Cardano Is Already Running Behind 200 German Companies, Foundation CEO Says

bitcoinistPubblicato 2026-04-17Pubblicato ultima volta 2026-04-17

Introduzione

Cardano Foundation CEO Frederik Gregaard revealed that approximately 200 large German companies are already using Cardano’s blockchain infrastructure—without being aware of it—through agentic AI deployments. These firms leverage Cardano as a security, digital identity, and accountability layer, particularly for verifying AI agents and ensuring data privacy without disclosure. Gregaard emphasized blockchain’s evolving role as a foundational trust layer for AI systems rather than just a payment rail. He noted that regulated stablecoins like USDM are used for microtransactions between AI agents, aligning incentives and enhancing security. He also highlighted Cardano’s regulatory positioning as a commodity, its quantum security features, and potential growth under emerging US and EU legislation. At the time of reporting, ADA was trading at $0.2566.

Cardano is already being used by roughly 200 large companies in Germany through agentic AI deployments, even if those firms do not realize the blockchain is sitting underneath their stack, according to Cardano Foundation CEO Frederik Gregaard. The claim, made during an interview with Jane King on GBBC’s Markets on Chain series from the New York Stock Exchange published April 16, points to a version of blockchain adoption that is less visible to end users but potentially more embedded in enterprise infrastructure.

200 German Companies Use Cardano Without Even Knowing It

Gregaard framed the Cardano Foundation’s role as pushing blockchain into systems people use without necessarily recognizing it. “We have about 200 companies in Germany who live on agentic AI, fairly large companies, and they don’t even know they’re using Cardano as a security layer, as a digital identity layer and as an accountability layer,” he said. “Part of when you have, for instance, agentic AI who’s using data from two different databases, [is] ensuring that the agentic AI is who they say they are, that they have the data they claim without disclosing it, because we want privacy.”

That argument was central to Gregaard’s broader pitch: blockchain, in his view, is becoming an underlying trust and coordination layer for AI-driven systems rather than simply a rails story for tokens or payments. He described a model where users could interact with seamless consumer applications while Cardano handles provenance, identity and compliance in the background. The point was less about visible crypto branding than about infrastructure-level deployment.

Payments still featured prominently. Gregaard said AI agents in some of these systems are already transacting using a regulated stablecoin called USDM, with microtransactions used to meter prompt activity and align incentives between participants. “The AIs are actually paying themselves using regulatory compliant stablecoins,” he said. “There’s a microtransaction happening just to do the prompts. And that’s also part of the security layer, which ensures that one database who has more computing power than the other doesn’t do unlimited prompts and can circumvent the security.”

Why Cardano Could Strive In The EU And US

The interview also tied that enterprise and AI narrative to policy. Gregaard said the US stablecoin framework under the GENIUS Act had moved the market closer to Europe’s MiCA regime, but argued the more consequential shift could come from the Clarity Act. He said he expects that legislation, if passed, to unlock materially broader blockchain usage beyond financial applications, adding that “hundreds of companies” are already waiting on that kind of legal certainty. He further claimed that recent regulatory language had made clear that “Cardano is a commodity,” and suggested the US could move faster than Europe on this front.

Alongside adoption, Gregaard leaned heavily on security. He said Cardano’s on-chain governance model and distributed validator base make it harder to compromise through a single point of failure, a contrast with networks he described as effectively controlled by a small number of insiders. He also argued that Cardano is emerging as a “first level quantum secure environment” through its interoperability with legal entity identity standards, which he said is drawing interest from banks, brokers, exchanges and central securities depositories.

At press time, Cardano traded at $0.2566.

ADA hovers below key resistance, 1-monthly chart | Source: ADAUSDT on TradingView.com

Domande pertinenti

QAccording to the Cardano Foundation CEO, how many large companies in Germany are using Cardano without realizing it, and for what purposes?

AAccording to Cardano Foundation CEO Frederik Gregaard, roughly 200 large companies in Germany are using Cardano as a security layer, a digital identity layer, and an accountability layer in their agentic AI deployments, without even knowing the blockchain is underneath their stack.

QWhat specific type of digital currency are the AI agents using for microtransactions in these systems, and what is its purpose?

AThe AI agents are using a regulated stablecoin called USDM for microtransactions. These microtransactions are used to meter prompt activity and align incentives between participants, and they form part of the security layer to prevent abuse.

QWhat US legislation does Gregaard suggest could unlock significantly broader blockchain usage beyond financial applications?

AGregaard suggests that the Clarity Act, if passed, could unlock materially broader blockchain usage beyond financial applications. He claims that 'hundreds of companies' are waiting for this kind of legal certainty.

QHow does Gregaard contrast Cardano's security model with that of other networks?

AGregaard contrasts Cardano's security by highlighting its on-chain governance model and distributed validator base, which make it harder to compromise through a single point of failure. He contrasts this with networks he describes as effectively controlled by a small number of insiders.

QWhat two key regulatory frameworks does the article mention in the context of stablecoins, and which region does Gregaard suggest might move faster on classifying assets like Cardano?

AThe article mentions the US stablecoin framework under the GENIUS Act and Europe's MiCA regime. Gregaard suggests that the US could move faster than Europe on providing regulatory clarity, recently stating that regulatory language has made clear that 'Cardano is a commodity.'

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On the night of February 9th, GitHub suffered a major outage caused by a simple configuration change—reducing a cache refresh interval from 12 to 2 hours—that triggered a cascade of failures. This was not an isolated event, but part of a broader pattern. In early 2026, GitHub experienced at least 8 major incidents, failing to meet its promised 99.9% availability. These outages stemmed from structural issues: explosive growth in load, tight service coupling, and insufficient protection against abnormal traffic. This unprecedented load is driven by AI Agents. In 2025, GitHub handled ~1 billion commits. By 2026, weekly commits reached 275 million, projecting to ~14 billion for the year—a 14x increase. AI tools like Claude Code now contribute 4.5% of all public repository commits, with weekly submissions surging 25x in just three months. AI-generated pull requests jumped from 4 million to 17 million per month in half a year. Unlike human developers, AI Agents work continuously, generating commits at a scale that overwhelms infrastructure designed for human rhythms. The surge also shattered GitHub's business model. Copilot's flat-rate pricing, based on assisting human developers, became unsustainable as Agentic AI sessions consumed resources worth hundreds of dollars for a few dollars in fees. In response, GitHub imposed usage limits and, by June 1st, shifted to a pay-per-use "AI Credits" system. Facing this new reality, GitHub realized a 10x scaling plan was insufficient. It announced a need to *redesign* its architecture for 30x current scale—decoupling services, adding fault isolation, and improving change management to prevent cascading failures. Other platforms like Stripe and AWS are facing similar challenges with AI Agents. Fundamentally, GitHub is transitioning from a human collaboration platform to an "exhaust pipe" for automated AI workflows. Its detailed post-mortem reports aim to maintain trust during this turbulent rebuild. The February outage was not just a technical glitch, but a signal of the software industry's entry into a new, AI-driven era.

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