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This is the 109th edition of The Web3 + AI Daily - your definitive guide to the intersection of blockchain and AI! Today's agenda: Instinct and Stripe equipping personal AI assistants with USDC spending balances on Tempo, and AI and zero-knowledge proofs reinforcing each other.

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What’s Hot in Web3 + AI?

Instinct Assistants Now Pay in USDC on Tempo

AI start-up Instinct, together with Stripe, now allows users to set up Link wallets with spending limits for their AI assistants, so they can spend without needing approval at every step. The Link balances are held in Circle‘s USDC stablecoin, with transactions executed on Stripe’s Tempo blockchain. The feature began rolling out in the US on Monday, “with New York coming soon.”

Link’s standard agent-wallet flow asks users to approve each purchase amount with biometric authentication before giving the agent a one-time card for checkout. The balance feature instead allows purchases within a user-set threshold to proceed without that repeated approval.

explained how the payment process looks like under the hood:

1. The agent initiates a card purchase against the user’s Link balance.
2. Stripe checks the stablecoin balance and initiates a $50 stablecoin sale. Stripe or its designated provider handles the conversion.
3. The dollar proceeds fund the user’s prepaid card account at Lead Bank. Lead Bank holds dollars; Stripe handles the crypto side.
4. The purchase runs through Visa, and the merchant receives payment through its normal card processor and payout arrangement. The merchant needs no Tempo wallet.
It’s a card in all but name.

Instinct is an AI agent that’s been gaining rapid adoption while rivaling Meta‘s Muse and OpenAI‘s dots. It’s operated by Spear Street Technology, which recently raised $1B at a $10B valuation in a new funding round backed by Sequoia Capital, Benchmark Capital, and Coatue Management.

Instinct’s August launch raised serious privacy concerns as its Terms of Service grant the company “a broad “perpetual and irrevocable” license to “access, use, host, cache, store, reproduce, transmit, display, publish, distribute, and modify” any of the user’s materials, including for training its AI models. The terms also detail how Instinct can receive information from users’ devices, including screen captures, cursor movements, and keyboard inputs.”

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ZK Industry Report 2026

Succinct, in collaboration with the Zero Knowledge Podcast, just published its 2026 ZK Industry Report - a snapshot of the state of zero-knowledge (ZK) cryptography, including the current state of technology, research, and various novel use cases. Its verdict: ZK proving is no longer a bottleneck, it’s already widely leveraged in and beyond crypto, yet AI may be its next frontier. Let’s break this down.

Over the last decade, there’s been tremendous progress in ZK technology - “proofs that once took minutes now take seconds, and bespoke circuits have given way to general-purpose zkVMs.” As a result, ZK is now used in government identity systems, consumer applications, and bank settlement infrastructure.

As it advances, ZK has moved into production in crypto and beyond. Today we are seeing governments issuing digital identity using ZK at civic scale, consumer wallets using ZK to verify age without collecting documents, regulators writing ZK into digital identity frameworks, and banks settling assets with ZK proofs.

The report quotes several different applications of the technology, along with the companies building them:

Securing digital asset infrastructure and verifying cross-chain transactions: Optimism Foundation, Polygon Labs, Chainlink Labs, and Lighter are all using ZK to verify asset issuing, settlement, bridging, and exchanging.
Private payments: Zcash Foundation, Aztec, Payy, and Circle are relying on ZK proofs to offer privacy-preserving wallet and payment infrastructure.
Boosting institutional adoption by keeping client data secret: OKX, Binance, ZKsync, JPMorganChase, and Santander have piloted ZK-powered solutions to ensure that reserves, bank settlements and transactions remain confidential.

Digital identity and credentials: the European Commission, Google, World, and Self are all building ZK-based identity solutions.

AI as the Frontier

For years, the crypto space has tried to deliver verifiable AI using zero-knowledge proofs, but ZK has been too slow and costly for commercial applications. That’s finally changing:

Proving that a specific model produced a specific output, without revealing its weights, went from impractical to possible for large language models in 2026. Attestable proved inference for production-scale models including Gemma 4 31B at 53 to 77 tokens per second on a single GPU, with proofs that verify in under a second.

Beyond verifiability, ZK proofs are also already employed in data provenance and media authenticity, and private moderation and reputation scoring.

In his forward to the report, Dan Boneh, professor of Computer Science and Electrical Engineering at Stanford University, outlined other ways in which ZK and AI can be mutually beneficial:

Looking ahead, we are seeing many intersections with AI. AI systems are regularly used to hunt for soundness bugs, optimize prover implementations, and break some (weak) cryptography. We expect that in the near future, every deployed cryptographic system will be vetted by a frontier AI system. Conversely, cryptographic techniques will be needed to contain and constrain advanced models.

Read the full report below to learn more.

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