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|  Message 2296  |
|  Mike Powell to All  |
|  OpenAI highlights uneven  |
|  26 Jan 26 09:49:21  |
 TZUTC: -0500 MSGID: 2054.consprcy@1:2320/105 2ddcbcf7 PID: Synchronet 3.21a-Linux master/123f2d28a Jul 12 2025 GCC 12.2.0 TID: SBBSecho 3.28-Linux master/123f2d28a Jul 12 2025 GCC 12.2.0 BBSID: CAPCITY2 CHRS: ASCII 1 FORMAT: flowed 'Put plainly...some countries are already using AI to solve harder problems and move faster': OpenAI wants to make AI usage more equal between countries - but will it actually work? Date: Sun, 25 Jan 2026 21:20:00 +0000 Description: OpenAI highlights uneven AI adoption across countries and launches Education for Countries to improve skills, access, and workforce readiness globally. FULL STORY Artificial intelligence systems are improving quickly, yet adoption across countries remains uneven, new research has claimed. The findings from OpenAI argue a growing capability overhang exists between what current AI systems can do and how much of that capability is actually used by people, companies, and governments. The company warns this gap risks allowing a small group of countries to move faster economically and technologically, while others struggle to keep pace. Evidence of uneven adoption across countries OpenAI frames this as a problem of usage rather than access, suggesting that uneven skills, infrastructure, and institutional readiness matter as much as model availability. Data cited by OpenAI indicates that advanced usage differs sharply between users and countries. Power users depend on stronger reasoning skills, using AI tools for complicated, multi-step tasks instead of single-step prompts. Country-level differences show similar variation, with some nations using far more advanced capabilities per person than others. OpenAI notes that this gap does not align neatly with income levels, because some countries with lower income levels are using advanced AI tools more than some wealthier countries. OpenAIs response to this gap is its Education for Countries program, which aims to integrate AI into national education systems. The initiative focuses on building AI skills among students while providing educators with training and tools to guide responsible use, with early partners include countries across Europe, the Middle East, Central Asia, and the Caribbean. OpenAI describes the program as a way to treat AI as essential education infrastructure and will support research while expanding access to advanced systems. OpenAI links education efforts to broader national strategies that include workplace adoption, infrastructure development, and workforce training. The company argues productivity gains depend on scaling enterprise use and improving institutional fluency with AI systems. New initiatives announced alongside the World Economic Forum extend this approach into areas such as health, disaster preparedness, cybersecurity, and start-up support. These programs are described as flexible frameworks shaped through discussions with partner governments rather than standardized deployments. In its own framing, OpenAI positions adoption, skills, and infrastructure as necessary complements to advancing model capability. The companys interpretation is that early action could allow more countries to translate AI progress into tangible economic benefits. It remains uncertain whether partnerships and wider AI access can reduce structural differences, given varying governance, funding, and policy execution. ====================================================================== Link to news story: https://www.techradar.com/pro/put-plainly-some-countries-are-already-using-ai- to-solve-harder-problems-and-move-faster-openai-wants-to-make-ai-usage-more-eq ual-between-countries-but-will-it-actually-work $$ --- SBBSecho 3.28-Linux * Origin: Capitol City Online (1:2320/105) SEEN-BY: 105/81 106/201 128/187 129/14 305 153/7715 154/110 218/700 SEEN-BY: 226/30 227/114 229/110 134 206 300 307 317 400 426 428 470 SEEN-BY: 229/664 700 705 266/512 291/111 320/219 322/757 342/200 396/45 SEEN-BY: 460/58 633/280 712/848 902/26 2320/0 105 304 3634/12 5075/35 PATH: 2320/105 229/426 |
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