Impressions gained from visiting the site
- Sensations arising from interactions with people
- The process of trial and error itself
AI can provide explanations, but it cannot “experience” things firsthand.
It is more realistic to use AI as an aid in putting experiences into words.
Keeping Up with the Latest Developments
While AI excels at general principles and past trends, caution is needed regarding recent changes.
- Operations immediately following regulatory reforms
- Handling exceptions that vary by location
- Decisions based on non-public information
In these areas, humans must verify primary sources and official announcements.
The Proper Division of Labor with AI, as Seen Through Real-World Experience
Expectations are set appropriately when AI is viewed not as an “entity that thinks for us,” but as a “tool that rapidly organizes material for thinking.”
- Tasks to delegate to AI: Organization, expansion, drafting, and comprehensiveness
- Tasks for humans: Decision-making, accountability, final adjustments, and experience
Since becoming conscious of this division of labor, not only has my work efficiency improved, but my mental burden has also decreased.
Points to Keep in Mind When Using AI
- Do not use the output as-is
- Always verify uncertain information
- Don’t assume that “convenient = correct”
AI is excellent, but it is not all-powerful.
The user’s approach directly reflects the quality of the results.
Summary
AI excels at organization, mass production, and generalized thinking.
It struggles with areas involving judgment, experience, and responsibility.
If you use it with an understanding of these characteristics, AI can become a very reliable partner.
Rather than expecting AI to “think for you,” I believe the most realistic approach at this point is to use it as a “tool that expands your scope for thinking.”
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