Oct 11, 2024 · 27m · big-technology

OpenAI's Leaked Financial Data

Alex Kantrowitz · 14m spoken Cory Weinberg · 11m spoken
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Tech analysts Alex Kantrowitz, Corey, and Ranjan analyze OpenAI's leaked financial projections, examining the company's heavy reliance on consumer ChatGPT subscriptions, staggering compute expenditures, and controversial accounting practices. They assess whether Sam Altman's aggressive fundraising strategy can sustain billions in projected operating losses in the race for generative AI leadership.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Alex holds 56.9% of the talking time here. How this is scored →

Alex as informed peer 6.9 Guest teaching 4.3 Guest disagreement 1.1 Alex pushing back 2.9
05100:0010:0020:000:00–4:18 · Alex as informed peer 7/10 Leaked Projections Reveal ChatGPT as OpenAI's Core Revenue Driver Alex cites detailed numbers from Cory's reporting on OpenAI's projected 100-fold revenue increase driven by ChatGPT rather than APIs. Cory contextualizes the data as optimistic startup fundraising projections and notes API commoditization.4:19–7:47 · Alex as informed peer 6/10 Foundational Model Commoditization and the Consumer Platform Strategy Alex questions whether OpenAI is tacitly conceding it cannot sustain model supremacy over Mistral and Anthropic. Cory agrees foundational models are tightly clustered, making consumer and enterprise UI branding the primary moat.7:48–11:28 · Alex as informed peer 8/10 Dissecting OpenAI's Revenue Versus Astronomical Cost Structure Alex meticulously walks through the leaked expense waterfall showing how $4B in revenue collapses into a $5B loss across compute, salaries, and revenue shares. Cory elaborates on the scale of training versus inference compute costs.11:29–14:13 · Alex as informed peer 8/10 Unconventional SaaS Metrics and Circular Industry Investments Alex highlights abnormal software metrics like 7% S&M spend and a 41% gross margin, challenging circular venture dynamics. Cory explains Thrive Capital's aligned relationship-driven incentive structure.14:13–18:15 · Alex as informed peer 6/10 Cloud Accounting Complexities and the Microsoft-OpenAI Entanglement Cory corrects the timing on Microsoft compute expensing and explains how non-cash cloud credits distort actual cash burn versus reported income statement losses. Alex examines OpenAI's push to diversify compute vendors beyond Azure.18:15–21:59 · Alex as informed peer 7/10 Evaluating the Feasibility of Chatbot Subscriptions Offsetting Losses Alex questions whether consumer subscriptions could ever recoup a projected $14B loss in 2026 without reaching AGI. Cory reframes the revenue problem, emphasizing that sustainable growth requires deep enterprise agentic integration rather than casual early adopters.21:59–24:09 · Alex as informed peer 5/10 Capital Depletion Timelines and Sam Altman's Fundraising Strategy Alex presses on OpenAI's capital depletion timeline. Cory calculates their runway using balance sheet cash, revolving credit facilities, and remaining Microsoft credits, projecting their next raise by 2026.24:11–27:49 · Alex as informed peer 8/10 The 'LLM-Adjusted EBITDA' Debate and Training Cost Accountability Alex vehemently rejects OpenAI's non-GAAP accounting framing of excluding training compute from profitability, arguing rapid model obsolescence makes training an unavoidable recurring cost. Cory compares the metric to WeWork's infamous community-adjusted EBITDA.0:00–4:18 · Guest teaching 5/10 Leaked Projections Reveal ChatGPT as OpenAI's Core Revenue Driver Alex cites detailed numbers from Cory's reporting on OpenAI's projected 100-fold revenue increase driven by ChatGPT rather than APIs. Cory contextualizes the data as optimistic startup fundraising projections and notes API commoditization.4:19–7:47 · Guest teaching 4/10 Foundational Model Commoditization and the Consumer Platform Strategy Alex questions whether OpenAI is tacitly conceding it cannot sustain model supremacy over Mistral and Anthropic. Cory agrees foundational models are tightly clustered, making consumer and enterprise UI branding the primary moat.7:48–11:28 · Guest teaching 4/10 Dissecting OpenAI's Revenue Versus Astronomical Cost Structure Alex meticulously walks through the leaked expense waterfall showing how $4B in revenue collapses into a $5B loss across compute, salaries, and revenue shares. Cory elaborates on the scale of training versus inference compute costs.11:29–14:13 · Guest teaching 3/10 Unconventional SaaS Metrics and Circular Industry Investments Alex highlights abnormal software metrics like 7% S&M spend and a 41% gross margin, challenging circular venture dynamics. Cory explains Thrive Capital's aligned relationship-driven incentive structure.14:13–18:15 · Guest teaching 6/10 Cloud Accounting Complexities and the Microsoft-OpenAI Entanglement Cory corrects the timing on Microsoft compute expensing and explains how non-cash cloud credits distort actual cash burn versus reported income statement losses. Alex examines OpenAI's push to diversify compute vendors beyond Azure.18:15–21:59 · Guest teaching 4/10 Evaluating the Feasibility of Chatbot Subscriptions Offsetting Losses Alex questions whether consumer subscriptions could ever recoup a projected $14B loss in 2026 without reaching AGI. Cory reframes the revenue problem, emphasizing that sustainable growth requires deep enterprise agentic integration rather than casual early adopters.21:59–24:09 · Guest teaching 6/10 Capital Depletion Timelines and Sam Altman's Fundraising Strategy Alex presses on OpenAI's capital depletion timeline. Cory calculates their runway using balance sheet cash, revolving credit facilities, and remaining Microsoft credits, projecting their next raise by 2026.24:11–27:49 · Guest teaching 2/10 The 'LLM-Adjusted EBITDA' Debate and Training Cost Accountability Alex vehemently rejects OpenAI's non-GAAP accounting framing of excluding training compute from profitability, arguing rapid model obsolescence makes training an unavoidable recurring cost. Cory compares the metric to WeWork's infamous community-adjusted EBITDA.0:00–4:18 · Guest disagreement 1/10 Leaked Projections Reveal ChatGPT as OpenAI's Core Revenue Driver Alex cites detailed numbers from Cory's reporting on OpenAI's projected 100-fold revenue increase driven by ChatGPT rather than APIs. Cory contextualizes the data as optimistic startup fundraising projections and notes API commoditization.4:19–7:47 · Guest disagreement 1/10 Foundational Model Commoditization and the Consumer Platform Strategy Alex questions whether OpenAI is tacitly conceding it cannot sustain model supremacy over Mistral and Anthropic. Cory agrees foundational models are tightly clustered, making consumer and enterprise UI branding the primary moat.7:48–11:28 · Guest disagreement 1/10 Dissecting OpenAI's Revenue Versus Astronomical Cost Structure Alex meticulously walks through the leaked expense waterfall showing how $4B in revenue collapses into a $5B loss across compute, salaries, and revenue shares. Cory elaborates on the scale of training versus inference compute costs.11:29–14:13 · Guest disagreement 1/10 Unconventional SaaS Metrics and Circular Industry Investments Alex highlights abnormal software metrics like 7% S&M spend and a 41% gross margin, challenging circular venture dynamics. Cory explains Thrive Capital's aligned relationship-driven incentive structure.14:13–18:15 · Guest disagreement 1/10 Cloud Accounting Complexities and the Microsoft-OpenAI Entanglement Cory corrects the timing on Microsoft compute expensing and explains how non-cash cloud credits distort actual cash burn versus reported income statement losses. Alex examines OpenAI's push to diversify compute vendors beyond Azure.18:15–21:59 · Guest disagreement 2/10 Evaluating the Feasibility of Chatbot Subscriptions Offsetting Losses Alex questions whether consumer subscriptions could ever recoup a projected $14B loss in 2026 without reaching AGI. Cory reframes the revenue problem, emphasizing that sustainable growth requires deep enterprise agentic integration rather than casual early adopters.21:59–24:09 · Guest disagreement 1/10 Capital Depletion Timelines and Sam Altman's Fundraising Strategy Alex presses on OpenAI's capital depletion timeline. Cory calculates their runway using balance sheet cash, revolving credit facilities, and remaining Microsoft credits, projecting their next raise by 2026.24:11–27:49 · Guest disagreement 1/10 The 'LLM-Adjusted EBITDA' Debate and Training Cost Accountability Alex vehemently rejects OpenAI's non-GAAP accounting framing of excluding training compute from profitability, arguing rapid model obsolescence makes training an unavoidable recurring cost. Cory compares the metric to WeWork's infamous community-adjusted EBITDA.0:00–4:18 · Alex pushing back 2/10 Leaked Projections Reveal ChatGPT as OpenAI's Core Revenue Driver Alex cites detailed numbers from Cory's reporting on OpenAI's projected 100-fold revenue increase driven by ChatGPT rather than APIs. Cory contextualizes the data as optimistic startup fundraising projections and notes API commoditization.4:19–7:47 · Alex pushing back 3/10 Foundational Model Commoditization and the Consumer Platform Strategy Alex questions whether OpenAI is tacitly conceding it cannot sustain model supremacy over Mistral and Anthropic. Cory agrees foundational models are tightly clustered, making consumer and enterprise UI branding the primary moat.7:48–11:28 · Alex pushing back 2/10 Dissecting OpenAI's Revenue Versus Astronomical Cost Structure Alex meticulously walks through the leaked expense waterfall showing how $4B in revenue collapses into a $5B loss across compute, salaries, and revenue shares. Cory elaborates on the scale of training versus inference compute costs.11:29–14:13 · Alex pushing back 3/10 Unconventional SaaS Metrics and Circular Industry Investments Alex highlights abnormal software metrics like 7% S&M spend and a 41% gross margin, challenging circular venture dynamics. Cory explains Thrive Capital's aligned relationship-driven incentive structure.14:13–18:15 · Alex pushing back 2/10 Cloud Accounting Complexities and the Microsoft-OpenAI Entanglement Cory corrects the timing on Microsoft compute expensing and explains how non-cash cloud credits distort actual cash burn versus reported income statement losses. Alex examines OpenAI's push to diversify compute vendors beyond Azure.18:15–21:59 · Alex pushing back 3/10 Evaluating the Feasibility of Chatbot Subscriptions Offsetting Losses Alex questions whether consumer subscriptions could ever recoup a projected $14B loss in 2026 without reaching AGI. Cory reframes the revenue problem, emphasizing that sustainable growth requires deep enterprise agentic integration rather than casual early adopters.21:59–24:09 · Alex pushing back 2/10 Capital Depletion Timelines and Sam Altman's Fundraising Strategy Alex presses on OpenAI's capital depletion timeline. Cory calculates their runway using balance sheet cash, revolving credit facilities, and remaining Microsoft credits, projecting their next raise by 2026.24:11–27:49 · Alex pushing back 6/10 The 'LLM-Adjusted EBITDA' Debate and Training Cost Accountability Alex vehemently rejects OpenAI's non-GAAP accounting framing of excluding training compute from profitability, arguing rapid model obsolescence makes training an unavoidable recurring cost. Cory compares the metric to WeWork's infamous community-adjusted EBITDA.

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

0:00 · Alex 52.4% · guest 47.6%0:00 · Alex 52.4% · guest 47.6%3:00 · Alex 49.8% · guest 50.2%3:00 · Alex 49.8% · guest 50.2%6:00 · Alex 84.1% · guest 15.9%6:00 · Alex 84.1% · guest 15.9%9:00 · Alex 35.8% · guest 64.2%9:00 · Alex 35.8% · guest 64.2%12:00 · Alex 65.9% · guest 34.1%12:00 · Alex 65.9% · guest 34.1%15:00 · Alex 48.8% · guest 51.2%15:00 · Alex 48.8% · guest 51.2%18:00 · Alex 76.6% · guest 23.4%18:00 · Alex 76.6% · guest 23.4%21:00 · Alex 27.7% · guest 72.3%21:00 · Alex 27.7% · guest 72.3%24:00 · Alex 64.7% · guest 35.3%24:00 · Alex 64.7% · guest 35.3%27:00 · Alex 83.5% · guest 16.5%27:00 · Alex 83.5% · guest 16.5%
Sharpest disagreement ▶ 20:33 Guest counters consumer focus by pointing to enterprise necessity

Cory counters the consumer chatbot subscription assumption, arguing consumer adoption is largely early adopters and that only deep enterprise integration can generate meaningful returns.

Hardest push from Alex ▶ 26:31 Host forcefully refutes 'LLM-adjusted' profitability metrics

Alex forcefully rejects OpenAI's framing of excluding training compute from cost of goods sold, arguing model obsolescence proves training is an ongoing core operating expense.

Biggest teaching moment ▶ 16:20 Guest clarifies non-cash accounting distortion from Azure credits

Cory educates the host on how Microsoft's compute credits obscure OpenAI's true cash burn, making income statement losses appear disconnected from actual cash leaving the business.

Alex holds their own ▶ 8:05 Host dissects leaked income statement line by line

Alex demonstrates commanding knowledge of tech unit economics by walking through every leaked line item from OpenAI's $4B revenue to its $5B net deficit.

the scores for every segment, with the reasoning behind each
ChapterTopicAlex as informed peerGuest teachingGuest disagreementAlex pushing backWhy
Leaked Projections Reveal ChatGPT as OpenAI's Core Revenue Driver 7512 Alex cites detailed numbers from Cory's reporting on OpenAI's projected 100-fold revenue increase driven by ChatGPT rather than APIs. Cory contextualizes the data as optimistic startup fundraising projections and notes API commoditization.
Foundational Model Commoditization and the Consumer Platform Strategy 6413 Alex questions whether OpenAI is tacitly conceding it cannot sustain model supremacy over Mistral and Anthropic. Cory agrees foundational models are tightly clustered, making consumer and enterprise UI branding the primary moat.
Dissecting OpenAI's Revenue Versus Astronomical Cost Structure 8412 Alex meticulously walks through the leaked expense waterfall showing how $4B in revenue collapses into a $5B loss across compute, salaries, and revenue shares. Cory elaborates on the scale of training versus inference compute costs.
Unconventional SaaS Metrics and Circular Industry Investments 8313 Alex highlights abnormal software metrics like 7% S&M spend and a 41% gross margin, challenging circular venture dynamics. Cory explains Thrive Capital's aligned relationship-driven incentive structure.
Cloud Accounting Complexities and the Microsoft-OpenAI Entanglement 6612 Cory corrects the timing on Microsoft compute expensing and explains how non-cash cloud credits distort actual cash burn versus reported income statement losses. Alex examines OpenAI's push to diversify compute vendors beyond Azure.
Evaluating the Feasibility of Chatbot Subscriptions Offsetting Losses 7423 Alex questions whether consumer subscriptions could ever recoup a projected $14B loss in 2026 without reaching AGI. Cory reframes the revenue problem, emphasizing that sustainable growth requires deep enterprise agentic integration rather than casual early adopters.
Capital Depletion Timelines and Sam Altman's Fundraising Strategy 5612 Alex presses on OpenAI's capital depletion timeline. Cory calculates their runway using balance sheet cash, revolving credit facilities, and remaining Microsoft credits, projecting their next raise by 2026.
The 'LLM-Adjusted EBITDA' Debate and Training Cost Accountability 8216 Alex vehemently rejects OpenAI's non-GAAP accounting framing of excluding training compute from profitability, arguing rapid model obsolescence makes training an unavoidable recurring cost. Cory compares the metric to WeWork's infamous community-adjusted EBITDA.

Statements from this episode (17)

Assertion Supported
Kantrowitz: OpenAI Projects 100x Revenue Surge by 2029 Driven by ChatGPT
“Chat GPT is what open AI expects to lead its revenue which it expects to increase, it expects revenue, its revenue to increase a hundred fold by 20, 29. And the bulk of that revenue is going to be coming from ChatGPT according to OpenAI's projections”
Alex Kantrowitz Oct 11, 2024 ▶ 0:41
Opinion
Weinberg: OpenAI's API Access Is Underpriced and Vulnerable to Commoditization
“And it seems like the API revenue is, is, you know, maybe they're kind of giving away, giving it away more than they are actually like charging the full value of it. And it's also more easily commoditized.”
Cory Weinberg Oct 11, 2024 ▶ 2:57
Assertion Supported
Kantrowitz: Microsoft Takes 20% Revenue Share Off Top of OpenAI's Earnings
“Microsoft's revenue share right off the top of that four billion is seven hundred million. So it looks like what they're making something like 20% of all open AI revenue.”
Alex Kantrowitz Oct 11, 2024 ▶ 8:26
Assertion Supported
Kantrowitz: Leaked Financials Show OpenAI Projects $5B Loss on $4B Revenue
“And you go from this very nice looking four billion in revenue after you add in all these costs to a five billion dollar loss. And that excludes stock based compensation, by the way, which is going to be another major cost.”
Alex Kantrowitz Oct 11, 2024 ▶ 9:10
Assertion Supported
Kantrowitz: OpenAI Spends Only 7% of Revenue on Sales and Marketing
“First, sales and marketing at three hundred million out of four billion in revenue, that's around seven percent.”
Alex Kantrowitz Oct 11, 2024 ▶ 11:39
Assertion Supported
Kantrowitz: OpenAI's 41% Gross Margin Trails Far Behind 70% Software Baseline
“The other was gross margin, which you'd reported 41%, where typically software is, I mean, 70% is the baseline.”
Alex Kantrowitz Oct 11, 2024 ▶ 12:12
Insight
Kantrowitz: AI's High Compute Costs Break Traditional Software Accounting Models
“There's no standard accounting practice for how to amortize The value of a large language model because it's so different in the past. You build software, you have like essentially zero marginal cost. It can go forever. That's it. This is a much more cost inte…”
Alex Kantrowitz Oct 11, 2024 ▶ 15:26
Assertion Not checkable as stated
Weinberg: OpenAI's True Cash Burn Masked by Microsoft Compute Credits
“You look at sort of the actual cash Leaving open AI. And it's a lot lower than you would think compared to their income statement. Losses because so much of the expense is tied up in Microsoft compute credits, which is not technically a cash item.”
Cory Weinberg Oct 11, 2024 ▶ 16:34
Assertion Not checkable as stated
Weinberg: OpenAI CFO Tells Staff Compute Sourcing Will Expand Beyond Microsoft
“Sarah Fryer, open AI CFO has told employees that look, we're going to spend some of the six, And a half billion dollars you know, racing also to develop data centers with other potential sort of companies.”
Cory Weinberg Oct 11, 2024 ▶ 17:27
Assertion Supported
Kantrowitz: OpenAI Projects Massive $9.5B Model Training Spend in 2026
“They're expecting to spend 9.5 billion, essentially on training alone, right? For up from three this year in 20, 26.”
Alex Kantrowitz Oct 11, 2024 ▶ 18:22
Assertion Supported
Kantrowitz: Leaked Projections Show OpenAI Losing $14B in 2026
“And Corey, you report that their loss, excluding stock comp could be fourteen billion in 20, 26.”
Alex Kantrowitz Oct 11, 2024 ▶ 18:32
Opinion
Kantrowitz: ChatGPT Must Essentially Reach AGI to Justify Projected Costs
“So how much better does ChatGPT need to get to start to justify those costs? I would say like, it would basically have to be AGI.”
Alex Kantrowitz Oct 11, 2024 ▶ 19:15
Opinion
Weinberg: Bear Case Suggests OpenAI Revenue Driven by Experimenting Early Adopters
“I think right now the bear case is like a lot of this revenue is from early adopters who are, you know, sort of playing around with the stuff.”
Cory Weinberg Oct 11, 2024 ▶ 21:09
Assertion Not checkable as stated
Weinberg: OpenAI Was Down to $1B Cash Before Recent $6.6B Fundraise
“Look, they had a billion dollars on their balance sheet when they went out to raise the 6.6 billion dollars.”
Cory Weinberg Oct 11, 2024 ▶ 23:26
Prediction Held up
Weinberg: OpenAI Will Need to Raise Capital Again by 2026
“My back of the envelope would say 20, 26 at the latest”
Cory Weinberg Oct 11, 2024 ▶ 23:45
Opinion
Weinberg: Sam Altman's Fundraising Prowess Is OpenAI's Edge Over Anthropic
“This is their competitive advantage is over like anthropic is clearly Sam Altman being one of the best fundraisers in the world.”
Cory Weinberg Oct 11, 2024 ▶ 23:45
Assertion Supported
Kantrowitz: OpenAI's Profitability Pitch to Investors Excludes Billions in Training Costs
“OpenAI is emphasizing to investors a metric of profitability that excludes some major expenses, such as the billions it's spending annually on training its large language models.”
Alex Kantrowitz Oct 11, 2024 ▶ 24:40
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