[Chapter 9 Added] Your experience might not yet be 'usable knowledge': 'Knowledge Asset Inventory' has been added to 'The Complete Guide to Life Planning in the AI Era'

[Chapter 9 Added] Your experience might not yet be 'usable knowledge'

'Knowledge Asset Inventory' has been added to 'The Complete Guide to Life Planning in the AI Era'

Hello, this is Zett.

I have added Chapter 9 to the paid note
'The Complete Guide to Life Planning in the AI Era'

.

What I have added this time is

.

Just because you have long work experience doesn't mean you can explain it

You have been doing the same job for many years.

You have dealt with various problems.

You have taught juniors as well.

You have accumulated failures, improvements, and judgments.

Even so,

'What do you know?'

'What can you teach others?'

'How can you apply that experience to other jobs or side hustles?'

When asked these questions, you might find it difficult to answer well.

It is not that you lack experience.

What you have gained from experience has not yet been put into words.

In the AI era, people who can make judgments are needed more than those who just possess information.

You can ask AI about things you don't understand.

It can also summarize text for you.

It can also compare and organize information.

It can also provide general methods and options immediately.

That is precisely why what will become important from now on is not simply knowing information.

What to look at.

Which information to use.

Under which conditions not to use it.

What not to judge based on just one thing.

Where to leave things to the experts.

These are your judgment criteria.

AI increases the number of options available.

However, choosing which one to use in reality remains up to humans.

Knowledge assets are not just about qualifications and technical terminology.

When you hear 'knowledge assets,' you might think of certifications or specialized expertise.

However, that is not all you should really be reviewing.

Things you have explained to others many times.

Things you only understood after failing.

Things you see naturally, but beginners often overlook.

Things people ask you for advice about.

Things you have devised in your daily life.

Things you have acquired while navigating the changes of the times.

The more knowledge becomes second nature to you, the harder it is to recognize its value yourself.

However, if it can reduce someone else's confusion or failure, it is already a seed for a knowledge asset.

Just having experience is not enough to make it useful for the future.

'I have many years of experience'

The fact alone does not allow others to use that experience.

It also remains difficult for you to apply it to other jobs, content creation, or side hustles.

What is needed is not just remembering your experiences.

From there, you need to identify:

What kinds of things happened repeatedly?

What criteria did you use to make decisions?

Where are you likely to fail?

What should you check first?

To what extent can it be used by others?

is to extract these.

When experience changes from 'past history' to 'judgment that can be used next time', it becomes a knowledge asset.

Table of Contents for Chapter 9

• The difference between experience assets and knowledge assets

• What knowledge increases in value in the AI era?

• Finding knowledge hidden in your own common sense

• How to extract judgment criteria from experience

• How to divide roles between AI and humans

• Trust and responsibility when sharing knowledge externally

• Practical work to find knowledge assets

Specific classification methods, inventory processes, prompts to give to AI, and fill-in-the-blank exercises are included in the main text.

When you take an inventory of your knowledge assets, your perspective on side jobs also changes.

When thinking about side jobs, many people ask:

What should I sell?

What should I start to earn money?

Which fields will grow?

We start by thinking about that.

However, what is needed before that is

reviewing what you know

to be done.

If you cannot see your own knowledge, even if you consult an AI, it will only return general answers.

Conversely,

The things you have experienced.

The problems you have repeatedly seen.

The judgment criteria you have acquired.

The people you could be useful to.

Once you can put these into words, AI becomes a powerful adjutant that helps with organization and development.

Articles.

Checklists.

Courses.

Consultations.

Business improvements.

Training for juniors.

Community activities.

Knowledge assets can be developed into various forms.

However, there is no need to commercialize it from the start.

First, know what is inside you.

That is the starting point.

This chapter is for those who:

Have worked for a long time but cannot explain their strengths.

Feel they have no special knowledge.

Want to connect their experience to content creation or side jobs.

Only get general advice when consulting AI.

Want to find assets other than qualifications and job titles.

Want to pass on their experience from the second half of life to the next generation.

Chapter 9 is a chapter aimed at such people.

Do not let experience remain in the past

Experience assets are the history you have walked through.

Knowledge assets are the judgments extracted from that history that can be used again.

In the AI era, information itself will continue to increase.

That is precisely why,

What should you ask?

Where should you look?

Under what conditions should you make a judgment?

To what extent should you take responsibility?

These human-side insights are becoming increasingly important.

There may be untapped knowledge sleeping within things you have taken for granted.

In Chapter 9, I have organized methods to discover these and transform them into a form that can be used in the AI era.

If you have already purchased the paid note
'The Complete Guide to Life Planning in the AI Era'
, you can read this at no additional cost.

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