1
00:00:02,286 --> 00:00:06,986
This is the graph from MIT saying that the big benefit over there on the left, that's automation.
2
00:00:07,006 --> 00:00:09,476
So we're automating things, and then we don't need people.
3
00:00:09,546 --> 00:00:13,806
But really what it turned out in the last two years, the blue box is where the action is.
4
00:00:13,946 --> 00:00:16,936
Augmentation, helping humans to do better.
5
00:00:17,295.999 --> 00:00:22,386
Time savings, efficiency savings, more fun at work, less monkey work.
6
00:00:23,186 --> 00:00:24,456
That's really where the action is.
7
00:00:24,595.999 --> 00:00:28,336
So ultimately, it's about building human-centered AI.
8
00:00:28,616 --> 00:00:36,145.998
We have to build tools that do good, not just for the executives or the companies owning the AI, but for everybody.
9
00:00:36,505.997 --> 00:00:43,235.998
And this also means we probably have to think of a fund where the benefits of AI would go, a sharing fund.
10
00:00:43,865.998 --> 00:00:46,986
And you know what it means for us? It means this, this pyramid of work.
11
00:00:47,55.996 --> 00:00:49,546.001
For us, it's shifting and not coming back.
12
00:00:49,586.003 --> 00:00:53,15.999
Data information, intellectual knowledge, this is what we do now.
13
00:00:53,65.999 --> 00:00:53,935.998
This is what you do.
14
00:00:54,286 --> 00:00:59,355.996
You still need information and knowledge and data of course, but the AI can do a very good job there.
15
00:00:59,415.997 --> 00:01:03,555.997
Now we need to get good at this: quiet understanding, purpose, imagination.
16
00:01:03,645.997 --> 00:01:09,175.995
So really, as AI is doing all of these things, these are the obvious things, and we can use that.
17
00:01:09,565.995 --> 00:01:13,615.993
We also need to think about the other things, and this is really what we do at work.
18
00:01:13,655.992 --> 00:01:14,545.994
That's what we do now.
19
00:01:14,905.992 --> 00:01:17,825.994
Emotions, compassion, mystery, values.
20
00:01:18,225.991 --> 00:01:22,105.994
Bottom line is this, if you work like a robot, a robot will take your job.
21
00:01:22,225.991 --> 00:01:26,545.992
If you learn like a robot, think about that, you'll never have a job to begin with.
22
00:01:26,825.99 --> 00:01:28,535.993
You'll be working for the robot.
23
00:01:28,585.992 --> 00:01:31,826
We need to change our education system not to have more robots.
24
00:01:31,945.992 --> 00:01:37,715.997
It's hard to say how that will work because education is such a long-lasting thing that just carries on.
25
00:01:37,735.986 --> 00:01:45,535.997
But now we need people to be imagination-full, to have understanding of things, to actually build things, to combine human and machine intelligence.
00:00:02,286 --> 00:00:06,986
This is the graph from MIT saying that the big benefit over there on the left, that's automation.
2
00:00:07,006 --> 00:00:09,476
So we're automating things, and then we don't need people.
3
00:00:09,546 --> 00:00:13,806
But really what it turned out in the last two years, the blue box is where the action is.
4
00:00:13,946 --> 00:00:16,936
Augmentation, helping humans to do better.
5
00:00:17,295.999 --> 00:00:22,386
Time savings, efficiency savings, more fun at work, less monkey work.
6
00:00:23,186 --> 00:00:24,456
That's really where the action is.
7
00:00:24,595.999 --> 00:00:28,336
So ultimately, it's about building human-centered AI.
8
00:00:28,616 --> 00:00:36,145.998
We have to build tools that do good, not just for the executives or the companies owning the AI, but for everybody.
9
00:00:36,505.997 --> 00:00:43,235.998
And this also means we probably have to think of a fund where the benefits of AI would go, a sharing fund.
10
00:00:43,865.998 --> 00:00:46,986
And you know what it means for us? It means this, this pyramid of work.
11
00:00:47,55.996 --> 00:00:49,546.001
For us, it's shifting and not coming back.
12
00:00:49,586.003 --> 00:00:53,15.999
Data information, intellectual knowledge, this is what we do now.
13
00:00:53,65.999 --> 00:00:53,935.998
This is what you do.
14
00:00:54,286 --> 00:00:59,355.996
You still need information and knowledge and data of course, but the AI can do a very good job there.
15
00:00:59,415.997 --> 00:01:03,555.997
Now we need to get good at this: quiet understanding, purpose, imagination.
16
00:01:03,645.997 --> 00:01:09,175.995
So really, as AI is doing all of these things, these are the obvious things, and we can use that.
17
00:01:09,565.995 --> 00:01:13,615.993
We also need to think about the other things, and this is really what we do at work.
18
00:01:13,655.992 --> 00:01:14,545.994
That's what we do now.
19
00:01:14,905.992 --> 00:01:17,825.994
Emotions, compassion, mystery, values.
20
00:01:18,225.991 --> 00:01:22,105.994
Bottom line is this, if you work like a robot, a robot will take your job.
21
00:01:22,225.991 --> 00:01:26,545.992
If you learn like a robot, think about that, you'll never have a job to begin with.
22
00:01:26,825.99 --> 00:01:28,535.993
You'll be working for the robot.
23
00:01:28,585.992 --> 00:01:31,826
We need to change our education system not to have more robots.
24
00:01:31,945.992 --> 00:01:37,715.997
It's hard to say how that will work because education is such a long-lasting thing that just carries on.
25
00:01:37,735.986 --> 00:01:45,535.997
But now we need people to be imagination-full, to have understanding of things, to actually build things, to combine human and machine intelligence.
