1
00:00:00,720 --> 00:00:04,280
Thanks to our amazing community 
members like you, we've reached 

2
00:00:04,280 --> 00:00:08,880
the top 15 of Spotify's video 
podcast, the Top 10 audio 

3
00:00:08,880 --> 00:00:12,280
podcasts on both Apple and 
Spotify for the tech category, 

4
00:00:12,480 --> 00:00:15,800
so you all make this possible. 
If you want to support us more, 

5
00:00:16,079 --> 00:00:20,280
check out our Patreon. 
That's patreon.com/stage 0 News 

6
00:00:20,280 --> 00:00:24,880
so we can keep this free and 
open for you to enjoy. 

7
00:00:26,160 --> 00:00:28,080
Something interesting happened 
the other day. 

8
00:00:28,200 --> 00:00:31,760
I was looking through our stats 
on Spotify and Apple Podcasts 

9
00:00:32,000 --> 00:00:37,440
and I noticed that about 55% of 
you are not subscribed to the 

10
00:00:37,440 --> 00:00:39,760
show. 
That means 45% of you are 

11
00:00:39,760 --> 00:00:43,040
subscribed and I really do 
appreciate your support, but the

12
00:00:43,040 --> 00:00:47,520
other 55% of you are awesome. 
But I'm going to ask you for a 

13
00:00:47,520 --> 00:00:49,000
favor. 
Could you please hit the 

14
00:00:49,000 --> 00:00:51,240
subscribe button? 
It'll take you one second. 

15
00:00:51,600 --> 00:00:54,800
I'm going to promise you 10 
years of this podcast for free. 

16
00:00:54,920 --> 00:00:57,080
No paywalls. 
I'm not going to charge you 

17
00:00:57,080 --> 00:01:00,360
anything ever, but I'm going to 
give you 10 years of this show 

18
00:01:00,360 --> 00:01:01,520
for free. 
I've already been doing it for 

19
00:01:01,520 --> 00:01:04,000
five years and I plan on doing 
it for 10 more. 

20
00:01:04,160 --> 00:01:07,080
And the only way that we can 
continue doing this is with your

21
00:01:07,080 --> 00:01:09,840
support. 
So one second of your time to 

22
00:01:09,840 --> 00:01:12,920
hit the subscribe button right 
now would help the show 

23
00:01:13,040 --> 00:01:15,240
tremendously. 
Thank you so much. 

24
00:01:18,720 --> 00:01:22,160
Slack CEO Denise Dresser is 
leaving the company to become 

25
00:01:22,240 --> 00:01:26,560
Open AI's chief revenue officer.
Now, what does that move tell us

26
00:01:26,560 --> 00:01:30,080
about Open AI's push into the 
enterprise? 

27
00:01:30,360 --> 00:01:33,280
And how will Slack manage the 
handoff at the top? 

28
00:01:33,920 --> 00:01:37,680
After the break, I'll explain 
what Dresser will run inside 

29
00:01:37,680 --> 00:01:42,120
Open AI, how our Salesforce and 
Slack track record lines up with

30
00:01:42,120 --> 00:01:44,800
that mandate, and what we know 
about Slack's interim 

31
00:01:44,800 --> 00:01:47,800
leadership. 
I'll add context on Slack's path

32
00:01:47,800 --> 00:01:51,040
from start up to a Salesforce 
business unit, then outline the 

33
00:01:51,040 --> 00:01:55,240
likely first steps for Open A is
new revenue chief, so you can 

34
00:01:55,320 --> 00:02:01,040
read the next press release with
more of your mind and less 

35
00:02:01,040 --> 00:02:07,600
signal and less guesswork. 
Wired reports that Denise 

36
00:02:07,600 --> 00:02:10,880
Dresser will join Open AI as 
Chief Revenue Officer after 

37
00:02:10,880 --> 00:02:15,000
serving as SLAC's CEOA staff. 
Memo went out from Salesforce 

38
00:02:15,000 --> 00:02:18,520
Chief Executive Marc Benioff 
confirming her departure, and 

39
00:02:18,520 --> 00:02:21,520
the story says she starts her 
new rule next week. 

40
00:02:21,880 --> 00:02:25,080
And with that, we move from 
boomer to an on the record 

41
00:02:25,080 --> 00:02:27,480
leadership change in a concrete 
start date. 

42
00:02:28,040 --> 00:02:31,400
Now Open AI is placing dresser 
over its enterprise unit, which 

43
00:02:31,400 --> 00:02:34,520
has been growing rapidly. 
And she'll report to Chief 

44
00:02:34,520 --> 00:02:39,200
Operating Officer Brad Lightcap.
That reporting line clarifies 

45
00:02:39,200 --> 00:02:42,480
where revenue, operations, 
enterprise sales meet inside of 

46
00:02:42,480 --> 00:02:48,320
Open AIACRO, tied directly to 
the COO, signals a focus on 

47
00:02:48,440 --> 00:02:52,320
execution customer delivery in 
the systems that support the 

48
00:02:52,320 --> 00:02:53,840
sales cycle. 
Now. 

49
00:02:53,840 --> 00:02:55,840
The near term read is very 
simple, though. 

50
00:02:56,200 --> 00:02:59,120
Open EI wants disciplined 
enterprise growth and 

51
00:02:59,120 --> 00:03:01,600
accountability for its 
leadership. 

52
00:03:02,480 --> 00:03:05,040
You know Dresser arrives with 
long tenure in enterprise sales 

53
00:03:05,040 --> 00:03:08,680
and go to market roles. 
According to sources, she spent 

54
00:03:08,680 --> 00:03:11,920
about 14 years at Salesforce 
before becoming Slack CEO in 

55
00:03:11,920 --> 00:03:16,560
2023. 
And that's after Lydiane Jones 

56
00:03:16,560 --> 00:03:21,320
left to run Bumble. 
Now that sequence that is 

57
00:03:21,320 --> 00:03:25,560
important because it shows a 
career built around selling and 

58
00:03:25,560 --> 00:03:28,280
scaling software to large 
organizations. 

59
00:03:28,280 --> 00:03:33,200
Not only running a product team,
but running a large team. 

60
00:03:33,600 --> 00:03:37,920
Now the background fits Acro 
role seat that touches field 

61
00:03:37,920 --> 00:03:42,800
sales, customer success, partner
deals and post sale adoption. 

62
00:03:43,640 --> 00:03:48,280
A Slack will be LED an an 
interim basis by Rob Seaman, its

63
00:03:48,280 --> 00:03:51,160
chief product officer, while the
company and Salesforce manage 

64
00:03:51,160 --> 00:03:53,840
the transition. 
I think it's Slack, a leader who

65
00:03:53,840 --> 00:03:56,600
already owns the road map and 
feature delivery, which helps 

66
00:03:56,600 --> 00:03:59,440
steady day-to-day decisions 
while the board and the parent 

67
00:03:59,440 --> 00:04:03,800
company evaluate next steps. 
And interim arrangement also 

68
00:04:03,800 --> 00:04:06,600
keeps the door open for internal
and external candidates without 

69
00:04:06,600 --> 00:04:08,880
forcing an immediate, permanent 
pick. 

70
00:04:09,640 --> 00:04:13,000
Now, Slack did not comment. 
We tried to reach them, but they

71
00:04:13,320 --> 00:04:15,440
didn't talk to us. 
So to understand the weight of 

72
00:04:15,440 --> 00:04:18,120
this hand off, recall the arc of
Slack itself. 

73
00:04:18,240 --> 00:04:25,320
Slack traces its roost back to 
2009 to late 2008, 2009, and it 

74
00:04:25,320 --> 00:04:28,640
took off by 2014 as a workplace 
chat collaboration tool. 

75
00:04:29,520 --> 00:04:33,680
Now, Salesforce acquired the 
company in 2021 for nearly $28 

76
00:04:33,680 --> 00:04:38,120
billion, and over time, more of 
SLAC's operations integrated 

77
00:04:38,200 --> 00:04:41,280
into Salesforce. 
Founders and early leaders, 

78
00:04:41,280 --> 00:04:44,200
including Stewart Butterfield 
and Kyle Henderson, departed in 

79
00:04:44,200 --> 00:04:49,600
the years after the acquisition 
after they got a huge money bank

80
00:04:49,600 --> 00:04:54,080
account addition, which often 
happens when a startup becomes 

81
00:04:54,080 --> 00:04:58,200
part of a larger enterprise. 
Now, Wired also points to 

82
00:04:58,200 --> 00:05:01,480
reporting about culture friction
between Slack, startup DNA and 

83
00:05:01,480 --> 00:05:05,480
Salesforce's scale. 
And that friction gives context 

84
00:05:05,480 --> 00:05:09,160
to how leadership shifts land 
inside a combined organization. 

85
00:05:09,440 --> 00:05:12,080
But a parent company absorbs 
operations from a smaller 

86
00:05:12,080 --> 00:05:14,520
company. 
Product and policy choices can 

87
00:05:14,520 --> 00:05:19,120
move into different directions, 
different cadences, and interim 

88
00:05:19,120 --> 00:05:22,160
leadership can be a practical 
tool to collaborate those 

89
00:05:22,160 --> 00:05:24,240
cadences. 
Usually what happens is the 

90
00:05:24,240 --> 00:05:29,200
smaller company gets acquired 
and then either they a get 

91
00:05:30,920 --> 00:05:34,400
melded into the larger company 
or they just get shut down. 

92
00:05:34,400 --> 00:05:38,280
Luckily if I mean, if you're a 
Slack user, but it might not be 

93
00:05:38,280 --> 00:05:42,280
luckily for you and maybe you 
don't like it and most people 

94
00:05:42,280 --> 00:05:45,120
don't that I've talked to, 
they're just like, I don't want 

95
00:05:45,120 --> 00:05:48,080
to hear another Slack 
notification ever again in my 

96
00:05:48,080 --> 00:05:51,440
life if it's possible. 
Same with Jira, Nobody likes 

97
00:05:51,440 --> 00:05:56,240
that. 
But with this new set up, you 

98
00:05:56,240 --> 00:05:59,200
know a public road map help 
customers make sense of it. 

99
00:05:59,800 --> 00:06:04,480
So let's shift over to Open AI 
again and what ACRO can drive in

100
00:06:04,480 --> 00:06:06,560
a year when enterprise demand 
grows up. 

101
00:06:07,120 --> 00:06:11,320
Now Dresser's remit is making AI
useful and reliable for 

102
00:06:11,320 --> 00:06:14,080
businesses across industries. 
Paraphrasing a statement from 

103
00:06:14,080 --> 00:06:16,720
Open AI leadership that 
translates into clear 

104
00:06:16,720 --> 00:06:21,040
priorities, stable pricing and 
packaging, predictable support, 

105
00:06:21,200 --> 00:06:24,640
measurable rollout timelines, 
any path for large customers to 

106
00:06:24,640 --> 00:06:30,080
pilot, expand, standardize. 
SARR ties those motions to 

107
00:06:30,080 --> 00:06:35,120
revenue targets and retention. 
So Open AI has to be worried 

108
00:06:35,120 --> 00:06:39,040
about Google right now. 
Google owns your enterprise. 

109
00:06:39,200 --> 00:06:42,920
They own basically every part of
your system. 

110
00:06:43,800 --> 00:06:52,400
E-mail, chat, they have 
conferencing, all the Google Doc

111
00:06:52,400 --> 00:06:55,720
stuff, It's all there. 
And you know what? 

112
00:06:56,480 --> 00:06:58,400
Open AI just wants a small chunk
of that. 

113
00:06:58,720 --> 00:07:01,320
Google is very competitive. 
They already have all your 

114
00:07:01,320 --> 00:07:03,640
information. 
They have all the systems in 

115
00:07:03,640 --> 00:07:07,120
place to just add AI, just add 
Gemini to everything, right? 

116
00:07:07,720 --> 00:07:15,320
And then they have the the 
backbone to a either wipe out 

117
00:07:15,400 --> 00:07:18,040
open AI immediately. 
I don't think they're going to 

118
00:07:18,040 --> 00:07:20,640
do that. 
I think people will continue to 

119
00:07:20,720 --> 00:07:23,240
subsidize open AI with more 
money. 

120
00:07:23,360 --> 00:07:26,600
Over time, Open AI will 
eventually start making money, 

121
00:07:26,600 --> 00:07:30,840
more money because the CRO 
coming in, they're working on 

122
00:07:30,840 --> 00:07:32,920
the business part of it. 
Can they do things better than 

123
00:07:32,920 --> 00:07:36,800
Google? 
It's tough to tough to feel that

124
00:07:36,800 --> 00:07:39,040
out right now. 
It's still the very early 80s. 

125
00:07:39,040 --> 00:07:42,600
It's like the beginning of the 
Internet with Netscape Navigator

126
00:07:42,840 --> 00:07:46,400
and Internet Explorer and also 
Opera. 

127
00:07:46,400 --> 00:07:48,360
Do you remember Opera, I think 
still around. 

128
00:07:48,960 --> 00:07:52,040
And what was the one Mosaic? 
Mosaic was great. 

129
00:07:52,040 --> 00:07:56,040
I remember those times and even 
in the terminal, we used to 

130
00:07:57,720 --> 00:08:00,480
search in the terminal and like 
type in things. 

131
00:08:00,720 --> 00:08:04,400
There was servers you can 
connect to and you could find 

132
00:08:04,400 --> 00:08:06,920
documents in like just the 
terminal window. 

133
00:08:07,360 --> 00:08:12,280
It's crazy. 
And now of course, you can watch

134
00:08:12,280 --> 00:08:14,480
full movies anytime you want to 
on your phone. 

135
00:08:15,280 --> 00:08:21,720
So it's like that when Google is
the big player now. 

136
00:08:21,720 --> 00:08:24,160
It used to be IBM back in the 
day. 

137
00:08:25,360 --> 00:08:27,840
Microsoft came out of nowhere, 
took him out. 

138
00:08:28,680 --> 00:08:35,080
Open AI could be the next player
to take out Google, possibly. 

139
00:08:35,080 --> 00:08:36,600
And that's why Google's kind of 
afraid. 

140
00:08:36,600 --> 00:08:38,799
But they jumped on it with 
Gemini. 

141
00:08:39,760 --> 00:08:44,560
Now, Slack isn't really an AI 
program, you know, It's not an 

142
00:08:44,560 --> 00:08:49,600
app that's touted as an AI first
application. 

143
00:08:50,440 --> 00:08:53,680
But Dresser's recent work at 
Slack included rolling out large

144
00:08:53,680 --> 00:08:57,280
scale AI features such as AI 
generated meeting summaries and 

145
00:08:57,280 --> 00:09:00,000
integrations with Salesforce's 
AI agents. 

146
00:09:00,520 --> 00:09:03,520
That experience lines up with 
enterprise buyers who now expect

147
00:09:03,520 --> 00:09:08,040
concrete productivity gains and 
not just a chatbot. 

148
00:09:08,680 --> 00:09:11,400
It also means she has navigated 
the governance, security, and 

149
00:09:11,400 --> 00:09:15,160
procurement steps that big 
customers require. 

150
00:09:16,040 --> 00:09:22,000
Dresser is all about the money, 
that's why they got her on and 

151
00:09:22,760 --> 00:09:27,880
for a hefty price. 
So if she can turn this around 

152
00:09:27,880 --> 00:09:32,040
and if she can make open AIA 
Enterprise player, even though 

153
00:09:32,120 --> 00:09:35,240
you know some people already use
open AI for enterprise, don't 

154
00:09:35,240 --> 00:09:38,440
blame them for it. 
I could see why some companies 

155
00:09:38,440 --> 00:09:40,640
would jump over to Google 
because if they already use the 

156
00:09:40,640 --> 00:09:43,200
Google suite, they may as well 
use the Gemini suite with the 

157
00:09:43,200 --> 00:09:46,840
Google Suite and it's just can 
go hand in hand now. 

158
00:09:46,840 --> 00:09:50,320
And I love it. 
I love the invention of chat 

159
00:09:50,320 --> 00:09:56,160
bots and I love that things that
used to take copy and pasting 

160
00:09:56,840 --> 00:10:02,240
into ChatGPT to get a summary. 
So say if somebody emailed me, 

161
00:10:02,280 --> 00:10:04,080
right? 
So like right when the ChatGPT 

162
00:10:04,080 --> 00:10:09,760
came out, somebody would e-mail 
me, a client would e-mail me and

163
00:10:09,760 --> 00:10:13,480
I would send it over to ChatGPT.
I would paste it in there and 

164
00:10:13,480 --> 00:10:15,320
say can you summarize this 
e-mail for me? 

165
00:10:15,680 --> 00:10:18,960
OK, super simple. 
And it would summarize the 

166
00:10:18,960 --> 00:10:22,200
e-mail and I'm like OK cool. 
Like give give me like 4 bullet 

167
00:10:22,200 --> 00:10:25,160
points and it would do that. 
And I'm like oh, is this worth 

168
00:10:25,160 --> 00:10:28,560
it for me to check this out? 
Sometimes it would be, sometimes

169
00:10:28,560 --> 00:10:32,200
it wouldn't be. 
But I without that step now 

170
00:10:32,200 --> 00:10:35,880
because Gemini's there, it's all
integrated. 

171
00:10:35,880 --> 00:10:37,760
I don't have to do that anymore.
What's the summary of this 

172
00:10:37,760 --> 00:10:41,200
e-mail? 
Let me know if the email's, you 

173
00:10:41,200 --> 00:10:43,720
know, 4 paragraphs long. 
I don't want to read the whole 

174
00:10:43,720 --> 00:10:45,680
thing. 
I need a summary so I can 

175
00:10:45,760 --> 00:10:50,800
quickly make a decision if I 
want to read the whole thing. 

176
00:10:51,320 --> 00:10:54,240
Now, if I do, that's great. 
Gemini can tell me is it worth 

177
00:10:54,240 --> 00:10:54,920
it? 
Yes. 

178
00:10:55,440 --> 00:10:59,080
Now Dresser's going to be 
starting soon. 

179
00:10:59,440 --> 00:11:04,960
Our start date is compressing 
the onboarding curve few weeks. 

180
00:11:04,960 --> 00:11:07,760
She's starting next week and 
suggests that Open AI plans to 

181
00:11:07,760 --> 00:11:11,560
plug her right into an existing 
enterprise machine and have her 

182
00:11:11,560 --> 00:11:13,800
lead without a long runway. 
She already knows how to do 

183
00:11:13,800 --> 00:11:15,440
this. 
She's going to step in here and 

184
00:11:15,440 --> 00:11:16,440
she's going to be able to kill 
it. 

185
00:11:16,440 --> 00:11:21,040
Now that puts early emphasis on 
pipeline health, top accounts 

186
00:11:21,080 --> 00:11:24,080
and any quarter end commitments 
already in flight. 

187
00:11:24,520 --> 00:11:29,120
So anything that's on the table,
the dresser's going to step 

188
00:11:29,120 --> 00:11:32,800
right in, take care of it. 
And a swift internal tour with 

189
00:11:32,800 --> 00:11:35,640
product, trust, security and 
support leaders would come 

190
00:11:35,640 --> 00:11:36,960
first. 
Of course, she's probably 

191
00:11:36,960 --> 00:11:39,360
already meeting those people 
behind the scenes, followed by 

192
00:11:39,360 --> 00:11:41,600
meetings with anchor customers 
and partners. 

193
00:11:41,600 --> 00:11:44,640
Just to get to know everybody 
the first first week or two, get

194
00:11:44,640 --> 00:11:48,280
to know everybody. 
Start doing some business now. 

195
00:11:50,800 --> 00:11:54,640
Brad Lightcap is worth 
underlining here. 

196
00:11:54,800 --> 00:11:58,120
Acro under the CEO aligns 
revenue with operations and 

197
00:11:58,120 --> 00:12:00,960
delivery, not only with 
marketing or finance. 

198
00:12:01,040 --> 00:12:03,960
Now that set up gives the CROA 
direct handle on how promises 

199
00:12:03,960 --> 00:12:07,720
turn into deployments, which is 
the core friction in enterprise 

200
00:12:07,720 --> 00:12:10,160
AI. 
If a customer outcome lags, the 

201
00:12:10,240 --> 00:12:14,480
escalation path is already 
inside operation, which shortens

202
00:12:14,480 --> 00:12:22,000
the loop from problem to fix. 
Now I want to ask you for one 

203
00:12:22,000 --> 00:12:25,400
second of your time, OK, And I 
know I already did this at the 

204
00:12:25,440 --> 00:12:27,960
beginning of the show. 
Give me one second of your time.

205
00:12:27,960 --> 00:12:31,360
I've been doing this show for 
the last five years, over 1000 

206
00:12:31,360 --> 00:12:36,000
episodes, and I promise to give 
you the next 10 years of my life

207
00:12:36,200 --> 00:12:38,520
doing this show every single 
day, sometimes two times a day, 

208
00:12:39,000 --> 00:12:42,240
morning and afternoon, so you 
can get all the information you 

209
00:12:42,240 --> 00:12:47,440
want about AI and tech and Elon 
Musk, all that stuff. 

210
00:12:47,880 --> 00:12:50,400
So all I need is one second of 
your time, hit the follow 

211
00:12:50,400 --> 00:12:52,040
button. 
That's it. 

212
00:12:52,200 --> 00:12:55,120
Hit the follow button and I give
you the next 10 years of this. 

213
00:12:55,640 --> 00:12:59,240
No doubt about it. 
So here's the short wrap of this

214
00:12:59,240 --> 00:13:02,320
episode. 
Slack's EO Denise Dresser will 

215
00:13:02,320 --> 00:13:05,440
become open AI's chief revenue 
officer starting next week. 

216
00:13:05,880 --> 00:13:09,480
She'll run the enterprise unit 
report to CEO Brad Lightcap, and

217
00:13:09,480 --> 00:13:12,840
bring long expertise from 
Salesforce and Slack, including 

218
00:13:12,840 --> 00:13:16,280
recent AI feature rollouts. 
Slack name's chief product 

219
00:13:16,280 --> 00:13:20,560
officer Rob Seaman as interim 
CEO while the company manages 

220
00:13:20,640 --> 00:13:26,080
this transition support. 
If you could take a second and 

221
00:13:26,080 --> 00:13:29,000
hit this subscribe or the follow
button on whatever podcast 

222
00:13:29,000 --> 00:13:32,000
platform that you're listening 
on right now, I greatly 

223
00:13:32,000 --> 00:13:33,640
appreciate it. 
It helps out the show 

224
00:13:33,640 --> 00:13:36,320
tremendously and you'll never 
miss an episode. 

225
00:13:36,520 --> 00:13:39,880
And each episode is about 10 
minutes or less to get you 

226
00:13:39,880 --> 00:13:42,600
caught up quickly. 
And please, if you want to 

227
00:13:42,600 --> 00:13:48,120
support the show even more, go 
to patreon.com com stage zero 

228
00:13:48,560 --> 00:13:50,800
and please take care of 
yourselves and each other and 

229
00:13:50,800 --> 00:13:51,720
I'll see you tomorrow.
