Crypto x AI: what 52 founder interviews say changed between 2025 and 2026

Crypto Coin Show recorded 161 founder and executive interviews between January 2025 and September 2026. Sixty-one of them carry the archive’s AI tag. This report reads all of those episodes as one body of evidence and asks a narrow question: when crypto founders talked about artificial intelligence on the show, what were they actually building, and how did that change from one year to the next?

The short answer is that the conversation moved from ownership to proof. In 2025 the typical AI guest was pitching an agent that trades for you or a decentralized network that would give users a stake in AI. By 2026 the typical AI guest was pitching a way to verify something: that a piece of data is real, that an agent did what it says it did, or that a user is a human and not a bot.

The dataset

The AI tag is assigned automatically, so the desk screened every tagged episode by hand before counting anything. Nine of the 61 were dropped because AI came up only in passing, for example a legal episode on offshore jurisdictions with one chapter on agent liability, or a Bitcoin price outlook that touched on Tesla. That leaves 52 episodes: 25 from 2025 and 27 from 2026. In 34 of them AI is the primary subject; in the other 18 it is a significant part of the product being discussed. The desk also checked the 100 untagged episodes from the same period for AI references and found none where AI was more than a secondary mention.

Measured against all episodes, AI-focused conversations made up 28 percent of the show in 2025 and 37 percent in 2026 to date. Those figures are lower than the raw tag counts published in The CCS Interview Index, which counted every tagged episode; the gap is the nine episodes removed here.

Six findings

1. Verification became the dominant AI theme

Episodes about verifying data, actions or identity went from 12 percent of AI conversations in 2025 to 37 percent in 2026, the largest move of any theme. The pitches differ in what they prove. Verona (formerly XION) described itself as a verification layer for AI agent commerce, citing 69 million verified interactions. World Foundation framed World ID as the identity layer that links an AI agent to a verified human, including through AgentKit with Coinbase. Nexus Labs argued that AI agents need to prove execution without a human in the loop. Geo Protocol founder Yaniv Tal, a co-founder of The Graph, put the problem as a question of ground truth: AI answers are only as good as sources nobody can currently rank.

XYO Network, a sponsor of the channel, accounts for five of the ten verification episodes in 2026, so the desk checked whether the shift survives without it. It does: excluding XYO, verification rose from 4 percent of AI episodes in 2025 to 23 percent in 2026. XYO’s own arc is still worth tracking, because it moved over the period from launching a data-focused Layer One to data provenance for AI agents to what Arie Trouw called proof of action: evidence that a robot or agent actually did what it claims.

2. The “decentralized AI beats Big Tech” pitch faded

In 2025, 28 percent of AI episodes were about open or user-owned AI: Dr. Ben Goertzel on decentralized AGI, Morpheus on a peer-to-peer AI network, Sahara AI on fair monetization for data contributors, and Cirus and Bitrobot on users earning from the data they generate. In 2026 that share fell to 4 percent. The 2026 guests mostly positioned crypto as a complement to mainstream AI rather than a rival. Brave described its search API powering answers inside other companies’ AI tools. The Graph pitched itself as a data backbone for AI agents. io.net sold decentralized compute on price, at up to 70 percent below the big clouds, rather than on ideology.

3. Agent guests started talking about guardrails and numbers

AI agents were the biggest theme in 2025 at 36 percent, largely agentic finance: KUVI AI, Mantis and Fetch.ai described agents that execute intents and manage assets. The theme shrank to 22 percent in 2026, and the tone changed. Virgo said its Wallet V agent publishes its decision rationale every 15 minutes and constrains the model to set parameters to limit hallucinated trades. Sahara AI returned with Sorin, deliberately a co-pilot rather than an autopilot. Propr reported more than 300 AI agents already trading with funded capital on its platform. The claims got smaller and more measurable.

4. Agents need their own money rails

A new theme appeared in 2026: how agents pay. Brave discussed x402 support for agent stablecoin payments as part of its Roadmap 4.0. NEAR Protocol co-founder Illia Polosukhin, co-author of the Transformer paper, described NEAR Intents as a way for agents to state an outcome and let the protocol handle routing and gas. io.net launched Agent Compute so agents can buy their own GPU time, and The Graph described agents paying per query with no API keys. None of these rails existed as a topic on the show in 2025.

5. Security and privacy moved up, with AI on both sides

Security, privacy and legal episodes rose from 4 to 11 percent of AI conversations. CertiK described an AI auditor for smart contracts in an environment where attackers use AI too. Fhenix pitched fully homomorphic encryption as a route to confidential onchain AI. The one sceptical voice in the set came from Venable LLP: crypto practice head Chris O’Brien warned founders against asking a chatbot for legal advice first, citing confidentiality, missing context and false confidence.

6. Infrastructure is now pitched on cost and usage, not tokens

Compute and data infrastructure held steady at 12 to 15 percent, but the pitch changed. Compute Labs in 2025 framed compute as an investable asset. In 2026, io.net described replacing inflation-driven token rewards with payments to suppliers in dollar value, Perceptron Network claimed AI training data at 92 percent below centralized providers, and The Graph acknowledged openly that record usage had not translated into token price performance. 0G Labs made the strongest case for AI needing its own chain.

Shares of AI episodes by theme, 2026:

Where the guests disagree

How much autonomy. Virgo pitches an agent that manages a portfolio without the user intervening; Sahara built Sorin specifically so the user stays in charge of execution. Both cite hallucination risk as the reason for their design.

Does AI need its own chain. 0G Labs and XYO argue that general-purpose chains were not built for AI data and workloads. NEAR, The Graph and Brave are adding agent features to existing networks and products.

How to prove a human. World’s approach centres on the Orb and zero-knowledge proofs of a biometric check. Verona’s approach verifies activity without exposing raw user data. Both are aiming at the same bot problem.

Who wins the model race. Most guests assume US labs lead. Kevin T. Carter of EMQQ Global argued the opposite: that open Chinese models are catching up faster than expected and the valuation gap is closing.

What to watch into 2027

If the 2026 pattern holds, the next year of AI conversations on the show will be about accountability: audit trails for agents, reputation or credit history for agents that hold wallets (a question Arie Trouw raised directly), and payment standards that let agents transact. The consumer-facing “earn from your data” model has almost disappeared from the pipeline; one 2026 episode, Sleepagotchi, still makes that case.

Methodology

Appendix: the 52 episodes