【DIGEST】消える仕事・残る仕事／ビジネスパーソンが生き残るためのスキル／テクノロジーに仕事を代替される人の特徴／10年後消える仕事ランキングTOP5独自作成！
Published May 15, 2025
At a glance
Views
127,656
Likes
910
Comments
140
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
▼この動画のフルバージョンはこちら https://youtu.be/S4kgR5OmmSc ＜PIVOT DIGEST＞ これまで公開したコンテンツの1トピックを短時間で学べるダイジェスト動画。 ＜出演＞ 川村秀憲 人工知能研究者 / 北海道大学大学院情報科学研究院 教授 友村 晋 フューチャリスト（未来予測士） MC：竹内由恵＆国山ハセン #ランキング超分析 #AI #生成AI #仕事 #働き方 #スキル #国山ハセン #竹内由恵 #川村秀憲 #友村 晋 #PIVOT #pivot #PIVOT #ピボット
- Published
- May 15, 2025
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How 【DIGEST】消える仕事・残る仕事／ビジネスパーソンが生き残るためのスキル／テクノロジーに仕事を代替される人の特徴／10年後消える仕事ランキングTOP5独自作成！ is doing
It has 127K views in total. It ranks #11,228,499 among tracked YouTube videos by views.
Key facts about 【DIGEST】消える仕事・残る仕事／ビジネスパーソンが生き残るためのスキル／テクノロジーに仕事を代替される人の特徴／10年後消える仕事ランキングTOP5独自作成！
- Total views
- 127K
- Total likes
- 910
- Total comments
- 140
- Published
- May 15, 2025
- Global rank by views
- #11,228,499
Frequently asked questions
How many views does 【DIGEST】消える仕事・残る仕事／ビジネスパーソンが生き残るためのスキル／テクノロジーに仕事を代替される人の特徴／10年後消える仕事ランキングTOP5独自作成！ have?
【DIGEST】消える仕事・残る仕事／ビジネスパーソンが生き残るためのスキル／テクノロジーに仕事を代替される人の特徴／10年後消える仕事ランキングTOP5独自作成！ has 127,656 views, 910 likes and 140 comments, ranking #11,228,499 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.