Introduction
Many people are probably wondering, "I'd like to try using generative AI, but I don't know how to utilize it," or "I'm unsure whether we should implement it across the entire organization."
In fact, by 2026, the use of generative AI will already be commonplace. Here are five important points for correctly using generative AI, as told by Miki Fujisaki (Note: Actual name may differ), the representative of Microsoft Japan.
This article provides a detailed explanation, from security measures to specific usage methods.
Security and AI are two sides of the same coin: A fundamental principle emphasized by Microsoft Japan's head.
The most important aspect of utilizing generative AI is "security." The head of Microsoft Japan has stated this clearly:
"Only with proper security can we truly have the right to use AI."
Why is security of paramount importance?
Considering Japan's geopolitical risks, strengthening cybersecurity has become a challenge not only for individual companies but for Japan as a whole. The following measures are necessary to ensure the safe use of generated AI.
- Proper configuration of cloud systems
- Thorough employee training
- Regular risk checks
Examples of specific security measures
The Microsoft Japan representative recommends the following methods:
1. Putting the concept of "AI muscle training" into practice
We train AI to be used daily, like a muscle. If you don't use it continuously, its skills will decline.
2. "Better If" Mindset
I adopt an attitude of focusing on areas for improvement rather than weaknesses. I approach challenges with the perspective of "how can we make this better?"
Three practical methods for correctly utilizing generative AI: specific know-how and procedures
Point 1: Implement measures to shorten meeting times.
At the company where Microsoft Japan's representative works, they have changed their meeting style as follows:
- The number of people attending the meeting, which previously numbered over a dozen, will be reduced to just a few.
- AI summarizes and reviews the contents of meetings you did not attend.
- Minimize pre-meeting discussions.
Generative AI makes these reforms easier.
Point 2: Leaders themselves need to change.
It's not just about technological advancements. The most important factor is "the leaders' own decision-making."
- Set a shorter meeting time.
- Streamlining research using AI
- Sending weekly messages via the company's internal social networking service.
When leaders take the initiative and act proactively, it motivates the entire organization.
Point 3: Actively share stories of failure.
The Microsoft Japan representative recommends the following method:
- Send messages regularly on the company's internal social networking service.
- He also shared his own failures to gain empathy.
- We will highlight areas for improvement, such as weak coordination with headquarters and slow response times.
This is aimed at improving engagement throughout the organization.
Heading 3: Supplementary Information | Business Infrastructure and Energy Challenges in the Era of Generative AI
Data Center Market Outlook
The market is expected to remain volatile in 2026 as well, with supply continuing to lag behind demand.
- For the medium to long term, up to 2030, the energy situation and technological advancements remain uncertain.
- However, given Japan's position as the world's fifth-largest economy, there are expectations for market development.
- We also plan to continue making capital investments.
The Importance of Work-Life Blend
In 2025, Prime Minister Sanae Takaichi's phrase "Work, work!" was chosen as the buzzword of the year. This phrase is seen not simply as referring to working hours, but as "an expression of commitment."
- Work and daily life are not in opposition to each other.
- You don't need to aim for 100% of both.
- The ability to adapt and switch gears effectively is what's truly important.
The concept of "life-work blending" requires an attitude that values family and health.
Summary
As generative AI becomes more widespread, the challenge we face is not simply a matter of implementing tools. It's an opportunity to re-examine the very way we work.
The head of Microsoft Japan says, "Because we are a people-centered company, it is necessary to proactively communicate our ideas." Even as technology advances, the most important thing is how leaders themselves decide how to change how the company is run.
The phrase "AI muscle training" teaches us the lesson that consistent use is crucial. Security measures are also essential to have the right to use generative AI. Considering Japan's geopolitical risks, strengthening cybersecurity is a national issue.
Shortening meeting times and utilizing internal social media are things that can be easily implemented even in companies that are not technology companies. The key is to adopt a "Better if" mindset and focus on areas for improvement rather than weaknesses.
The concept of "work-life blending" emphasizes that instead of viewing work and life as opposing forces, the ability to skillfully switch between them is crucial. It requires a commitment to both work and personal life, including family and health.
Most importantly, leaders themselves must change. Small actions such as shortening meeting times, sharing failures, and regularly posting messages on internal social media can all contribute to improved engagement throughout the organization.
Generative AI is not just a tool; it's a catalyst for fundamentally rethinking our business processes. Instead of simply handing over traditional tasks to AI, it's also crucial to consider fundamentally re-evaluating processes and eliminating those tasks altogether.
Choosing what needs improvement and what needs fundamental reform is key to growth. When leaders take the lead and act, the entire organization will evolve.
