AI Economic Zones

Extracted Attributes

• Mechanism

  Incentivize domestic AI factory construction and onshoring

• Concept Origin

  Proposed by potential Trump administration figures

• Policy Context

  Part of the 'Above the line/below the line policy' for China

• Strategic Goal

  Enhance US global AI competitiveness against China

• Primary Proponent

  Howard Lutnick (potential Commerce Secretary)

• Economic Impact Aim

  Stimulate capital expenditure and productivity boom

• Target Beneficiaries

  Trusted partners

Ai Weiwei

Ai Weiwei ( EYE way-WAY; Chinese: 艾未未; pinyin: Ài Wèiwèi, IPA: [âɪ wêɪ.wêɪ]; born 28 August 1957) is a Chinese contemporary artist, documentarian, and activist. Ai grew up in the far northwest of China, where he lived under harsh conditions due to his father's exile. As an activist, he has been openly critical of the Chinese Government's stance on democracy and human rights. He investigated government corruption and cover-ups, in particular the Sichuan schools corruption scandal following the collapse of "tofu-dreg schools" in the 2008 Sichuan earthquake. In April 2011, Ai Weiwei was arrested at Beijing Capital International Airport for "economic crimes," and detained for 81 days without charge. Ai Weiwei emerged as a vital instigator in Chinese cultural development, an architect of Chinese modernism, and one of the nation's most vocal political commentators. Ai Weiwei encapsulates political conviction and poetry in his many sculptures, photographs, and public works. Since being allowed to leave China in 2015, he has lived in Portugal, Germany, and the United Kingdom.

Web Search Results

• Mapping the AI economy: Which regions are ready for the next ...

  Star Hubs: This group of 28 metro areas forms a second echelon of uniformly strong AI ecosystems, balancing top‑tier talent, research, and enterprise uptake. Emerging Centers: This group of 14 metro areas combines top performance in two pillars with one developing area. Focused Movers: This group of 29 metro areas excels in one AI pillar while maintaining foundations in the other two. Nascent Adopters: This group of 79 metro areas shows moderate performance across all three pillars. [...] Regions Image 13: Africa Africa Image 14: Asia & the Pacific Asia & the Pacific Image 15: Europe & Eurasia Europe & Eurasia Image 16: Latin America & the Caribbean Latin America & the Caribbean Image 17: Middle East & North Africa Middle East & North Africa Image 18: North America North America Search . [...] Others: This group of 43 metro areas currently lags on multiple pillars. In addition, the analysis also touches on 192 of the nation’s smaller metro areas. As the above map shows, the six cluster types account for varied, disparate chunks of the AI economy, with wide scattering across Eastern, Midwest, and Sun Belt states.

• AI and the economic divide: How Artificial Intelligence could widen ...

  The impact of AI on U.S. occupations extends beyond knowledge-centric areas, significantly affecting those reliant on specific industry sectors. The East Coast generally experiences a higher impact than the West Coast, except for tech hubs like Seattle and the Bay Area. These findings highlight the importance of geographical economic structures, with economically diverse areas showing greater resilience to AI-driven changes. Policymakers should consider specific strategies to support areas most [...] tech industries, our findings show that areas heavily dependent on industries susceptible to AI-driven changes (e.g., manufacturing and healthcare) are equally affected. Additionally, the East Coast experiences a greater overall impact of AI compared to the West Coast, with notable exceptions such as Seattle and the Bay Area [...] We found that, on average, the East Coast in U.S. experiences a greater impact of AI compared to the West Coast (Sect. 4). More broadly, the influence of AI extends to MSAs in the U.S. that heavily rely on industries susceptible to AI changes, often characterized by the increasing creative class employment or a lack of economic diversification. 2 Related work

• Using AI in economic development: Challenges and opportunities

  For instance, an East Asian city used analytics models to identify untapped areas of economic competitiveness in beverages and auto parts—areas adjacent to where it already held strong capabilities. By focusing on those sectors and taking advantage of its existing talent, infrastructure, and supply chain capacities in related fields, the city increased its GDP per capita by $8,500 in six years. [...] Investment attraction and trade support programs. Many economic development leaders focus on attracting foreign investment and increasing exports. AI can help leaders select companies that may boost local economic development, understand where companies could aim to expand, estimate the outcome of investments, and determine a budget for the government’s efforts to attract businesses. [...] advancements and developments in AI through locations across the globe.

• AI Will Transform the Global Economy. Let's Make Sure It Benefits ...

  Using the index, IMF staff assessed the readiness of 125 countries. The findings reveal that wealthier economies, including advanced and some emerging market economies, tend to be better equipped for AI adoption than low-income countries, though there is considerable variation across countries. Singapore, the United States and Denmark posted the highest scores on the index, based on their strong results in all four categories tracked. Image 10 [...] May 13, 2025 The power-hungry technology requires policies to help expand electricity supplies, incentivize alternative sources, and help contain price surges Image 13 Artificial intelligence A 文 ##### How Artificial Intelligence Can Boost Productivity in Latin America March 20, 2025 Some countries risk missing out on the full economic benefits of AI, but more formal jobs and expanded digital access can help Image 14 Artificial intelligence [...] In emerging markets and low-income countries, by contrast, AI exposure is expected to be 40 percent and 26 percent, respectively. These findings suggest emerging market and developing economies face fewer immediate disruptions from AI. At the same time, many of these countries don’t have the infrastructure or skilled workforces to harness the benefits of AI, raising the risk that over time the technology could worsen inequality among nations. Image 9

• Government AI Readiness Index 2024 - Oxford Insights

  By aligning with global and regional governance efforts, governments can strengthen their readiness, adopt AI responsibly, and collaborate to address the challenges and opportunities AI presents. 2024 Index Rankings ------------------- vs vs Regional Analysis ----------------- North America Western Europe Eastern Europe East Asia Middle East and North Africa Latin America and the Caribbean Pacific South and Central Asia Sub-Saharan Africa Case Studies [...] Government AI Readiness Index - Oxford Insights =============== , South and Central Asia (Sri Lanka, Uzbekistan), and Latin America and the Caribbean (Costa Rica, Cuba). These regions—historically underrepresented in AI strategy work—are signalling a commitment to build the foundational governance frameworks necessary to improve AI readiness. [...] Regional collaboration has also deepened, producing notable progress.In Latin America, the Santiago Declaration set the stage for further action. This year, CAF, UNESCO, and Uruguay’s AGESICbuilt on that momentum with the Montevideo Declaration, strengthening regional cooperation on AI governance. Meanwhile, the African Union presented its continental AI strategy, which aims to harmonise AI policies, foster innovation, and ensure ethical deployment across the region. Similarly, the Islamic