ZTE participated in the GSMA M360 Eurasia 2026 conference in Samarkand and delivered a keynote on next-generation intelligent infrastructure for Eurasia. The keynote presented a strategy focused on aligning optimal total cost of ownership models with local market requirements to build anti-fragile AI infrastructure. Mobile networks were described as a major driver of wider economic value despite a small direct GDP share. Multi-generation networks increase operational complexity, while AI accelerates demand for traffic and computing power. Networks and computing must operate as a unified system of connectivity, computing, and intelligent services. The keynote also emphasized localized AI as a national priority, requiring local language understanding, cultural alignment, and compliance with regulatory and security needs. Security and anti-fragility were identified as prerequisites for mass AI deployment, supported by cross-domain Autonomous Networks that self-heal and optimize under pressure.
"“Behind this huge opportunity, however, ZTE also faces a new challenge. Multi-generation networks are increasing operational complexity, while AI is driving explosive demand for traffic and computing power. Networks and computing can no longer operate in isolation. They must converge into an integrated system of connectivity, computing, and intelligent services. In simple terms, we are moving from transmitting bits to carrying tokens,” James Zhang pointed out."
"“As GSMA Eurasia report highlights, although the mobile industry accounts for only around 0.5% of GDP directly, it enables as much as 7.7% of wider economic value. ‘Behind this huge opportunity, however, ZTE also faces a new challenge. Multi-generation networks are increasing operational complexity, while AI is driving explosive demand for traffic and computing power.’”"
"“Looking globally, there is a very clear trend: more and more countries are elevating localized AI capabilities to a matter of national strategy. Across Eurasia, governments, operators and industry partners are joining forces to deeply cultivate local LLMs and tailored AI services. When AI enters critical areas such as finance, e-government, education, healthcare and smart cities, it must understand local languages, respect local cultures and meet local regulatory and security requirements.”"
"“James Zhang outlined that for mass AI deployment, security and anti-fragility are necessary. With rising complexity, local failures are bound to happen. To solve this, ZTE provides advanced cross-domain Autonomous Networks. It allows ZTE's network and computing foundation to self-heal during fluctuations and automatically optimize under pressur”"
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