Language Skills Are Essential for Using AI | The "Ability to Read, Think, and Communicate" Is More Important Than Prompts

You’re using AI, but you’re not getting the answers you expected.
It’s supposed to be convenient, but the text is vague, or you find yourself wondering if you can really trust the search results.
That frustration often points to a gap between the intended question and the information given to the AI.

The reason might not be just the AI’s performance.
In fact, to use AI effectively, you need “language skills” even before you learn about prompt formats.

The language skills referred to here do not mean advanced literary knowledge.
They refer to the ability to read text accurately, organize your own thoughts, ask questions in a way that gets your point across, and critically evaluate the answers you receive.

MEXT’s Guidelines for the Use of Generative AI in Primary and Secondary Education, Ver. 2.0 make human-centered use and stronger information literacy two central principles.
The Cultural Council report on Japanese language skills for the coming era describes language as a foundation for intellectual activity, sensibility, and communication.

In other words, precisely because we are in the AI era, Japanese language skills are not outdated—rather, their practical value is increasing.
we will carefully explain why Japanese language skills are necessary for utilizing AI, which specific skills to develop, and provide concrete exercises you can start today.

Why Japanese Language Skills Are Necessary for Utilizing AI

The reason Japanese language skills are necessary for utilizing AI is that both giving instructions to AI and understanding its responses ultimately rely on language.

No matter how advanced an AI system is, if your intent is ambiguous, the response you receive will also be ambiguous.
Conversely, if you can clearly articulate your objectives, conditions, context, and desired output format, AI can become a highly practical tool.

The sources referenced include official guidelines from the Ministry of Education, Culture, Sports, Science and Technology (MEXT); public documents from the Agency for Cultural Affairs and the Cultural Affairs Council; official guidelines from the Ministry of Internal Affairs and Communications and the Ministry of Economy, Trade and Industry; and international survey data from the OECD.
The Ministry of Education, Culture, Sports, Science and Technology’s Generative AI Guidelines Ver. 2.0 were published on December 26, Reiwa 6, and Version 1.2 of the Ministry of Internal Affairs and Communications and Ministry of Economy, Trade and Industry’s Guidelines for AI Service Providers was released on March 31, Reiwa 8.
All of these documents are based on the premise that human judgment, understanding, explanation, and risk management are necessary when using AI.

Strong language skills make it easier to accurately convey to AI “what you want it to do.”
For example, instead of saying, “Write a blog post,” you can say, “Write a post for beginners, avoiding technical jargon, about 2,000 characters long, with headings, and include a call to action at the end.”
This difference may seem small, but it significantly impacts the quality of the AI’s output.

The benefit is that the AI’s responses become more specific, reducing the number of revisions needed.
Whether for work, study, blogging, research, or writing emails, the quality of your output tends to be more consistent across most tasks.

The downside is that it requires more effort to think things through upfront.
However, skipping this step will result in having to make numerous revisions later, which ultimately takes more time.

One important point to note is not to limit your language skills to just “the ability to write beautiful sentences.”
Using AI requires more than just literary expression.
It also includes the ability to define your purpose, organize conditions, notice inconsistencies, and rephrase your message to suit your audience.

In my observation, the people who are most proficient at using AI are also the best at “organizing their thoughts” behind the scenes of the prompts.
Rather than knowing some special magic words, they’re able to articulate exactly what they want to ask for, what information is needed, and how much control to delegate.

A concrete step you can take starting today is to write down a single sentence as a note before asking the AI for help.
Simply writing down “What do I want to know?”, “Who is this text for?”, and “In what format do I want it?” before feeding it to the AI will significantly change the output.

“Reading Skills” Are Essential for Giving Instructions to AI

To use AI, you first need reading skills.
This is because the ability to interpret text is essential for determining whether the AI’s response is correct, addresses the question, or meets the specified criteria.

The Ministry of Education, Culture, Sports, Science and Technology’s Generative AI Guidelines Ver. 2.0 state that even in an era of generative AI, it remains crucial to understand the meaning of individual pieces of information and to question the essence of the problem.
This means that rather than simply accepting AI’s answers, humans must read, understand, and evaluate them.

According to the OECD’s PISA 2022 country-specific data, regarding the reading comprehension skills of 15-year-olds in Japan, the percentage of students who reached at least the basic level of reading literacy exceeded the OECD average.
On the other hand, reading comprehension in the AI era requires more than simply reading a text.
It is necessary to examine the source of the information, its assumptions, missing conditions, and even ambiguities in the wording.

The advantage is that you can quickly spot errors or inaccuracies in AI responses.
Since AI responds in natural language, its answers may appear correct at first glance.
With strong reading skills, you can judge whether “this has weak evidence,” “it’s slightly off-topic,” or “it doesn’t meet the conditions.”

The downside is that if your reading skills are weak, you’re more likely to be swayed by AI-generated text.
Even if the wording seems plausible, the content may be shallow.
Using it as-is carries the risk of spreading misinformation or unnatural text.

It’s important not to view AI responses as “finished products.”
It’s safer to treat AI responses as drafts, sources of advice, or tools for organizing your thoughts.
Especially in fields such as law, medicine, finance, education, religion, and news, it’s essential to cross-check with official documents and primary sources.

In practice, even when the flow of the text seems natural, AI responses may overlook specific details.
For example, even if you ask for “beginner-friendly” content, technical jargon might remain, or if you ask for a “comparison,” the AI might explain only one side in detail.
These issues cannot be corrected unless the reader notices them.

As a practical step, after reading the AI’s response, please check the following three points:
Does it answer the question? Is there supporting evidence? Does it align with your purpose?
Just by checking these three points, your use of AI will become much more reliable.

Checklist for Developing Reading Skills

• Check whether the AI’s answer directly addresses the question
• Check whether any conditions are missing
• Check the types of evidence provided
• Check whether the answer is overly definitive
• Check whether the wording aligns with your purpose
• Don’t leave unfamiliar terms unchecked
• Distinguish between facts verifiable in official sources and speculation

A Good Prompt Requires “Questioning Skills”

Writing a good prompt requires questioning skills.
Questioning skills refer to the ability to frame what you want to know in a way that makes it easy for the AI to answer.

If you simply ask an AI, “Tell me more,” it will return a broad, general answer.
However, if you specify “for beginners,” “in a way that even elementary school students can understand,” “prioritize official information,” or “separate the benefits from the precautions,” the direction of the answer becomes clear.

The Ministry of Education, Culture, Sports, Science and Technology’s guidelines for generative AI state that even when using generative AI, it is important to foster the critical thinking, judgment, and expression skills emphasized in the national curriculum.
In other words, the ability to ask AI questions is not merely an operational skill, but part of one’s ability to think and express oneself in words.

The Ministry of Internal Affairs and Communications and Ministry of Economy, Trade and Industry’s AI Provider Guidelines, Version 1.2, outline the fundamental principles for necessary measures regarding the development, provision, and use of AI.
Users, too, are expected to understand not only the benefits but also the risks of AI and adopt an attitude of using it appropriately.
The starting point for this is asking questions with a clear purpose.

The benefit is that the AI’s output will be closer to your intended goal.
If the question is clear, the AI can perform tasks such as writing, summarizing, comparing, generating ideas, and creating checklists more effectively.

The downside is that it’s difficult to formulate a question if your own thoughts remain vague.
However, this isn’t necessarily a bad thing.
Because you can see the vagueness in your own thoughts before asking the AI, it actually helps clarify the starting point of your work.

One thing to keep in mind is not to simply memorize prompt templates.
Templates are convenient, but their effectiveness is limited if your purpose is unclear.
It’s important to decide in advance “to whom,” “what,” “at what level of detail,” and “in what format” you want to communicate.

In my experience, people who are good at asking AI questions don’t write perfect sentences from the start.
Rather, their prompts are concise but clearly define the conditions.
Simply adding a phrase like “conclusion first,” “based on official sources,” or “include points to note” improves the quality of the response.

As a practical step, when creating a prompt, write down these four elements: “purpose,” “target audience,” “conditions,” and “format.”
For example, if you write, “Explain to AI beginners why language skills are necessary, in the format of a blog post with headings and specific examples,” the AI will be able to work much more effectively.

A Framework for Developing Your Questioning Skills

• Write down what you want to know
• Write down who the content is intended for
• Write down how much detail you want
• Specify the output format
• Write down the types of sources you want it to use
• Write down expressions you want it to avoid
• Write down the points you want it to confirm at the end

Using AI Responses Requires “Summarization Skills”

To use AI responses effectively, you need summarization skills.
While AI can generate a lot of information, not all of it is necessarily usable as-is.
You need the ability to select the necessary parts, condense them, and organize them to suit your specific purpose.

The Cultural Council’s report, “Language Skills Required for the Coming Era,” positions the Japanese language as the foundation of communication—which is fundamental to social life—and explains that social life is sustained through the activities of listening, speaking, reading, and writing.
Among these, summarization is a crucial skill that bridges “reading” and “writing.”

AI responses can sometimes be lengthy.
Especially when conducting research or developing plans, background information, examples, points to note, and supplementary details are often presented all at once, so readers must extract only the necessary parts.

The advantage is that it makes it easier to translate information into actual action.
People who can summarize effectively can transform AI’s lengthy explanations into the question, “So, what should I actually do?”
This is a powerful tool whether you’re working, studying, or running a blog.

The downside is that if you summarize incorrectly, you might omit important details.
If you prioritize brevity alone, supporting evidence and precautions may be lost, potentially leading to misleading text.

It’s important not to confuse summarizing with omitting.
Summarizing means shortening the text while retaining its key meaning.
Omitting simply means cutting things out.
When using AI-generated responses, you need to be mindful of retaining the conclusion, reasons, conditions, and points to note.

When actually writing blog posts or explanatory texts,Instead of simply pasting the text generated by AI, it’s more useful to give it additional instructions, such as “Summarize this in three lines” or “Turn this into actionable steps for the reader.”
On top of that, if a human then fine-tunes the text from the reader’s perspective, it increases the text’s credibility.

As a specific step, after the AI generates a long response, be sure to ask it to “summarize the main points into three.”
Furthermore, asking, “How can this be turned into something the reader can do today?” makes the information more practical.

Steps to Hone Your Summarization Skills

• Extract the conclusion from a long response
• Summarize the reasoning in a single sentence
• Include conditions and exceptions
• Do not omit important caveats
• Rephrase the content into actionable steps for the reader
• Remove less important explanations
• Finally, rephrase it in your own words

“Verification Skills” Are Also Part of Language Proficiency in the AI Era

Language proficiency in the AI era also includes the ability to verify information.
It’s not enough to simply read; you need the ability to confirm whether the information is accurate, supported by evidence, and up-to-date.

Generative AI excels at producing natural-sounding text.
However, natural-sounding text does not necessarily mean the content is accurate.
Therefore, when using AI-generated responses, it is important to verify the information using official websites, government documents, materials from public institutions, official corporate documents, and research institute reports.

The Ministry of Internal Affairs and Communications and Ministry of Economy, Trade and Industry’s “Guidelines for AI Service Providers, Version 1.2” addresses both the benefits and risks of AI.
While AI is convenient, it can also pose issues such as misinformation, bias, infringement of rights, security risks, and privacy concerns.
This is no less relevant for personal use.

The benefit is that it makes it easier to use AI-generated answers with confidence.
If you have the ability to verify information, you can treat AI as a tool—neither fearing it too much nor trusting it blindly.

The drawback is that verification takes time.
It is especially essential to check official sources for the latest information and details regarding systems, fees, terms of service, healthcare, laws, and finance.
Although this adds an extra step, it reduces the risk of providing incorrect information.

One important point to note is not to simply stop at asking the AI, “Is this correct?”
AI may present its answers in a way that makes them seem plausible.
When verifying, check the type of source, date, version, and the issuing authority.

In my experience, people who use AI outputs effectively don’t simply doubt everything; instead, they decide in advance where to verify the information.
For example, they categorize sources by type: official websites for products, government documents for policies, the Ministry of Education, Culture, Sports, Science and Technology for education, the Agency for Cultural Affairs for language policy, and the OECD for international comparisons.

As a concrete step, ask the AI, “Which points in this answer should I verify using official documents?”
Then, verify the information yourself using the official documents.
Just doing this significantly increases the safety of using AI-generated answers.

Sources to Verify to Hone Your Verification Skills

• Government documents
• Local government documents
• Public agency documents
• Official corporate websites
• Official release notes
• Research institute documents
• Original source materials
• Documents with clear publication or update dates

Writing Skills Determine the Final Quality of AI-Generated Content

When utilizing AI, your writing skills determine the final quality of the content.
Even if AI creates a draft, it is a human who ultimately polishes the text so it reaches the reader in its final form.

While AI-generated text may appear polished, it can often come across as somewhat generic.
By adding your own experience, consideration for the reader, specific examples, and points to note, you can turn it into practical writing.

The Cultural Council’s report on Japanese language proficiency states that the Japanese language is fundamental to the ability to form interpersonal relationships and to effectively present and communicate ideas according to purpose and context.
This applies directly to communication in the AI era as well.
Even in an era where AI generates text, it is humans who decide what to convey, to whom, and how.

The advantage is that you can refine AI-generated text to suit your specific purpose.
For a blog, you can make it easy for readers to understand; for work, you can ensure it’s polite to the recipient; and for learning, you can structure it for easy comprehension.

The downside is that if your writing skills are weak, you tend to use the AI’s text as-is.
As a result, the text may come across as detached or fail to address the reader’s concerns.

One key point to keep in mind is not to treat AI-generated text—which is often overly polished—as a finished product.
Readers are looking for more than just polished language; they want specific situations, common pitfalls, and practical advice on what to do.

When you actually use AI to create articles or explanatory texts, it’s convenient for structuring the content.
However, adding a sentence that addresses the reader’s concerns or including specific examples you’ve observed yourself can drastically change the impression the text leaves.
The more you use AI, the more your own editing skills stand out.

As a practical step, ask yourself three questions at the end of any text generated by AI:
“Does this address the reader’s concerns?” “Does it suggest specific actions?” “Does it sound natural in my own words?”
Simply checking these points will improve the quality of your writing.

Editing Tips to Hone Your Writing Skills

• Put the conclusion first
• Address the reader’s concerns
• Include specific examples
• Include points to note
• Paraphrase technical terms
• Keep sentences short
• End with a call to action

Common Problems When Using AI with Weak Language Skills

If your language skills are weak, several problems are likely to arise when using AI.
Typical examples include asking ambiguous questions, misinterpreting answers, failing to spot misinformation, and using AI-generated text verbatim.

This isn’t so much a fault of the AI as it is a situation where humans are unable to effectively manage the AI’s output.
AI is a useful tool, but if the user’s purpose is unclear, the results will also be unclear.

The Ministry of Education, Culture, Sports, Science and Technology’s Generative AI Guidelines Ver. 2.0 acknowledge the importance of mastering generative AI as a tool while emphasizing the significance of learning and deep comprehension.
In other words, there is a difference between leaving things to AI and not having to think for oneself.

One benefit is that it can help you identify weaknesses in your language skills.
Using AI reveals challenges such as not knowing what you want to ask, being unable to explain why a sentence feels off, or failing to identify key points.
This serves as a starting point for improvement.

The downside is that relying too heavily on AI reduces the time you spend thinking for yourself.
In particular, if you continue to use it solely to find answers, it becomes difficult to develop your reading and writing skills.

The key is to use AI not as a “source of answers,” but as a “partner for thinking.”
If you go beyond simply getting an answer—and instead ask for reasoning, consider opposing viewpoints, vary the conditions, or summarize concisely—your language skills will improve.

In my observation, people who improve by using AI are not immediately satisfied with the AI’s answers.
They ask follow-up questions like, “Why can you say that?”, “Are there other perspectives?”, or “How would you explain this to a beginner?”
This exchange itself serves as practice for language skills.

As a concrete action, try asking just one follow-up question to the AI’s response.
Simply asking one of the following—“What’s your evidence?”, “What are the counterarguments?”, “Can you put it more simply?”, or “How would you actually do this?”—will deepen your understanding.

Common Pitfalls

• Asking vague questions leads to vague answers
• Assuming the AI’s text is correct
• Failing to grasp the main points of a long answer
• Failing to notice missing conditions
• Being unable to rephrase the answer in your own words
• Being unable to adapt the answer to suit the reader or audience
• Skipping the step of verifying official information

Language Skills to Develop for Effective AI Use

The five language skills to develop for effective AI use are reading, asking questions, summarizing, verifying, and writing.
You can gradually improve these five skills while using AI, without needing any special study.

When reviewing materials from the Ministry of Education, Culture, Sports, Science and Technology; the Agency for Cultural Affairs; the Ministry of Internal Affairs and Communications; the Ministry of Economy, Trade and Industry; the OECD; and other sources, a common theme emerges: the importance of human understanding, judgment, and expression.
Even as AI advances, setting objectives, understanding meaning, and using AI responsibly remain tasks for humans.

The benefit is that you can harness the power of AI more effectively in real-world situations.
People with strong language skills will find it easier to use AI not only for writing but also for learning, planning, comparing, verifying, communicating, and improving work processes.

The downside is that it’s hard to notice dramatic changes right away.
Language skills aren’t something you can switch on instantly, like adjusting an app setting.
However, simply making small changes to how you use it every day will definitely make a difference.

One thing to keep in mind is not to aim for perfection.
The language skills needed to use AI effectively aren’t about writing complex, eloquent prose.
Rather, they involve the ability to organize your objectives and conditions using language that clearly communicates your intent to others, and then read and evaluate the responses you receive.

In fact, the more you use AI in your daily work, the more important the precision of your concise wording becomes.
Instead of saying, “Make it sound good,” can you say, “Make it so readers can take action right away”?
Instead of “In detail,” can you say, “Focus on the points where beginners tend to struggle”?
This difference is what determines the quality of the AI’s output.

As a concrete action, I recommend “adding one more round of interaction” every time you use AI.
Don’t stop at the first response; add one of the following: a summary, verification, rephrasing, or improvement.
Just by doing this, AI becomes more than a mere automated generation tool—it becomes a partner that helps you sharpen your thinking.

Exercises You Can Start Today

• Write down your objective in one sentence before asking the AI
• Specify only three conditions
• Ask the AI to summarize the answer in three lines
• Check the types of evidence provided
• Ask what points you should verify in official documents
• Ask the AI to rephrase difficult terms
• Finally, rewrite the answer in your own words

Summary

To make effective use of AI, you need language skills.
The language skills referred to here aren’t just the ability to write beautiful prose.
They are practical language skills that combine the abilities to read, ask questions, summarize, verify, and write.

A review of the Ministry of Education, Culture, Sports, Science and Technology’s Generative AI Guidelines Ver. 2.0, the Cultural Affairs Council’s report on language proficiency, the Ministry of Internal Affairs and Communications and Ministry of Economy, Trade and Industry’s guidelines for AI service providers, and the OECD’s PISA data reveals that even in the AI era, human understanding, judgment, and expression remain crucial.

AI is convenient.
However, it is humans who decide what to ask of AI, how to interpret the answers it provides, what to revise, and how to use them.
At the heart of all this lies language proficiency.

One action you can take right now is to write down the “purpose,” “subject,” “conditions,” and “format” before asking AI a question.
And don’t just use the AI’s response as is—summarize it, verify the evidence, and rephrase it in your own words.

What we need in the age of AI isn’t to outperform machines, but to use them to convey our own thoughts more accurately.
By honing your language skills just a little, AI will transform from a mere convenience tool into a partner that expands your ability to think.

Precisely because AI is evolving right now, the ability to read, ask questions, and verify information—in other words, strong language skills—is surprisingly practical, and you can start putting them to use today.It's what sets you apart.