Appeared at the opening of WeWork Osaka Honmachi

In February 2026, I spoke at the opening party for WeWork Honmachi (Osaka).
This was WeWork's first new location in the Kansai region in about six years. The event featured a talk session on the theme of AI and a networking event with over 100 business owners and startups.

I will summarize the content of the talk session on the day in as much detail as possible.

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GMO AI training results for 6,000 people: utilization rate goes from 6% to a shocking 90%

In Digirise, in the past year and a littleOver 400 companiesWe have supported the introduction of AI in

Among them, the most symbolicGMO Internet GroupExamples of:
Here are the results of AI training for 6,000 employees.

• AI utilization rate:6% → Approximately 90%
• Work hours reduced per person:38.4 hours per month

38.4 hours per month meansAlmost 5 full days' worthThis has an effect when multiplied by 6,000 people.

The purpose of introducing AI is simple:"Hand over tasks that don't need to be done by humans to AI, and focus on the tasks that humans should be doing.".That's it.

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AI has made work incredibly fast. But why has it made me busier?

This is my own experience, but since I started using AI,On the contrary, I've become busier.

Minutes, emails, document preparation - post-meeting administrative work can now be completed almost instantly.Meetings keep popping up on the calendarAs efficiency increased, we were able to do more and work more.

Another big one isSpeed of research.
When a new industry project comes up, we quickly research it using ChatGPT's Deep Research, put it into documents, check it with robots, and then discuss it with executives. This process is incredibly fast.

however,Whether or not the speed of decision-making has increased is another matter..

The time from research to discussion has become much faster.
butIn the end, it's humans who decideThis place remains unchanged.
Large companies in particular have multiple layers of approval processes, and decision-making is slow even with AI.

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What is the difference between "growing companies" and "stagnating companies"?

Having looked at over 400 companies, there is a clear difference between companies that are well suited to AI and those that are not.

Characteristics of growing companies

• The top management is working hard(Not only by command, but also by touching it himself)
• Paid accounts are distributed to all employees(It also helps to combat shadow AI)
• The stance is "Let's work together" rather than "Use it"
• At the field levelSmall success storiesare being loaded

Characteristics of companies that are stalling

• Just by installing the toolNo operational design
• The person in charge of promotion is isolated
• Management thinks that "AI is scary" and "it's too early"
• IT vendors themselves are not using AI(This is quite common)

The last point in particular was met with a lot of sympathy from the audience.
If your IT vendor doesn't use AI,The implementation location is unlikely to go well.

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In an age where AI writes code, the value of "engineers who can speak" is skyrocketing

This was another topic that got everyone excited at the event.

In an age where AI can write code,The relative value of good coders is declining.
Instead, what's going up isPeople who can handle upstream processesvalue.

• What the client wants to doHearingdo
• Structuring the problemrequirements definitiondo
• Between the field and managementBridgingdo

In short"Engineers who can speak" are the bestThe era of.

AI can write the code.
But what really gets people to decide "what to make" isOnly people who can speak.
There is an overwhelming shortage of personnel who can handle upstream processes (interviews and requirements definition).

Incidentally, the hiring criteria for Digirise have also changed."Can you speak?"We place importance on this.

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New businesses are entering an era of "making 100 and hoping one hits the mark"

There are also big changes on the business side.

Until now, the standard procedure has been to analyze the market and carefully launch a business.
It's different now. AI can create prototypes quickly,Make 100 and focus on oneThis approach is becoming more realistic.

The speed of the PDCA cycle is crucialAn era of division.
Companies that think too much and fail to act will be overtaken by companies that think while acting.

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Things you should never do in the age of AI

Don't just give out AI-like output.

Send the Gantt charts and documents you created with ChatGPT directly to your clients.This is a big no-no.

When one of our members submitted consulting materials that looked too much like AI, a client pointed out to him, "You're using AI, aren't you?" It's perfectly fine to use AI.Carefully check your output to make it look handmade.If you neglect this, you will lose trust.

Don't just accept AI answers

The AI's answer is 100%, which meansNot likely.
What is most needed in today's world isThe ability to judge whether the answer given by AI is correct.

Get into the habit of drawing your own conclusions.
Before asking AI, first have your own opinion.
"When I asked AI, this is what it said" is no longer valid.

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Stories about how businesses are actually being born from the WeWork community

Switching gears a bit, we also talked about the power of the WeWork community.

When I started my business in Shanghai as a student, my first office was a WeWork. I believe in the power of place so much that visiting WeWork locations around the world has become a highlight of my business trips.

In fact, even in Digirise,Employees interacted naturally within WeWork and won a development project worth 10 million yenIt wasn't an intentional sales pitch, but rather trust was born through daily face-to-face contact, which led to business.

• For venturesThe WeWork brand is trustworthybecome
• For fast-growing companiesFlexible office expansionIt will be helpful
• Community × CommunityBusiness expands through multiplication

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We want to make Honmachi "the office with the most AI in Japan."

Finally, what did you talk about as your outlook for the future?

Digirise is held in Honmachi, Osaka.Expanding recruitmentWe will continue to do so.
The strength of people from Osaka is their ability to speak. They can speak, use AI, and develop it.We want to produce such the best talent from Honmachi..

With an eye on going public in two years, we still need more people.
If you are interested in AI or would like to work with us, please contact us.

We will make WeWork Honmachi the most AI-enabled office in Japan.
From Osaka, we want to change Japan with AI.

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Summary: Key points discussed during the presentation

• AI has made the creation of minutes, emails, and documents extremely fast. As a result, the number of meetings has increased, making us busier.
• GMO conducted AI training for 6,000 people, resulting in a utilization rate of 90% (6%), reducing the time spent by 38.4 hours per person.
• Digirise has supported the introduction of AI to over 400 companies in just over a year.
• There is a clear difference between successful and unsuccessful companies
• The purpose of using AI is to reduce daily work. It allows people to focus on the things they need to do by handing over tasks that don't need to be done.
• Deep Research allows you to go from industry research to document creation to discussion in one go
• However, although research may become faster, decision-making is ultimately done by humans. This will not change.
• Larger companies have more multi-layered approval processes, and decision-making is slow even with AI.
• In this day and age, it takes one out of every 100 new businesses to succeed. The speed of the PDCA cycle is key.
• In an age where AI can write code, the value of "engineers who can speak" is skyrocketing
• There is an overwhelming shortage of people who can handle upstream processes (interviews and requirements definition)
• Don't just give out AI-like output as is. Check it carefully to make it look handcrafted.
• AI's answer is unlikely to be 100% correct. The ability to judge whether it is correct is what is most needed now.
• Get into the habit of coming to your own conclusions. Form your own opinion before asking AI.

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