Software's Economic Shift: From Mass Production to Bespoke Creation

The "Pizza" of Software: How Agentic Commerce and AI Are Forcing a Fundamental Reframe of How We Build and Use Digital Products.

This conversation with Stripe co-founders John and Patrick Collison reveals a profound shift in the digital economy, moving beyond the familiar "fixed cost, infinite monetization" model of software. The non-obvious implication? We're not just building better tools; we're fundamentally altering the economics and nature of software itself, transforming it from a mass-produced product into something bespoke, "cooked fresh at the moment of use." This insight is critical for founders, product managers, and technologists who need to understand how emerging technologies like AI and agentic commerce will necessitate new infrastructure and business models. Those who grasp this paradigm shift early will gain a significant advantage in building and scaling the next generation of digital businesses, while those clinging to old models risk obsolescence.

The "Singularity Quarter" and the Real Economy's Quiet Acceleration

While the tech world buzzes with AI hype, the data from Stripe paints a picture of a surprisingly robust real economy, particularly for businesses built on modern infrastructure. Patrick Collison posits that Q1 2026 might be looked back upon as the "first quarter of the singularity," not as a dramatic, sudden event, but as a period where the cumulative impact of AI and agentic commerce began to demonstrably accelerate business growth. This isn't just about more businesses signing up; it's about those businesses performing better, on average, than any prior cohort. This suggests that companies adopting cutting-edge platforms are not only more innovative but also more resilient and capable of leveraging new economic forces.

The distinction between legacy providers and modern platforms like Stripe is stark. Incumbents, often built on older systems, may be slow to adapt. When they do innovate, they tend to do so on newer, more flexible infrastructure. This creates a self-selecting group of forward-thinking, high-growth businesses on platforms like Stripe. The implication is that the choice of infrastructure is becoming a direct driver of economic performance, not just a cost center.

"The businesses that signed up in 2025 and their progression and trajectory over the subsequent months... there's been a phase transition in 2025 where there are both more of them and on a per business basis they are on average doing better."

-- Patrick Collison

This phase transition is crucial. It highlights how the underlying economics of software are shifting. Historically, software was about recouping fixed development costs through scalable monetization. This led to winner-take-all dynamics. However, the rise of AI and agentic commerce introduces "inference costs and custom creation," fundamentally altering this equation. This isn't just about incremental improvements; it's a paradigm shift in how value is created and captured.

Agentic Commerce: Beyond the Hype to Infrastructure Needs

The concept of "agentic commerce"--where automated agents conduct transactions--is a key driver of this shift. While current agents might use existing payment rails, the future envisions a "torrent" of agentic activity. This requires a radical rethinking of transaction throughput.

"The world's going to need platforms that support millions of transactions per second, billions of transactions per second, which no payment rail or platform does today."

-- John Collison

This is where stablecoins and AI converge. The need for high-throughput, low-latency transactions for autonomous agents necessitates a new generation of blockchains. Stripe's incubation of Tempo is a direct response to this anticipated need. The current blockchain landscape, often a mix of speculative trading and serious commerce, is insufficient. The future demands specialized infrastructure built for scale, not just for a few high-value transactions, but for the sheer volume of micro-transactions an agentic economy will generate. This is a clear example of anticipating downstream effects: the rise of agents necessitates a foundational shift in payment infrastructure.

Software as Pizza: The Bespoke Future of Digital Products

The most profound insight from the conversation is the redefinition of software itself. John Collison likens the future of software to pizza: "cooked right then and there at the moment of use." This contrasts sharply with the traditional model of software as a mass-produced, "freeze-dried" product.

This shift has massive implications. Instead of optimizing for fixed costs and broad monetization, the focus moves to inference costs and custom creation. This moves away from "Walrasian" (market-driven, theoretical) economics towards a more bespoke, "non-Walrasian" regime.

"Up until now, the economics of software have been conceived about as fixed cost and then infinitely monetize or monetize as much as possible. That has the kind of winner take all dynamics. But when you're inferring cost and custom creation involved, it really shifts."

-- John Collison

This means that companies will increasingly offer custom-tailored software experiences, dynamically generated or configured for the specific user and moment. This requires not only new development paradigms but also the underlying infrastructure to support this on-demand creation. For businesses, this means moving from selling standardized products to orchestrating personalized digital experiences. The competitive advantage will lie in the ability to deliver this bespoke value efficiently and at scale, a feat that requires rethinking everything from architecture to payment processing. This is where immediate pain--the effort to build flexible, dynamic systems--creates lasting advantage, as competitors remain mired in the complexities of mass-produced software.

Key Action Items

• Invest in Modern Payment Infrastructure: Prioritize platforms that support high transaction volumes and emerging technologies like stablecoins. (Immediate Action)
• Explore Agentic Commerce Use Cases: Begin experimenting with how automated agents can streamline customer interactions and transactions. (Immediate Action)
• Reframe Software Development: Shift focus from building monolithic, fixed-cost products to designing dynamic, configurable systems that can be "cooked fresh." (This pays off in 12-18 months)
• Understand Inference Costs: Factor in the cost of AI inference and custom generation into your business models, moving beyond purely fixed-cost thinking. (This pays off in 6-12 months)
• Develop for High Throughput: Anticipate the need for payment rails and blockchains capable of millions or billions of transactions per second for future agentic commerce. (Long-term Investment: 2-3 years)
• Build Flexible APIs and Protocols: Enable seamless integration of product catalogs and purchasing capabilities within AI applications. (Immediate Action)
• Embrace Bespoke Solutions: Recognize that future competitive advantage will come from delivering custom software experiences, not just mass-produced products. (This pays off in 18-24 months)