StarZero All shows Try the podcast clipper →

Oct 21, 2025 · 33m · we-live-to-build

Value Lives in the Mind of the Customer, Not in Your Product

Dan Bilkowski · 24m spoken Sean Weisbrot · 4m spoken
0:00 / 0:00
▶ Watch on YouTube →

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Host Sean Weisbrot and pricing strategist Dan Bilkowski explore why artificial intelligence disrupts traditional SaaS economics through variable compute costs, fragmented pricing tiers, and shifting value perceptions. They outline actionable strategies for founders to move beyond cost-plus token billing and package AI features around customer psychology and business outcomes.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Sean holds 15.9% of the talking time here. How this is scored →

Sean as informed peer 2.4 Guest teaching 6.6 Guest disagreement 1.1 Sean pushing back 0.4
05100:0010:0020:0030:000:25–3:04 · Sean as informed peer 2/10 The Shift from Zero Marginal Cost to Variable Infrastructure Costs Dan provides a deep structural overview of how AI introduces real marginal infrastructure costs to software for the first time, comparing it to physical e-commerce and early electricity. Sean prompts with the opening premise and listens without interjecting.3:06–8:09 · Sean as informed peer 4/10 Foundation Models, Token Costs, and Market Price Discrepancies Dan breaks down token-based foundation model costs and probabilistic performance. Sean contributes his own concrete observations of prompt limits and context window degradation across Lovable and Cursor to ask why pricing diverges so sharply.8:13–13:11 · Sean as informed peer 1/10 Market Experimentation and the Rise of $200 Pro Tiers Dan explains how new market dynamics drive experimentation and copycat pricing, detailing how OpenAI validated the $200 pro tier by identifying power-law usage distributions. Sean remains entirely in listening mode.13:13–18:03 · Sean as informed peer 5/10 High-Tier Justification, User Workflows, and Usage Caps Sean articulates his direct experience balancing free versus paid AI tools, cross-checking outputs between ChatGPT and Gemini 2.5 Pro, and challenges the industry's friction-heavy capped pricing models compared to classic SaaS.18:04–24:32 · Sean as informed peer 2/10 Hardware Bottlenecks, Platform Subsidies, and Overage Billing Dan delivers a comprehensive analysis of the macroeconomic drivers behind AI pricing, including big tech subsidies, physical GPU bottlenecks, and predictions of SMS-style overage billing structures.24:34–31:36 · Sean as informed peer 2/10 Pricing Strategy for B2B SaaS Adding AI Capabilities Dan strongly cautions B2B founders against exposing raw token consumption to business buyers, calling it 'showing underpants' and advocating instead for value metric expansion or premium tiering.31:37–33:02 · Sean as informed peer 1/10 The Philosophy of Pricing: Psychology and Customer Value Perception Dan summarizes his core pricing philosophy, emphasizing that perceived customer value matters far more than underlying engineering bits or pure economic supply-demand curves.0:25–3:04 · Guest teaching 7/10 The Shift from Zero Marginal Cost to Variable Infrastructure Costs Dan provides a deep structural overview of how AI introduces real marginal infrastructure costs to software for the first time, comparing it to physical e-commerce and early electricity. Sean prompts with the opening premise and listens without interjecting.3:06–8:09 · Guest teaching 6/10 Foundation Models, Token Costs, and Market Price Discrepancies Dan breaks down token-based foundation model costs and probabilistic performance. Sean contributes his own concrete observations of prompt limits and context window degradation across Lovable and Cursor to ask why pricing diverges so sharply.8:13–13:11 · Guest teaching 7/10 Market Experimentation and the Rise of $200 Pro Tiers Dan explains how new market dynamics drive experimentation and copycat pricing, detailing how OpenAI validated the $200 pro tier by identifying power-law usage distributions. Sean remains entirely in listening mode.13:13–18:03 · Guest teaching 4/10 High-Tier Justification, User Workflows, and Usage Caps Sean articulates his direct experience balancing free versus paid AI tools, cross-checking outputs between ChatGPT and Gemini 2.5 Pro, and challenges the industry's friction-heavy capped pricing models compared to classic SaaS.18:04–24:32 · Guest teaching 8/10 Hardware Bottlenecks, Platform Subsidies, and Overage Billing Dan delivers a comprehensive analysis of the macroeconomic drivers behind AI pricing, including big tech subsidies, physical GPU bottlenecks, and predictions of SMS-style overage billing structures.24:34–31:36 · Guest teaching 8/10 Pricing Strategy for B2B SaaS Adding AI Capabilities Dan strongly cautions B2B founders against exposing raw token consumption to business buyers, calling it 'showing underpants' and advocating instead for value metric expansion or premium tiering.31:37–33:02 · Guest teaching 6/10 The Philosophy of Pricing: Psychology and Customer Value Perception Dan summarizes his core pricing philosophy, emphasizing that perceived customer value matters far more than underlying engineering bits or pure economic supply-demand curves.0:25–3:04 · Guest disagreement 1/10 The Shift from Zero Marginal Cost to Variable Infrastructure Costs Dan provides a deep structural overview of how AI introduces real marginal infrastructure costs to software for the first time, comparing it to physical e-commerce and early electricity. Sean prompts with the opening premise and listens without interjecting.3:06–8:09 · Guest disagreement 1/10 Foundation Models, Token Costs, and Market Price Discrepancies Dan breaks down token-based foundation model costs and probabilistic performance. Sean contributes his own concrete observations of prompt limits and context window degradation across Lovable and Cursor to ask why pricing diverges so sharply.8:13–13:11 · Guest disagreement 1/10 Market Experimentation and the Rise of $200 Pro Tiers Dan explains how new market dynamics drive experimentation and copycat pricing, detailing how OpenAI validated the $200 pro tier by identifying power-law usage distributions. Sean remains entirely in listening mode.13:13–18:03 · Guest disagreement 1/10 High-Tier Justification, User Workflows, and Usage Caps Sean articulates his direct experience balancing free versus paid AI tools, cross-checking outputs between ChatGPT and Gemini 2.5 Pro, and challenges the industry's friction-heavy capped pricing models compared to classic SaaS.18:04–24:32 · Guest disagreement 1/10 Hardware Bottlenecks, Platform Subsidies, and Overage Billing Dan delivers a comprehensive analysis of the macroeconomic drivers behind AI pricing, including big tech subsidies, physical GPU bottlenecks, and predictions of SMS-style overage billing structures.24:34–31:36 · Guest disagreement 2/10 Pricing Strategy for B2B SaaS Adding AI Capabilities Dan strongly cautions B2B founders against exposing raw token consumption to business buyers, calling it 'showing underpants' and advocating instead for value metric expansion or premium tiering.31:37–33:02 · Guest disagreement 1/10 The Philosophy of Pricing: Psychology and Customer Value Perception Dan summarizes his core pricing philosophy, emphasizing that perceived customer value matters far more than underlying engineering bits or pure economic supply-demand curves.0:25–3:04 · Sean pushing back 0/10 The Shift from Zero Marginal Cost to Variable Infrastructure Costs Dan provides a deep structural overview of how AI introduces real marginal infrastructure costs to software for the first time, comparing it to physical e-commerce and early electricity. Sean prompts with the opening premise and listens without interjecting.3:06–8:09 · Sean pushing back 1/10 Foundation Models, Token Costs, and Market Price Discrepancies Dan breaks down token-based foundation model costs and probabilistic performance. Sean contributes his own concrete observations of prompt limits and context window degradation across Lovable and Cursor to ask why pricing diverges so sharply.8:13–13:11 · Sean pushing back 0/10 Market Experimentation and the Rise of $200 Pro Tiers Dan explains how new market dynamics drive experimentation and copycat pricing, detailing how OpenAI validated the $200 pro tier by identifying power-law usage distributions. Sean remains entirely in listening mode.13:13–18:03 · Sean pushing back 2/10 High-Tier Justification, User Workflows, and Usage Caps Sean articulates his direct experience balancing free versus paid AI tools, cross-checking outputs between ChatGPT and Gemini 2.5 Pro, and challenges the industry's friction-heavy capped pricing models compared to classic SaaS.18:04–24:32 · Sean pushing back 0/10 Hardware Bottlenecks, Platform Subsidies, and Overage Billing Dan delivers a comprehensive analysis of the macroeconomic drivers behind AI pricing, including big tech subsidies, physical GPU bottlenecks, and predictions of SMS-style overage billing structures.24:34–31:36 · Sean pushing back 0/10 Pricing Strategy for B2B SaaS Adding AI Capabilities Dan strongly cautions B2B founders against exposing raw token consumption to business buyers, calling it 'showing underpants' and advocating instead for value metric expansion or premium tiering.31:37–33:02 · Sean pushing back 0/10 The Philosophy of Pricing: Psychology and Customer Value Perception Dan summarizes his core pricing philosophy, emphasizing that perceived customer value matters far more than underlying engineering bits or pure economic supply-demand curves.

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

0:00 · Sean 17.8% · guest 82.2%0:00 · Sean 17.8% · guest 82.2%3:00 · Sean 1.1% · guest 98.9%3:00 · Sean 1.1% · guest 98.9%6:00 · Sean 47.4% · guest 52.6%6:00 · Sean 47.4% · guest 52.6%9:00 · Sean 0% · guest 100%9:00 · Sean 0% · guest 100%12:00 · Sean 2.9% · guest 97.1%12:00 · Sean 2.9% · guest 97.1%15:00 · Sean 94.9% · guest 5.1%15:00 · Sean 94.9% · guest 5.1%18:00 · Sean 1.9% · guest 98.1%18:00 · Sean 1.9% · guest 98.1%21:00 · Sean 0% · guest 100%21:00 · Sean 0% · guest 100%24:00 · Sean 6.6% · guest 93.4%24:00 · Sean 6.6% · guest 93.4%27:00 · Sean 0% · guest 100%27:00 · Sean 0% · guest 100%30:00 · Sean 3.2% · guest 96.8%30:00 · Sean 3.2% · guest 96.8%33:00 · Sean 0% · guest 100%33:00 · Sean 0% · guest 100%
Sharpest disagreement ▶ 27:35 Dan strongly rejects exposing token costs to enterprise customers

Dan forcefully criticizes software companies that attempt to pass token pricing to buyers, calling it 'showing your underpants' and explaining how it derails B2B sales conversations.

 Hardest push from Sean ▶ 17:15 Sean challenges artificial usage caps vs traditional SaaS models

Sean questions why AI platforms force sudden cutoffs and waiting periods instead of standard SaaS access or transparent top-up mechanisms.

 Biggest teaching moment ▶ 28:00 Dan explains why token metrics paralyze enterprise go-to-market

Dan walks through how passing infrastructure metrics down to a sales VP creates confusion, friction, and pours sand into the company's go-to-market engine.

 Sean holds their own ▶ 15:10 Sean details his hands-on multi-LLM workflow and value assessment

Sean demonstrates deep practical experience by detailing how he cross-evaluates Gemini and ChatGPT outputs for marketing and sales while utilizing Cursor for coding.
the scores for every segment, with the reasoning behind each
ChapterTopicSean as informed peerGuest teachingGuest disagreementSean pushing backWhy
The Shift from Zero Marginal Cost to Variable Infrastructure Costs 2710 Dan provides a deep structural overview of how AI introduces real marginal infrastructure costs to software for the first time, comparing it to physical e-commerce and early electricity. Sean prompts with the opening premise and listens without interjecting.
Foundation Models, Token Costs, and Market Price Discrepancies 4611 Dan breaks down token-based foundation model costs and probabilistic performance. Sean contributes his own concrete observations of prompt limits and context window degradation across Lovable and Cursor to ask why pricing diverges so sharply.
Market Experimentation and the Rise of $200 Pro Tiers 1710 Dan explains how new market dynamics drive experimentation and copycat pricing, detailing how OpenAI validated the $200 pro tier by identifying power-law usage distributions. Sean remains entirely in listening mode.
High-Tier Justification, User Workflows, and Usage Caps 5412 Sean articulates his direct experience balancing free versus paid AI tools, cross-checking outputs between ChatGPT and Gemini 2.5 Pro, and challenges the industry's friction-heavy capped pricing models compared to classic SaaS.
Hardware Bottlenecks, Platform Subsidies, and Overage Billing 2810 Dan delivers a comprehensive analysis of the macroeconomic drivers behind AI pricing, including big tech subsidies, physical GPU bottlenecks, and predictions of SMS-style overage billing structures.
Pricing Strategy for B2B SaaS Adding AI Capabilities 2820 Dan strongly cautions B2B founders against exposing raw token consumption to business buyers, calling it 'showing underpants' and advocating instead for value metric expansion or premium tiering.
The Philosophy of Pricing: Psychology and Customer Value Perception 1610 Dan summarizes his core pricing philosophy, emphasizing that perceived customer value matters far more than underlying engineering bits or pure economic supply-demand curves.

Statements from this episode (8)

Insight
Bilkowski: AI features introduce significant variable costs to traditional SaaS economics
“For the longest time, the incremental cost of serving an additional customer has been net negligible, effectively zero for AWS storage network and compute. And so now companies, as they're building in AI enabled capabilities into their platforms are seeing sig…”
Dan Bilkowski Oct 21, 2025 ▶ 0:51
Insight
Bilkowski: Probabilistic AI Models Prevent Deterministic Unit Costing in Software
“These systems have this other effect where they're probabilistic, not deterministic... And so you can't just say, oh, deterministically, this is how much it's going to cost us. And so the companies are in this area of exploration right now, where that's causin…”
Dan Bilkowski Oct 21, 2025 ▶ 6:04
Insight
Bilkowski: SaaS companies fail to charge premium prices due to baseline anchoring
“Those companies are often anchored to what they have in market today, and very rarely are they willing to even consider, oh, maybe someone would be out there who would pay a hundred bucks per seat, but that's very much what can happen when you start to look at…”
Dan Bilkowski Oct 21, 2025 ▶ 12:49
Insight
Bilkowski: Premium AI plans are a no-brainer by replacing junior software developers
“And that can be, you know, if you're, you know, if your business is relying on it may be a no brainer because you're like, Hey, we're, I'm using this to write code, that code I'm able to sell for, you know, 10, 20 X, whatever I'm paying, you know, open AI. And…”
Dan Bilkowski Oct 21, 2025 ▶ 14:45
Opinion
Bilkowski: Google can lose money on AI indefinitely to pressure rivals
“They could lose money on their AI, like basically indefinitely. They could run the clock out on everyone else if they really wanted to, you know, keep pricing pressure on the market and run those other companies out of business because they can fund that type …”
Dan Bilkowski Oct 21, 2025 ▶ 18:51
Prediction Held up
Bilkowski: AI tools will adopt baseline platform fees with token overages
“Something like, say, a cursor or a lovable is a, you know, intermediary between you and these models. Likely what will happen is some sort of baseline platform fee, and then what looks like a added, added value cost per token on top of that that's fluctuating.”
Dan Bilkowski Oct 21, 2025 ▶ 22:37
Opinion
Bilkowski: Microsoft Copilot's value fell short of its pricing promise
“Turns out that the capabilities weren't quite there. And so I think that the, you know, the promise of the value was greater than what the realization was.”
Dan Bilkowski Oct 21, 2025 ▶ 27:16
Insight
Bilkowski: SaaS companies should never charge customers per token
“So now I'm also going to chart besides per seat, you know, charging you dollars per seat, but now I'm also going to charge you per token. This is a no, no. I call this showing your customers your underpants. You don't want to show your customers your underpant…”
Dan Bilkowski Oct 21, 2025 ▶ 28:55
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 300 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.

Try the podcast clipper Learn more