Alisa Davidson
Revealed: August 01, 2025 at 11:00 am Up to date: August 01, 2025 at 9:42 am
Edited and fact-checked:
August 01, 2025 at 11:00 am
In Transient
A standout panel on the Hack Season Convention explored how blockchain may reshape AI’s future—by means of decentralized compute, storage, id, and information attribution—providing actual options to centralization, belief, and scalability challenges.
July is formally behind us. So, it’s an amazing second to look again at probably the most forward-thinking panels of the month — a standout from the Hack Season Convention in Cannes. The session dove deep into the collision of blockchain and AI brokers, bringing collectively a few of the most technically formidable founders at this intersection. The dialogue didn’t maintain again — tackling the place issues stand, what’s damaged, and the place this house may realistically be headed.
The panel featured:
Moderated by Tomer, the session minimize by means of hype to look at how blockchain may actually reshape the way forward for AI—and what it would take to get there.
Decentralized Compute: The Basis for Scalable AI
Tom Trowbridge kicked off with a easy however compelling premise: the AI revolution isn’t nearly good fashions—it’s about entry to infrastructure. Fluence is constructing a decentralized compute community that begins with CPUs and is increasing to GPUs. Why? As a result of proper now, massive centralized firms are locking up a lot of the world’s compute energy, creating huge limitations to entry for smaller gamers.
He argued that AI is quickly turning into a central supply of fact in our digital lives—very like engines like google or information aggregators as soon as did. And as that energy concentrates in a couple of fingers, it turns into susceptible to bias, censorship, and affect. Blockchain, in keeping with Trowbridge, gives a means out of this entice by decentralizing not simply the coaching and inference layers, however the very concept of AI fact itself.
In his view, probably the most trusted AIs of the longer term gained’t be constructed by the richest firms—however by networks with out shareholders, with out board strain, and with out centralized management.
Information Belief and the Storage Layer
Clara Tsao from the Filecoin Basis picked up this thread with a take a look at the info provide chain that feeds AI. If AI goes to generate a lot of the world’s digital content material by 2026—as some estimates recommend—then how that information is saved, accessed, and verified turns into a foundational concern.
Filecoin’s decentralized storage layer is constructed for exactly this world. Clara burdened the significance of traceability, notably as customers start offloading extremely private or delicate info to AI brokers. Whether or not it’s relationship recommendation, remedy notes, or company secrets and techniques, customers typically don’t know the place their information is being saved or who can entry it.
Filecoin goals to supply not simply decentralization, however transparency—giving customers confidence that their content material is saved verifiably and immutably. She pointed to potential use instances starting from scientific reproducibility to journalism and content material attribution—sectors which can be notably susceptible to deepfakes and AI-generated misinformation.
AI Wants Web3—however It Doesn’t Know It But
Mathieu Baudet of Lineara introduced a candid and barely contrarian perspective. He argued that regardless of the philosophical alignment, most AI firms don’t but care about what Web3 can supply. They’re targeted on scale, velocity, and efficiency—not decentralization. However he believes that can change as soon as safety and integrity points grow to be too large to disregard.
In line with Baudet, at the moment’s blockchains weren’t designed for machine-to-machine interplay. AI brokers that need to work together with blockchains securely typically need to depend on centralized RPC suppliers—creating assault surfaces that undermine the entire premise of decentralization.
Lineara’s answer? Sparse shoppers that give customers (and brokers) the power to regionally retailer and confirm related elements of the blockchain with out the necessity to belief third-party intermediaries. This structure permits for extremely safe, low-latency interactions—precisely what AI brokers will want after they begin working autonomously in monetary markets, provide chains, or digital id techniques.
Who Controls the Information?
Kamesh from OpenLedger emphasised the often-overlooked drawback of attribution. Proper now, there’s no clear approach to monitor how particular information units contribute to an AI mannequin’s habits. That creates an enormous disconnect: content material creators gasoline the coaching course of, however they’re by no means compensated—and infrequently, not even acknowledged.
OpenLedger’s imaginative and prescient is to make information provenance seen and enforceable. In the event you can hint how a mannequin’s outputs had been formed by particular information, then you can begin to construct techniques the place contributors receives a commission—robotically and verifiably. This isn’t only a technical drawback, Kamesh famous—it’s a authorized and moral one, and it’s already creating friction between AI firms and rights holders.
He believes blockchain is uniquely suited to resolve it, particularly as regulators and creators start demanding accountability in how information is collected and monetized.
Brokers as Customers: Why the UX Doesn’t Matter Anymore
Returning to the position of AI brokers, Tomer of Addressable posed a provocative concept: AI brokers will grow to be probably the most environment friendly customers on this planet. They don’t care in regards to the model, they don’t want gross sales reps, and so they’re detached to poor UX—so long as the efficiency and pricing is true.
This has main implications for Web3 adoption. Many promising crypto initiatives wrestle to get traction as a result of they’re too technical or too clunky for mainstream customers. However AI brokers don’t want slick onboarding—they simply want APIs. On this means, Tomer argued, AI brokers may truly speed up adoption of decentralized applied sciences by performing as super-users: autonomous, tireless, and laser-focused on effectivity.
He additionally warned that id will grow to be a crucial situation as brokers multiply. With numerous non-human entities working on-line, verifying human provenance—proving that somebody on the opposite finish is definitely an individual—will grow to be a urgent problem. Right here too, blockchain may supply probably the most elegant answer.
What Will Blockchain Imply for AI in Three Years?
The panel closed with a rapid-fire take a look at the longer term. Every participant supplied a imaginative and prescient of the place blockchain’s intersection with AI will grow to be indispensable:
Kamesh pointed to authorized and enterprise use instances—particularly agent traceability and mannequin transparency—as doubtless early adopters. Clara emphasised decentralized storage because the important base layer for a reliable AI future, with attribution, reproducibility, and journalistic integrity as crucial use instances. Mathieu predicted the rise of embedded brokers with direct, safe blockchain entry—shaping all the things from DeFi to good infrastructure. Tomer targeted on id, suggesting that blockchain could possibly be the important thing to distinguishing people from brokers because the digital world will get more and more crowded with non-human entities.
One factor all of them agreed on: the AI panorama is shifting quick—and the issues of at the moment will look quaint in just some years.
To catch each perception from the panel, watch the total video right here: AI & AI Brokers: Find out how to Win within the New Period
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About The Writer
Alisa, a devoted journalist on the MPost, makes a speciality of cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising tendencies and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.
Extra articles
Alisa Davidson
Alisa, a devoted journalist on the MPost, makes a speciality of cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising tendencies and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.
Extra articles
