Jul 9, 2026 · 1h 15m · mad

The "Token Heist" Wiping Out AI Startups | Emily Sands (Stripe)

Emily Glassberg Sands · 1h 1m spoken Matt Turck · 9m spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of The MAD Podcast, Stripe's Head of Data and AI Emily Sands details the financial architecture powering agentic commerce, token monetization models, security defenses against token theft, and the future of autonomous economic agents.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 13.1% of the talking time here. How this is scored →

Matt as informed peer 2.8 Guest teaching 5.9 Guest disagreement 0.1 Matt pushing back 0.6
05100:0020:0040:001:00:001:24–5:50 · Matt as informed peer 2/10 The Evolution and Spectrum of Agentic Commerce Matt opens by asking what has transitioned from theoretical to reality over the past year in agentic commerce. Emily educates the host on the full spectrum of agentic transactions, ranging from fully autonomous agent-to-agent protocols down to human-guided in-app buy buttons.5:50–11:38 · Matt as informed peer 4/10 Framing the Levels of Agent Autonomy in Commerce Matt demonstrates industry knowledge by proposing an autonomy level framework akin to self-driving cars, which Emily confirms Stripe literally uses. Emily goes on to explain the adoption of the Agentic Commerce Protocol (ACP) co-developed with OpenAI.11:38–16:56 · Matt as informed peer 3/10 Economic Dynamics of Autonomous Agent-to-Agent Transactions Matt asks about the ultimate vision for agent-to-agent negotiations and economic impact. Emily cites economic theory on transaction friction (Coase theorem) and Census Bureau data showing a surge in high-earning solopreneurs running AI-assisted businesses.16:56–21:22 · Matt as informed peer 4/10 Addressing Trust and Adoption Roadblocks in Financial AI Matt inquires about adoption roadblocks, specifically trust versus technical limitations, contributing historical context about early consumer hesitation to input credit cards online. Emily explains how trust is built incrementally through repetitions and wallet guardrails.21:22–23:31 · Matt as informed peer 2/10 Evaluating User Experience Shortfalls in AI Shopping Apps Matt asks for specific examples of where current AI shopping user experiences fall short. Emily explains that LLMs lack complete deterministic metadata regarding inventory levels and price parameters.23:31–28:03 · Matt as informed peer 3/10 The Link Wallet for Autonomous Agents and Consumer Controls Matt asks how Link Wallet functions for agents and seeks clarification on whether it relies on virtual single-use credit cards. Emily explains the transition from scoped one-time virtual cards to consolidated multi-credential agent wallets.28:03–31:42 · Matt as informed peer 3/10 Shared Payment Tokens and Programmable Spending Rules Matt prompts Emily on the mechanics of Shared Payment Tokens, double-clicking on programmable spending restrictions. Emily outlines how payment rules can restrict geography, spend caps, and merchant categories.31:42–37:41 · Matt as informed peer 3/10 Risk Management, Merchant of Record, and Transaction Safety Matt presses on liability and legal recourse when autonomous purchases go wrong, questioning how courts will handle faulty agent actions. Emily explains design principles that keep businesses as the merchant of record and integrate real-time fraud scoring via Stripe Radar.37:41–42:52 · Matt as informed peer 3/10 Vibe Deployment and the Launch of Stripe Projects CLI Matt asks Emily to define 'vibe deployment.' Emily presents striking internal data revealing that 40% of Stripe documentation traffic and 70% of command-line interface requests are generated directly by AI agents.42:52–47:15 · Matt as informed peer 3/10 Token Monetization and Usage-Based Billing Models Matt asks whether AI startups have completely abandoned seat-based pricing for usage-based billing. Emily explains how non-zero marginal costs force AI companies into usage meters or hybrid subscription-plus-credit models.47:15–50:36 · Matt as informed peer 2/10 Streaming Real-Time Payments and Metronome Accounting Matt asks how billing infrastructure changes when servicing autonomous agents. Emily details real-time metering via Metronome and streaming payments via Tempo, noting the emergence of hybrid software-engineer accountants.50:36–1:01:15 · Matt as informed peer 3/10 Combating Token Theft and Fraud Across AI Lifecycles Matt asks Emily to elaborate on 'token theft' as a novel fraud vector. Emily educates the host on how fraudsters target compute tokens instead of cash, revealing that over 1 in 6 AI company signups involve multi-account abuse.1:01:15–1:04:13 · Matt as informed peer 2/10 Machine Payments Protocol and Streaming Stablecoin Payments Matt invites Emily to explain the Machine Payments Protocol (MPP). Emily outlines the protocol's machine-readable handshake between autonomous agents and API providers using stablecoins.1:04:15–1:09:01 · Matt as informed peer 2/10 Macro Trends and Growth in AI Startups Matt asks for broader growth trends in AI startups. Emily shares that startups from the 2026 Stripe Atlas cohort are tracking to five times the revenue of the previous year's cohort at the same age due to day-one international expansion.1:09:01–1:11:19 · Matt as informed peer 4/10 Managing Token Costs and AI Spend Efficiency Matt challenges whether unexpected token costs could trigger an enterprise backlash against AI spend. Emily gently reframes the issue, explaining that token costs represent a manageable single-digit percentage of headcount expense that well-managed firms recalibrate via model routing.1:11:19–1:14:31 · Matt as informed peer 2/10 Predictions for AI Commerce and Autonomous Agents Matt asks for predictions on where agentic commerce will land in 12 months. Emily outlines a vision where agents evolve into complete micro-firms that autonomously provision infrastructure, purchase APIs, and sell services.1:24–5:50 · Guest teaching 6/10 The Evolution and Spectrum of Agentic Commerce Matt opens by asking what has transitioned from theoretical to reality over the past year in agentic commerce. Emily educates the host on the full spectrum of agentic transactions, ranging from fully autonomous agent-to-agent protocols down to human-guided in-app buy buttons.5:50–11:38 · Guest teaching 5/10 Framing the Levels of Agent Autonomy in Commerce Matt demonstrates industry knowledge by proposing an autonomy level framework akin to self-driving cars, which Emily confirms Stripe literally uses. Emily goes on to explain the adoption of the Agentic Commerce Protocol (ACP) co-developed with OpenAI.11:38–16:56 · Guest teaching 7/10 Economic Dynamics of Autonomous Agent-to-Agent Transactions Matt asks about the ultimate vision for agent-to-agent negotiations and economic impact. Emily cites economic theory on transaction friction (Coase theorem) and Census Bureau data showing a surge in high-earning solopreneurs running AI-assisted businesses.16:56–21:22 · Guest teaching 5/10 Addressing Trust and Adoption Roadblocks in Financial AI Matt inquires about adoption roadblocks, specifically trust versus technical limitations, contributing historical context about early consumer hesitation to input credit cards online. Emily explains how trust is built incrementally through repetitions and wallet guardrails.21:22–23:31 · Guest teaching 5/10 Evaluating User Experience Shortfalls in AI Shopping Apps Matt asks for specific examples of where current AI shopping user experiences fall short. Emily explains that LLMs lack complete deterministic metadata regarding inventory levels and price parameters.23:31–28:03 · Guest teaching 6/10 The Link Wallet for Autonomous Agents and Consumer Controls Matt asks how Link Wallet functions for agents and seeks clarification on whether it relies on virtual single-use credit cards. Emily explains the transition from scoped one-time virtual cards to consolidated multi-credential agent wallets.28:03–31:42 · Guest teaching 5/10 Shared Payment Tokens and Programmable Spending Rules Matt prompts Emily on the mechanics of Shared Payment Tokens, double-clicking on programmable spending restrictions. Emily outlines how payment rules can restrict geography, spend caps, and merchant categories.31:42–37:41 · Guest teaching 6/10 Risk Management, Merchant of Record, and Transaction Safety Matt presses on liability and legal recourse when autonomous purchases go wrong, questioning how courts will handle faulty agent actions. Emily explains design principles that keep businesses as the merchant of record and integrate real-time fraud scoring via Stripe Radar.37:41–42:52 · Guest teaching 7/10 Vibe Deployment and the Launch of Stripe Projects CLI Matt asks Emily to define 'vibe deployment.' Emily presents striking internal data revealing that 40% of Stripe documentation traffic and 70% of command-line interface requests are generated directly by AI agents.42:52–47:15 · Guest teaching 6/10 Token Monetization and Usage-Based Billing Models Matt asks whether AI startups have completely abandoned seat-based pricing for usage-based billing. Emily explains how non-zero marginal costs force AI companies into usage meters or hybrid subscription-plus-credit models.47:15–50:36 · Guest teaching 6/10 Streaming Real-Time Payments and Metronome Accounting Matt asks how billing infrastructure changes when servicing autonomous agents. Emily details real-time metering via Metronome and streaming payments via Tempo, noting the emergence of hybrid software-engineer accountants.50:36–1:01:15 · Guest teaching 8/10 Combating Token Theft and Fraud Across AI Lifecycles Matt asks Emily to elaborate on 'token theft' as a novel fraud vector. Emily educates the host on how fraudsters target compute tokens instead of cash, revealing that over 1 in 6 AI company signups involve multi-account abuse.1:01:15–1:04:13 · Guest teaching 5/10 Machine Payments Protocol and Streaming Stablecoin Payments Matt invites Emily to explain the Machine Payments Protocol (MPP). Emily outlines the protocol's machine-readable handshake between autonomous agents and API providers using stablecoins.1:04:15–1:09:01 · Guest teaching 7/10 Macro Trends and Growth in AI Startups Matt asks for broader growth trends in AI startups. Emily shares that startups from the 2026 Stripe Atlas cohort are tracking to five times the revenue of the previous year's cohort at the same age due to day-one international expansion.1:09:01–1:11:19 · Guest teaching 5/10 Managing Token Costs and AI Spend Efficiency Matt challenges whether unexpected token costs could trigger an enterprise backlash against AI spend. Emily gently reframes the issue, explaining that token costs represent a manageable single-digit percentage of headcount expense that well-managed firms recalibrate via model routing.1:11:19–1:14:31 · Guest teaching 6/10 Predictions for AI Commerce and Autonomous Agents Matt asks for predictions on where agentic commerce will land in 12 months. Emily outlines a vision where agents evolve into complete micro-firms that autonomously provision infrastructure, purchase APIs, and sell services.1:24–5:50 · Guest disagreement 0/10 The Evolution and Spectrum of Agentic Commerce Matt opens by asking what has transitioned from theoretical to reality over the past year in agentic commerce. Emily educates the host on the full spectrum of agentic transactions, ranging from fully autonomous agent-to-agent protocols down to human-guided in-app buy buttons.5:50–11:38 · Guest disagreement 0/10 Framing the Levels of Agent Autonomy in Commerce Matt demonstrates industry knowledge by proposing an autonomy level framework akin to self-driving cars, which Emily confirms Stripe literally uses. Emily goes on to explain the adoption of the Agentic Commerce Protocol (ACP) co-developed with OpenAI.11:38–16:56 · Guest disagreement 0/10 Economic Dynamics of Autonomous Agent-to-Agent Transactions Matt asks about the ultimate vision for agent-to-agent negotiations and economic impact. Emily cites economic theory on transaction friction (Coase theorem) and Census Bureau data showing a surge in high-earning solopreneurs running AI-assisted businesses.16:56–21:22 · Guest disagreement 0/10 Addressing Trust and Adoption Roadblocks in Financial AI Matt inquires about adoption roadblocks, specifically trust versus technical limitations, contributing historical context about early consumer hesitation to input credit cards online. Emily explains how trust is built incrementally through repetitions and wallet guardrails.21:22–23:31 · Guest disagreement 0/10 Evaluating User Experience Shortfalls in AI Shopping Apps Matt asks for specific examples of where current AI shopping user experiences fall short. Emily explains that LLMs lack complete deterministic metadata regarding inventory levels and price parameters.23:31–28:03 · Guest disagreement 0/10 The Link Wallet for Autonomous Agents and Consumer Controls Matt asks how Link Wallet functions for agents and seeks clarification on whether it relies on virtual single-use credit cards. Emily explains the transition from scoped one-time virtual cards to consolidated multi-credential agent wallets.28:03–31:42 · Guest disagreement 0/10 Shared Payment Tokens and Programmable Spending Rules Matt prompts Emily on the mechanics of Shared Payment Tokens, double-clicking on programmable spending restrictions. Emily outlines how payment rules can restrict geography, spend caps, and merchant categories.31:42–37:41 · Guest disagreement 0/10 Risk Management, Merchant of Record, and Transaction Safety Matt presses on liability and legal recourse when autonomous purchases go wrong, questioning how courts will handle faulty agent actions. Emily explains design principles that keep businesses as the merchant of record and integrate real-time fraud scoring via Stripe Radar.37:41–42:52 · Guest disagreement 0/10 Vibe Deployment and the Launch of Stripe Projects CLI Matt asks Emily to define 'vibe deployment.' Emily presents striking internal data revealing that 40% of Stripe documentation traffic and 70% of command-line interface requests are generated directly by AI agents.42:52–47:15 · Guest disagreement 0/10 Token Monetization and Usage-Based Billing Models Matt asks whether AI startups have completely abandoned seat-based pricing for usage-based billing. Emily explains how non-zero marginal costs force AI companies into usage meters or hybrid subscription-plus-credit models.47:15–50:36 · Guest disagreement 0/10 Streaming Real-Time Payments and Metronome Accounting Matt asks how billing infrastructure changes when servicing autonomous agents. Emily details real-time metering via Metronome and streaming payments via Tempo, noting the emergence of hybrid software-engineer accountants.50:36–1:01:15 · Guest disagreement 0/10 Combating Token Theft and Fraud Across AI Lifecycles Matt asks Emily to elaborate on 'token theft' as a novel fraud vector. Emily educates the host on how fraudsters target compute tokens instead of cash, revealing that over 1 in 6 AI company signups involve multi-account abuse.1:01:15–1:04:13 · Guest disagreement 0/10 Machine Payments Protocol and Streaming Stablecoin Payments Matt invites Emily to explain the Machine Payments Protocol (MPP). Emily outlines the protocol's machine-readable handshake between autonomous agents and API providers using stablecoins.1:04:15–1:09:01 · Guest disagreement 0/10 Macro Trends and Growth in AI Startups Matt asks for broader growth trends in AI startups. Emily shares that startups from the 2026 Stripe Atlas cohort are tracking to five times the revenue of the previous year's cohort at the same age due to day-one international expansion.1:09:01–1:11:19 · Guest disagreement 1/10 Managing Token Costs and AI Spend Efficiency Matt challenges whether unexpected token costs could trigger an enterprise backlash against AI spend. Emily gently reframes the issue, explaining that token costs represent a manageable single-digit percentage of headcount expense that well-managed firms recalibrate via model routing.1:11:19–1:14:31 · Guest disagreement 0/10 Predictions for AI Commerce and Autonomous Agents Matt asks for predictions on where agentic commerce will land in 12 months. Emily outlines a vision where agents evolve into complete micro-firms that autonomously provision infrastructure, purchase APIs, and sell services.1:24–5:50 · Matt pushing back 0/10 The Evolution and Spectrum of Agentic Commerce Matt opens by asking what has transitioned from theoretical to reality over the past year in agentic commerce. Emily educates the host on the full spectrum of agentic transactions, ranging from fully autonomous agent-to-agent protocols down to human-guided in-app buy buttons.5:50–11:38 · Matt pushing back 1/10 Framing the Levels of Agent Autonomy in Commerce Matt demonstrates industry knowledge by proposing an autonomy level framework akin to self-driving cars, which Emily confirms Stripe literally uses. Emily goes on to explain the adoption of the Agentic Commerce Protocol (ACP) co-developed with OpenAI.11:38–16:56 · Matt pushing back 0/10 Economic Dynamics of Autonomous Agent-to-Agent Transactions Matt asks about the ultimate vision for agent-to-agent negotiations and economic impact. Emily cites economic theory on transaction friction (Coase theorem) and Census Bureau data showing a surge in high-earning solopreneurs running AI-assisted businesses.16:56–21:22 · Matt pushing back 1/10 Addressing Trust and Adoption Roadblocks in Financial AI Matt inquires about adoption roadblocks, specifically trust versus technical limitations, contributing historical context about early consumer hesitation to input credit cards online. Emily explains how trust is built incrementally through repetitions and wallet guardrails.21:22–23:31 · Matt pushing back 0/10 Evaluating User Experience Shortfalls in AI Shopping Apps Matt asks for specific examples of where current AI shopping user experiences fall short. Emily explains that LLMs lack complete deterministic metadata regarding inventory levels and price parameters.23:31–28:03 · Matt pushing back 1/10 The Link Wallet for Autonomous Agents and Consumer Controls Matt asks how Link Wallet functions for agents and seeks clarification on whether it relies on virtual single-use credit cards. Emily explains the transition from scoped one-time virtual cards to consolidated multi-credential agent wallets.28:03–31:42 · Matt pushing back 1/10 Shared Payment Tokens and Programmable Spending Rules Matt prompts Emily on the mechanics of Shared Payment Tokens, double-clicking on programmable spending restrictions. Emily outlines how payment rules can restrict geography, spend caps, and merchant categories.31:42–37:41 · Matt pushing back 2/10 Risk Management, Merchant of Record, and Transaction Safety Matt presses on liability and legal recourse when autonomous purchases go wrong, questioning how courts will handle faulty agent actions. Emily explains design principles that keep businesses as the merchant of record and integrate real-time fraud scoring via Stripe Radar.37:41–42:52 · Matt pushing back 0/10 Vibe Deployment and the Launch of Stripe Projects CLI Matt asks Emily to define 'vibe deployment.' Emily presents striking internal data revealing that 40% of Stripe documentation traffic and 70% of command-line interface requests are generated directly by AI agents.42:52–47:15 · Matt pushing back 1/10 Token Monetization and Usage-Based Billing Models Matt asks whether AI startups have completely abandoned seat-based pricing for usage-based billing. Emily explains how non-zero marginal costs force AI companies into usage meters or hybrid subscription-plus-credit models.47:15–50:36 · Matt pushing back 0/10 Streaming Real-Time Payments and Metronome Accounting Matt asks how billing infrastructure changes when servicing autonomous agents. Emily details real-time metering via Metronome and streaming payments via Tempo, noting the emergence of hybrid software-engineer accountants.50:36–1:01:15 · Matt pushing back 1/10 Combating Token Theft and Fraud Across AI Lifecycles Matt asks Emily to elaborate on 'token theft' as a novel fraud vector. Emily educates the host on how fraudsters target compute tokens instead of cash, revealing that over 1 in 6 AI company signups involve multi-account abuse.1:01:15–1:04:13 · Matt pushing back 0/10 Machine Payments Protocol and Streaming Stablecoin Payments Matt invites Emily to explain the Machine Payments Protocol (MPP). Emily outlines the protocol's machine-readable handshake between autonomous agents and API providers using stablecoins.1:04:15–1:09:01 · Matt pushing back 0/10 Macro Trends and Growth in AI Startups Matt asks for broader growth trends in AI startups. Emily shares that startups from the 2026 Stripe Atlas cohort are tracking to five times the revenue of the previous year's cohort at the same age due to day-one international expansion.1:09:01–1:11:19 · Matt pushing back 2/10 Managing Token Costs and AI Spend Efficiency Matt challenges whether unexpected token costs could trigger an enterprise backlash against AI spend. Emily gently reframes the issue, explaining that token costs represent a manageable single-digit percentage of headcount expense that well-managed firms recalibrate via model routing.1:11:19–1:14:31 · Matt pushing back 0/10 Predictions for AI Commerce and Autonomous Agents Matt asks for predictions on where agentic commerce will land in 12 months. Emily outlines a vision where agents evolve into complete micro-firms that autonomously provision infrastructure, purchase APIs, and sell services.

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

0:00 · Matt 35.5% · guest 64.5%0:00 · Matt 35.5% · guest 64.5%3:00 · Matt 5.3% · guest 94.7%3:00 · Matt 5.3% · guest 94.7%6:00 · Matt 22.2% · guest 77.8%6:00 · Matt 22.2% · guest 77.8%9:00 · Matt 21.4% · guest 78.6%9:00 · Matt 21.4% · guest 78.6%12:00 · Matt 13.8% · guest 86.2%12:00 · Matt 13.8% · guest 86.2%15:00 · Matt 18.1% · guest 81.9%15:00 · Matt 18.1% · guest 81.9%18:00 · Matt 8.5% · guest 91.5%18:00 · Matt 8.5% · guest 91.5%21:00 · Matt 18.4% · guest 81.6%21:00 · Matt 18.4% · guest 81.6%24:00 · Matt 3.6% · guest 96.4%24:00 · Matt 3.6% · guest 96.4%27:00 · Matt 9% · guest 91%27:00 · Matt 9% · guest 91%30:00 · Matt 10.1% · guest 89.9%30:00 · Matt 10.1% · guest 89.9%33:00 · Matt 18.6% · guest 81.4%33:00 · Matt 18.6% · guest 81.4%36:00 · Matt 15.3% · guest 84.7%36:00 · Matt 15.3% · guest 84.7%39:00 · Matt 2.1% · guest 97.9%39:00 · Matt 2.1% · guest 97.9%42:00 · Matt 24.8% · guest 75.2%42:00 · Matt 24.8% · guest 75.2%45:00 · Matt 2.3% · guest 97.7%45:00 · Matt 2.3% · guest 97.7%48:00 · Matt 17.7% · guest 82.3%48:00 · Matt 17.7% · guest 82.3%51:00 · Matt 0% · guest 100%51:00 · Matt 0% · guest 100%54:00 · Matt 22.5% · guest 77.5%54:00 · Matt 22.5% · guest 77.5%57:00 · Matt 0% · guest 100%57:00 · Matt 0% · guest 100%1:00:00 · Matt 8.2% · guest 91.8%1:00:00 · Matt 8.2% · guest 91.8%1:03:00 · Matt 11.6% · guest 88.4%1:03:00 · Matt 11.6% · guest 88.4%1:06:00 · Matt 0.4% · guest 99.6%1:06:00 · Matt 0.4% · guest 99.6%1:09:00 · Matt 24.6% · guest 75.4%1:09:00 · Matt 24.6% · guest 75.4%1:12:00 · Matt 13.5% · guest 86.5%1:12:00 · Matt 13.5% · guest 86.5%1:15:00 · Matt 0% · guest 0%1:15:00 · Matt 0% · guest 0%
Sharpest disagreement ▶ 1:09:01 Emily reframes token spend concern

Emily directly counters Matt's thesis that runaway token costs could cause an industry backlash, explaining that token costs are only a small single-digit fraction of headcount budget.

Hardest push from Matt ▶ 35:03 Matt highlights legal liability gaps

Matt refuses to accept that technical protocols fully address transaction risks, pushing Emily on the inevitable court battles that will arise when autonomous agents make severe purchasing errors.

Biggest teaching moment ▶ 50:45 Emily reveals token theft stats

Emily educates the host on how AI fraud has fundamentally shifted from stealing money to stealing tokens, dropping the startling metric that over 1 in 6 signups at AI startups are multi-account token abuse.

Matt holds his own ▶ 5:50 Matt introduces levels of autonomy

Matt demonstrates high technical fluency by suggesting an autonomy framework (Level 1 to Level 5) modeled after self-driving cars, which Emily validates as Stripe's exact internal framing.

the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
The Evolution and Spectrum of Agentic Commerce 2600 Matt opens by asking what has transitioned from theoretical to reality over the past year in agentic commerce. Emily educates the host on the full spectrum of agentic transactions, ranging from fully autonomous agent-to-agent protocols down to human-guided in-app buy buttons.
Framing the Levels of Agent Autonomy in Commerce 4501 Matt demonstrates industry knowledge by proposing an autonomy level framework akin to self-driving cars, which Emily confirms Stripe literally uses. Emily goes on to explain the adoption of the Agentic Commerce Protocol (ACP) co-developed with OpenAI.
Economic Dynamics of Autonomous Agent-to-Agent Transactions 3700 Matt asks about the ultimate vision for agent-to-agent negotiations and economic impact. Emily cites economic theory on transaction friction (Coase theorem) and Census Bureau data showing a surge in high-earning solopreneurs running AI-assisted businesses.
Addressing Trust and Adoption Roadblocks in Financial AI 4501 Matt inquires about adoption roadblocks, specifically trust versus technical limitations, contributing historical context about early consumer hesitation to input credit cards online. Emily explains how trust is built incrementally through repetitions and wallet guardrails.
Evaluating User Experience Shortfalls in AI Shopping Apps 2500 Matt asks for specific examples of where current AI shopping user experiences fall short. Emily explains that LLMs lack complete deterministic metadata regarding inventory levels and price parameters.
The Link Wallet for Autonomous Agents and Consumer Controls 3601 Matt asks how Link Wallet functions for agents and seeks clarification on whether it relies on virtual single-use credit cards. Emily explains the transition from scoped one-time virtual cards to consolidated multi-credential agent wallets.
Shared Payment Tokens and Programmable Spending Rules 3501 Matt prompts Emily on the mechanics of Shared Payment Tokens, double-clicking on programmable spending restrictions. Emily outlines how payment rules can restrict geography, spend caps, and merchant categories.
Risk Management, Merchant of Record, and Transaction Safety 3602 Matt presses on liability and legal recourse when autonomous purchases go wrong, questioning how courts will handle faulty agent actions. Emily explains design principles that keep businesses as the merchant of record and integrate real-time fraud scoring via Stripe Radar.
Vibe Deployment and the Launch of Stripe Projects CLI 3700 Matt asks Emily to define 'vibe deployment.' Emily presents striking internal data revealing that 40% of Stripe documentation traffic and 70% of command-line interface requests are generated directly by AI agents.
Token Monetization and Usage-Based Billing Models 3601 Matt asks whether AI startups have completely abandoned seat-based pricing for usage-based billing. Emily explains how non-zero marginal costs force AI companies into usage meters or hybrid subscription-plus-credit models.
Streaming Real-Time Payments and Metronome Accounting 2600 Matt asks how billing infrastructure changes when servicing autonomous agents. Emily details real-time metering via Metronome and streaming payments via Tempo, noting the emergence of hybrid software-engineer accountants.
Combating Token Theft and Fraud Across AI Lifecycles 3801 Matt asks Emily to elaborate on 'token theft' as a novel fraud vector. Emily educates the host on how fraudsters target compute tokens instead of cash, revealing that over 1 in 6 AI company signups involve multi-account abuse.
Machine Payments Protocol and Streaming Stablecoin Payments 2500 Matt invites Emily to explain the Machine Payments Protocol (MPP). Emily outlines the protocol's machine-readable handshake between autonomous agents and API providers using stablecoins.
Macro Trends and Growth in AI Startups 2700 Matt asks for broader growth trends in AI startups. Emily shares that startups from the 2026 Stripe Atlas cohort are tracking to five times the revenue of the previous year's cohort at the same age due to day-one international expansion.
Managing Token Costs and AI Spend Efficiency 4512 Matt challenges whether unexpected token costs could trigger an enterprise backlash against AI spend. Emily gently reframes the issue, explaining that token costs represent a manageable single-digit percentage of headcount expense that well-managed firms recalibrate via model routing.
Predictions for AI Commerce and Autonomous Agents 2600 Matt asks for predictions on where agentic commerce will land in 12 months. Emily outlines a vision where agents evolve into complete micro-firms that autonomously provision infrastructure, purchase APIs, and sell services.

Statements from this episode (32)

Disclosure
Stripe partners with Google for direct checkout inside Gemini
“We recently partnered with Google. So merchants can sell right inside AI mode and the Gemini app. So, you know, maybe you shop at JD sports cause I was on the topic of running shoes or fanatics or quince. Those were all early adopters.”
Emily Glassberg Sands Jul 9, 2026 ▶ 3:33
Disclosure
Stripe partners with Microsoft and OpenAI for Copilot commerce
“Microsoft and open AI, we're doing something similar with them, like helping businesses make their products discoverable inside copilot and chat GPT.”
Emily Glassberg Sands Jul 9, 2026 ▶ 3:47
Disclosure
Stripe powers direct checkout inside Meta ads
“Meta is another example, a little bit of a different flavor, but we're powering checkout right inside ads.”
Emily Glassberg Sands Jul 9, 2026 ▶ 3:55
Assertion Not checkable as stated
Sands: Consumer AI commerce mostly hovers around Level 2 autonomy
“And I would say, sort of, on the consumer side, we're mostly hovering level two. You know, people are delegating a little bit of the selection or leaning hard on the AI to help find the product. Maybe a hint of level three, but, like, you know, we're not in th…”
Emily Glassberg Sands Jul 9, 2026 ▶ 6:25
Assertion Supported
Best Buy, Coach, and URBN adopt Stripe's Agentic Commerce Protocol
“We've actually seen a ton of demand from brands. So Best Buy's on it, Coaches on it, URBN's on it, Kate Spade's on it. We've seen Quince and Fanatics and JD Sports and a whole bunch more.”
Emily Glassberg Sands Jul 9, 2026 ▶ 10:16
Assertion Supported
Wix, Shopify, and BigCommerce adopt Stripe's Agentic Commerce Protocol
“And so Wix and Shopify and BigCommerce and commerce tools on the platform side have all adopted the protocol.”
Emily Glassberg Sands Jul 9, 2026 ▶ 10:53
Assertion Not checkable as stated
Sands: Very few agent-to-agent financial transactions are occurring currently
“Not a lot of agent to agent transactions happening.”
Emily Glassberg Sands Jul 9, 2026 ▶ 13:19
Assertion Partly supported
US business formation growth comes entirely from non-employer solopreneurs
“And the incremental growth is coming entirely from non-employer firms is the literal language that the Census Bureau uses, but you and I would just call them solopreneurs.”
Emily Glassberg Sands Jul 9, 2026 ▶ 15:14
Assertion Partly supported
5 million Americans now make a living running solo companies
“And now there's, in America alone, five million people making their living running solo companies. Not like, oh, I just said I was a solopreneur. Like, literally, that is my income supporting my family. And there are hundreds of thousands that are clearing a m…”
Emily Glassberg Sands Jul 9, 2026 ▶ 15:34
Assertion Not checkable as stated
Sands: AI app shoppers currently buy low-to-mid priced items
“That's a big reason why on the consumer side, what we're mostly seeing is people are discovering things inside AI apps, but they're still choosing the exact thing, and they're still disproportionately buying Low to mid price stuff.”
Emily Glassberg Sands Jul 9, 2026 ▶ 18:32
Assertion Partly supported
Stripe's Link consumer wallet now has 300 million users
“Link is just Stripe's consumer wallet and three hundred million users use it today.”
Emily Glassberg Sands Jul 9, 2026 ▶ 23:38
Assertion Supported
Stripe's first live agentic commerce volume was on Perplexity Shopping
“In the first version of agentic commerce, which for us I believe the very first meaningfully live volume was on perplexity shopping.”
Emily Glassberg Sands Jul 9, 2026 ▶ 26:23
Prediction Not checkable as stated
Sands: Consumers are months away from allowing continuous AI wallet authorization
“I still think that we will be a few months hence before folks are actually agreeing to You know, agents using the wallet beyond a particular scoped transaction”
Emily Glassberg Sands Jul 9, 2026 ▶ 27:36
Assertion Supported
Stripe's Shared Payment Token works across competing processors like Adyen
“Shared payment token is a new payments primitive that is wallet agnostic, and by the way, also payment processor agnostic. You can pass it over to Addian or whoever else you have. It doesn't have to be processed on Stripe.”
Emily Glassberg Sands Jul 9, 2026 ▶ 29:18
Prediction Not checkable as stated
Sands: AI agents and stablecoins will make microtransactions viable
“I think when we enter a world where like the human is not doing any work to execute the transaction, you're not typing in any credentials, you're not navigating to any web pages, the agent's doing it for you then microtransactions become viable, and you pair t…”
Emily Glassberg Sands Jul 9, 2026 ▶ 30:39
Assertion Partly supported
Sands: Stripe sees roughly 2% of global GDP
“We now look across just about two percent of global GDP.”
Emily Glassberg Sands Jul 9, 2026 ▶ 34:32
Assertion Not checkable as stated
Sands: Basically all AI buyers and sellers use Stripe
“Basically all AI buyers and all AI sellers are on Link and on Stripe.”
Emily Glassberg Sands Jul 9, 2026 ▶ 34:40
Prediction Not checkable as stated
Sands: AI agent payments will ultimately be safer than manual entry
“Done, like, done right in the limit, I believe it should be much safer.”
Emily Glassberg Sands Jul 9, 2026 ▶ 36:53
Assertion Not checkable as stated
Sands: Agent traffic to Stripe docs grew 10x, reaching 40% of total
“Agent Traffic to Stripe's documentation grew more than 10 X since we talked a year ago. Agent traffic is now about 40% of all our docs traffic.”
Emily Glassberg Sands Jul 9, 2026 ▶ 38:09
Assertion Not checkable as stated
70% of Stripe CLI API requests now come from AI agents
“And it's now 70% of its API resource requests are from agents.”
Emily Glassberg Sands Jul 9, 2026 ▶ 38:51
Insight
Deployment, not coding, is the new bottleneck for AI app development
“But now that like the app can be built in coded in 20 minutes, like Okay, the long pole is deploying the thing. And so, anyway, vibe coding was easy. Vibe deployment has become like more of the binding constraint.”
Emily Glassberg Sands Jul 9, 2026 ▶ 40:14
Assertion Not checkable as stated
Sands: Very few scaling AI companies rely exclusively on seat-based pricing
“I see very few scaling or scaled AI companies that are still exclusively subscriptions or seat-based.”
Emily Glassberg Sands Jul 9, 2026 ▶ 44:52
Assertion Supported
Sands: ElevenLabs recently transitioned from subscriptions to a pay-as-you-go model
“And 11 Labs is another example, like, they went through the exact same thing, literally, like, started with subscriptions, they recently moved to this sort of pay-go plan and this is just a pattern that we see playing out pretty much everywhere in the AI space…”
Emily Glassberg Sands Jul 9, 2026 ▶ 47:02
Prediction Not checkable as stated
Sands: AI agents will drive adoption of real-time metering and billing
“I think in the world of agents, what we're gonna see more and more of is real-time metering, like, what have you consumed And real-time billing”
Emily Glassberg Sands Jul 9, 2026 ▶ 47:50
Assertion Not checkable as stated
Sands: Over one in six AI company signups are multi-account abuse
“So like more than one in six signups at AI companies are this kind of abuse.”
Emily Glassberg Sands Jul 9, 2026 ▶ 52:25
Assertion Not checkable as stated
Sands: Free trial abuse on Stripe doubled in six months, led by AI
“Free trial abuse has always existed in various forms across the internet, AI or not, but it's more than doubled on Stripe in the last six months, and most of that doubling is coming from AI and AI businesses”
Emily Glassberg Sands Jul 9, 2026 ▶ 53:02
Assertion Not checkable as stated
Sands: 58% of AI startup Lovable's payment volume flows through Stripe Link
“As an AI company, 58% of Lovable's volume flows through Link.”
Emily Glassberg Sands Jul 9, 2026 ▶ 1:00:46
Disclosure
Stripe launches open Machine Payments Protocol co-built with Tempo
“We launched the machine payments protocol or MPP and we built it with Tempo and it's an open standard”
Emily Glassberg Sands Jul 9, 2026 ▶ 1:01:32
Assertion Partly supported
Business registrations jump 40% in Netherlands and 80% in France
“New business registrations are well, so I think in general the business formation story is underappreciated. So new business registrations are up basically around the world, at least for advanced economies. They're up like, 40% in the Netherlands and 70% in Fi…”
Emily Glassberg Sands Jul 9, 2026 ▶ 1:05:08
Assertion Not checkable as stated
2026 Stripe Atlas startups track 5x the revenue of 2025 cohort
“Atlas startups from the 20, 26 cohort. And you know, it's only June, so it's early in their life cycle. But they're tracking to, like, five times the revenue of last year's class at the same number of months.”
Emily Glassberg Sands Jul 9, 2026 ▶ 1:05:47
Prediction Not checkable as stated
Sands: AI agents will operate as multifaceted economic actors within 12 months
“I think the most interesting thing in the next 12 months is, I mean, I think we'll move up and I don't know if it's going to be to four or to five, But I think the more interesting thing is actually that, like, we talked about agents as economic actors, mostly…”
Emily Glassberg Sands Jul 9, 2026 ▶ 1:11:38
Disclosure
Stripe quietly launches public preview of Stripe Directory for AI agents
“We just quietly went to public preview on on Stripe Directory, which is just a really easy way for agents to discover providers, and then through Stripe Projects, they can integrate them directly.”
Emily Glassberg Sands Jul 9, 2026 ▶ 1:12:42
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