03-10-2026Price:

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AI & TECH

Bitcoin Becomes AI's Private Payment Rail

Tuesday, March 10, 2026 · from 3 podcasts, 4 episodes
  • Decentralized networks are using crypto incentives to directly fund AI development, creating a global, performance-based market that undercuts Big Tech's capital costs.
  • Bitcoin and Nostr are converging as the privacy-first infrastructure for AI agent payments, a new market where all players start from zero.
  • New AI coding tools have collapsed the barrier to building, handing Bitcoin developers a historic opportunity to set the transaction standard.

AI development is shifting from venture capital boardrooms to a global, tokenized contest. On This Week in Startups, Mark Jeffrey detailed how Bit Tensor uses blockchain rewards to subsidize 128 specialized AI subnets, paying developers anywhere for measurable improvements. The result is projects like the Ridges coding assistant, built on roughly $10 million in chain emissions while competing with billion-dollar rivals. This turns stranded global talent into a direct market.

Simultaneously, the demand for private AI inference is creating a new payment layer. As explained on Citadel Dispatch, Routstr uses Nostr for discovery and Bitcoin for private payments, creating a decentralized marketplace for AI model access. Users pay sats to a network of nodes, which can offer everything from open-source models to proprietary ones like GPT-5.3. This bypasses KYC and creates a competitive proxy network.

The convergence point is agentic payments, where AI agents autonomously transact. Matt Corallo argued on TFTC that this is a greenfield. Existing systems like Visa are ill-suited for bots and lack merchant integration for agents. For this new economy, everyone starts from zero. Bitcoin, often struggling to be 10x better for traditional payments, now has a unique shot if the community builds the rails.

The tools to build those rails are now accessible. Corallo emphasized that recent AI advancements have dramatically lowered the software development barrier, enabling non-coders to construct applications. The excuse that building is too hard is gone. The race is on to define the payment standard for the agentic economy, and Bitcoin’s privacy and final settlement offer a foundational advantage.

The underlying shift is from centralized platform control to decentralized, incentive-aligned networks. Whether funding AI development or facilitating its transactions, the model is the same, bypass traditional gatekeepers and pay for utility directly. The question is who will build the winning infrastructure first.

Matt Corallo, TFTC:

- For authentic payments, everyone's starting from zero.

- And so we have a shot to actually build something that people use.

Entities Mentioned

Google AntigravityProduct
OpenAItrending
Routstrtrending
StripeCompany
VisaCompany

Source Intelligence

What each podcast actually said

#723: The Battle for the Agentic Economy with Matt CoralloMar 8

Also from this episode:

Coding (3)
  • Matt Corallo argues that recent AI models like Claude 3.5 have crossed a threshold in the last three months, enabling the creation of functional software, from front ends to mobile apps, without human coding.
  • According to Matt Corallo, this leap in AI model quality removes the technical skill barrier for the Bitcoin community, allowing anyone with an idea and the will to execute to build Bitcoin applications.
  • Matt Corallo concludes that winning the agentic payment protocol war requires the Bitcoin community to step up and build, using the newly available AI tools to turn weekend ideas into working products.
Agents (2)
  • Matt Corallo says the emerging agentic economy presents a major opportunity for autonomous AI payments, where agents will handle routine purchases like reordering household supplies, representing a genuine slice of future consumer spend.
  • Matt Corallo argues the race to build the default payment rail for AI agents is wide open, with entities like Google, Stripe, Visa, and crypto projects all pushing competing protocols from a starting point of zero.
Payments (2)
  • Matt Corallo states that legacy payment networks like Visa are useless for agentic commerce, as their systems are fundamentally anti-bot by design to prevent fraud.
  • Matt Corallo notes that stablecoins also fail to serve the agentic payment need due to a lack of merchant integration and usability for automated transactions.
Adoption (1)
  • According to Matt Corallo, this represents a unique shot for Bitcoin to achieve mainstream merchant adoption, as it is not trying to displace a 10x better incumbent but is competing in a newly forming market.

#723: The Battle for the Agentic Economy with Matt CoralloMar 7

Also from this episode:

Models (1)
  • Matt Corallo says recent AI model advancements like Claude 3.5/3.6 have dramatically lowered the barrier to software development.
Coding (4)
  • He explains these AI tools now enable users to build robust frontend, web, and mobile applications without deep coding knowledge.
  • This marks a unique opportunity for the Bitcoin community, which thrives on experimentation and diverse builders.
  • Corallo says AI tools have eliminated excuses for Bitcoiners to build applications.
  • He says the tools exist for building, and now willpower and a clear concept are the only requirements.
AI & Tech (2)
  • The other major shift is the rise of 'agentic payments' where AI agents autonomously purchase goods and services.
  • Corallo states this isn't a distant future and will soon comprise a non-trivial portion of consumer spending.
Markets (3)
  • Existing payment rails like traditional credit card sites are not equipped for agentic payments, as they employ anti-bot measures.
  • Traditional systems also struggle with chargeback structures designed for humans, not autonomous agents.
  • For agentic payments, Corallo argues everyone is starting from zero, creating a greenfield opportunity.
Stablecoins (1)
  • Stablecoins face a similar hurdle, lacking widespread merchant integration for agent-to-merchant transactions.

Wisdom of the $TAO: the future is decentralized AIMar 6

Also from this episode:

Mining (2)
  • Bit Tensor uses a crypto incentive layer with token emissions akin to Bitcoin mining rewards to subsidize AI development, according to guest Mark Jeffrey.
  • Jeffrey describes the model as Bitcoin's incentive structure applied to stranded talent instead of stranded energy.
Startups (7)
  • The network operates 128 specialized AI subnets that compete to produce the best models.
  • Ridges costs 29 dollars per month while centralized competitors raised funding at valuations in the billions.
  • The Ridges project was built on roughly 10 million dollars in chain emissions, compared to traditional startups requiring billion-dollar valuations.
  • Developers anywhere can earn subnet tokens daily by outperforming centralized teams, turning the stranded talent problem into a market.
  • A developer in Turkey can earn subnet tokens daily by improving the model, effectively owning a slice of the product's success.
  • The market bypasses traditional startup machinery including HR, payroll, and fundraising.
  • The network pays for progress directly, turning AI development into a performance-based contest.
Coding (2)
  • Subnet 62 launched Ridges, a coding assistant that scores 73 to 88 percent on benchmark tests measuring vibe coder effectiveness, according to Jeffrey.
  • Ridges scores competitively with Claude and Cursor on performance tests.
Open Source (1)
  • The system monetizes open-source contribution in a way traditional development cannot, according to Jeffrey.

CD192: ROUTSTR - NOSTR, AI, AND BITCOINMar 4

Also from this episode:

Nostr (4)
  • Routstr combines Nostr for node discovery with Bitcoin for payments to create a decentralized marketplace for AI model inference, offering a third path between Big Tech's walled gardens and self-hosted open-source models.
  • Red Shift describes Routstr as a layer for building decentralized AI applications, applying Nostr's philosophy of decentralization to the AI space.
  • Users query Nostr relays to find nodes offering specific AI models, pay the node directly in sats, and receive inference, enabling anonymous access without traditional KYC.
  • Nostr's event system allows the community to publicly flag providers that overcharge or deliver poor performance, creating a reputation layer.
Models (2)
  • The network's 15 active nodes, including providers like Non-KYC AI and The Fox, can resell access to both open-source models and proprietary ones like OpenAI's GPT-5.3 by acting as paid proxies.
  • A remaining challenge for the network, common to open LLM marketplaces, is verifying the quality and authenticity of the AI models being served.
Adoption (2)
  • Abdul states Routstr's core appeal is that anyone can use any large language model by paying with Bitcoin, without needing an email or traditional identity.
  • Shroom Inc argues Routstr is crucial infrastructure for Bitcoiners and cypherpunks who need access to state-of-the-art AI models to build applications without compromise.
Markets (1)
  • The system creates a competitive free market where providers must compete on price and reliability, and users can instantly switch nodes if one fails.
BTC Markets (1)
  • The economic incentive structure, backed by Bitcoin's final settlement, is designed to push the network toward greater reliability over time.