Jan 2, 2019 · 31m · a16z

a16z Podcast | On Corporate Venturing & Setting Up 'Innovation Outposts'

Evangelos Simudis · 22m spoken Sonal Chokshi · 5m spoken
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In this episode of the a16z Podcast, venture capitalist Evangelos Simudis joins Sonal Chokshi and Michael to discuss how large corporations can successfully navigate corporate venturing, avoid 'innovation theater', and integrate startup playbooks to foster long-term innovation.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The host holds 17.2% of the talking time here. How this is scored →

The host as informed peer 4.7 Guest teaching 4.6 Guest disagreement 2.0 The host pushing back 3.1
05100:0010:0020:0030:001:45–5:20 · The host as informed peer 3/10 Innovation Outposts vs. 'Innovation Theater' Sonal asks structured questions on distinguishing genuine innovation outposts from 'innovation theater', citing DARPA and Amazon. Evangelos explains why corporate venture funds often fail to secure quality deal flow without true executive engagement.5:20–8:34 · The host as informed peer 4/10 Ecosystem Sensing and the Five Response Types Sonal cites research on corporate decision-making slowdowns, prompting Evangelos to detail the ecosystem sensing model and five response types. The hosts collaboratively expand on the guest's points with earthquake sensor analogies.8:34–13:57 · The host as informed peer 4/10 Historical Evolution of Corporate Venturing Evangelos shares historical data on 1990s corporate venture failure rates and reframes Michael's question about materials companies. He pushes back on Michael's premise, noting software was already impacting their business rather than being an optional pivot.13:57–18:27 · The host as informed peer 5/10 Redefining Corporate Structure through Outposts Hosts demonstrate knowledge of declining S&P 500 company longevity and SaaS transition friction. Sonal directly pushes back on whether an outpost has ever successfully become a company's main center, prompting Evangelos to clarify its role as a transformation agent.18:27–24:34 · The host as informed peer 6/10 Case Studies in Corporate Transformation Evangelos analyzes case studies including Alphabet, BMW iBrand, and IBM Watson. Sonal displays expertise by citing Astro Teller's framework requiring 10x improvement and current feasibility signals for moonshots.24:34–28:06 · The host as informed peer 7/10 Open Innovation and Competing with Startups Sonal offers her strongest pushback of the interview, questioning how legacy efforts like IBM Watson can compete with agile startups and data giants like Google or Facebook. She extends her critique by introducing Not Invented Here (NIH) syndrome as a major obstacle.28:06–31:23 · The host as informed peer 4/10 Long-Term Risk Management and Silicon Valley Collaboration Michael asks what Silicon Valley can learn from legacy corporations. Evangelos dismisses the Valley's belief that tech companies will completely obliterate Detroit automakers as a fallacy, arguing for genuine two-way collaboration.1:45–5:20 · Guest teaching 4/10 Innovation Outposts vs. 'Innovation Theater' Sonal asks structured questions on distinguishing genuine innovation outposts from 'innovation theater', citing DARPA and Amazon. Evangelos explains why corporate venture funds often fail to secure quality deal flow without true executive engagement.5:20–8:34 · Guest teaching 5/10 Ecosystem Sensing and the Five Response Types Sonal cites research on corporate decision-making slowdowns, prompting Evangelos to detail the ecosystem sensing model and five response types. The hosts collaboratively expand on the guest's points with earthquake sensor analogies.8:34–13:57 · Guest teaching 6/10 Historical Evolution of Corporate Venturing Evangelos shares historical data on 1990s corporate venture failure rates and reframes Michael's question about materials companies. He pushes back on Michael's premise, noting software was already impacting their business rather than being an optional pivot.13:57–18:27 · Guest teaching 4/10 Redefining Corporate Structure through Outposts Hosts demonstrate knowledge of declining S&P 500 company longevity and SaaS transition friction. Sonal directly pushes back on whether an outpost has ever successfully become a company's main center, prompting Evangelos to clarify its role as a transformation agent.18:27–24:34 · Guest teaching 4/10 Case Studies in Corporate Transformation Evangelos analyzes case studies including Alphabet, BMW iBrand, and IBM Watson. Sonal displays expertise by citing Astro Teller's framework requiring 10x improvement and current feasibility signals for moonshots.24:34–28:06 · Guest teaching 4/10 Open Innovation and Competing with Startups Sonal offers her strongest pushback of the interview, questioning how legacy efforts like IBM Watson can compete with agile startups and data giants like Google or Facebook. She extends her critique by introducing Not Invented Here (NIH) syndrome as a major obstacle.28:06–31:23 · Guest teaching 5/10 Long-Term Risk Management and Silicon Valley Collaboration Michael asks what Silicon Valley can learn from legacy corporations. Evangelos dismisses the Valley's belief that tech companies will completely obliterate Detroit automakers as a fallacy, arguing for genuine two-way collaboration.1:45–5:20 · Guest disagreement 1/10 Innovation Outposts vs. 'Innovation Theater' Sonal asks structured questions on distinguishing genuine innovation outposts from 'innovation theater', citing DARPA and Amazon. Evangelos explains why corporate venture funds often fail to secure quality deal flow without true executive engagement.5:20–8:34 · Guest disagreement 1/10 Ecosystem Sensing and the Five Response Types Sonal cites research on corporate decision-making slowdowns, prompting Evangelos to detail the ecosystem sensing model and five response types. The hosts collaboratively expand on the guest's points with earthquake sensor analogies.8:34–13:57 · Guest disagreement 3/10 Historical Evolution of Corporate Venturing Evangelos shares historical data on 1990s corporate venture failure rates and reframes Michael's question about materials companies. He pushes back on Michael's premise, noting software was already impacting their business rather than being an optional pivot.13:57–18:27 · Guest disagreement 2/10 Redefining Corporate Structure through Outposts Hosts demonstrate knowledge of declining S&P 500 company longevity and SaaS transition friction. Sonal directly pushes back on whether an outpost has ever successfully become a company's main center, prompting Evangelos to clarify its role as a transformation agent.18:27–24:34 · Guest disagreement 1/10 Case Studies in Corporate Transformation Evangelos analyzes case studies including Alphabet, BMW iBrand, and IBM Watson. Sonal displays expertise by citing Astro Teller's framework requiring 10x improvement and current feasibility signals for moonshots.24:34–28:06 · Guest disagreement 3/10 Open Innovation and Competing with Startups Sonal offers her strongest pushback of the interview, questioning how legacy efforts like IBM Watson can compete with agile startups and data giants like Google or Facebook. She extends her critique by introducing Not Invented Here (NIH) syndrome as a major obstacle.28:06–31:23 · Guest disagreement 3/10 Long-Term Risk Management and Silicon Valley Collaboration Michael asks what Silicon Valley can learn from legacy corporations. Evangelos dismisses the Valley's belief that tech companies will completely obliterate Detroit automakers as a fallacy, arguing for genuine two-way collaboration.1:45–5:20 · The host pushing back 2/10 Innovation Outposts vs. 'Innovation Theater' Sonal asks structured questions on distinguishing genuine innovation outposts from 'innovation theater', citing DARPA and Amazon. Evangelos explains why corporate venture funds often fail to secure quality deal flow without true executive engagement.5:20–8:34 · The host pushing back 1/10 Ecosystem Sensing and the Five Response Types Sonal cites research on corporate decision-making slowdowns, prompting Evangelos to detail the ecosystem sensing model and five response types. The hosts collaboratively expand on the guest's points with earthquake sensor analogies.8:34–13:57 · The host pushing back 3/10 Historical Evolution of Corporate Venturing Evangelos shares historical data on 1990s corporate venture failure rates and reframes Michael's question about materials companies. He pushes back on Michael's premise, noting software was already impacting their business rather than being an optional pivot.13:57–18:27 · The host pushing back 4/10 Redefining Corporate Structure through Outposts Hosts demonstrate knowledge of declining S&P 500 company longevity and SaaS transition friction. Sonal directly pushes back on whether an outpost has ever successfully become a company's main center, prompting Evangelos to clarify its role as a transformation agent.18:27–24:34 · The host pushing back 2/10 Case Studies in Corporate Transformation Evangelos analyzes case studies including Alphabet, BMW iBrand, and IBM Watson. Sonal displays expertise by citing Astro Teller's framework requiring 10x improvement and current feasibility signals for moonshots.24:34–28:06 · The host pushing back 7/10 Open Innovation and Competing with Startups Sonal offers her strongest pushback of the interview, questioning how legacy efforts like IBM Watson can compete with agile startups and data giants like Google or Facebook. She extends her critique by introducing Not Invented Here (NIH) syndrome as a major obstacle.28:06–31:23 · The host pushing back 3/10 Long-Term Risk Management and Silicon Valley Collaboration Michael asks what Silicon Valley can learn from legacy corporations. Evangelos dismisses the Valley's belief that tech companies will completely obliterate Detroit automakers as a fallacy, arguing for genuine two-way collaboration.

speaking balance: gold is the host, purple is the guest (3 minute bins)

0:00 · the host 45.1% · guest 54.9%0:00 · the host 45.1% · guest 54.9%3:00 · the host 20.9% · guest 79.1%3:00 · the host 20.9% · guest 79.1%6:00 · the host 1.6% · guest 98.4%6:00 · the host 1.6% · guest 98.4%9:00 · the host 1.7% · guest 98.3%9:00 · the host 1.7% · guest 98.3%12:00 · the host 28.7% · guest 71.3%12:00 · the host 28.7% · guest 71.3%15:00 · the host 13.1% · guest 86.9%15:00 · the host 13.1% · guest 86.9%18:00 · the host 4.1% · guest 95.9%18:00 · the host 4.1% · guest 95.9%21:00 · the host 2.4% · guest 97.6%21:00 · the host 2.4% · guest 97.6%24:00 · the host 56.8% · guest 43.2%24:00 · the host 56.8% · guest 43.2%27:00 · the host 3.6% · guest 96.4%27:00 · the host 3.6% · guest 96.4%30:00 · the host 4.6% · guest 95.4%30:00 · the host 4.6% · guest 95.4%
Sharpest disagreement ▶ 29:54 Calling Silicon Valley auto disruption a fallacy

Evangelos forcefully rejects the Silicon Valley consensus that tech companies will completely obliterate Detroit automakers, calling that assumption a fallacy.

Hardest push from the host ▶ 24:34 Challenging corporate AI vs. startup advantage

Sonal refuses to accept the premise that legacy corporate platforms like IBM Watson can compete effectively against nimble startups and data-rich tech giants like Google and Facebook.

Biggest teaching moment ▶ 11:05 Reframing legacy materials industry digital threat

Evangelos directly corrects Michael's assumption that materials companies enter software out of speculative interest, clarifying that software, data, and 3D printing had already disrupted their core market.

The host holds their own ▶ 26:22 Raising NIH syndrome as structural barrier

Sonal demonstrates strong expertise by introducing Not Invented Here (NIH) syndrome to highlight the cultural inability of legacy corporations to absorb external startup innovation.

the scores for every segment, with the reasoning behind each
ChapterTopicThe host as informed peerGuest teachingGuest disagreementThe host pushing backWhy
Innovation Outposts vs. 'Innovation Theater' 3412 Sonal asks structured questions on distinguishing genuine innovation outposts from 'innovation theater', citing DARPA and Amazon. Evangelos explains why corporate venture funds often fail to secure quality deal flow without true executive engagement.
Ecosystem Sensing and the Five Response Types 4511 Sonal cites research on corporate decision-making slowdowns, prompting Evangelos to detail the ecosystem sensing model and five response types. The hosts collaboratively expand on the guest's points with earthquake sensor analogies.
Historical Evolution of Corporate Venturing 4633 Evangelos shares historical data on 1990s corporate venture failure rates and reframes Michael's question about materials companies. He pushes back on Michael's premise, noting software was already impacting their business rather than being an optional pivot.
Redefining Corporate Structure through Outposts 5424 Hosts demonstrate knowledge of declining S&P 500 company longevity and SaaS transition friction. Sonal directly pushes back on whether an outpost has ever successfully become a company's main center, prompting Evangelos to clarify its role as a transformation agent.
Case Studies in Corporate Transformation 6412 Evangelos analyzes case studies including Alphabet, BMW iBrand, and IBM Watson. Sonal displays expertise by citing Astro Teller's framework requiring 10x improvement and current feasibility signals for moonshots.
Open Innovation and Competing with Startups 7437 Sonal offers her strongest pushback of the interview, questioning how legacy efforts like IBM Watson can compete with agile startups and data giants like Google or Facebook. She extends her critique by introducing Not Invented Here (NIH) syndrome as a major obstacle.
Long-Term Risk Management and Silicon Valley Collaboration 4533 Michael asks what Silicon Valley can learn from legacy corporations. Evangelos dismisses the Valley's belief that tech companies will completely obliterate Detroit automakers as a fallacy, arguing for genuine two-way collaboration.

Statements from this episode (14)

Insight
Simudis: Corporate venture funds do not guarantee high-quality deal flow
“Just because you're establishing a fund, it doesn't mean that now you're going to start seeing a tremendous deal flow and the right deal flow”
Evangelos Simudis Jan 2, 2019 ▶ 3:19
Insight
Simudis: Capital alone does not make corporate VCs valuable to startups
“Just because you have a venture fund and just because you're willing to spend some money doesn't mean that you become a value add partner of a startup or of a group of startups.”
Evangelos Simudis Jan 2, 2019 ▶ 4:36
Insight
Simudis: Corporate outposts require continuous executive engagement to succeed
“The ones that have a particular reason, they're trying to solve a particular problem, They have engagement from the highest levels of the corporation. It's not only anointment, but there is actually engagement on a continuous basis. They are the ones who are p…”
Evangelos Simudis Jan 2, 2019 ▶ 4:48
Insight
Simudis: Corporations should build business development before launching venture groups
“90% of the times is to establish a venture group. And in retrospect, we determined that maybe establishing a venture group wouldn't have been the right first step. Maybe they should have established a business development capability before they even think abou…”
Evangelos Simudis Jan 2, 2019 ▶ 8:15
Assertion Partly supported
Simudis: Half of 1990s corporate venture arms closed by 2003
“So back in in the late nineties and roughly between nine, 90 seven, 98 and 2000, there were roughly 500 corporations that had established venture groups in our area. And of those 500 by 2003, 50% had closed down.”
Evangelos Simudis Jan 2, 2019 ▶ 9:05
Prediction Not checkable as stated
Simudis predicts 50% of corporate VC arms will close next recession
“Now by, I would call them unofficial statistics, there are Roughly a little over a thousand corporations, which in a sense makes sense because many more geographies have opened up in the intervening, you know, 1015 years, and I wouldn't be surprised if we have…”
Evangelos Simudis Jan 2, 2019 ▶ 9:28
Insight
Chokshi: Legacy companies struggle to become SaaS due to organizational structure
“One of the theses that we've put forth is that it's actually very difficult for a non-software-as-a-service company to actually become a software-as-a-service company because it requires completely re-architecting everything from the ground up, from your sales…”
Sonal Chokshi Jan 2, 2019 ▶ 13:33
Insight
Simudis: Corporations must learn rapid, low-cost experimentation from Silicon Valley
“What can a corporation take away from Silicon Valley or from any other innovation ecosystem is not the fact that you come into touch with Two or three or 10 startups is the fact that there is a set of now best practices, and one of these that you can take away…”
Evangelos Simudis Jan 2, 2019 ▶ 16:54
Opinion
Simudis: Alphabet successfully integrates corporate venture arms with core operations
“For me, a very interesting example is what Google is doing with Alphabet. And the reason I find this interesting is because you're seeing their venture capital groups working in tandem with their, the rest of the corporation.”
Evangelos Simudis Jan 2, 2019 ▶ 18:28
Assertion Supported
Simudis: BMW structured iBrand separately to pursue new mobility services
“Another example is BMW's iBrand, an organization that has been set up very differently from the major business units of BMW trying to look at not only the manufacturing aspect, the design and manufacturing aspect of the car, which is what BMW and other automak…”
Evangelos Simudis Jan 2, 2019 ▶ 19:12
Insight
Simudis: Corporate moonshots that go exactly as planned lacked sufficient risk
“And when you're, our point is that when you are involved in moonshots, not everything is going to go as planned. And if it goes as planned, it means that you didn't take enough risks.”
Evangelos Simudis Jan 2, 2019 ▶ 21:33
Insight
Simudis: Large corporations cannot solve complex innovation challenges with capital alone
“In this environment, regardless of how much capital they want to throw at the problem and how big and how good they are, they cannot solve things on their own, and they need to co-innovate.”
Evangelos Simudis Jan 2, 2019 ▶ 25:52
Assertion Not checkable as stated
Simudis: Co-innovating with peers helps corporations adopt startup-driven innovation
“Steve and I are finding that corporations that have adopted open innovation principles, where they are co-innovating with other large corporations, are becoming more successful At adopting startup driven innovation.”
Evangelos Simudis Jan 2, 2019 ▶ 26:05
Opinion
Simudis: Silicon Valley tech companies will not completely overtake the auto industry
“There's also a lot of enthusiasm in the Valley from our own companies that we can completely overtake the automotive industry, and I think this is a fallacy. Completely obliterating it and making Silicon Valley the, you know, the next Detroit, it's hard for me…”
Evangelos Simudis Jan 2, 2019 ▶ 30:36
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