{"id":3667,"date":"2025-10-14T20:38:57","date_gmt":"2025-10-14T20:38:57","guid":{"rendered":"https:\/\/www.webairy.com\/blog\/?p=3667"},"modified":"2026-03-11T13:03:27","modified_gmt":"2026-03-11T08:03:27","slug":"ai-native-societies-explained-sam-altmans-vision-unveiled-at-gitex-global-2025","status":"publish","type":"post","link":"https:\/\/www.webairy.com\/blog\/ai-native-societies-explained-sam-altmans-vision-unveiled-at-gitex-global-2025\/","title":{"rendered":"AI-Native Societies Explained: Sam Altman\u2019s Vision Unveiled at GITEX Global 2025"},"content":{"rendered":"\r\n

Introduction<\/h3>\r\n\r\n\r\n\r\n

At GITEX Global 2025 in Dubai, one of the most significant moments came when Sam Altman<\/strong>, CEO of OpenAI, joined a virtual conversation with Peng Xiao<\/strong>, Group CEO of G42. Their discussion, titled \u201cFrom Early Adoption to AI-Native Societies: Envisioning the Next Era of Intelligence\u201d<\/em>, spotlighted how nations must build new structural foundations\u2014both physical and policy-oriented\u2014to support societies where AI is as embedded in daily life as electricity or roads.<\/p>\r\n\r\n\r\n\r\n

Below are key takeaways from Altman\u2019s remarks and the broader implications for AI-native societies.<\/p>\r\n\r\n\r\n\r\n

Key Insights from Altman & G42<\/h3>\r\n

Intelligence as Infrastructure & Access
<\/strong><\/h4>\r\n

Altman emphasized that the emerging divide in AI won\u2019t be about algorithms or raw capability, but about access. He stated: \u201cThe best way to avoid an AI divide is to make intelligence \u2018abundant and cheap\u2019 \u2026 to make it available everywhere, to teach people how to use it, and to make it accessible to all.\u201d
<\/span>The idea is that intelligence (AI services, models, tools) should be considered a super-utility\u2014something foundational, like power or roads. Peng Xiao called this infrastructure \u201cthe intelligence grid.\u201d<\/span><\/p>\r\n

AI + Energy & Compute Convergence<\/h4>\r\n

Altman and Peng argued the cost of intelligence will increasingly align with the cost of energy and compute infrastructure. As AI scales, nations will be judged not just by their models but by their ability to host and power them.
<\/span>Altman predicted a future where AI systems build infrastructure themselves (robots constructing robots, data centres replicating \/ scaling), pointing to a \u201cnew industrial phase\u201d of automation. <\/span><\/h3>\r\n

National AI Strategies as Essential<\/h4>\r\n

Altman said every country \u201cis going to need to have an AI strategy.\u201d He praised the UAE\u2019s approach as a model for the rest of the world. This includes not only investment in AI but building regulatory, governance, and infrastructural systems to support sovereign and inclusive AI ecosystems. <\/span><\/h3>\r\n

AI in Everyday Life & Culture Shift<\/h4>\r\n

AI is shifting from novelty to necessity. Altman said that over the past couple of years, people have started to <\/span>depend on AI<\/strong> for productivity and workflows, and that what seemed futuristic is now part of daily life.
<\/span>Tangible examples: Peng Xiao shared how ChatGPT was used 500 times in prompts to design part of Sheikh Tahnoon\u2019s home in Abu Dhabi. Also that in Sheikh Tahnoon\u2019s office there is a high ratio of AI agents vs human staff. These reflect that AI isn\u2019t just for labs\u2014it\u2019s being operationalized in personal, administrative, architectural contexts. <\/span><\/h3>\r\n\r\n\r\n\r\n

Implications & Structural Requirements<\/h4>\r\n\r\n\r\n\r\n

Based on Altman\u2019s comments and observations from GITEX, several structural foundations are emerging as essential for AI-native societies:<\/p>\r\n\r\n\r\n\r\n

\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Requirement<\/th>\r\nWhat It Means in Practice<\/th>\r\n<\/tr>\r\n<\/thead>\r\n
Compute & Infrastructure Scale<\/strong><\/td>\r\nDeveloping large data centres, hybrid energy solutions (solar, nuclear, gas), building \u201cAI campuses\u201d like UAE\u2019s Stargate in partnership with OpenAI, G42, Nvidia etc.<\/td>\r\n<\/tr>\r\n
Governance & Policy Frameworks<\/strong><\/td>\r\nRegulatory oversight for data privacy, sovereignty, standardization. Ensuring model transparency, trust, safety. Each nation needs frameworks to support this.<\/td>\r\n<\/tr>\r\n
Access & Education<\/strong><\/td>\r\nDemocratizing access: tools, platforms, investment in skills. Ensuring AI isn\u2019t just in big cities or governments. Inclusion so that smaller economies, remote regions can partake.<\/td>\r\n<\/tr>\r\n
Energy & Sustainability<\/strong><\/td>\r\nBecause AI compute requires power, cooling, and energy resources, sustainability and cost control are vital. Intelligence cannot scale if infrastructure is power-starved or prohibitively expensive.<\/td>\r\n<\/tr>\r\n
Cultural and Institutional Integration<\/strong><\/td>\r\nEmbedding AI in public services, architecture, governance, business operations, education. AI also influencing how people work, what tasks are automated, etc.<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/figure>\r\n\r\n\r\n\r\n

Challenges & Caveats<\/h3>\r\n\r\n\r\n\r\n