Mar 21, 2024 · 1h 26m · bg2-pod

Ep5. Stock Comp, AI Cold War, Valuations for LLM | BG2 with Bill Gurley, Brad Gerstner, & Bob Mylod · Bg2 Pod

Brad Gerstner · 36m spoken Bill Gurley · 23m spoken Bob Mylod · 20m spoken
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In Episode 5 of the BG2 Podcast, co-hosts Brad Gerstner and Bill Gurley, along with guest Bob Mylod, analyze the mechanics and governance pitfalls of Stock-Based Compensation before evaluating major technology developments, including Apple-Google AI rumors, TikTok legislation, and LLM market valuations.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Brad and Bill hold 74.1% of the talking time here. How this is scored →

Brad and Bill as informed peer 7.9 Guest teaching 3.1 Guest disagreement 1.1 Brad and Bill pushing back 2.1
05100:0020:0040:001:00:001:20:002:35–8:32 · Brad and Bill as informed peer 8/10 The Historical Context and Evolution of Stock-Based Compensation Bill Gurley provides deep historical framing on Silicon Valley stock options, the 1999 dot-com fallout, ISS governance, and the mathematical transition to RSUs under Black-Scholes models.8:32–18:21 · Brad and Bill as informed peer 7/10 Priceline's Dot-Com Collapse, FAS 123, and the Accounting Shift to RSUs Bob Mylod educates the hosts on the unintended consequences of FAS 123 and Sarbanes-Oxley during Priceline's restructuring, while Gurley pushes back to clarify that at-the-money options do hold traded market value.18:21–34:26 · Brad and Bill as informed peer 8/10 Pro-Forma Earnings Manipulation and the AI Compensation Arms Race Mylod exposes how tech companies treat SBC as zero-cost in pro-forma earnings while inflating engineering compensation, contrasting this with Booking's share count reduction strategy.34:26–46:48 · Brad and Bill as informed peer 8/10 Evaluating SBC Metrics, Board Governance, and Market Standards Gurley and Gerstner dissect the upward ratcheting effect of comp consultants and peer benchmarking, while Mylod demonstrates how annual dilution compounds against real free cash flow.46:48–57:06 · Brad and Bill as informed peer 7/10 Startup Equity Practices, Compensation Rules, and Guest Wrap-Up The discussion turns to startup compensation rules from Series A to late stage, citing Gary Steele's dramatic reduction of equity participation at Splunk.57:06–1:04:03 · Brad and Bill as informed peer 8/10 BG² Podcast Interlude Graphic Bumper Gerstner and Gurley analyze rumors of Apple partnering with Google Gemini, arguing Apple will maintain its own SLM for personal assistant functionality on handset devices.1:04:03–1:12:34 · Brad and Bill as informed peer 8/10 The TikTok US Ban Legislation and the US-China AI Cold War Gerstner and Gurley debate the TikTok divestiture bill and sovereign AI dynamics; Gurley challenges ByteDance's data assurances and points out structural asymmetry in China market access.1:12:34–1:26:44 · Brad and Bill as informed peer 9/10 Microsoft's Inflection AI Deal, LLM Switching Costs, and ERR vs. ARR The hosts analyze Microsoft's Inflection deal as a yellow flag for AI valuations, introducing the concept of Experimental Run Rate (ERR) vs. ARR and arguing that LLM switching costs approach zero.2:35–8:32 · Guest teaching 2/10 The Historical Context and Evolution of Stock-Based Compensation Bill Gurley provides deep historical framing on Silicon Valley stock options, the 1999 dot-com fallout, ISS governance, and the mathematical transition to RSUs under Black-Scholes models.8:32–18:21 · Guest teaching 7/10 Priceline's Dot-Com Collapse, FAS 123, and the Accounting Shift to RSUs Bob Mylod educates the hosts on the unintended consequences of FAS 123 and Sarbanes-Oxley during Priceline's restructuring, while Gurley pushes back to clarify that at-the-money options do hold traded market value.18:21–34:26 · Guest teaching 6/10 Pro-Forma Earnings Manipulation and the AI Compensation Arms Race Mylod exposes how tech companies treat SBC as zero-cost in pro-forma earnings while inflating engineering compensation, contrasting this with Booking's share count reduction strategy.34:26–46:48 · Guest teaching 6/10 Evaluating SBC Metrics, Board Governance, and Market Standards Gurley and Gerstner dissect the upward ratcheting effect of comp consultants and peer benchmarking, while Mylod demonstrates how annual dilution compounds against real free cash flow.46:48–57:06 · Guest teaching 4/10 Startup Equity Practices, Compensation Rules, and Guest Wrap-Up The discussion turns to startup compensation rules from Series A to late stage, citing Gary Steele's dramatic reduction of equity participation at Splunk.57:06–1:04:03 · Guest teaching 0/10 BG² Podcast Interlude Graphic Bumper Gerstner and Gurley analyze rumors of Apple partnering with Google Gemini, arguing Apple will maintain its own SLM for personal assistant functionality on handset devices.1:04:03–1:12:34 · Guest teaching 0/10 The TikTok US Ban Legislation and the US-China AI Cold War Gerstner and Gurley debate the TikTok divestiture bill and sovereign AI dynamics; Gurley challenges ByteDance's data assurances and points out structural asymmetry in China market access.1:12:34–1:26:44 · Guest teaching 0/10 Microsoft's Inflection AI Deal, LLM Switching Costs, and ERR vs. ARR The hosts analyze Microsoft's Inflection deal as a yellow flag for AI valuations, introducing the concept of Experimental Run Rate (ERR) vs. ARR and arguing that LLM switching costs approach zero.2:35–8:32 · Guest disagreement 1/10 The Historical Context and Evolution of Stock-Based Compensation Bill Gurley provides deep historical framing on Silicon Valley stock options, the 1999 dot-com fallout, ISS governance, and the mathematical transition to RSUs under Black-Scholes models.8:32–18:21 · Guest disagreement 2/10 Priceline's Dot-Com Collapse, FAS 123, and the Accounting Shift to RSUs Bob Mylod educates the hosts on the unintended consequences of FAS 123 and Sarbanes-Oxley during Priceline's restructuring, while Gurley pushes back to clarify that at-the-money options do hold traded market value.18:21–34:26 · Guest disagreement 3/10 Pro-Forma Earnings Manipulation and the AI Compensation Arms Race Mylod exposes how tech companies treat SBC as zero-cost in pro-forma earnings while inflating engineering compensation, contrasting this with Booking's share count reduction strategy.34:26–46:48 · Guest disagreement 2/10 Evaluating SBC Metrics, Board Governance, and Market Standards Gurley and Gerstner dissect the upward ratcheting effect of comp consultants and peer benchmarking, while Mylod demonstrates how annual dilution compounds against real free cash flow.46:48–57:06 · Guest disagreement 1/10 Startup Equity Practices, Compensation Rules, and Guest Wrap-Up The discussion turns to startup compensation rules from Series A to late stage, citing Gary Steele's dramatic reduction of equity participation at Splunk.57:06–1:04:03 · Guest disagreement 0/10 BG² Podcast Interlude Graphic Bumper Gerstner and Gurley analyze rumors of Apple partnering with Google Gemini, arguing Apple will maintain its own SLM for personal assistant functionality on handset devices.1:04:03–1:12:34 · Guest disagreement 0/10 The TikTok US Ban Legislation and the US-China AI Cold War Gerstner and Gurley debate the TikTok divestiture bill and sovereign AI dynamics; Gurley challenges ByteDance's data assurances and points out structural asymmetry in China market access.1:12:34–1:26:44 · Guest disagreement 0/10 Microsoft's Inflection AI Deal, LLM Switching Costs, and ERR vs. ARR The hosts analyze Microsoft's Inflection deal as a yellow flag for AI valuations, introducing the concept of Experimental Run Rate (ERR) vs. ARR and arguing that LLM switching costs approach zero.2:35–8:32 · Brad and Bill pushing back 1/10 The Historical Context and Evolution of Stock-Based Compensation Bill Gurley provides deep historical framing on Silicon Valley stock options, the 1999 dot-com fallout, ISS governance, and the mathematical transition to RSUs under Black-Scholes models.8:32–18:21 · Brad and Bill pushing back 3/10 Priceline's Dot-Com Collapse, FAS 123, and the Accounting Shift to RSUs Bob Mylod educates the hosts on the unintended consequences of FAS 123 and Sarbanes-Oxley during Priceline's restructuring, while Gurley pushes back to clarify that at-the-money options do hold traded market value.18:21–34:26 · Brad and Bill pushing back 2/10 Pro-Forma Earnings Manipulation and the AI Compensation Arms Race Mylod exposes how tech companies treat SBC as zero-cost in pro-forma earnings while inflating engineering compensation, contrasting this with Booking's share count reduction strategy.34:26–46:48 · Brad and Bill pushing back 2/10 Evaluating SBC Metrics, Board Governance, and Market Standards Gurley and Gerstner dissect the upward ratcheting effect of comp consultants and peer benchmarking, while Mylod demonstrates how annual dilution compounds against real free cash flow.46:48–57:06 · Brad and Bill pushing back 1/10 Startup Equity Practices, Compensation Rules, and Guest Wrap-Up The discussion turns to startup compensation rules from Series A to late stage, citing Gary Steele's dramatic reduction of equity participation at Splunk.57:06–1:04:03 · Brad and Bill pushing back 2/10 BG² Podcast Interlude Graphic Bumper Gerstner and Gurley analyze rumors of Apple partnering with Google Gemini, arguing Apple will maintain its own SLM for personal assistant functionality on handset devices.1:04:03–1:12:34 · Brad and Bill pushing back 4/10 The TikTok US Ban Legislation and the US-China AI Cold War Gerstner and Gurley debate the TikTok divestiture bill and sovereign AI dynamics; Gurley challenges ByteDance's data assurances and points out structural asymmetry in China market access.1:12:34–1:26:44 · Brad and Bill pushing back 2/10 Microsoft's Inflection AI Deal, LLM Switching Costs, and ERR vs. ARR The hosts analyze Microsoft's Inflection deal as a yellow flag for AI valuations, introducing the concept of Experimental Run Rate (ERR) vs. ARR and arguing that LLM switching costs approach zero.

speaking balance: gold is Brad and Bill, purple is the guest (3 minute bins)

0:00 · Brad and Bill 98.6% · guest 1.4%0:00 · Brad and Bill 98.6% · guest 1.4%3:00 · Brad and Bill 94.9% · guest 5.1%3:00 · Brad and Bill 94.9% · guest 5.1%6:00 · Brad and Bill 85% · guest 15%6:00 · Brad and Bill 85% · guest 15%9:00 · Brad and Bill 0% · guest 100%9:00 · Brad and Bill 0% · guest 100%12:00 · Brad and Bill 27.2% · guest 72.8%12:00 · Brad and Bill 27.2% · guest 72.8%15:00 · Brad and Bill 51.3% · guest 48.7%15:00 · Brad and Bill 51.3% · guest 48.7%18:00 · Brad and Bill 21.7% · guest 78.3%18:00 · Brad and Bill 21.7% · guest 78.3%21:00 · Brad and Bill 41.5% · guest 58.5%21:00 · Brad and Bill 41.5% · guest 58.5%24:00 · Brad and Bill 65.4% · guest 34.6%24:00 · Brad and Bill 65.4% · guest 34.6%27:00 · Brad and Bill 76.6% · guest 23.4%27:00 · Brad and Bill 76.6% · guest 23.4%30:00 · Brad and Bill 11.8% · guest 88.2%30:00 · Brad and Bill 11.8% · guest 88.2%33:00 · Brad and Bill 45.2% · guest 54.8%33:00 · Brad and Bill 45.2% · guest 54.8%36:00 · Brad and Bill 78.5% · guest 21.5%36:00 · Brad and Bill 78.5% · guest 21.5%39:00 · Brad and Bill 99.6% · guest 0.4%39:00 · Brad and Bill 99.6% · guest 0.4%42:00 · Brad and Bill 34.8% · guest 65.2%42:00 · Brad and Bill 34.8% · guest 65.2%45:00 · Brad and Bill 65.5% · guest 34.5%45:00 · Brad and Bill 65.5% · guest 34.5%48:00 · Brad and Bill 99.9% · guest 0.1%48:00 · Brad and Bill 99.9% · guest 0.1%51:00 · Brad and Bill 52.8% · guest 47.2%51:00 · Brad and Bill 52.8% · guest 47.2%54:00 · Brad and Bill 100% · guest 0%54:00 · Brad and Bill 100% · guest 0%57:00 · Brad and Bill 99.9% · guest 0.1%57:00 · Brad and Bill 99.9% · guest 0.1%1:00:00 · Brad and Bill 99.9% · guest 0.1%1:00:00 · Brad and Bill 99.9% · guest 0.1%1:03:00 · Brad and Bill 100% · guest 0%1:03:00 · Brad and Bill 100% · guest 0%1:06:00 · Brad and Bill 100% · guest 0%1:06:00 · Brad and Bill 100% · guest 0%1:09:00 · Brad and Bill 99.6% · guest 0.4%1:09:00 · Brad and Bill 99.6% · guest 0.4%1:12:00 · Brad and Bill 100% · guest 0%1:12:00 · Brad and Bill 100% · guest 0%1:15:00 · Brad and Bill 99.8% · guest 0.2%1:15:00 · Brad and Bill 99.8% · guest 0.2%1:18:00 · Brad and Bill 100% · guest 0%1:18:00 · Brad and Bill 100% · guest 0%1:21:00 · Brad and Bill 99.9% · guest 0.1%1:21:00 · Brad and Bill 99.9% · guest 0.1%1:24:00 · Brad and Bill 99.7% · guest 0.3%1:24:00 · Brad and Bill 99.7% · guest 0.3%
Sharpest disagreement ▶ 21:00 Mylod rejects percentage dilution framing in favor of hard cash dollars

Mylod forcefully dismisses the conventional boardroom focus on dilution percentages, arguing that dilution percentages do not appear on W-2s and obscure true compensation costs.

Hardest push from Brad and Bill ▶ 13:57 Gurley challenges the notion that stock options lack intrinsic value

Gurley directly interrupts the framing that strike-price options have no value by citing how synthetic option creation in Black-Scholes proves at-the-money options trade with real value.

Biggest teaching moment ▶ 11:15 Mylod explains how FAS 123 drove companies toward RSUs and pro-forma distortions

Mylod provides a first-hand historical account from the dot-com crash of how accounting mandates forced public CFOs to abandon options and begin pro-forming out equity costs.

Brad and Bill hold their own ▶ 1:19:32 Gerstner reframes generative AI revenues from ARR to ERR

Gerstner demonstrates proprietary market expertise by banning the term ARR for LLM business models and coining ERR to reflect zero switching costs and low revenue durability.

the scores for every segment, with the reasoning behind each
ChapterTopicBrad and Bill as informed peerGuest teachingGuest disagreementBrad and Bill pushing backWhy
The Historical Context and Evolution of Stock-Based Compensation 8211 Bill Gurley provides deep historical framing on Silicon Valley stock options, the 1999 dot-com fallout, ISS governance, and the mathematical transition to RSUs under Black-Scholes models.
Priceline's Dot-Com Collapse, FAS 123, and the Accounting Shift to RSUs 7723 Bob Mylod educates the hosts on the unintended consequences of FAS 123 and Sarbanes-Oxley during Priceline's restructuring, while Gurley pushes back to clarify that at-the-money options do hold traded market value.
Pro-Forma Earnings Manipulation and the AI Compensation Arms Race 8632 Mylod exposes how tech companies treat SBC as zero-cost in pro-forma earnings while inflating engineering compensation, contrasting this with Booking's share count reduction strategy.
Evaluating SBC Metrics, Board Governance, and Market Standards 8622 Gurley and Gerstner dissect the upward ratcheting effect of comp consultants and peer benchmarking, while Mylod demonstrates how annual dilution compounds against real free cash flow.
Startup Equity Practices, Compensation Rules, and Guest Wrap-Up 7411 The discussion turns to startup compensation rules from Series A to late stage, citing Gary Steele's dramatic reduction of equity participation at Splunk.
BG² Podcast Interlude Graphic Bumper 8002 Gerstner and Gurley analyze rumors of Apple partnering with Google Gemini, arguing Apple will maintain its own SLM for personal assistant functionality on handset devices.
The TikTok US Ban Legislation and the US-China AI Cold War 8004 Gerstner and Gurley debate the TikTok divestiture bill and sovereign AI dynamics; Gurley challenges ByteDance's data assurances and points out structural asymmetry in China market access.
Microsoft's Inflection AI Deal, LLM Switching Costs, and ERR vs. ARR 9002 The hosts analyze Microsoft's Inflection deal as a yellow flag for AI valuations, introducing the concept of Experimental Run Rate (ERR) vs. ARR and arguing that LLM switching costs approach zero.

Statements from this episode (22)

Prediction Not checkable as stated
Gerstner: Computers are not far off from surpassing all human intelligence
“We're going from this era where computers were highly efficient calculators, and I said, you know, we're not far off from it being, computers being able to reason and think, and being smarter than every human who's ever lived on the planet”
Brad Gerstner Mar 21, 2024 ▶ 1:00
Insight
Gurley: Startup option dilution drops from ~10% early on to ~3% near IPO
“When a startup would get started in early years, you might have as much as, say, 10% dilution from options. You might hire three executives during that year, and it's a big grant, but then as you move towards being public, people would typically, and these are…”
Bill Gurley Mar 21, 2024 ▶ 6:19
Insight
Gurley: Black-Scholes values one RSU at roughly 2.5 to 3 options
“There's an argument from Black Shoals that a single RSU is worth about two and a half or three options. So if you could switch From these options to an RSU, this investor thought dilution might drop from, say, four percent to 1.2% or something like that, and t…”
Bill Gurley Mar 21, 2024 ▶ 6:46
Insight
Gurley: RSUs misalign management by preserving equity value during stock drops
“Here's where we get into questions of alignment with shareholders, because you could theoretically have a management team that leads a company, you know, over a year to a 20% decline and pick up 80% of the value of their equity award. Whereas shareholders are …”
Bill Gurley Mar 21, 2024 ▶ 16:28
Insight
Mylod: Ignoring stock compensation caused 15 years of runaway tech pay
“And for a tech company, oftentimes stock-based compensation happens to be the single largest expense component of a tech company. And yet somehow inexplicably, even though it's the largest single expense component of that company it is not considered to be eve…”
Bob Mylod Mar 21, 2024 ▶ 22:04
Insight
Gerstner: Pro-forming out equity compensation leads to severe resource misallocation
“When you don't, when you proforma something out, right, when you stop treating it like cash, right, it leads to a misallocation of resources because you're effectively saying this doesn't exist, and when you know, what happens when the cost of something disapp…”
Brad Gerstner Mar 21, 2024 ▶ 23:52
Assertion Partly supported
Gurley: Microsoft's $11 billion annual SBC is only 0.35% dilution
“Microsoft's SBC is 2.8 billion a quarter. So that's over eleven billion a year. And this morning we woke up and read about them taking some employees from a hot AI company in the valley. And when you're handing out eleven billion a year in RSUs, you know, you'…”
Bill Gurley Mar 21, 2024 ▶ 29:34
Assertion Not checkable as stated
Gerstner: Only 10 of 50 tech companies keep SBC under 20% FCF
“On a chart of maybe 40 or 50 names, we have maybe 10 names that are under 20% of their free cash flow as a percentage of stock-based compensation.”
Brad Gerstner Mar 21, 2024 ▶ 36:44
Assertion Partly supported
Gurley: Netflix offers zero RSUs, letting employees choose options or cash
“Netflix today has a remarkably unique compensation structure. No one does anything like them. But today, if you're an employee, you get to choose either options or cash, and there's a slider, and you get to pick where you want to be on that slider. They don't …”
Bill Gurley Mar 21, 2024 ▶ 41:47
Opinion
Gurley: No tech CEO I work with would accept Elon Musk's pay package
“I would offer any CEO I work with the Elon package, and I'm certain none of them would take it.”
Bill Gurley Mar 21, 2024 ▶ 42:41
Insight
Mylod: Sinking 35% of free cash flow into SBC destroys company value
“If you dilute free cash flow by 30 to 35% every single year for 20 years, guess what? Your dilution is 35%, you know. It's not a half of, it's not 50 basis points, it's not one percent, it's not two percent, it's literally, you know, a third of the company.”
Bob Mylod Mar 21, 2024 ▶ 45:43
Assertion Contradicted
Gurley: Gary Steele cut Splunk's stock participation from 87% to 15%
“Gary, you know, crushed it at Proofpoint and a huge value creator, and he said, you know, in a very short window, he went, he said he took stock participation from 87% to 15.”
Bill Gurley Mar 21, 2024 ▶ 50:51
Insight
Mylod: Give employees cash instead of equity if they undervalue stock
“If we can't convince somebody that a dollar worth of stock is worth a dollar, Then you actually shouldn't grant it. You should just give a dollar of cash because they'll actually value it, you know, greater.”
Bob Mylod Mar 21, 2024 ▶ 52:19
Assertion Supported
Gurley: Netflix dilutes its share count by only 1.5% per year
“In the Netflix example I gave, you know, they're only diluting 1.5% a year, which is pretty left rail kind of thing, if you look at them on one of these charts we're going to post.”
Bill Gurley Mar 21, 2024 ▶ 56:19
Prediction Didn’t hold up
Gerstner: Apple has a near-zero probability of outsourcing its AI to Gemini
“I put the probability of them, quote unquote, outsourcing AI to Gemini at next to zero.”
Brad Gerstner Mar 21, 2024 ▶ 58:36
Opinion
Gurley: Voice AI may be more interesting than OpenAI's Sora video generator
“And by the way, on that topic, I think voice AI may be more interesting than, say, Sora or the video stuff that OpenAI released. I think more and more people are realizing, because LLMs are language models, that people would love to just talk to them.”
Bill Gurley Mar 21, 2024 ▶ 1:03:10
Prediction Not checkable as stated
Gerstner: There is a real chance TikTok shuts down within 18 months
“So I think there's a real chance that when we're looking at this, 12 to 18 months from now, that it's an absolute no go, that they can't find a middle ground and that the app is shut down.”
Brad Gerstner Mar 21, 2024 ▶ 1:07:29
Prediction Not checkable as stated
Gerstner: China will retaliate if TikTok US is shut down or banned
“It's hard for me to see a world where TikTok US is shut down or banned, where there's not some response by China.”
Brad Gerstner Mar 21, 2024 ▶ 1:08:05
Opinion
Gurley: Microsoft's Inflection deal is a warning against overpaying in AI
“This is a warning sign that you can't just pay any price For any deal in the AI sector and get paid. And cause I don't, you know, this, I don't see this now. I don't see the current status as a company that's going to have a venture-like return from here.”
Bill Gurley Mar 21, 2024 ▶ 1:17:27
Disclosure
Gerstner: Altimeter banned the term ARR for AI revenues
“I've banned the use of the term ARR within altimeter when we talk about AI revenues, because they're certainly not recurring.”
Brad Gerstner Mar 21, 2024 ▶ 1:19:48
Opinion
Gurley: LLM switching costs are remarkably low at 2 out of 100
“Today, you know, as it stands, I would say if you were to rate these LLMs on their switching cost with zero maybe being none and a hundred being perfect, I'd say they're at two. Like, it's remarkably low”
Bill Gurley Mar 21, 2024 ▶ 1:21:35
Insight
Gerstner: Enterprise switching costs reside in data gravity, not LLMs
“The switching cost is not with the LLM. I agree with you on this. The switching cost is really around where your data resides, right? We've heard this talked about data gravity.”
Brad Gerstner Mar 21, 2024 ▶ 1:24:02
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