The Resistance to AI Implementation Comes from the Young: Understanding the Anxiety of Generation Z and What Small and Medium Enterprises Should Do

Who is blocking the introduction of AI? Do you think it’s the “IT-illiterate executives”?

In fact, it is not. Recent surveys indicate that it is rather the young—Generation Z—that is the biggest resistance force against AI implementation. Why do these digital natives reject AI? If we proceed with the mindset of “let’s just implement AI tools” without understanding this structure, the workplace will undoubtedly come to a halt.

This issue is particularly serious for small and medium enterprises (SMEs) in rural areas. If just two or three young employees turn their backs in a company with 20 to 50 employees, the project can come to a standstill. Unlike large corporations, SMEs do not have the capacity to create a “promotional department” to push through such changes. Therefore, it is essential to grasp the essence of this phenomenon.

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The Numbers Speak: “Generation Z’s Anxiety about AI”

First, let’s look at the facts.

A survey conducted by Gallup in 2024 revealed that 22% of Generation Z (ages 18-26) responded that they fear “AI will take away their jobs”. This significantly exceeds the overall average of 15% across all generations. Furthermore, according to a report by Newsweek, about 40% of Generation Z has experienced some form of resistance behavior against the introduction of AI tools in the workplace. Specifically, this includes actions such as “intentionally avoiding the use of AI tools,” “expressing opposition to decisions regarding implementation,” and “creating an atmosphere among colleagues to not use the tools.”

This is not just a vague dislike; it is an organized resistance.

There is a real story from a local manufacturing company (with 35 employees). When the president attempted to introduce an automation tool for creating estimates (a SaaS costing about 30,000 yen per month), three young sales representatives pushed back, claiming that “their know-how would be denied.” As a result, the implementation was shelved for six months. During that time, the manual process took an average of 40 minutes per estimate. With 60 estimates per month, this amounts to approximately 1,440 hours annually—equivalent to about 3.6 million yen in labor costs—lost due to the “resistance of the young.”

This cost is no laughing matter for SMEs.

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The True Nature of Their Anxiety Is Not “Losing Jobs”

So, does Generation Z really fear “losing their jobs”?

On the surface, it may seem so. However, digging a little deeper reveals a different picture.

What they truly fear is “losing their value”. More specifically, it is the fear of “losing the meaning of their existence in this company.”

Consider this: Generation Z has not experienced an employment ice age, but they have been thoroughly conditioned to value “individuality” and “authenticity.” They are a generation that is constantly compared to others on social media and is sensitive to their “existential value.”

When they hear, “We will improve efficiency with AI. The work you used to do will be done by AI,” what happens? They feel that “not just your job, but your significance is being denied.”

This is not merely a labor issue; it is a crisis of meaning.

As pointed out by the Harvard Business Review, the essential threat posed by AI is not job loss, but rather the “loss of opportunities for self-actualization through work.” Generation Z perceives this threat more acutely than other generations.

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“AI Fatigue”: An Unmissable Signal

Another phenomenon that must be noted is AI Fatigue.

Starting in late 2024, a sentiment of “enough talk about AI” began to spread, particularly in the tech industry. According to Gartner’s hype cycle, we are indeed approaching the “valley of disillusionment.”

Generation Z is the most sensitive generation to this sentiment. Their social media timelines are flooded with excessive promotions of AI, with slogans like “10 times your income with AI” and “those who don’t use AI will be eliminated” circulating widely. As a result, a sense of aversion towards AI itself is being cultivated.

In other words, the moment executives say, “We will implement AI,” what comes to the minds of the young is not a concrete image of operational improvement, but rather the faces of dubious AI influencers they saw on social media. It is no wonder they cannot feel positive about it.

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Concrete Steps for SMEs to Take

So, what should be done? We don’t need general statements like “dialogue is important” or “let’s educate them.” Let’s talk about actionable steps that can be implemented in SMEs starting tomorrow.

#### 1. Avoid Using the Term “AI”

This may sound paradoxical, but it is the most effective approach.

The moment you label it as an “AI implementation project,” the young employees will brace themselves. Instead, start with “Isn’t this task a hassle every time?” Focus on the tedious tasks like data entry for estimates, compiling daily reports, and reconciling inventory—begin with the “hassles” faced in the workplace.

Present the solution as something that just happens to involve AI. Identify the problem first, then the technology. This alone can significantly reduce resistance.

In one construction company (with 28 employees), they started by addressing the young employees’ complaints about “the hassle of inputting daily reports,” leading to the implementation of a voice input and automatic formatting system. Although the ChatGPT API was running in the background, the young employees only recognized it as a “convenient daily report app.” After implementation, the time taken to create daily reports was reduced from 15 minutes to 3 minutes per person. This resulted in a total reduction of approximately 140 hours per month across the company.

#### 2. Design to “Increase” Rather Than “Replace”

The most crucial mistake to avoid in AI implementation is the message of “We will replace your job with AI.”

Instead, frame it as “AI will take care of the mundane tasks, allowing you to spend more time on interesting work.”

Specifically, decide in advance how the time saved by AI will be utilized. For instance, say, “Once the estimate creation is automated, we will increase customer visits by three per month with the time saved.” If the use of the freed-up time is unclear, the young employees will feel it is a sign that they are becoming unnecessary.

#### 3. Involve Young Employees in the “Implementation Side”

This is the most powerful approach: turning the resistance force into a driving force.

Instead of asking, “What do you think about using this tool?” involve them by saying, “Can you help us think of ways to make this work easier?” Generation Z is highly sensitive to the UI of digital tools. Feedback like “this is inconvenient” or “this part is off” can actually be the key to successful implementation.

In the aforementioned manufacturing company, the three young employees who initially opposed the idea were appointed as members of the “business improvement team.” They identified issues themselves, selected tools, and established operational rules. As a result, the three who had opposed the implementation became the most active users. Three months after implementation, the time taken to create estimates was reduced from 40 minutes to 8 minutes, resulting in an annual cost-saving effect of approximately 2.8 million yen. Considering the 3.6 million yen loss incurred during the six months it was shelved, this approach should have been taken from the start.

#### 4. Start Small and Create Experiences That “End on Their Own”

The strength of SMEs lies in their quick decision-making. There is no need to go through five levels of approval like in large corporations.

Automate just one task with a tool costing a few thousand to 30,000 yen per month. Instead of a company-wide rollout, start with one person and one task. Once results are achieved, others will naturally start to imitate, thinking, “Hey, that’s convenient.”

This “spontaneous spread” is the optimal solution for AI implementation in SMEs. Resistance arises when top-down directives of “company-wide implementation!” are issued. The ideal scenario is bottom-up, where employees find themselves using the tools without even realizing it.

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The Real Question Is Not Whether to Implement AI

Finally, let me state the most important point.

The phenomenon of Generation Z resisting AI is actually a reflection of “the question of who I am in this company being left unaddressed.”

Before discussing whether to implement AI or not, it is crucial for executives to convey the message: “You have a role here,” and “Your judgment is needed.” If this is lacking, no matter how excellent the tools are, the workplace will not move.

Conversely, companies that can confront this question head-on will be able to leverage AI as a weapon to significantly increase productivity. A company with 30 employees can handle the work of 100 people with AI. This is not a pipe dream; it is already starting to happen.

The issue is not AI. It is “how to handle people.”

And isn’t that something that SMEs have excelled at for a long time? The president knows the faces and names of all employees. They can directly address the concerns of the workplace. That closeness will become the greatest weapon for SMEs in the age of AI.

While large corporations create “AI promotion offices” and issue commands, SMEs can tackle the “hassles” one by one together with the young employees.

That approach will be much faster.