NEWSAR
Multi-perspective news intelligence
SRCSouth China Morning Post
LANGEN
LEANCenter-Right
WORDS196
ENT8
TUE · 2026-03-24 · 02:30 GMTBRIEF NSR-2026-0324-31671
News/Surging demand for AI agents fuels Hong Kong’s race to expan…
NSR-2026-0324-31671News Report·EN·Technology

Surging demand for AI agents fuels Hong Kong’s race to expand computing power

Hong Kong is increasing its AI computing capacity in response to predictions of a massive surge in demand driven by autonomous AI agents. Chinese chip executives, including Moore Threads CEO Zhang Jianzhong and MetaX chairman Chen Weiliang, highlighted the exponential increase in token consumption associated with the shift to agentic AI workflows at a recent AI summit in Hong Kong.

Eunice XuSouth China Morning PostFiled 2026-03-24 · 02:30 GMTLean · Center-RightRead · 1 min
Surging demand for AI agents fuels Hong Kong’s race to expand computing power
South China Morning PostFIG 01
Reading time
1min
Word count
196words
Sources cited
3cited
Entities identified
8entities
Quality score
100%
§ 01

Briefing Summary

AI-generated
NEWSAR · AI

Hong Kong is increasing its AI computing capacity in response to predictions of a massive surge in demand driven by autonomous AI agents. Chinese chip executives, including Moore Threads CEO Zhang Jianzhong and MetaX chairman Chen Weiliang, highlighted the exponential increase in token consumption associated with the shift to agentic AI workflows at a recent AI summit in Hong Kong. Zhang emphasized that cost efficiency in token offerings will be crucial for building effective AI infrastructure. Currently, Hong Kong possesses 5 ExaFLOPS of computing power, significantly less than Beijing and Shanghai, prompting the city to expand its capabilities to remain competitive in the AI landscape.

Confidence 0.90Sources 3Claims 6Entities 8
§ 02

Article analysis

Model · rule-based
Framing
Technology
Economic Impact
Tone
Measured
AI-assessed
CalmNeutralAlarmist
Factuality
0.70 / 1.00
Factual
LowHigh
Sources cited
3
Well sourced
FewMany
§ 03

Key claims

6 extracted
01

Shanghai has 120 ExaFLOPS of computing power.

factualZhang Jianzhong
Confidence
0.90
02

Beijing has 60 ExaFLOPS of computing power.

factualZhang Jianzhong
Confidence
0.90
03

Hong Kong has 5 ExaFLOPS of computing power.

factualZhang Jianzhong
Confidence
0.90
04

Whoever offers the cheapest tokens will be able to build better infrastructure for everyone.

quoteZhang Jianzhong
Confidence
0.90
05

Autonomous AI agents will trigger an unprecedented explosion in computing demand.

predictionZhang Jianzhong
Confidence
0.80
06

Transition from LLMs to agentic AI workflows caused a 6,400% increase in average daily token consumption.

statisticChen Weiliang, citing SemiAnalysis report
Confidence
0.70
§ 04

Full report

1 min read · 196 words
As leading Chinese chip executives predict that autonomous AI agents will trigger an unprecedented explosion in computing demand, Hong Kong is accelerating efforts to expand its artificial intelligence computing capacity.Calling token consumption in the era of AI “far beyond our imagination”, Zhang Jianzhong, founder and CEO of graphics processing unit designer Moore Threads, said at an AI summit in Hong Kong on Saturday that the exponential surge in demand had made it impossible for anyone to accurately predict future needs.Zhang argued that competitive edge was no longer about sheer volume; rather, it was to do with cost efficiency. “Whoever offers the cheapest tokens will be able to build better infrastructure for everyone,” he said.Chen Weiliang, chairman and general manager of chip designer MetaX, echoed Zhang’s views.Citing a recent SemiAnalysis report, Chen attributed a 6,400 per cent increase in average daily token consumption to the industry’s transition from basic large language models to agentic AI workflows.Zhang Jianzhong, founder and CEO of graphics processing unit designer Moore Threads. Photo: HandoutHong Kong currently has 5 ExaFLOPS of computing power, compared with 60 ExaFLOPS in Beijing and 120 ExaFLOPS in Shanghai, according to Zhang, another speaker at the AI Summit.
§ 05

Entities

8 identified
§ 06

Keywords & salience

9 terms
ai agents
0.90
computing power
0.80
hong kong
0.70
artificial intelligence
0.70
token consumption
0.60
ai summit
0.50
large language models
0.50
cost efficiency
0.40
graphics processing unit
0.40
§ 07

Topic connections

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