Nvidia kicked off 2026 with a $65 billion Q4 revenue forecast — a signal that quietly reframed the AI conversation.
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As the backbone of global AI infrastructure, Nvidia is signaling that AI demand is accelerating, not plateauing. Productivity is scaling faster than expected, and the long-running “AI bubble” narrative is starting to fade.
AI isn’t slowing down. It’s becoming more autonomous, more operational, and more deeply embedded in the real economy.
As these systems scale, something else becomes unavoidable: they need rails. Crypto and blockchain increasingly provide that infrastructure — fast settlement, programmable value, verifiable execution, and always-on coordination.
As AI becomes more agentic, crypto scales alongside it, positioning agentic AI as a key driver of AI’s next phase of economic growth.
To understand where this shift is heading in 2026, Blockster spoke with Thomas Mayfield, Head of Decentralized Trust and Identity Solutions at the Cardano Foundation, whose work sits at the intersection of AI, digital identity, and decentralized infrastructure.
AI Agents Will Act on Our Behalf in 2026
Mayfield sees 2026 as the inflection point where AI moves from assistance to authority. Rather than simply supporting human decisions, agentic systems will increasingly be trusted to act on users’ behalf within predefined permissions and constraints.
As he explains:
“In 2026, I anticipate a significant shift where Agentic AI will be granted delegated authority to make active decisions on behalf of individuals,” a transition he believes will ultimately “surpass current human-based interactions in terms of security and resilience to fraud.”
Thomas Mayfield, Head of Decentralized Trust & Identity Solutions at the Cardano Foundation
This represents a fundamental change in how people interact with software. Instead of approving every action manually, users define intent, permissions, and limits once — and autonomous agents operate continuously within those boundaries. Execution accelerates, friction drops, and systems scale without constant human oversight.
But delegation at this level requires more than smarter models. It demands verifiable execution, identity, and trust frameworks that function independently of centralized intermediaries. This is where decentralized identity and onchain verification move from optional tooling to core infrastructure.
Governments Will Lead Digital Identity — Not Big Tech
While large technology platforms continue to debate standards and interoperability, Mayfield expects governments to move first. He predicts that “government services will be the initial large-scale adopters of decentralized identity (DID) technology through National ID schemes.”
Those systems won’t remain siloed. Over time, national identity frameworks are expected to integrate with corporate identity systems and extend into supply chain infrastructure, including Digital Product Passports. As Mayfield notes:
“These government systems are expected to subsequently integrate with Corporate ID systems, ultimately being leveraged within supply chain infrastructures like the Digital Product Passport (DPP).”
Thomas Mayfield, Head of Decentralized Trust & Identity Solutions at the Cardano Foundation
This flips a long-standing Web3 assumption on its head. Rather than startups pushing decentralized identity upward into institutions, national infrastructure will push identity frameworks downstream into enterprises, logistics, and global trade — driven by compliance rather than experimentation.
Once that happens, corporations won’t adopt decentralized identity because it’s innovative. They’ll adopt it because they have no choice.
EU Rules Will Force a Corporate Identity Reset
That regulatory pressure is already forming. Upcoming EU supply chain and data regulations are expected to trigger widespread enterprise demand for verifiable identity and data attribution.
Mayfield sees 2026 as the year these requirements move from planning to enforcement, noting that “new EU regulations will drive significant demand for verifiable data, prompting enterprises to adopt verifiable identity and data technologies.”
Verification inside isolated systems won’t be enough. To function across real-world supply chains, providers will need to support cross-domain secure attribution — enabling identity and data verification across fragmented ecosystems and networks.
The challenge isn’t technical feasibility. It’s balance. As Mayfield puts it:
“A key challenge for these providers will be balancing the need for interoperability and ease-of-use with critical privacy concerns, self-sovereign controls, and future-proof security.”
Thomas Mayfield, Head of Decentralized Trust & Identity Solutions at the Cardano Foundation
This is where many legacy systems fall apart. They were never designed for selective disclosure, cryptographic proof, or cross-domain verification.
Decentralized identity frameworks were.
Digital Product Passports Without Surveillance
Privacy remains one of the most misunderstood aspects of this transition.
Digital Product Passports are often framed as potential surveillance tools, but Mayfield is clear that this outcome isn’t inevitable. In his view:
“A self-sovereign approach is key to Digital Product Passports, allowing all parties in a value chain to disclose data selectively.”
Thomas Mayfield, Head of Decentralized Trust & Identity Solutions at the Cardano Foundation
That selectivity depends on architectural separation. Rather than centralizing sensitive information, effective DPP systems rely on “a blend of off-chain and on-chain data repositories,” where private data remains secure off-chain and only verifiable proofs are anchored on-chain.
Preventing abuse is just as important as enabling access. Mayfield stresses that “essential to preventing surveillance and protecting Personally Identifiable Information is the use of open protocols that prioritize security and privacy.” Regulation still plays a role as a backstop, particularly to prevent verified data from being correlated, enriched, and resold by intermediaries.
The objective isn’t total visibility. It’s selective proof.
Systems should be able to verify everything that matters without revealing what doesn’t. That balance — transparency without surveillance — is only achievable through cryptography, decentralized identity, and programmable access controls.
Why This Matters Now
As AI systems gain delegated authority, trust becomes infrastructure. Autonomous agents can only operate at scale if identity, execution, and accountability are verifiable by default.
This is the shift Mayfield is pointing to: AI moving from tools we use to agents we authorize.
And crypto is what makes that transition possible.
AI creates the demand for autonomy.
Cryptography provides verifiable trust.
Decentralized identity enables coordination without centralized control.
If 2025 was about proving agentic systems could function, 2026 is shaping up to be the year they’re trusted to act.