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The "2025 AI with Purpose Global Summit Taipei 2025," jointly organized by Taiwan Mobile, the Global Enabling Sustainability Initiative (GeSI), and the Taiwan Electrical and Electronic Manufacturers' Association (TEEMA), successfully concluded today (June 29th). The two-day summit attracted nearly a thousand industry experts, participating both in person and online. Centered on three main themes – AI for sustainable development, scaling digital infrastructure, and establishing a global governance platform – the summit injected new momentum into Taiwan's industry and the global AI and Information and Communication Technology (ICT) ecosystem. The second day focused on "Digital Infrastructure" and "Setting a Global Stage," delving into the energy foundation and international collaboration mechanisms required for large-scale AI development, as well as Asia's role and challenges within the global AI governance framework.
Today's (June 29th) proceedings began with a keynote address by Dr. Tzi-cker Chiueh, General Director, Delta Research Center of Delta Electronics, Inc. He shared insights on "Intelligent Matching for the Production and Consumption of Green Electricity," emphasizing that establishing a predictable, real-time, and flexible renewable energy dispatch platform will be central to achieving sustainable AI expansion. Dr. Yi-Chin Lin, Deputy Minister, Ministry of Digital Affairs, R.O.C, delivered a special address titled " establishing a global governance platform." He shared how Taiwan combines its ICT and semiconductor strengths and utilizes five key strategies to comprehensively support AI industry development: computing power support, data sharing, talent cultivation, industry marketing, and capital injection, strengthening Taiwan's strategic position on the global AI stage.
Scaling AI Challenges: Energy, Hardware, and Infrastructure as Key Pillars
On the topic of "Digital Infrastructure," Dr. Tzi-cker Chiueh, General Director, Delta Research Center of Delta Electronics, Inc., presented "Intelligent Matching for the Production and Consumption of Green Electricity" He highlighted that renewable energy's intermittent and highly volatile nature, without effective dispatch, leads to lower green energy utilization efficiency. This also forces companies to face "take-or-pay" clauses, where they must pay the full cost of purchased green electricity even if unused, alongside the dual cost pressure of supplementing with grey electricity. Dr. Chueh used a simulated case to illustrate how, through AI algorithms and contract configuration models, companies can dynamically match generation and consumption needs, increasing green electricity utilization from 83.6% to 87% while reducing reliance on grey electricity. Facing international trends like the EU's Carbon Border Adjustment Mechanism (CBAM) and the RE100 initiative, he urged the industry to accelerate the shift from "monthly reconciliation of green electricity production and consumption" to "15-minute real-time reconciliation." He also called for the construction of a power supply and demand dispatch platform that is predictive, flexible, and real-time, leveraging AI to optimize green electricity allocation and achieve the dual goals of digital infrastructure scaling and sustainable AI expansion.
In the session "The Core of AI – Components, Devices, and Connectivity," James Liu, President, THE SYSCOM GROUP, served as the introducer. Dr. Albert Liu , Founder and CEO, Kneron; Crystal Hsu, Head of Government Affairs, Cisco; Glenn Burm, Global Semicon Practice Leader, PwC; Nan Feng, Chairman, Deep Rock, focused on the foundational support behind AI development, including chip design and manufacturing, edge computing devices, and high-speed data transmission capabilities. With the rapid growth of generative AI and edge applications, market demand for inference accelerators, high-performance chips, and AI-Ready network architectures is simultaneously increasing. The discussion emphasized that AI does not operate solely on the cloud and models; its true implementation and expansion rely on integrated infrastructure support, from flexible semiconductor supply chain layouts and low-power optimization at the device end to affordable and compliant high-speed connectivity technologies. As enterprises accelerate the deployment of AI solutions in manufacturing, healthcare, transportation, and energy sectors, the demand for real-time performance and energy efficiency has also significantly increased. Future competition will hinge on balancing performance, cost, and sustainability, while also achieving dominance in supply chain and technological evolution.
In the "Scaling AI Sustainably – Compute, Resources, and Infrastructure" discussion, expert panelists including Justin Goh, Head of Consulting, Metrodata.ai; Alessandro Gropelli, Director General, Connect Europe; Jose Jacob K, Chairman, Future ICT Forum & TIA Summit; Shizuka Kanie, Strategy and Alliance, NEC; Thomas Archer, Global Tech Practice Leader, PwC, delved into the infrastructure challenges posed by expanding AI applications, covering topics such as AI data center operations, 5G and satellite communication integration, renewable energy adoption, and modular deployment. The panelists pointed out that high-density AI computing will lead to increased performance pressure. In the future, it will be necessary to rely on low-latency, high-efficiency infrastructure design, integrating land use, cooling systems, and energy dispatch to achieve sustainable resource allocation. Alessandro Gropelli mentioned that Taiwan Mobile, as one of the organizers of this forum, underscores the importance of the telecommunications industry in promoting AI and sustainable development. The telecom industry provides data transmission and connectivity support for AI, serving as an indispensable driving force for application implementation. While AI's shift towards edge computing can improve efficiency, it will also exacerbate energy consumption. Therefore, future efforts will require greater policy guidance and infrastructure integration to enhance AI capabilities while balancing energy efficiency and environmental sustainability.
In the "Organizing for Enablement at Scale: Code of Conduct & Governance" panel discussion, Luís Neves, CEO, GeSI; Shannon McCarthy, Secretary General, IDRA; Andrew W. Smyth, Engineering Researcher and Professor, Columbia University (USA); Bruno Oberle, President, World Resources Forum; Heng Wang, Professor of Law; Associate Dean, Singapore Management University, focused on how to establish an AI governance framework with transparency, accountability, and ethical standards as AI increasingly integrates into operational decisions and public services. The panelists noted that current AI governance faces a situation where development outpaces regulatory formulation. Without clear codes of conduct and cross-sectoral collaboration mechanisms, risks such as privacy breaches, bias, and misuse will be exacerbated. In the future, the focus should be on "responsible AI," constructing an institutional framework encompassing policy, technology, and practical levels, and strengthening stakeholder participation to ensure that AI's expanding applications also consider human well-being and sustainable values.
The "Organizing for Enablement at Scale: Committed Goals" panel discussion focused on how organizations can set specific, measurable sustainability goals and transparent reporting mechanisms when deploying AI at scale. Kevin Thompson, COO of GeSI; Dr. Chien-Ming Lee, Adjunct professor of Institute of Natural Resource Management, National Taipei University; Mike Merry, Co-Founding and CTO, Planetary Accounting; Nizar Kammourie, CEO, Sawaco; Dr. Vic Wu, Specialist Sales Lead, Specialist Team Unit, Microsoft Taiwan, discussed in depth that AI, as a crucial tool for driving sustainable transformation, should not merely improve internal operational efficiency. It should go beyond traditional carbon footprint calculations and actively introduce the "Handprint" concept, quantifying the positive impact AI has in helping clients and the entire ecosystem reduce emissions and create benefits through process optimization and improved resource efficiency. The experts called for the establishment of globally consistent measurement standards and frameworks to ensure that AI's comprehensive impact on the economy, society, and environment can be objectively assessed, serving as an important basis for enterprises to achieve net-zero transformation and realize responsible AI and sustainable development.
Taiwan's Perspective Focuses on Regional Integration and Global Governance to Drive a New AI Paradigm
Under the core theme of "establishing a global governance platform," Dr. Yi-Chin Lin, Deputy Minister, Ministry of Digital Affairs, R.O.C, delivered a speech titled "Strategies for Taiwan to Win in the AI Battle," He pointed out that Taiwan, with its robust semiconductor foundation and forward-looking cybersecurity policies, plays an increasingly critical role in the global AI development and governance system. Taiwan employs five strategies to comprehensively support AI industry development: computing power support, where the government provides AI teams with free GPU computing power for initial verification, with the private sector taking over after success; data sharing, with relevant regulations being drafted to facilitate enterprises' access to data needed for AI training while strictly protecting personal privacy; talent cultivation, expanding practical training for AI fundamental research talents and engineers, and encouraging the use of large language models for tool and application development; industry marketing, through nationwide AI Demo Days, inviting startup suppliers to showcase products and connect with potential customers to facilitate business matching; and capital injection, where the Ministry of Digital Affairs has allocated tens of billions of New Taiwan Dollars from the National Development Fund to invest in domestic AI startups and digital economy-related industries, strengthening the complete chain from ideation to business models. Dr. Lin emphasized that Taiwan must leverage these policy tools and its inherent advantages to seize opportunities and achieve sustainable development in the global AI revolution.
Following this was the discussion "Decoding Taiwan's Al Potential: Regional Leadership and Global Integration," which provided a comprehensive analysis of the challenges and opportunities within Asia's AI ecosystem from an international perspective. Dr. Niven Huang, Managing Director of KPMG Sustainability Consulting Co., Ltd. in Taiwan; Dr. Jason Yi-Bing Lin, Lifetime Chair Professor, National Yang Ming Chiao Tung University; Dr. Peter Wu, CEO of ASUS Cloud and Asus Life; Dr. Allen Lu, Assistant General Manager of Computing and Artificial Intelligence Technology Group, MediaTek Inc.. They delved into Taiwan's role in AI-driven technologies, the semiconductor industry chain, and smart manufacturing, analyzing the challenges and opportunities in the Asian AI ecosystem and engaging in in-depth discussions on how Taiwan can leverage its leadership role in the global value chain. The meeting emphasized that Taiwan should capitalize on its strengths in semiconductors, communication, and system integration, strengthening data governance and computing resource deployment to build a flexible and resilient AI application system. Facing international competition and standardization trends, only by accelerating open cooperation, enhancing cross-domain integration capabilities, and building upon open platforms and fair resources to expand application scenarios can Taiwan deepen its regional leadership and effectively align with the global AI governance and sustainable development blueprint.
GeSI CEO Luís: "AI with Purpose" for a Sustainable Future – Returning to Taipei Next Year
In his closing remarks, Luís Neves, CEO of the GeSI, stated that it was profoundly significant for the AI with Purpose Global Summit to be held outside of Europe for the first time, choosing Taiwan as its venue. This idea, which emerged in Canada late last year, successfully materialized in Taiwan within just a few months, fully demonstrating the high professionalism and execution capabilities of the TEEMA, Taiwan Mobile, and GeSI teams. He extended his gratitude to the TEEMA, Taiwan Mobile, and GeSI teams for their efforts. The core of AI development should not merely be about generating massive commercial profits, but rather returning to the original intent of technology – being human-centric and benefiting society. The various solutions presented at this summit, whether applied in marine, urban, health, or education sectors, all embody the spirit of "AI with Purpose." He called on global industries and policymakers to jointly adhere to value-driven technological development, making AI a key force in improving human well-being and promoting sustainable development. Neves further stated, "We are not competing over who controls the Earth, but rather working together to build a planet where we can coexist peacefully with quality lives and environmental sustainability." He also pledged that GeSI would return to Taipei next year to continue promoting more AI solutions that can truly bring about change for humanity and the planet.
Taiwan Mobile VP Iris Liu: Tripartite Collaboration Enables Grand Event – Taipei Connects Global Sustainability Efforts
In her closing remarks, Ms. Iris Liu, VP of Sustainable Brand & PR at Taiwan Mobile and GeSI Board Member, stated that the holding of the AI with Purpose Global Summit in Taipei was the result of long-term, multi-session coordination meetings among the TEEMA, Taiwan Mobile, and GeSI teams, consolidating countless efforts and consensuses to successfully bring this internationally influential AI with Purpose global event to fruition. During the event, countless innovative ideas and cross-sectoral collaboration possibilities were sparked, not only showcasing numerous concrete applications but also prompting the industry to collectively consider how to establish more sustainable capital flow models. VP Liu expressed her hope for the AI with Purpose Global Summit to continue to be held in Taipei next year, and she encouraged attendees to continue participating in this important dialogue on promoting the positive forces of technology.
TEEMA Chairman Richard Lee: AI is a Positive Force for Industry Prosperity and Sustainable Development
In his closing remarks, Mr. Richard Lee, Chairman of TEEMA, stated that AI is not merely a tool for enhancing efficiency but should also be a positive force for promoting social good and global sustainability. This forum, jointly organized for the first time by TEEMA, GeSI, and Taiwan Mobile and held in Taiwan, highlights Taiwan's technological strength and international trust. He pointed out that AI development should focus on three main directions: sustainable potential, digital infrastructure, and global cooperation platforms. TEEMA will continue to invite the industry to participate in international events such as New York Climate Week, the Digital with Purpose Summit in Brussels, and COP30, showcasing Taiwan's contributions to green technology. In the future, Taiwan's ICT industry will expand into five major global markets, promoting the implementation of AI in environmental, medical, energy, and other fields, thereby achieving "meaningful growth" that thrives with communities. Chairman Lee also affirmed the commitment of the younger generation to sustainability issues, expressing his expectation that this summit will serve as a starting point for deepening the integration of AI and sustainability.
