Bitroot CEO Juan José said at a roundtable during GWDC 2026 Korea that the biggest change AI is bringing to Web3 is speed, with more automatable tasks now being handled by AI systems that continue to improve over time. He argued that this shift raises a harder question around responsibility when autonomous agents make mistakes.
According to Juan José, the industry is moving toward machine-to-machine interaction, while the human role in transactions will become lighter. That makes trust a core requirement. Participants need to know what machines are doing, define their permissions, and identify those machines in a reliable way. He said responsibility between humans and machines still cannot be clearly assigned today, and described Bitroot’s goal as making that boundary explicit.
On remediation, he said safeguards should be built in from the start, including the ability for models to reverse certain actions. His advice to developers was direct: the safety of using AI depends on the level of trust, and AI models need clearly defined limits.
GWDC 2026 Korea is being held on Sept. 29-30, 2026, at the aT Center in Seoul, South Korea. The event is hosted by Web3Labs and co-organized by Techub News, HypaiLabs, and TokenPost.
Speaking during a roundtable, Bitroot CEO Juan José said the most important change AI is bringing to Web3 is speed. Tasks that can be automated are increasingly being taken over by AI, and those systems are continuing to improve.
Trust, permissions, and identification for machine interaction
When discussing responsibility for errors made by intelligent agents, Juan José said the future will involve machine-to-machine interaction, with humans playing a lighter role in transactions. In that setting, trust becomes necessary. Market participants need to know what machines are doing, define permissions, and identify those machines.
He added that it is still not possible to clearly assign responsibility to either humans or machines at this stage, and said Bitroot’s goal is to define that issue more clearly.
Reversal mechanisms should be built in from the start
On how to handle mistakes after they happen, Juan José said those safeguards need to be considered at the design stage, so that models can allow certain actions to be reversed.
His advice to developers was that the safety of using AI depends on the level of trust, and that clear boundaries must be set for AI models.
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