
The AI infra tokenizer GAIB AI launched the AI Dollar ($AID), a fully-backed synthetic dollar (ERC-20) pegged 1:1 to stablecoins and U.S. Treasuries, designed as an entry point to GAIB’s AI and robotics infrastructure funding ecosystem.
Along with $AID, GAIB also unveiled $sAID — a yield-bearing liquid-staking token (ERC-20) that represents shares in a tokenized portfolio of AI and robotics infrastructure deals; staking $AID yields $sAID.
At launch, $AID is live on Ethereum, Arbitrum, Base Chain, and BNB Chain. Redemption for AID in stablecoins is scheduled to go live on November 21st, whereas secondary markets are to follow.
GAIB’s mission is to combine Real-World Assets (RWA), AI and DeFi (termed “RWAiFi”), to finance capital-intensive AI/robotics infrastructure and give investors direct exposure to those economies.
But where are these AI and robotics infrastructure deals, you may ask. A few days before the release of $AID, GAIB announced the deployment of $50.4M across AI and robotics financing deals in SIAM.AI Cloud, robotics, and neobank partners, with a combined weighted APR of ~16%. What's more, another $725M are next in line to be deployed:
It's been a rather exciting week for the blockchain for agentic payments Kite. On Monday, its native token $KITE debuted with impressive activity: about $263M in trading volume within the first two hours. The token is positioned as the medium for machine-to-machine and agent-to-agent transactions, staking and governance in Kite's “agentic economy”.
$KITE's full tokenomics model was presented last week. With a total supply capped at 10 billion tokens, it will be allocated as follows: 48% to community, 12% to investors, 20% to team and early contributors, and 20% to modules.
Kite also presented The Kite Foundation, aimed at growing the autonomous economy by empowering builders, partners, and innovators within the Kite ecosystem, and published its whitepaper:
TL;DR: Kite enables AI agents to autonomously transact at scale with cryptographic safety and native x402 compatibility—solving the infrastructure crisis imprisoning the agent economy today.
And since I mentioned Coinbase's x402, Kite also recently disclosed an investment from Coinbase Ventures, intended for the advancement of x402 agentic payments. The funding is an extension of Kite’s earlier $33M Series A round, led by PayPal Ventures and General Catalyst.
While AI agents can perform sophisticated operations, they remain constrained by human approval for payments and verification. Kite solves this through its purpose-built blockchain-native network that delivers secure digital identity, programmable spending limits, and instant, low-cost settlements with native stablecoin support.
If you're curious to learn more about the x402 standard, check out my deep dive on the topic here.
The dAI platform Gaia has partnered with Generosity Water, a health-tech / water-intelligence company. Together, they'll power an improved data privacy, decentralized storage/AI processing, and sustainability in water monitoring.
We believe that intelligence shouldn’t be confined to the digital world — it should serve the physical one. That’s why we’re proud to announce our partnership with Generosity™️, a sustainability and health-technology company redefining how the world measures, understands, and trusts water.
Through this collaboration, Generosity™️ is integrating Gaia’s verifiable AI infrastructure into its Water Intelligence Operating System (WIOS) — a new data framework that connects smart hydration devices, refill stations, and environmental sensors to measure water quality, perform predictive analytics, and deliver personalized wellness insights.
Powered by Gaia, Generosity™️ ensures its water data remains verifiable, private, and transparent — owned by the people who create it, not locked inside corporate clouds.
In an article published a couple of days ago, FLock.io argues that tech companies should take the initiative in responsible AI governance, rather than passively waiting for regulators to act. It suggests that companies have more immediate control over many of the risks of AI (design, deployment, transparency, usage) than governments do, so they should take proactive measures and shape the ecosystem rather than reacting later. The article points out that policymaking often lags technological development, so enterprises in the AI space should lead ethically, set standards, and build trust.
AI is advancing quickly, raising many known and unknown risks (bias, misinformation, automation impacts, safety) and waiting for perfect regulation may lead to harms. When firms lead with good practices, they set norms, build credibility with users/regulators/investors, and may avoid regulatory backlash.
Davide Crapis, head of Ethereum Foundation's dAI team, has published “Trust Everything”, a manifesto for cryptographically verifiable civilization and a roadmap for aligning automation, AI, and robotics with democratic, open principles.
In the face of this brave new reality [where the advancement of AI makes it impossible to know who and what to trust], it becomes imperative to develop defensive technologies that can not only protect us against potential damages at the individual level, but also shift the equilibrium to a safe and balanced growth path at the societal level, which can ultimately unlock the steepest path to economic growth and humanity reaching the stars. If we don't do this, the concentration of political power and economic wealth in the hands of a few centralized controllers risks canceling out all the social benefits of technological progress or even send us backwards to a state that some have described as techno-feudalism.
Under defensive technologies, Crapis lists cryptography, privacy, open-source hardware and software, and decentralized systems. He describes the latest developments in each of these areas, while also outlining the priorities we must collectively embrace. Moreover, he ties Ethereum’s role as a neutral coordination layer to the broader ambition of “trust without intermediaries”, suggesting a future where these defense technologies make autonomy and accountability two sides of the same coin.
If successful, trust would become a property of our technological infrastructure itself: supported by transparent, verifiable systems rather than discretionary institutional authority. This would allow autonomous tools to operate in reliably accountable ways, helping ensure that technological progress remains aligned with broad human values and accessible to many stakeholders rather than concentrated among a few.
Thank you for reading! The next edition is coming tomorrow.
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I'm looking forward to connecting with fellow Crypto x AI enthusiasts, so don't hesitate to reach out to me on social media.
Disclaimer: None of this should or could be considered financial advice. You should not take my words for granted, rather, do your own research (DYOR) and share your thoughts to create a fruitful discussion.
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Albena Kostova-Nikolova
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