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What is truly being questioned by AI adoption might be the company's stance, not the efforts of the staff

In companies where AI adoption is not progressing, decision-making is dumped onto the staff

"If you use AI, your work will become easier."

Recently, I have had more opportunities to see such words.

Certainly, AI like ChatGPT and Claude is convenient.
It is a great help when it comes to refining text, organizing thoughts, or creating drafts for materials.

However, when it comes to using AI at a company, the story changes a little.

If you use it individually, you can make decisions at your own risk.
However, when using it for company work, various considerations such as information management, internal rules, and explanations to business partners become necessary.

In the news introduced on ITmedia AI+ this time, a survey on the actual state of AI utilization conducted by Raksul for small and medium-sized enterprises was featured.

According to the article, among companies where management does not use AI at all, 85.7% have no policy or promotion system for AI utilization.

Looking at this figure, I felt that "there is a limit to what the staff can do alone."

The reason why AI utilization does not progress is not necessarily because the staff on the ground lacks study.
Rather, it may be a bigger problem that it has not been decided what the company permits, what it prohibits, and how far it can be used.

The more cautious the employee, the more unnecessary responsibility they are forced to bear

People working on the front lines are very serious.

Even if they think, "It might finish faster if I use AI," not everyone jumps at it immediately.

Is it okay to enter customer names?
Is there a problem with uploading internal documents?
If there is a mistake in the text created by AI, who takes responsibility?
Is it okay for usage to be inconsistent across departments?

When there is such anxiety, the more cautious a person is, the more they stop in their tracks.

And what is troublesome is the atmosphere where "please use it well on your own" prevails without a company policy.

This looks free at first glance.
But in reality, it can be said that it is a state where judgment is dumped onto the staff.

Especially for mid-level employees and those in positions to receive consultations about IT, I think they are quite worried.

From above, they are told, "Can't you utilize AI?"
From the staff, they are asked, "Is it okay to use this?"
But there are no clear rules as a company.

In this state, rather than making work easier, AI might actually increase the burden of confirmation and explanation.

As someone who works in IT, I feel that this is a very realistic issue.

A state of having no rules is scarier than the new tools themselves.
I suspect there are quite a few people who feel this way.

What is needed is not "use AI," but defining the "scope of what is allowed"

I don't think advanced technology is the first thing needed to advance AI utilization.

What is needed first is for the company to draw a line.

For example, just deciding the following things should significantly reduce confusion in the workplace.

  • Distinguish between information that can be entered and information that cannot

  • Always have a person check text created by AI before using it

  • Do not enter customer information or personal information

  • Have a person in charge check documents to be released externally

  • Start with low-risk uses such as drafting text or organizing information

I don't think it's necessary to create a difficult AI strategy.
At first, a simple one-page A4 rule is enough.

In fact, trying to create an impressive policy right away will only take up time.

What the workplace wants is not a perfect slogan.
"You can use it up to this point"
"Let's avoid this"
"Who should I check with if I'm in trouble"

These are the kinds of concrete guidelines they need.

In companies where management does not use AI, this line-drawing is likely to be put on the back burner.

This is because if they aren't actually using it, it's hard to see where the staff might get confused.

The bottleneck for AI utilization is not just the performance of the tools.
It's whether the company can provide an environment where the staff can use them with peace of mind.
I think that is a major factor.

Companies in the AI era are required to create rules that protect their staff

I believe AI will become even more integrated into our work from here on out.

Drafting documents, creating materials, handling inquiries, and organizing information.
In various situations, using AI may become the norm.

What is important at that time is not to leave it in a state where "only those who can use it do so on their own."

Only the users bear the risks.
Only the cautious are left behind.
Only the IT staff are left to shoulder the consultations.

I don't think AI utilization will last long in that form.

If a company is going to use AI, it needs rules that allow front-line employees to try it out with peace of mind.
And perhaps the management team themselves also needs to try touching AI a little.

Unless you use it yourself, you won't understand its convenience or its dangers.
It also remains difficult to see where the front line gets confused.

Reading this news, I felt that AI utilization is not just about "introducing convenient tools."
It is also about how the company accepts the anxieties and responsibilities of the front line.

As a small action that front-line employees can take, I think it is to first write down the "situations where you might get lost with AI."

I don't know what to input.
I don't know who will check it.
I don't know which tasks I am allowed to use it for.

Just by putting such confusion into words, the rules necessary for the company become visible.

Before deciding whether to use AI, build a foundation where it can be used with peace of mind.
For companies from now on, won't that perspective become increasingly important?

Today's thought

What is truly necessary for AI utilization might be creating small rules to avoid dumping everything on the front line.


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