On the record about
5 people · 76 quotes · 8 Oct 2011 to 6 Jul 2026
Every lane here carries 5 quotes or more. Offsets are days from the middle first-quote date, 23 Jun 2020 — a date, and nothing else. It is not a claim about who reached a view first.
Friedberg estimates Google starting salaries at $105,000 for new graduates as a startup comparison baseline.
“And if you were to get a job at Google when you graduate, the anecdotal evidence suggests that your first year salary would be about $105,000 this year.”
Gurley traces Silicon Valley's criticism of IPO unfairness through eBay, Hambrick and Quist, and Google's Dutch auction.
“Pierro Midiard had at eBay calling it undemocratic. You know, Hambrick and Quist, Bill Hambrick, twenty years ago called the IPO an insider's game.”
Gerstner invested in Priceline at $1B valuation; it became Google's largest advertiser and built a $100B business.
“We started investing in it when it was a billion dollar business and Priceline became the single largest global advertiser on Google and build a $100,000,000,000 vertical search business by providing better access to hotels and hotel inventory but that business would not have existed without Google.”
“We started investing in it when it was a billion dollar business and Priceline became the single largest global advertiser on Google and build a $100,000,000,000 vertical search business”
Gerstner says Priceline built a $100 billion vertical search business by becoming Google's largest global advertiser.
“We started investing in it when it was a billion dollar business and Priceline became the single largest global advertiser on Google and build a $100,000,000,000 vertical search business by providing better access to hotels and hotel inventory”
Gerstner says Priceline built a $100 billion vertical search business by becoming Google's largest global advertiser.
“We started investing in it when it was a billion dollar business and Priceline became the single largest global advertiser on Google and build a $100,000,000,000 vertical search business by providing better access to hotels”
Gerstner notes Google compounded at similar rates to other platforms despite his early worries about search's future.
“And I was talking of I was worried about the future of search and the future of vertical search starting in 2010, But look at Google's compounded at about the rate the other big platforms have in The US.”
Baker says Google was first cloud provider to stop competing with independent infrastructure software providers.
“But they try and force the open source infrastructure build themselves. And I think Google was the first one to realize, like, Hey, this is kind of silly.”
Baker argues Google was first cloud provider to embrace rather than compete with third-party infrastructure software.
“B, there's a lot of money to be made just in providing these primitives. Let's stop trying to compete with these independent infrastructure software providers right on top of the cloud.”
Friedberg recounts Larry Page and Sergey Brin calling third-party cookies evil in early Google days, proving prescient.
“Wesley and I kind of started working together after that because the first thing Larry and Sergei said to me was that's evil. Third party cookies are evil.”
Friedberg says Google Analytics drove $500 million in additional AdWords revenue within a year of the $25 million acquisition.
“Within a year, I think we had shown through Hal Varian, who was our chief economist, we had demonstrated that Google Analytics increased AdWords revenue by $500,000,000 because so many advertisers were using it to improve their websites and make the conversions better that they were spending more on AdWords.”
Gurley notes the two best VCs at the time, Doerr and Moritz, invested in Google when he passed.
“I'd like to highlight, and I always do, the two best venture capitalists in the world at the time, John Doerr and Mike Maritz, kinda locked hands and said yes.”
Gerstner warns that companies relying on Google's search ecosystem face potential value destruction from AI disruption.
“You're not gonna have to search through 10 blue links. And so, yes, a lot of the companies that were beneficiaries of the Google ecosystem are now suspect.”
Gerstner says there's growing confidence that search dollars will redistribute over 5-7 years, even Google must cannibalize search.
“And make no mistake, Google is well positioned to make its claim for that, but its claim is going to come at the expense of search.”
Gerstner characterizes Google as a monopoly that has been a tax collector on the Internet for twenty years.
“Google has been a monopoly, a tax collector on everything on the Internet for twenty years.”
Gerstner argues Google's culture evolved from product-led growth to a research institution.
“the culture at Google had evolved in such a way that it had become more of a research institution than a product led growth institution.”
Gerstner says GPT has become the default verb for AI, not Google's Bard.
“Do you bard or do you chat GPT? GPT has become the default verb for all things AI.”
Gerstner says Google made a mistake letting OpenAI go first despite having the technology and capabilities.
“And to relinquish that spot by letting OpenAI go first, when you had the technology, you had the supercompute, you had the capabilities to release that product, I think was a mistake.”
“I think there's plenty of time. If this is going to be as big and as transformational as humanity as we all think it will be, remember, you didn't have to invest in search until Google's IPO in 2004 to capture 95% of all ever generated by Internet search.”
Gerstner argues Google 2004 IPO investors captured 90 percent of internet search profits, illustrating patience in venture.
“You could have waited to invest in Google in 2004 and their IPO and you would have captured 90 plus percent of all the profits ever generated in internet search.”
Patel claims Google is massively ramping TPU production, a closely guarded secret most DeepMind employees don't know.
“Google's actually ramping up TPU production massively. And I think people in AI would be like, Well, duh. But like, okay, who has the capability of figuring out the number?”
Patel says Google's TPU production numbers are closely guarded secrets that even most Google DeepMind employees don't know.
“Right? That's like a very closely guarded secret, most people that work at Google DeepMind don't even know number.”
Patel claims Google will have more compute than any other company by a large factor.
“Google is going to have more compute than any other company in the world period by like a large, large factor.”
Patel says OpenAI has a lot less total FLOPS than Google despite having more GPUs than most perceive.
“whole point was that Google you know, OpenAI, who everyone would be like, oh, yeah. They have more GPUs than anyone else. Right? But they have a lot less flops than Google.”
Friedberg describes Google's book-scanning project as exemplifying leadership through big audacious goals that challenge teams.
“And those big thinking, those big ideas, those big audacious concepts, as a framing for the team, really, I think personified what I consider to be true leadership in an organization of people,”
Gurley argues OpenAI wouldn't exist if Google's attention mechanism paper had been patented instead of open-sourced.
“This concept was done inside of Google as an open source concept, immediately copied by all the other players. So OpenAI doesn't exist today if that's patented and controlled.”
Gerstner notes Google barely reduced headcount from 187,000 to 183,000 over the same period.
“You know, if you look at Google over that same period of time, I pulled the numbers this morning.”
Gurley argues Google's cage-match ad model generates far higher revenue than transactional models could achieve.
“Their business model is to throw their customers in a cage match and let them compete with one other to the death.”
Gurley argues Google lacks the internal culture to partner in win-win ways due to their cage-match business model.
“In addition to everything I brought up, because their core business model is to throw their customers in a cage match, they don't they don't have the culture internally to partner in a friendly win win way.”
Gerstner states Google processes 10 billion queries daily, more than one per human globally.
“So, you know, a couple queries are more than a query for every human on the planet, and it has the most efficient system in the world for doing that.”
Gerstner calculates AI answers cost 10x more than traditional search: 4 cents versus 0.3 cents per query.
“Now, what does it cost to do that for $7.50 tokens today? And of course, this will go down over time, but it's 10x more, right? It's 4¢ per query.”
Gerstner says Google offers AI engineers $500K cash plus $1.5M in monthly-vesting RSUs, totaling millions annually.
“Okay? But instead of cash, for example, Google's offering 500,000 in cash plus a million and $0.5 in RSUs vesting monthly, right, to these engineers.”
Gerstner argues users are shifting from Google's ten blue links to ChatGPT, Claude, and Apple Intelligence.
“Because people are going to turn to Apple Intelligence instead of 10 blue links to find answers to the questions they have.”
Gerstner asserts Google lost its dominance in the AI era despite dominating traditional search.
“They were dominant in 10 blue links. They are not dominant in this. There are a lot of other players in the age of”
Gerstner says big four tech companies will spend $220 billion on capex this year.
“if you look at the big four, they're gonna spend $220,000,000,000 this year on CapEx.”
Baker reports Larry Page has said internally he is willing to go bankrupt rather than lose the AI race.
“Larry Page has evidently said internally at Google many times, I am willing to go bankrupt rather than lose this race.”
Gurley explains Google's revenue per visit will fall with completed transactions because advertisers pay less for white-label rails.
“Because someone is spending marketing dollars to take that customer to their website and run the transaction with the hopes that they'll come directly back to that website.”
Patel says Google built rack-scale AI systems with Broadcom in 2018 before NVIDIA deployed similar architecture.
“Google did something very similar in 2018, right, with the TPU. Now they couldn't do it alone. Right? They know the software.”
Patel says Google deployed water cooling years before NVIDIA and achieves higher reliability than NVIDIA GPUs.
“Google's brought in water cooling for years. Right? NVIDIA only just realized they needed water cooling on this generation. And Google's brought in a level of reliability that NVIDIA GPUs don't have.”
Gurley explains missing Google despite negative signs including Yahoo's collapse and Larry and Sergey both wanting to be CEO.
“These were other search companies, right, at the time. Right. Larry and Sergey both wanted to be CEO and they were PhD students at Stanford.”
Gerstner reports organic search traffic down 20-40% as companies push AI-embedded answers above traditional results.
“They're saying organic search is down 20 to 40%. Why? Because they're putting AI on top of it. They got to push it down the page.”
Friedberg notes Google grew from $20B to $100B quarterly revenue and $2T market cap under Pichai's decade as CEO.
“Under your tenure as CEO, the stock has gone up by four and a half x to a $2,000,000,000,000 market cap today. You've grown revenue from 20,000,000,000 a quarter to nearly 100,000,000,000 a quarter.”
Friedberg states Google's search ad revenue runs at $200 billion annually out of $360 billion total revenue.
“the core search business, which the ad revenue in search is about a $200,000,000,000 run rate out of $360,000,000,000 of your total revenue, most of your profits.”
Friedberg recalls Google built shipping container data centers twenty years ago that only needed water and power.
“As long as you had access to water and power, it could connect to the internet and you could scale data center capacity all over the world. That was twenty years ago.”
Gerstner says OpenAI reached 400 billion annual searches eight years faster than Google did.
“I did I saw some analysis from my team this week will post that OpenAI reached, you know, 400,000,000,000 annual searches, eight years faster than Google.”
Gerstner says ChatGPT reached a billion searches daily eight years faster than Google did.
“ChatGPT got to a billion searches a day. Eight years faster than Google did. Is not internet time. Is AI hyper speed. It is way faster.”
Gerstner states OpenAI is four times the size Google was at IPO in revenue and searches.
“OpenAI today is four times the size that Google was when it went public in terms of revenue, in terms of searches.”
Gerstner's data shows Google page views grow 4% annually for users without ChatGPT subscriptions, contrasting with ChatGPT subscribers.
“absent ChatGDP, ChatGPT, maybe Google page views for a particular user are growing 4% per year. So we are consuming more Google.”
Gerstner's analysis shows Google page views decline 8-11% year-over-year for users who subscribe to ChatGPT.
“And you can see peak to trough is down 8% year over year. Peak to trough is, let's say, down 11. So clearly, page views are going down,”
Gerstner notes the world changed dramatically in 24 months, switching from Google to ChatGPT.
“Sam's like the world has already changed dramatically over the course of last twenty four months, but people aren't, you know, it's not changed that much about our daily lives.”
Patel reports Google is backing out of Scale AI, spending around $250 million this year but reducing future commitment.
“Google's backing out, I think they're gonna spend on the order I've heard like $250,000,000 this year with them. And they're backing out.”
Patel reports Google is spending $250 million with Scale AI this year but backing out of the partnership.
“And they're backing out. Obviously, they've spent a lot of money and there's stuff they can't back out of, but it's like, that's gonna go down a lot.”
Gerstner argues consumer ownership, not hardware, determines value; Google dominated for twenty years this way.
“The battle for the consumer is ultimately where the value accrues, Sonny, not who runs, you know, what hardware.”
Gerstner says Google's monthly token generation exploded 100x in a year, from 9 trillion to 980 trillion tokens.
“Today, it's 980,000,000,000,000 tokens. So from 9,000,000,000,000 to nine eighty, it's a 100 x increase in a year.”
Patel notes YouTube holds unique video data that gives Google training advantage despite scraping restrictions.
“I don't know what ungodly percentage of video is only on available on YouTube. And sure, you can scrape YouTube, blah blah blah.”
Friedberg left Google at 25 in 2005, walking away from stock worth a couple million dollars without full funding.
“I left all my stock options on the table, all my RSUs I'd been given. It was worth a couple million dollars, and I was 25 years old back in 2005.”
Gerstner argues Google captured 98% of all upside in search despite having 20 competitors with good technology.
“20 competitors in search. They all have pretty good technologies, but Google consumed 98% of all the upside ever associated with search.”
Patel says Google will make five to seven million TPU chips while Amazon targets three to five million.
“They're going to make something like five to 7,000,000 chips, right? Of their own TPUs. You look at Amazon, they're trying to make three to 5,000,000.”
Baker argues Google has a temporary pre-training advantage as the lowest cost producer of tokens using advanced TPUs.
“So I think Google for sure has this temporary advantage right now from a pre training perspective. I think it's also important that they've been the lowest cost producer of tokens.”
Baker says AI is the first time in his career that being the low-cost producer matters in tech.
“And this is really important because AI is the first time in my career as a tech investor that being the low cost producers ever matter.”
Baker explains Google pays Broadcom 50-55% gross margins for back-end TPU design and Taiwan Semi management.
“I think part of that is, so Google, let's say the TPU, so there's front end and back end of semiconductor design, and then there's dealing with Taiwan Semi.”
Baker explains Google pays Broadcom a 50 to 55 percent gross margin for back-end chip design and Taiwan Semi management.
“And the managing Taiwan Semi is like stamping out that house like Lennar or, you know, D. R. Horton. And for doing those two latter parts, Broadcom earns a 50 to 55% gross margin.”
Gerstner predicts Google's TPU will not match NVIDIA Rubin's token efficiency despite advantages.
“First, Google is a massive consumer of NVIDIA GPUs, Right? Not only for its own workloads, but also the workloads, you know, in Google Cloud.”
Gurley says his biggest career mistake was not pursuing Google when Larry and Sergei presented at 25 employees.
“The there's a there's a notion in venture capital about asymmetric risks. So if you if you you know, the biggest mistake of my career is I had Larry and Sergei present to the partnership when there were 25 employees at Google and we failed to chase the deal.”
Gurley says missing Google at 25 employees was his biggest career mistake, not failed investments.
“I had Larry and Sergei present to the partnership when there were 25 employees at Google and we failed to chase the deal.”
Gurley brought Larry and Sergey to Benchmark at 25 employees but the firm failed to invest in Google.
“I had the, both the fortune and now the, the kind of weight of having brought Larry and Sergey in to present to our partnership when they were 25 employees.”
Gurley clarifies Google presented to Benchmark at 25 employees shortly after he joined the firm.
“I had Larry and Sergei present to the Benchmark partnership shortly after I joined Benchmark with the company had 25 employees, Google.”
Patel predicts Google will eliminate its $100 billion annual cash flow next year by spending everything on AI infrastructure.
“Google will have no cash flow next year because they're they see AI so clearly, and they know that they need to spend every dollar they make on compute,”
Patel explains Google woke up to AI compute needs after Gemini models drove user growth.
“Google had Nano Banana and Gemini three, which caused their user metrics to skyrocket, and leadership at Google was like, oh.”
“They had 25 employees at the time, to tell you how early it was. And they presented and we failed to chase that.”
Gurley says he brought Larry and Sergei to his partnership but failed to chase the Google investment.
“I met Larry and Sergei, was very early in my career, I brought them into the partnership and they presented and we failed to lay chase.”
“Well, biggest mistake I made in my career is when I was three years into the venture capital business, I met Larry and Sergey at their office with 25 employees.”
Gurley reveals he met Larry and Sergey when Google had 25 employees but Benchmark failed to invest.
“I met Larry and Sergey at their office with 25 employees. They pitched Benchmark, and we failed to invest”
Patel predicts Google and OpenAI will both release new models in two weeks.
“Release New release in two weeks. Everyone's releasing in two weeks. Google, OpenAI, maybe Anthropic. I don't know about Anthropic, but Google and open AI definitely releasing in two weeks.”
Patel reveals Google runs three separate TPU design programs with Broadcom, MediaTek, and undisclosed partner.
“They're making a TPU with Broadcom, that's a different architecture than a TPU with MediaTek, that's a different TPU than the architecture that is, I won't disclose, by research.”
Patel explains NVLink connects only 72 GPUs while Google ICI connects 8,000 chips without switches, creating architectural trade-offs.
“NVIDIA, the NVLink can only connect 72 GPUs. For Google, their ICI can connect 8,000 chips at super high bandwidth, but you have to pass through other chips to get there because there's no switch.”