1
00:00:14,360 --> 00:00:18,280
Hello, this is Eva and you're 
listening to the In Between Tech

2
00:00:18,280 --> 00:00:21,920
and Trust podcast. 
And in today's episode, we talk 

3
00:00:21,920 --> 00:00:25,640
about one of my favorite topics 
and that is the future. 

4
00:00:25,720 --> 00:00:29,200
And when we talk about the 
future, currently, there's so 

5
00:00:29,200 --> 00:00:32,040
much uncertainty. 
Like everyone that you ask, they

6
00:00:32,040 --> 00:00:36,360
say they cannot plan more than 
five to six months ahead because

7
00:00:36,360 --> 00:00:40,080
we find ourselves in this tech 
acceleration, like this 

8
00:00:40,080 --> 00:00:44,280
technological acceleration of 
times also with these rapid 

9
00:00:44,360 --> 00:00:47,720
innovation cycles and kind of 
information overload that 

10
00:00:47,720 --> 00:00:50,000
everyone just is a bit 
exhausted. 

11
00:00:50,040 --> 00:00:55,200
But at the same time, we do need
to find ways to plan and we also

12
00:00:55,200 --> 00:01:00,240
need to be able to trust into 
what we plan towards and to look

13
00:01:00,240 --> 00:01:02,560
into scenarios of how it 
actually looks like. 

14
00:01:02,640 --> 00:01:05,640
And for that, I have one of the 
best experts with me in 

15
00:01:05,640 --> 00:01:08,560
conversation, and that is 
Professor Doctor Heiko 

16
00:01:08,560 --> 00:01:11,960
Vandekart. 
And Heiko speaks from more than 

17
00:01:11,960 --> 00:01:16,320
20 years of experience as a 
professor of foresight and also 

18
00:01:16,320 --> 00:01:19,400
as a business practitioner. 
And he shares with us of what it

19
00:01:19,400 --> 00:01:24,160
means to apply a future's 
literacy of how we can also make

20
00:01:24,160 --> 00:01:29,080
use to plan ahead and use 
foresight planning for actual 

21
00:01:29,120 --> 00:01:33,160
business operations and how we 
as leaders can prepare for the 

22
00:01:33,160 --> 00:01:37,240
futures ahead by making up our 
minds and think about different 

23
00:01:37,240 --> 00:01:41,160
kinds of scenarios. 
He also proposes for specific 

24
00:01:41,160 --> 00:01:44,720
ones, but I leave them for you 
to explore throughout to the 

25
00:01:44,760 --> 00:01:51,040
upcoming conversation. 
Hello Haiku, and welcome to the 

26
00:01:51,040 --> 00:01:52,920
In Between Tech and Trust 
podcast. 

27
00:01:53,040 --> 00:01:55,120
Hi Eva, Many thanks for inviting
me. 

28
00:01:55,120 --> 00:01:57,520
Great to be here. 
It's so great to have you 

29
00:01:57,520 --> 00:02:00,520
because I was really looking 
forward to having the 

30
00:02:00,520 --> 00:02:04,760
conversation on the intersection
of foresight, technology and 

31
00:02:04,760 --> 00:02:08,120
human systems with you. 
You've been thinking about like 

32
00:02:08,120 --> 00:02:12,400
these contexts for many like 
years and you've also followed 

33
00:02:12,400 --> 00:02:15,240
the trends and ecosystems for 
quite some time. 

34
00:02:15,360 --> 00:02:20,160
And particularly when it comes 
to trust and like these areas, I

35
00:02:20,160 --> 00:02:24,160
would love your opinion on what 
has shifted most fundamentally 

36
00:02:24,160 --> 00:02:26,440
across the past couple of months
and years. 

37
00:02:26,720 --> 00:02:30,240
I'm really engaged in the topic 
of future for many years, for 

38
00:02:30,240 --> 00:02:34,560
for more than 20 years now. 
Every day I try to look into the

39
00:02:34,560 --> 00:02:37,920
future and do this in a very 
valid way, not only as a 

40
00:02:37,920 --> 00:02:41,840
professor in foresight, but also
as a business practitioner. 

41
00:02:41,920 --> 00:02:44,800
But it's always the core 
question is what might be the 

42
00:02:44,800 --> 00:02:48,440
next big thing, what are very 
valid scenarios to work with? 

43
00:02:48,640 --> 00:02:51,800
And in essence, it's always 
about making better decisions, 

44
00:02:51,800 --> 00:02:54,520
right? 
So this is what the foresight 

45
00:02:54,920 --> 00:02:58,400
profession is seeking for. 
And we've seen that there is a 

46
00:02:58,400 --> 00:03:00,840
professionalization among young 
people. 

47
00:03:00,880 --> 00:03:05,920
So I was able to train over 9000
people over the past 20 years 

48
00:03:05,920 --> 00:03:09,320
and educate them in scenario 
planning, scenario techniques. 

49
00:03:09,320 --> 00:03:12,160
But that's not the only 
technique today. 

50
00:03:12,280 --> 00:03:15,680
If we want to plan for the 
future, then we know actually 

51
00:03:15,680 --> 00:03:18,200
more than 40 different 
techniques. 

52
00:03:18,200 --> 00:03:20,160
Yeah. 
And most organizations or 

53
00:03:20,160 --> 00:03:23,800
individuals, they like to plan 
with three or four of them. 

54
00:03:23,880 --> 00:03:27,520
So it depends on the context. 
And as a researcher, I would say

55
00:03:27,680 --> 00:03:31,840
if you choose carefully and if 
you know the tools in place and 

56
00:03:31,840 --> 00:03:35,480
you can combine them, then this 
adds to the clarity for the 

57
00:03:35,480 --> 00:03:38,400
future and also gives you a 
better feeling and decision 

58
00:03:38,400 --> 00:03:40,520
making under in times of 
uncertainty. 

59
00:03:40,600 --> 00:03:45,160
So trust is always a central 
thing in in the scenario and the

60
00:03:45,160 --> 00:03:48,480
projects we do because each 
scenario exercise where you 

61
00:03:48,480 --> 00:03:50,880
simulate, you don't want to 
predict the future, right? 

62
00:03:50,880 --> 00:03:55,200
But where you simulate multiple 
futures in order to see how 

63
00:03:55,200 --> 00:03:58,960
different strategies and actions
play out in those scenarios, 

64
00:03:59,040 --> 00:04:01,520
right? 
It's really a very comprehensive

65
00:04:01,520 --> 00:04:06,560
and network thinking process. 
So we tend to often first focus 

66
00:04:06,560 --> 00:04:11,280
on technology, but there are 
other dimensions we have to look

67
00:04:11,280 --> 00:04:14,160
at equally. 
And this is the social dimension

68
00:04:14,160 --> 00:04:18,079
that ecologic ecology that I 
mentioned, legal aspects. 

69
00:04:18,079 --> 00:04:21,399
Yeah, we have to look into 
economic things for sure. 

70
00:04:21,399 --> 00:04:24,880
Human people, society. 
And you can have in the end, the

71
00:04:24,880 --> 00:04:28,960
best scenario analysis, but it's
always in the end the human 

72
00:04:28,960 --> 00:04:32,680
decision, right? 
So it's good craftsmanship, but 

73
00:04:32,880 --> 00:04:35,920
we have to look about the human 
decision process and the biases 

74
00:04:36,080 --> 00:04:38,640
as well. 
So this is what I'm doing in my 

75
00:04:38,640 --> 00:04:43,120
in my profession and I'm helping
I think people to, to enable 

76
00:04:43,120 --> 00:04:46,920
this organization to enable 
scenario planning, to foster 

77
00:04:46,920 --> 00:04:50,040
this scenario thinking and to 
professionalise. 

78
00:04:50,840 --> 00:04:53,920
And the interesting part of also
the polls that you just 

79
00:04:53,920 --> 00:04:58,360
highlighted is on the one hand, 
side decisions under clarity in 

80
00:04:58,360 --> 00:05:02,080
terms of also providing context,
and on the other side that the 

81
00:05:02,080 --> 00:05:07,000
context gets even more complex. 
How does that fit together? 

82
00:05:07,000 --> 00:05:12,560
And how do you also navigate as 
an leader, as an like also CEO, 

83
00:05:12,560 --> 00:05:16,400
for example, to bring that 
together to create clarity under

84
00:05:16,400 --> 00:05:21,080
times of complexity and to also 
communicate it to your teams and

85
00:05:21,080 --> 00:05:23,120
organizations for them to steer 
forward? 

86
00:05:23,240 --> 00:05:26,680
Yeah, that's, that's a good 
question because if you go back 

87
00:05:26,680 --> 00:05:30,400
to the 1970s, right, there's a 
very Seminole paper in in 

88
00:05:30,400 --> 00:05:34,000
research was published on 
environmental uncertainty and 

89
00:05:34,160 --> 00:05:36,600
the degree of uncertainty 
certainty we feel when we take 

90
00:05:36,600 --> 00:05:39,760
decisions. 
This is complexity plus the 

91
00:05:39,760 --> 00:05:43,400
degree of dynamics. 
Complexity means how many things

92
00:05:43,400 --> 00:05:48,320
are there out interacting that I
have to have on my radar and the

93
00:05:48,320 --> 00:05:51,000
dynamics, how fast things are 
changing, right. 

94
00:05:51,480 --> 00:05:54,920
And we can say with 
international division of labour

95
00:05:54,920 --> 00:05:58,400
and we have two big 
organizations, they have to 

96
00:05:58,400 --> 00:06:02,360
manage 304 hundred suppliers as 
a supplier base. 

97
00:06:02,360 --> 00:06:04,160
Yeah, this adds to complexity, 
right? 

98
00:06:04,200 --> 00:06:08,240
And if you look at the dynamics,
we see that with different 

99
00:06:08,240 --> 00:06:10,960
communication patterns, things 
are going faster. 

100
00:06:10,960 --> 00:06:14,440
The communication is faster, see
conversational AI, we will see 

101
00:06:14,440 --> 00:06:17,200
real time translation in the 
future much more. 

102
00:06:17,200 --> 00:06:20,160
So this adds to the dynamics. 
So we have a doubling effect, 

103
00:06:20,200 --> 00:06:24,040
right, in what we feel if if 
situations are uncertain and we 

104
00:06:24,040 --> 00:06:27,680
use acronyms, abbreviations for 
this the VUCA world from the 

105
00:06:27,680 --> 00:06:30,160
military. 
Yeah, this is volatile, 

106
00:06:30,160 --> 00:06:33,720
uncertain, complex or even 
Barney, which means more chaos, 

107
00:06:33,920 --> 00:06:38,200
brittle world. 
And this these abbreviations 

108
00:06:38,200 --> 00:06:41,200
describe the status we are in of
many people feel right. 

109
00:06:41,280 --> 00:06:44,320
However, you have to take into 
account that there's a 

110
00:06:44,320 --> 00:06:48,120
difference between the, the 
subjective, the perceived 

111
00:06:48,120 --> 00:06:51,200
uncertainty and the true 
environmental uncertainty, 

112
00:06:51,480 --> 00:06:54,600
because this is also largely 
shaped by the media, by the 

113
00:06:54,600 --> 00:06:57,320
perceptions we have by our 
direct environment. 

114
00:06:57,320 --> 00:07:01,640
And there are studies actually 
researching cation patterns and 

115
00:07:01,640 --> 00:07:05,880
examining the voice, the tone of
virus we use in in books and, 

116
00:07:05,880 --> 00:07:10,000
and and in newspapers, etcetera.
And over the past 50 to 60 

117
00:07:10,000 --> 00:07:14,840
years, there is an index value. 
We lost 25% in positive 

118
00:07:14,840 --> 00:07:19,120
communication. 
So you see that we tend to sell 

119
00:07:19,120 --> 00:07:23,120
the news and talk in much more 
negative way. 

120
00:07:23,600 --> 00:07:28,360
And from innovation literature 
and and research, we know if we 

121
00:07:28,360 --> 00:07:32,520
are in a good mood right, then 
there is a greater output and 

122
00:07:32,520 --> 00:07:34,680
there's a greater sense of 
innovation. 

123
00:07:34,680 --> 00:07:39,640
Yeah, we have up to 25% more 
more capable of innovation. 

124
00:07:39,640 --> 00:07:41,520
We are. 
So this is important. 

125
00:07:41,520 --> 00:07:44,120
If we think about the future, 
and if you want to shape the 

126
00:07:44,120 --> 00:07:48,400
future, then a positive mood 
accelerates. 

127
00:07:49,240 --> 00:07:54,320
But when we talk about trust 
today, according to your opinion

128
00:07:54,320 --> 00:07:57,480
and also according to your 
conversations that you have on 

129
00:07:57,720 --> 00:08:01,400
like the different futures that 
we're currently looking at, what

130
00:08:01,400 --> 00:08:04,600
has shifted most fundamentally 
when we talk about trust? 

131
00:08:05,640 --> 00:08:09,960
Yeah, so trust in in easy, but I
would I would say it's the 

132
00:08:09,960 --> 00:08:13,760
confidence in another, right and
the belief that holds our 

133
00:08:13,760 --> 00:08:17,640
relationships together. 
And we we always think that we 

134
00:08:17,640 --> 00:08:19,920
are we live in the most chaotic 
times. 

135
00:08:19,920 --> 00:08:22,000
Yeah. 
But if I like to use historical 

136
00:08:22,000 --> 00:08:26,200
analogies and this is one of the
40 techniques of futurists and 

137
00:08:26,200 --> 00:08:29,040
you see that there is all has 
always been propaganda, 

138
00:08:29,040 --> 00:08:31,560
misinformation. 
You have seen industrial 

139
00:08:31,560 --> 00:08:35,320
revolutions going on. 
So people always felt some 

140
00:08:35,640 --> 00:08:38,679
uncertainty and drastic 
situations. 

141
00:08:39,120 --> 00:08:42,720
But what has changed is of 
course the pace of innovation 

142
00:08:42,720 --> 00:08:47,440
and the progress if it comes to 
technology and also the virtual 

143
00:08:47,440 --> 00:08:50,840
worlds, right Internet and the 
spaces that have been created. 

144
00:08:50,840 --> 00:08:53,720
So these spaces, they have new 
rules. 

145
00:08:53,720 --> 00:08:57,360
We see in those new environments
their own incentives. 

146
00:08:57,400 --> 00:09:01,520
We have specific own physics and
it means that we act in in 

147
00:09:01,520 --> 00:09:05,360
spaces which, which are faster, 
more anonymous, We see they are 

148
00:09:05,360 --> 00:09:07,080
more scalable and less 
accountable. 

149
00:09:07,120 --> 00:09:10,120
And those virtual worlds in 
region. 

150
00:09:10,120 --> 00:09:13,680
And if we compare them with the 
analogical society in real life,

151
00:09:14,080 --> 00:09:19,040
yeah, they they really shape by 
shaped by anonymity. 

152
00:09:19,040 --> 00:09:23,040
So trust in our classic setting 
means proximity. 

153
00:09:23,520 --> 00:09:27,080
So you have shared norms and and
institutions. 

154
00:09:27,320 --> 00:09:28,960
And this is shifting. 
This has shifts. 

155
00:09:28,960 --> 00:09:32,800
So there are different spaces 
with new rules and they open up.

156
00:09:33,000 --> 00:09:35,400
I don't want to be only 
negative, right? 

157
00:09:35,400 --> 00:09:38,280
Technology isn't bad. 
Yeah, good or bad thing. 

158
00:09:38,520 --> 00:09:41,200
It's it can be used in either 
way, right? 

159
00:09:41,200 --> 00:09:45,880
Two sides of the matter. 
And those spaces, they can only 

160
00:09:46,120 --> 00:09:50,000
also enable us. 
They create participation, they 

161
00:09:50,000 --> 00:09:55,400
create network, they create the 
spaces for education all around 

162
00:09:55,400 --> 00:09:57,560
the world. 
You can have access to the best 

163
00:09:58,000 --> 00:10:01,400
education online and massive 
open online courses. 

164
00:10:01,640 --> 00:10:03,840
So two sides of the matter, 
right? 

165
00:10:04,240 --> 00:10:09,200
And in a more anonymous way, we 
have to counteract and find a 

166
00:10:09,200 --> 00:10:12,400
new mechanisms. 
And you talked about like those 

167
00:10:12,400 --> 00:10:16,360
spaces and the mechanisms. 
And in the work that I do and 

168
00:10:16,360 --> 00:10:20,400
the encounters that I have, I 
oftentimes realize that creating

169
00:10:20,400 --> 00:10:24,320
those spaces, and I call them 
the so-called in between states 

170
00:10:24,320 --> 00:10:27,120
of like what is mutually 
perceived as real and what is 

171
00:10:27,120 --> 00:10:31,120
also served as a basis to debate
the future. 

172
00:10:31,520 --> 00:10:34,160
It's free. 
It's become quite hard to do so,

173
00:10:34,160 --> 00:10:37,120
but not because we don't do it, 
but rather because we are 

174
00:10:37,560 --> 00:10:41,480
challenged to embrace different 
kinds of opinions and also find 

175
00:10:41,480 --> 00:10:44,000
mutual grounds. 
And if I would put out the 

176
00:10:44,000 --> 00:10:47,200
hypothesis, we're not just 
debating the future. 

177
00:10:47,320 --> 00:10:52,520
We need to have the spaces to 
agree on reality while embracing

178
00:10:52,520 --> 00:10:54,000
like different kinds of 
opinions. 

179
00:10:54,480 --> 00:10:57,480
Would you agree on that? 
This is a bold, very powerful 

180
00:10:57,480 --> 00:11:00,960
hypothesis, right? 
I wouldn't agree blindly, but I 

181
00:11:00,960 --> 00:11:04,320
have several things that come to
my mind when when I listen to 

182
00:11:04,320 --> 00:11:08,200
you and your hypothesis. 
A key point is that over the 

183
00:11:08,200 --> 00:11:12,760
past years, we've seen dramatic 
increase in the knowledge 

184
00:11:12,760 --> 00:11:17,840
explosion, right. 
So this is really at sometimes 

185
00:11:17,840 --> 00:11:21,360
it's overwhelming. 
Analysts predict that over the 

186
00:11:21,360 --> 00:11:26,960
next years until the year 2050, 
everything we know today only 

187
00:11:26,960 --> 00:11:29,000
makes 1% of the overall 
knowledge. 

188
00:11:29,000 --> 00:11:33,880
So in 2000 and 5099% of our 
knowledge might be new. 

189
00:11:34,080 --> 00:11:37,160
Yeah. 
And I've also recognized this 

190
00:11:37,160 --> 00:11:41,120
over the past years in the 
established trend databases and 

191
00:11:41,120 --> 00:11:44,520
my futurist channels. 
We are also organized the 

192
00:11:44,520 --> 00:11:46,720
networks, right, the futurists 
around the world. 

193
00:11:46,840 --> 00:11:53,000
And you see that 20 years ago I 
probably spotted 10 or 20 or 30 

194
00:11:53,000 --> 00:11:56,840
very original new things, 
innovation, nice cases per 

195
00:11:56,840 --> 00:12:01,520
month, right In my work which I 
used then also my scenario works

196
00:12:01,520 --> 00:12:05,440
scenario projects. 
And today there are 200 to 300 

197
00:12:05,600 --> 00:12:06,520
per month. 
Yeah. 

198
00:12:06,520 --> 00:12:11,320
So the, the trend databases are 
actually fluted by by insights 

199
00:12:11,320 --> 00:12:14,320
by cases, by crowdfunding 
platforms, etcetera. 

200
00:12:15,120 --> 00:12:19,600
And this yeah, this is a new 
situation, right, very drastic 

201
00:12:19,600 --> 00:12:25,080
in an innovation speed. 
So with all those massive 

202
00:12:25,080 --> 00:12:29,120
information and also in some 
cases misinformation, deep 

203
00:12:29,120 --> 00:12:32,840
fakes, fake news, etcetera, is 
it it has become harder to 

204
00:12:32,840 --> 00:12:35,320
create a shared common sense of 
reality. 

205
00:12:35,360 --> 00:12:39,960
And usually, if you plan for the
future, you would say used to 

206
00:12:39,960 --> 00:12:44,560
have quite stable status quo 
situations today as is. 

207
00:12:44,560 --> 00:12:48,080
And we were then able to project
into the future and draw the 

208
00:12:48,080 --> 00:12:51,200
different scenarios. 
But we've seen even with COVID 

209
00:12:51,200 --> 00:12:56,000
times that if the premises 
change fast from week to week in

210
00:12:56,000 --> 00:12:59,160
between months, then your 
scenarios are already obsolete. 

211
00:12:59,280 --> 00:13:02,920
And this is this is a new 
challenge in an, in a world of 

212
00:13:02,920 --> 00:13:05,800
accelerated pace. 
So University of Oxford and 

213
00:13:05,800 --> 00:13:09,120
others, they have started to use
actually technology as well in 

214
00:13:09,120 --> 00:13:13,320
the foresight discipline to make
the projects and to make the 

215
00:13:13,320 --> 00:13:16,280
tools and techniques more agile 
and frugal. 

216
00:13:16,640 --> 00:13:19,000
They call it even the frugal 
scenario planning. 

217
00:13:19,040 --> 00:13:21,160
Why? 
Because you, you have to adapt, 

218
00:13:21,640 --> 00:13:25,200
you have to find mechanisms to 
be more adaptive to, to the 

219
00:13:25,200 --> 00:13:28,760
changes that you see. 
So scenario work has never been 

220
00:13:28,960 --> 00:13:31,080
a solo trip. 
It is always a strategic 

221
00:13:31,280 --> 00:13:34,800
conversation. 
This is really, really important

222
00:13:34,800 --> 00:13:37,080
to consider. 
And if you see the history of 

223
00:13:37,240 --> 00:13:41,480
foresight, of future planning, 
scenario planning over the past 

224
00:13:41,480 --> 00:13:46,600
decades and from starting from 
the 70s, this was always about 

225
00:13:47,120 --> 00:13:51,320
plurality and what the different
perspectives and the views of 

226
00:13:51,320 --> 00:13:53,280
the future. 
So we say we have different 

227
00:13:53,280 --> 00:13:56,080
thinking heads, right? 
As foresight professionals, you 

228
00:13:56,080 --> 00:14:00,440
not only look at the probable 
future, but there is also the 

229
00:14:00,440 --> 00:14:02,880
normative scenario, the desired 
future. 

230
00:14:02,880 --> 00:14:04,640
So the target, where do I want 
to be? 

231
00:14:04,640 --> 00:14:07,680
What is my, my North star, my 
desired future? 

232
00:14:07,680 --> 00:14:12,160
And there's also the space of 
opportunities, preferable 

233
00:14:12,160 --> 00:14:14,920
futures. 
You have the surprising future 

234
00:14:14,920 --> 00:14:18,920
and this has become a major part
of today's foresight 

235
00:14:19,120 --> 00:14:22,400
professionals also to look at 
all those different future 

236
00:14:22,400 --> 00:14:24,600
perspectives. 
So surprising futures, white 

237
00:14:24,600 --> 00:14:27,360
cards, black Swans, surprising 
events. 

238
00:14:27,560 --> 00:14:29,680
This takes a lot of care today 
as well. 

239
00:14:30,600 --> 00:14:34,160
And the interesting part that in
your work you not only look at 

240
00:14:34,160 --> 00:14:37,160
those like different kinds of 
scenarios and like also 

241
00:14:37,160 --> 00:14:40,280
different kinds of routes that 
you can take, but you also aim 

242
00:14:40,280 --> 00:14:42,600
and collaborate with 
organizations to build 

243
00:14:42,600 --> 00:14:46,480
resilience. 
Now we live in so-called times 

244
00:14:46,480 --> 00:14:50,200
of tech acceleration. 
So technology is an essence of 

245
00:14:50,200 --> 00:14:53,320
your work as well. 
On the one hand side, how do you

246
00:14:53,480 --> 00:14:57,320
build resilience with those 
organizations and what has 

247
00:14:57,320 --> 00:15:01,120
changed through tech? 
Well, resilience means that you 

248
00:15:01,120 --> 00:15:06,360
learn from crisis, from drastic 
situations you you were in and 

249
00:15:06,720 --> 00:15:09,240
that you become stronger 
afterwards, right? 

250
00:15:09,240 --> 00:15:13,360
And this is, if important, yeah.
The whole discipline of 

251
00:15:13,360 --> 00:15:17,560
foresight actually, yeah, adds 
to this, contributes to this. 

252
00:15:17,840 --> 00:15:21,560
As we've just said, there is 
uncertainty usually if you use 

253
00:15:21,560 --> 00:15:24,320
historic data and you 
extrapolate it, right. 

254
00:15:24,480 --> 00:15:26,360
And in many cases, we still do 
this. 

255
00:15:26,640 --> 00:15:30,120
But it's dangerous to do this if
you live in turbulent and 

256
00:15:30,120 --> 00:15:34,400
disruptive times because future 
history shows that in most cases

257
00:15:34,400 --> 00:15:37,320
it came, it wasn't different 
than the future. 

258
00:15:37,320 --> 00:15:40,000
And disruption usually comes 
from all the other industries, 

259
00:15:40,000 --> 00:15:42,280
not the industry I'm, I'm 
sitting in. 

260
00:15:42,280 --> 00:15:46,320
So the scenarios and, and the 
foresight discipline means to 

261
00:15:46,320 --> 00:15:49,600
prepare better for future 
incidents, for things that 

262
00:15:49,600 --> 00:15:53,040
could, that might happen. 
And this adds to the flexibility

263
00:15:53,040 --> 00:15:55,360
of your organization. 
You can react faster. 

264
00:15:55,680 --> 00:15:58,880
You could even if you want to be
a front runner, you could get 

265
00:15:58,960 --> 00:16:02,200
into alliances and you start 
shaping the markets. 

266
00:16:02,200 --> 00:16:07,240
So this is very, very powerful 
and therefore the whole thinking

267
00:16:07,240 --> 00:16:11,240
of futures, futures planning 
that's to to make an 

268
00:16:11,240 --> 00:16:14,440
organization in the end more 
future robust or future ready, 

269
00:16:14,560 --> 00:16:16,240
right. 
That's to your future, future 

270
00:16:16,240 --> 00:16:19,000
preparedness. 
And we see there's been 

271
00:16:19,360 --> 00:16:23,520
empirical research of colleague 
on what makes it really a 

272
00:16:23,520 --> 00:16:25,960
sustainable organization. 
Yeah, a future proof 

273
00:16:25,960 --> 00:16:28,200
organization. 
And from an academic 

274
00:16:28,200 --> 00:16:32,640
perspective, you would compare 
organizations largely investing 

275
00:16:32,640 --> 00:16:35,800
in into foresight with 
organizations that don't. 

276
00:16:35,880 --> 00:16:38,480
And you would compare 
organizations that haven't done 

277
00:16:38,480 --> 00:16:43,240
so with their status later when 
they started to invest into 

278
00:16:43,240 --> 00:16:45,040
foresight, right? 
These are the classic 

279
00:16:45,120 --> 00:16:48,560
comparisons you do in a longer 
longitudinal study. 

280
00:16:48,640 --> 00:16:50,600
And this has been done over the 
past 10 years. 

281
00:16:50,600 --> 00:16:56,680
And we can now empirically prove
that if you invest into into 

282
00:16:56,680 --> 00:16:59,720
professionalization of your 
planning practices right, then 

283
00:16:59,720 --> 00:17:02,840
this adds to your performance, 
to your growth, etc. 

284
00:17:02,840 --> 00:17:06,200
So it has a clear impact on your
organizational performance. 

285
00:17:06,800 --> 00:17:10,040
And if you now trim that down a 
bit and if you would make the 

286
00:17:10,040 --> 00:17:13,400
profession of a futurist more 
tangible, could you share with 

287
00:17:13,400 --> 00:17:16,920
me and the audience what you're 
currently working on and what 

288
00:17:16,920 --> 00:17:21,800
also your expectations are 
regarding tech and intelligence?

289
00:17:21,800 --> 00:17:26,319
And maybe if you may and want to
also provide a glimpse into the 

290
00:17:26,319 --> 00:17:29,080
future for you think the next 
big thing's going to be? 

291
00:17:30,480 --> 00:17:34,640
This is a this is a good one 
what keeps me awake right night.

292
00:17:34,960 --> 00:17:38,800
So this is a core thing to 
structure all the things I stand

293
00:17:38,800 --> 00:17:41,760
across every day. 
There are so many reports out 

294
00:17:41,760 --> 00:17:46,160
there and very good ones. 
You might have seen that World 

295
00:17:46,160 --> 00:17:49,240
Economic Forum two years ago 
they founded the Global 

296
00:17:49,240 --> 00:17:52,120
Foresight Network. 
I'm also participating in and 

297
00:17:52,120 --> 00:17:56,520
UNESCO has the futures literacy 
chairs at university. 

298
00:17:56,520 --> 00:18:00,880
So a lot of studies and very 
helpful reports are being 

299
00:18:00,880 --> 00:18:04,200
published and they all have 
certain assumptions, right, and 

300
00:18:04,200 --> 00:18:07,960
network thinking and they come 
up with single point forecast 

301
00:18:07,960 --> 00:18:10,320
estimates. 
When is something mature? 

302
00:18:10,680 --> 00:18:13,200
What about adoption rates? 
And the timing is also the 

303
00:18:13,200 --> 00:18:17,680
critical one. 
So if you see put them, and I've

304
00:18:17,680 --> 00:18:21,520
done this, put them on on a 
timeline, you can see that 

305
00:18:22,040 --> 00:18:25,840
there's a lot of discussion 
centering around when AI will 

306
00:18:25,960 --> 00:18:29,200
reach human level, right? 
Artificial general intelligence,

307
00:18:29,800 --> 00:18:32,880
etcetera. 
Some proclaim this is in the 

308
00:18:32,880 --> 00:18:36,400
year 2045, Others state this is 
happening earlier. 

309
00:18:36,400 --> 00:18:38,680
It's it has also cultural 
component. 

310
00:18:39,120 --> 00:18:44,200
If you ask this in Asia, they 
usually tend to see this earlier

311
00:18:44,480 --> 00:18:48,320
than 2045. 
N Americans have proven in in 

312
00:18:48,320 --> 00:18:53,320
most recent research they they 
expect this to happen later. 

313
00:18:53,320 --> 00:18:57,160
If you ask very visionary 
people, they would even say next

314
00:18:57,160 --> 00:19:02,200
week or next year, yeah. 
So this there's also cultural, 

315
00:19:02,200 --> 00:19:04,880
normal cultural thing that we 
have to consider. 

316
00:19:04,880 --> 00:19:09,680
But I think the whole thing of 
artificial intelligence and the 

317
00:19:09,680 --> 00:19:13,640
work with agent and agent 
ecosystems, yeah, this is 

318
00:19:13,640 --> 00:19:15,400
accelerating very fast. 
Yeah. 

319
00:19:15,400 --> 00:19:19,040
So I, I could even see that in 
the next months, we would 

320
00:19:19,040 --> 00:19:22,680
probably eliminate the out of 
office mail and have our, our 

321
00:19:22,680 --> 00:19:27,280
own personal AI copy responding.
If somebody wants something, he 

322
00:19:27,280 --> 00:19:33,440
or she can just speak to my 
personal AI copy and my avatar 

323
00:19:33,440 --> 00:19:37,120
might be able to answer already 
some of the superficial 

324
00:19:37,160 --> 00:19:40,720
questions. 
And I'm very frequently asked, 

325
00:19:40,720 --> 00:19:42,920
Haiko, you're doing this every 
day, right? 

326
00:19:43,200 --> 00:19:46,520
So from your perspective, what's
the next big thing, right? 

327
00:19:46,880 --> 00:19:50,200
And over the past 10 years and 
even more, we've seen the smart 

328
00:19:50,200 --> 00:19:54,040
classic smartphone, right? 
And the question is, are we now 

329
00:19:54,040 --> 00:19:57,160
entering an era of augmented 
computing? 

330
00:19:58,200 --> 00:20:01,160
I think so. 
So there's a lot of debates 

331
00:20:01,160 --> 00:20:03,440
going on about smart glasses, 
right? 

332
00:20:03,800 --> 00:20:07,760
So they might even be from their
weight, 100 grams. 

333
00:20:07,760 --> 00:20:12,960
So quite light in the future. 
And I really see a renaissance 

334
00:20:12,960 --> 00:20:14,680
of city centres. 
Why? 

335
00:20:14,680 --> 00:20:17,760
Because if I'm wearing in the 
future, if I'm wearing smart 

336
00:20:17,760 --> 00:20:22,480
glasses, the city, the city 
centre looks every day, every 

337
00:20:22,760 --> 00:20:26,640
hour, it looks differently. 
So you have all those promotions

338
00:20:26,640 --> 00:20:29,120
then going on and you have a 
second layer, yeah, from 

339
00:20:29,120 --> 00:20:32,640
infrastructure and notifications
and things popping up in front 

340
00:20:32,640 --> 00:20:35,280
of you. 
So I believe that this is will 

341
00:20:35,280 --> 00:20:39,680
be a game changer and how we how
we go through environments and 

342
00:20:39,680 --> 00:20:43,160
experience them. 
There were also came across 

343
00:20:43,160 --> 00:20:47,960
several cases of ADN solutions 
with AI in science. 

344
00:20:48,440 --> 00:20:52,120
So this will be a tremendous 
push artificial intelligence for

345
00:20:52,120 --> 00:20:56,520
for how we understand science 
and how we innovate from physics

346
00:20:56,760 --> 00:21:00,640
experiments, we we can see that 
they are the experimental is 

347
00:21:00,640 --> 00:21:05,400
graphical, yeah, but we cannot 
explain the outcome how the how 

348
00:21:05,400 --> 00:21:08,640
this this worked. 
So they do now reverse 

349
00:21:08,640 --> 00:21:12,280
engineering in order to find an 
explanation for the phenomenons 

350
00:21:12,280 --> 00:21:15,560
going on there. 
And this, this might be a true 

351
00:21:15,560 --> 00:21:20,040
case in the future that there 
are certain innovations explain 

352
00:21:20,560 --> 00:21:25,280
things happening, working in 
science which at once we cannot 

353
00:21:25,280 --> 00:21:27,880
explain, right. 
So I I think this is also a big,

354
00:21:28,120 --> 00:21:31,840
big change for science. 
And one of the big changes that 

355
00:21:31,840 --> 00:21:37,360
is in one of the reports that 
you co-authored, you describe a 

356
00:21:37,760 --> 00:21:41,600
sequence so-called fake news, 
fake reality, fake futures. 

357
00:21:41,640 --> 00:21:44,600
Can you explain that, Shane? 
Because it sounds quite drastic 

358
00:21:44,600 --> 00:21:47,960
and at the same time it also 
represents something that's much

359
00:21:48,160 --> 00:21:52,760
like much deeper as a societal 
context and also in the way of 

360
00:21:52,760 --> 00:21:55,760
how we form reality overall in 
essence. 

361
00:21:55,840 --> 00:21:59,120
Yeah. 
So this is a very specific 

362
00:21:59,240 --> 00:22:01,480
report. 
Yeah, it's called fake futures 

363
00:22:02,160 --> 00:22:08,680
and we really looked at fake 
news, the digital identities and

364
00:22:08,680 --> 00:22:11,400
the tech space. 
Yeah, virtual words and how they

365
00:22:11,400 --> 00:22:14,320
change our interaction, the 
positive things, but also the 

366
00:22:14,320 --> 00:22:15,160
challenges. 
Yeah. 

367
00:22:15,160 --> 00:22:18,320
And there there are certain 
examples for this phenomenon you

368
00:22:18,320 --> 00:22:22,040
you are describing. 
It's like a chain from fake 

369
00:22:22,040 --> 00:22:25,840
news, right? 
There is some facts are being 

370
00:22:25,840 --> 00:22:28,680
created. 
It can be something like a 

371
00:22:28,680 --> 00:22:34,760
manipulated reporting or quite 
an unrealistic beauty standard 

372
00:22:34,760 --> 00:22:38,360
in social media. 
And this becomes somehow a fake 

373
00:22:38,440 --> 00:22:39,640
reality. 
Why? 

374
00:22:39,640 --> 00:22:44,120
Because it, it makes us believe 
that this has to be the norm and

375
00:22:44,120 --> 00:22:46,200
we have to work towards this, 
right? 

376
00:22:46,360 --> 00:22:51,600
We have to change our appear, 
our our look and feel and to 

377
00:22:51,600 --> 00:22:55,000
respond to those images. 
And then this fake reality 

378
00:22:55,000 --> 00:23:00,480
becomes finally a fake future. 
So it's a paradox because fake 

379
00:23:00,480 --> 00:23:04,600
inputs don't stay fake, they 
solidify in the end in real 

380
00:23:04,600 --> 00:23:07,000
world outcomes. 
And to stick with this beauty 

381
00:23:07,000 --> 00:23:11,760
example, in social media, you 
see that then there are virtual 

382
00:23:11,760 --> 00:23:18,080
beauty full images and we have 
the virtual influencers. 

383
00:23:18,080 --> 00:23:20,920
Yeah. 
They create then a space or a 

384
00:23:20,920 --> 00:23:24,320
certain reality which 
permanently sticks to those 

385
00:23:24,440 --> 00:23:28,560
images which had initially been 
created as a manipulated word. 

386
00:23:28,880 --> 00:23:31,640
So this is the chain we we were 
describing there. 

387
00:23:31,640 --> 00:23:35,920
And this was also the point from
where we entered our scenario 

388
00:23:36,320 --> 00:23:42,280
planning to develop scenarios of
fake futures and do this along 

389
00:23:42,280 --> 00:23:45,120
different dimensions. 
Because if you, that's a very 

390
00:23:45,120 --> 00:23:48,600
classic scenario approach where 
you determine two key 

391
00:23:48,600 --> 00:23:51,760
uncertainties, right? 
And with those key 

392
00:23:51,760 --> 00:23:53,800
uncertainties, you set up a 
plot. 

393
00:23:53,800 --> 00:23:56,600
Yeah, a scenario canvas. 
And this is like a scatter plot 

394
00:23:56,600 --> 00:24:00,200
or a portfolio. 
And in our case, we said for the

395
00:24:00,200 --> 00:24:04,160
future, it's important. 
There might be an extreme future

396
00:24:04,320 --> 00:24:07,680
where we have a high trust in 
technology and society and the 

397
00:24:07,680 --> 00:24:11,120
state. 
Or on the opposite side on this 

398
00:24:11,120 --> 00:24:15,400
axis, there might be a strong 
mistrust in those things, right?

399
00:24:15,720 --> 00:24:19,200
So we made this one of the key 
uncertainty axis, and the other 

400
00:24:19,200 --> 00:24:21,920
one is the perception of the 
world. 

401
00:24:21,960 --> 00:24:27,400
There might be 1 extreme poet 
which describes the only truth. 

402
00:24:27,400 --> 00:24:31,360
There's only one reality. 
Or we might end up in in a world

403
00:24:31,360 --> 00:24:33,360
where we say it's all fake, 
right? 

404
00:24:33,360 --> 00:24:37,320
For certain reasons. 
And if you combine now those 

405
00:24:37,320 --> 00:24:42,320
extreme developments, right, you
end up in 4 scenario quadrants. 

406
00:24:42,320 --> 00:24:46,920
So you combine a word of one 
reality and the one, only one 

407
00:24:46,920 --> 00:24:50,920
truth with trust in technology, 
the state and society. 

408
00:24:50,960 --> 00:24:55,440
Or you combine it with a fake 
word and a mistrust, for 

409
00:24:55,440 --> 00:24:57,880
example, and we ended up in 4 
scenarios. 

410
00:24:57,880 --> 00:25:01,800
So it's a very iterative 
process, this really strong 

411
00:25:01,800 --> 00:25:05,040
process of research, but also a 
lot of interviewing, refinement 

412
00:25:05,040 --> 00:25:10,320
and quality criterion is that in
the end, your scenario as you 

413
00:25:10,320 --> 00:25:13,760
describe, and each scenario 
might even take one A4 page, 

414
00:25:13,760 --> 00:25:16,320
right? 
So it's like a script where you 

415
00:25:16,320 --> 00:25:20,400
read into a story describing the
future as if you were looking 

416
00:25:20,400 --> 00:25:24,920
back from this future. 
Yeah, this has to be very 

417
00:25:24,920 --> 00:25:28,000
consistent and plausible, right?
Because if there's something not

418
00:25:28,000 --> 00:25:32,000
consistent then you you spot 
this and it doesn't make sense. 

419
00:25:32,520 --> 00:25:36,600
And you've now touched upon like
trust and mistrust scenarios. 

420
00:25:36,600 --> 00:25:40,160
And I'm always wondering what 
happens to trust leadership and 

421
00:25:40,160 --> 00:25:43,960
particularly also democracy, 
because I think democratic 

422
00:25:43,960 --> 00:25:48,720
values need to be guarded and 
also enabled through technology.

423
00:25:48,720 --> 00:25:53,440
However, technology accelerates 
the creation of parallel truths 

424
00:25:53,440 --> 00:25:57,560
and also of the opportunity that
they don't converge anymore. 

425
00:25:57,840 --> 00:26:00,320
How do you see that? 
And was that part of your 

426
00:26:00,320 --> 00:26:04,960
navigation of those future like 
predictions, derivations, future

427
00:26:04,960 --> 00:26:07,800
outlooks? 
Yeah, it's as we discussed 

428
00:26:07,920 --> 00:26:10,800
before, the technology itself 
isn't good or bad. 

429
00:26:10,800 --> 00:26:15,880
It is rather an amplifier, an 
amplifier of of the situations 

430
00:26:15,880 --> 00:26:19,640
and we are experiencing. 
So I think we we are living in a

431
00:26:19,640 --> 00:26:24,920
very powerful time where we can 
enable a lot of good things with

432
00:26:25,400 --> 00:26:29,640
digital technologies. 
So this sharpens collective 

433
00:26:29,840 --> 00:26:33,880
understanding, can strengthen 
the participation, inclusion of 

434
00:26:33,880 --> 00:26:37,480
people and we can build on new 
trust architectures, right. 

435
00:26:37,600 --> 00:26:42,560
On the other side, it might also
be a challenge right, to 

436
00:26:42,560 --> 00:26:44,680
maintain trust in such 
situations. 

437
00:26:44,680 --> 00:26:50,080
If misinformation is spreading 
at an unprecedented pace, these 

438
00:26:50,080 --> 00:26:53,320
are quite hard times. 
And it has two components, 

439
00:26:53,320 --> 00:26:55,440
right? 
Always see the historical 

440
00:26:55,440 --> 00:26:58,640
analogy from viruses and virus 
scanners. 

441
00:26:58,800 --> 00:27:02,200
And it's a race. 
It was a race already 10 years 

442
00:27:02,200 --> 00:27:06,120
and 15 years ago with technology
and we experience now this now 

443
00:27:06,120 --> 00:27:07,840
with fakes and deepfakes. 
Yeah. 

444
00:27:07,840 --> 00:27:11,320
So there's a lot Everyday there 
are new applications, new apps, 

445
00:27:11,320 --> 00:27:16,600
technology being in place to 
spot deepfakes and fraud and to 

446
00:27:16,600 --> 00:27:18,640
avoid this and to protect you, 
right. 

447
00:27:18,920 --> 00:27:23,040
So take for good against tech 
which is used in a in a negative

448
00:27:23,040 --> 00:27:25,760
way. 
This is the one situation using 

449
00:27:25,760 --> 00:27:30,280
tech yeah, to to counterfeit. 
On the other side, it's the 

450
00:27:30,280 --> 00:27:32,360
human aspect. 
So there has to be an 

451
00:27:32,360 --> 00:27:35,240
immunisation of us as human 
beings as well. 

452
00:27:35,720 --> 00:27:38,920
We have to think, we have to 
critically reflect. 

453
00:27:38,920 --> 00:27:42,680
We don't have must not be very 
naive in applications and things

454
00:27:42,680 --> 00:27:46,440
we do right. 
And this cognitive immunisation 

455
00:27:46,520 --> 00:27:50,200
is critical thinking. 
It's really important in ongoing

456
00:27:50,640 --> 00:27:55,320
technological times. 
So it's, it's in any, any of the

457
00:27:55,400 --> 00:27:59,280
studies and reports coming out 
on skills, on future skills. 

458
00:27:59,280 --> 00:28:02,120
This is usually one of the top 
three right critical thinking. 

459
00:28:03,000 --> 00:28:07,040
And the interesting part is, and
we also talked about that in our

460
00:28:07,040 --> 00:28:13,200
pre conversation that we tend to
negatify futures or we also tend

461
00:28:13,200 --> 00:28:17,960
to look into the way of how 
those scenarios could be the 

462
00:28:17,960 --> 00:28:22,520
absolute like hard cut, also 
like negative impact. 

463
00:28:22,840 --> 00:28:26,520
And if you now talk about the 
way that we frame it, if you 

464
00:28:26,520 --> 00:28:30,480
talk about positive outlooks, 
why is it so hard for us to 

465
00:28:30,480 --> 00:28:33,560
infiltrate that into the 
movement and also see the 

466
00:28:33,560 --> 00:28:38,320
opportunities and the change and
we'll also modify futures in 

467
00:28:38,320 --> 00:28:40,040
that regard? 
Yeah. 

468
00:28:40,560 --> 00:28:43,120
So first of all, it's, it 
depends on the context and the 

469
00:28:43,120 --> 00:28:45,360
situation we we are in. 
If you are. 

470
00:28:45,400 --> 00:28:47,760
Actually, I was just, you know, 
overstating. 

471
00:28:47,800 --> 00:28:51,200
Yeah, yeah. 
If you're in crisis times, then 

472
00:28:51,200 --> 00:28:54,160
this also effects you that you 
think more negatively. 

473
00:28:54,200 --> 00:28:56,720
Yeah. 
And some psychologists even say 

474
00:28:56,720 --> 00:29:00,080
the way you are looking into the
future in general is a really a 

475
00:29:00,080 --> 00:29:03,280
personal subjective thing. 
And it's like a personality 

476
00:29:03,280 --> 00:29:04,120
trait. 
Yeah. 

477
00:29:04,120 --> 00:29:07,280
So you are tend to be a 
visionary person, being more an 

478
00:29:07,280 --> 00:29:11,360
optimist or others seem to more 
be more sceptical. 

479
00:29:11,360 --> 00:29:15,080
And then there are certain types
who want to shape and to do 

480
00:29:15,080 --> 00:29:17,680
something now, right. 
So this is can be like a 

481
00:29:17,800 --> 00:29:20,240
personality thing, a personality
trait. 

482
00:29:20,800 --> 00:29:24,920
There is been foresight science,
there's a research strand and 

483
00:29:24,920 --> 00:29:26,920
it's called science fiction 
prototyping. 

484
00:29:27,440 --> 00:29:30,880
And some tech firms, they have 
even institutionalized this as a

485
00:29:30,880 --> 00:29:34,480
tool, as a technique, right? 
So they use artifacts from 

486
00:29:34,480 --> 00:29:39,120
novels and from science fiction 
movies and literature and use 

487
00:29:39,120 --> 00:29:43,360
this as a very strong trigger to
innovate and to foster tech, 

488
00:29:43,480 --> 00:29:46,280
tech innovation. 
So we've seen from Star Trek the

489
00:29:46,280 --> 00:29:49,480
communicator. 
Yeah, with a strong image and 

490
00:29:49,480 --> 00:29:52,840
analogy to to the smartphone. 
We have seen the replicator, 

491
00:29:52,840 --> 00:29:55,720
which you can see in 3DS 
printing today. 

492
00:29:55,760 --> 00:29:59,960
The jetpack from NASA used to be
on a comic cover. 

493
00:30:00,200 --> 00:30:02,240
Night Rider with David 
Hesselhoff. 

494
00:30:02,240 --> 00:30:06,000
Yeah, it's autonomous driving 
and conversational AI 

495
00:30:06,000 --> 00:30:08,920
communication. 
There are many of those examples

496
00:30:09,120 --> 00:30:11,760
we tend to over estimate. 
Yeah. 

497
00:30:11,760 --> 00:30:15,400
So this might be a bias. 
If we, if we look at technology,

498
00:30:15,400 --> 00:30:18,680
we many cases think this is 
going to happen the next two 

499
00:30:18,680 --> 00:30:21,440
years. 
But we see lobbyism against it. 

500
00:30:21,640 --> 00:30:25,000
And in many, many cases, if 
something becomes then a mass 

501
00:30:25,000 --> 00:30:26,760
technology, it takes time, 
right? 

502
00:30:26,760 --> 00:30:31,040
Sometimes more time than we at 
first, Lance, think it takes, 

503
00:30:31,160 --> 00:30:33,360
right. 
And Terminator and all those 

504
00:30:33,360 --> 00:30:35,880
science fiction movies. 
Yeah, we have those images in 

505
00:30:35,880 --> 00:30:40,720
our head and we tend then to 
project those futures as well. 

506
00:30:41,320 --> 00:30:43,440
This is why. 
And I know we come now to the 

507
00:30:43,440 --> 00:30:46,200
end of our episode, but I do 
have like 1 pressing question 

508
00:30:46,200 --> 00:30:49,200
that I definitely want to ask. 
And it's about the four 

509
00:30:49,200 --> 00:30:53,480
scenarios that you stretched and
the mechanism that you just also

510
00:30:53,480 --> 00:30:56,720
provided to us. 
Because I think it's so valuable

511
00:30:56,720 --> 00:31:01,960
to see if you use that like 
mechanism or also the tool in 

512
00:31:01,960 --> 00:31:05,080
future thinking yourself. 
And was that part of like, 

513
00:31:05,280 --> 00:31:09,760
deriving the four scenarios of 
Age of Enlightenment, Infinite 

514
00:31:09,760 --> 00:31:13,480
History, Truth Machine, and the 
end of the story yourselves, or 

515
00:31:14,320 --> 00:31:17,760
how did you approach it? 
Well, as I said, you always 

516
00:31:17,760 --> 00:31:20,840
start with two key uncertainties
about the future. 

517
00:31:20,840 --> 00:31:24,280
Then you define the extreme 
outcomes that they might have in

518
00:31:24,280 --> 00:31:26,600
the future. 
You think black or white. 

519
00:31:26,680 --> 00:31:31,040
And then you combine those 
extreme outcomes into plausible 

520
00:31:31,040 --> 00:31:33,680
and consistent scenarios. 
And as you said, one of the 

521
00:31:33,680 --> 00:31:35,680
scenarios was the Age of 
Enlightenment. 

522
00:31:35,720 --> 00:31:38,280
Why? 
Because then we combine the one 

523
00:31:38,280 --> 00:31:41,640
truth, there's only one truth, 
together with trust in 

524
00:31:41,640 --> 00:31:44,880
technology. 
And just imagine we we have 

525
00:31:45,280 --> 00:31:48,280
device ecosystems on us, on our 
body. 

526
00:31:48,280 --> 00:31:52,600
Yeah, the smart watch, we might 
have a necklace with sensors and

527
00:31:52,600 --> 00:31:56,120
a live stream at with the sense 
of word models and physical AI 

528
00:31:56,480 --> 00:31:59,440
into the machine. 
And then somehow an AI 

529
00:31:59,440 --> 00:32:04,000
governance has the potential 
right to take all those snippets

530
00:32:04,000 --> 00:32:07,680
and pieces from the billions of 
people and combine this into the

531
00:32:07,680 --> 00:32:10,360
one single truth. 
You see the same situation from 

532
00:32:10,360 --> 00:32:13,120
multiple angles. 
So this is the one scenario. 

533
00:32:13,120 --> 00:32:15,000
Then another one is infinite 
history. 

534
00:32:15,320 --> 00:32:18,320
It doesn't matter for for us. 
So maybe young people. 

535
00:32:18,320 --> 00:32:22,800
Then whether this is is a fake 
reality or whether this is the 

536
00:32:22,800 --> 00:32:26,400
true reality, we could see 
metaverse words emerging, 

537
00:32:26,400 --> 00:32:29,160
exploding. 
Billions of new words are being 

538
00:32:29,160 --> 00:32:31,480
created. 
Well, this is it fulfills our 

539
00:32:31,480 --> 00:32:35,560
desires in those virtual worlds,
we can imagine and and see what 

540
00:32:35,560 --> 00:32:38,560
we what we like to experience. 
And then there might be the 

541
00:32:38,560 --> 00:32:41,400
third scenario word which 
describes something different. 

542
00:32:41,400 --> 00:32:44,960
There is a very absolute control
of government or media 

543
00:32:44,960 --> 00:32:47,280
monopolies. 
So you have the one single 

544
00:32:47,280 --> 00:32:49,560
truth. 
And this comes from this such a 

545
00:32:49,560 --> 00:32:52,840
monopoly, right? 
And it's about an influencing 

546
00:32:52,840 --> 00:32:55,920
principle. 
So it's a very uniform world 

547
00:32:55,920 --> 00:33:00,080
where you have a mistrust in 
technology, but it's shaped by a

548
00:33:00,440 --> 00:33:03,720
very strong monopoly, only one 
reality for all. 

549
00:33:03,720 --> 00:33:06,840
And the society in such a 
scenario is missed as a strong 

550
00:33:06,840 --> 00:33:10,080
mistrust, but it's also 
uniformly united, right? 

551
00:33:10,160 --> 00:33:13,200
And then there is a very crazy 
chaotic one. 

552
00:33:13,280 --> 00:33:14,920
This is the last scenario, 
right? 

553
00:33:15,000 --> 00:33:19,480
It's the end of the story 
actually, where you have an all 

554
00:33:19,480 --> 00:33:22,640
fake word. 
And this might be due to AI 

555
00:33:22,640 --> 00:33:23,800
spamming the word. 
Yeah. 

556
00:33:23,800 --> 00:33:28,000
Just imagine out of an AI, out 
of control, spamming all the 

557
00:33:28,000 --> 00:33:31,000
communication channels. 
And we have a strong mistrust. 

558
00:33:31,280 --> 00:33:35,280
And in such a situation, we 
cannot trust some information or

559
00:33:35,280 --> 00:33:39,160
any information anymore. 
And it becomes that this is for 

560
00:33:39,160 --> 00:33:42,280
us, maybe then for us as humans,
a new normal. 

561
00:33:42,360 --> 00:33:45,040
Yeah. 
So we are looking for protective

562
00:33:45,040 --> 00:33:49,760
zones in such a scenario where 
we have off time and where we do

563
00:33:49,760 --> 00:33:52,880
not use technology as extensive 
anymore. 

564
00:33:53,280 --> 00:33:56,680
So four different scenarios and 
the core question is always what

565
00:33:56,680 --> 00:33:59,880
if? 
Yeah, the truth is probably 

566
00:33:59,880 --> 00:34:03,680
somehow in between. 
But scenario thinking helps you 

567
00:34:03,720 --> 00:34:07,800
to think out-of-the-box, right? 
And always to discuss things you

568
00:34:07,840 --> 00:34:11,480
would normally not discuss. 
And that's also the purpose of 

569
00:34:11,600 --> 00:34:14,639
the fake future scenarios. 
Yeah, to extend our thinking, to

570
00:34:14,639 --> 00:34:18,480
shape a debate and to get into a
strategic conversation, as I 

571
00:34:18,480 --> 00:34:20,679
just said in the beginning of 
our talk. 

572
00:34:21,159 --> 00:34:23,960
I appreciate that so much and I 
would love to have you over and 

573
00:34:23,960 --> 00:34:27,360
like due time to also see if 
where we're headed and if we can

574
00:34:27,360 --> 00:34:31,520
already derive off like some of 
the in betweens of all of those 

575
00:34:31,520 --> 00:34:33,320
scenarios. 
But for now, thank you so much 

576
00:34:33,320 --> 00:34:36,280
for sharing that. 
And lastly, and I do that with 

577
00:34:36,360 --> 00:34:40,480
every of my guests, we briefly 
have some in between moments. 

578
00:34:40,480 --> 00:34:44,280
These are short and intuitive 
reflections that I would love 

579
00:34:44,280 --> 00:34:47,120
for you to just answer in a word
or a sentence from the top of 

580
00:34:47,120 --> 00:34:49,719
your mind. 
And I would want to start with a

581
00:34:49,719 --> 00:34:52,360
statement. 
According to you, a future we 

582
00:34:52,360 --> 00:34:55,440
underestimate is. 
Set the power of AI to push. 

583
00:34:55,440 --> 00:34:58,600
Science and a risk that we 
misread. 

584
00:34:58,720 --> 00:35:02,920
Also linked to the scenarios 
that we are stumbling silently 

585
00:35:02,920 --> 00:35:09,240
into an autocracy so that the 
way that we might be manipulated

586
00:35:09,240 --> 00:35:12,440
by agents and AI to live in a 
better way. 

587
00:35:12,560 --> 00:35:15,880
I need to do just a whole 
episode on that word, but thank 

588
00:35:15,880 --> 00:35:18,720
you for bringing that to the 
table. 

589
00:35:18,720 --> 00:35:23,360
And then thirdly, trust in 2023 
fields like what according to 

590
00:35:23,360 --> 00:35:25,200
you? 
Renewable resource. 

591
00:35:25,600 --> 00:35:29,640
Very powerful, but it requires a
constant cultivation. 

592
00:35:30,480 --> 00:35:32,840
And a word that you currently 
are in between. 

593
00:35:32,840 --> 00:35:34,920
Oh. 
Yeah, I'm talking a lot about 

594
00:35:34,920 --> 00:35:37,400
digital aura. 
In the future, if you have the 

595
00:35:37,400 --> 00:35:41,920
devices connected on your body, 
smart clothes, your smart watch,

596
00:35:41,920 --> 00:35:45,480
your smart glasses, etcetera, 
then you have somehow a digital 

597
00:35:45,480 --> 00:35:47,960
aura. 
And if you connect to others, 

598
00:35:47,960 --> 00:35:51,440
then the agents behind are 
connecting and doing things. 

599
00:35:51,440 --> 00:35:54,360
Yeah. 
So this is this is something I'm

600
00:35:54,360 --> 00:35:57,440
really into at the moment. 
Such great jump of pints. 

601
00:35:57,440 --> 00:36:00,440
Thank you so much for sharing 
those with you with us Haiku. 

602
00:36:00,760 --> 00:36:02,960
And thank you for joining the 
podcast episode. 

603
00:36:02,960 --> 00:36:04,320
I really appreciate it. 
Yeah. 

604
00:36:04,320 --> 00:36:09,040
Thank you very much. 
If much fun, much appreciate.

