If Consensus Hong Kong 2026 had an unofficial theme, it wasn’t Bitcoin or regulation. It was synthetic intelligence — and the scramble to determine what it truly means for crypto.
AI surfaced in virtually each context: main-stage keynotes, side-event panels, enterprise capital conferences, and even the post-conference temper. However the conversations weren’t uniform. They ranged from Hong Kong authorities officers endorsing the machine financial system to enterprise capitalists declaring the AI hype cycle in crypto already over.
Enterprise AI Brokers Are Already Deployed
On the Gate’s facet occasion, Sophia Jin, Hong Kong Tech Director at Byteplus — ByteDance’s enterprise expertise arm — revealed that a number of main crypto exchanges are already utilizing the corporate’s AI agent merchandise. She outlined three use circumstances in manufacturing: clever customer support that comes with deep analysis and buying and selling state of affairs matching; multi-agent analysis techniques with parallel information assortment; and AML workflow automation with human oversight at determination factors.
Essentially the most notable element was the security structure. Byteplus locations guardrails outdoors the agent orchestration layer — a kill swap that may halt brokers instantly in the event that they breach outlined boundaries. Jin projected that inside two years, each alternate worker may have an enterprise-grade AI assistant, whereas onboarding new customers will develop into dramatically simpler by way of AI-powered customized training.
Two Years Till AI Outthinks You
Ben Goertzel, CEO of decentralized AI market SingularityNET, supplied the convention’s most provocative timeline. He gave people roughly two years earlier than AI surpasses them in strategic considering.
“The human mind is best at taking the imaginative leap to know the unknown,” Goertzel stated iat Consensus. It gained’t final, although. “We should always get pleasure from it for a pair extra years.”
Whereas his Quantium mission can already predict short-term Bitcoin volatility with excessive accuracy, Goertzel famous that long-term strategic considering stays uniquely human — for now. He described the present bear cycle as a “stress take a look at” for infrastructure that may finally host synthetic normal intelligence.
Bitget CEO Gracy Chen supplied a extra grounded view. On a panel about agentic buying and selling, she in contrast present AI buying and selling bots to interns — quicker and cheaper however requiring supervision. Historic data-driven fashions have by no means encountered occasions like the ten/10 liquidations, she famous, making human intervention important in unfamiliar situations. However inside three to 5 years, she projected, AI might change many human roles.
Saad Naj, CEO of agentic buying and selling startup PiP World, countered that people might not be the fitting baseline. “As people, we’re too emotional. We will’t compete with AI options,” he stated, noting that 90% of day merchants lose cash.
Constructing the Cost Layer for Brokers
If the primary stage offered the imaginative and prescient, facet occasions tried to construct the plumbing.
On the Stablecoin Odyssey occasion at Soho Home, the panel “Constructing Cost Blockchains for the Agentic Economic system” centered on what infrastructure AI brokers really want. Nellie Tan, Cost Head at Monad, launched Coinbase’s X402 protocol — an HTTP-native on-chain cost commonplace — and argued that agentic funds would generate transactions “on the velocity of knowledge,” requiring throughput of hundreds to tens of millions per second.
Eddie, CEO of cost middleware AEON, framed the shift as an interface transition. When shoppers work together by way of AI brokers fairly than apps, each industrial interplay funnels by way of a single level — and the final mile is all the time a cost. His firm processes what he described as 80% of crypto funds by way of partnerships with OKX, Bybit, and others.
The query of which blockchain AI brokers would select remained open. Mate Tokay, CMO of OP_CAT Layer, famous that nobody but is aware of whether or not brokers will choose chains based mostly on coaching information, expertise, velocity, or safety. The reply possible depends upon the transaction — giant asset transfers prioritize safety, whereas shopper purchases prioritize velocity.
Crypto as Forex for AI — or Simply One other Hype Cycle?
Essentially the most placing endorsement got here from outdoors the business. Hong Kong Monetary Secretary Paul Chan Mo-po used his look to border AI brokers as an financial power that crypto is uniquely positioned to serve.
“As AI brokers develop into able to making and executing choices independently, we could start to see the early types of what some name the machine financial system, the place AI brokers can maintain and switch digital belongings, pay for providers and transact with each other onchain,” Chan stated.
Binance CEO Richard Teng pushed it additional. “If you consider the agentic AI, so the reserving of resorts, flights, no matter purchases that you’d make, the way you suppose that these purchases might be made — it’ll be through crypto and stablecoins,” he stated. “So, crypto is the foreign money for AI, if you consider it.”
However enterprise capitalists poured chilly water on the broader “AI + crypto” narrative. Anand Iyer of Canonical Crypto described the second as a trough. “We went by way of a frothy interval. Now it’s about determining the place the actual power lies,” he stated. Each Iyer and Kelvin Koh of Spartan Group criticized overinvestment in GPU marketplaces and makes an attempt to construct decentralized alternate options to OpenAI or Anthropic — initiatives that require capital far past what crypto can muster.
As a substitute, each see potential in purpose-built options that begin with a selected downside. Proprietary information, regulatory edges, or go-to-market benefits now matter greater than technical novelty. Koh’s recommendation to founders was blunt: “Twelve months in the past, it was sufficient to have a wrapper on ChatGPT. That’s now not true.”
What’s Forming
Conversations amongst business individuals pointed towards a framework taking form: stablecoins serving as worth rails for agent transactions, prediction markets dealing with data pricing, AI techniques executing trades and operations, and bodily robotics extending the loop into the actual world. It’s not a single mission or protocol — it’s a thesis about the place crypto and AI intersect productively, with out counting on the speculative cycles that drove earlier bull runs.
A parallel thread runs by way of decentralized AI. Present techniques are centralized and opaque. The concept of clear, verifiable, community-governed AI networks aligns with crypto’s founding ideas — and Goertzel, amongst others, pointed to the expansion of such initiatives on the occasion as proof that convergence is underway.
The pure hypothesis cycle could not return. However at Consensus Hong Kong, the argument that AI provides crypto a motive to exist past buying and selling was made concurrently from the federal government podium, the alternate boardroom, and the enterprise capital assembly. That’s a special type of consensus.
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