China's global action plan for artificial intelligence calls for international cooperation to promote AI standards, particularly with the Global South. AI's potential to impact the economy significantly is tempered by the risk of creating a bubble similar to the 1990s internet expansion. High costs, concentration of resources, and limited capacity restrict access to vital AI infrastructure. Companies face steep data transfer fees, creating barriers that hinder competition. Establishing global standards and fostering open exchanges is crucial for AI's growth, similar to the open nature of the internet that accelerated creativity and innovation.
Accessing critical AI infrastructure is hindered by fundamental problems: crushing costs, extreme concentration, and insufficient capacity. A company seeking large-scale compute must often sign long-term contracts with hyperscalers, far beyond the budgetary reach of most academics and startups.
Data transfer fees strangle competition by creating artificial barriers that have nothing to do with technical merits. These costs hinder effective data mobility and limit innovative solutions within the AI landscape.
#artificial-intelligence #global-cooperation #ai-infrastructure #it-standards #economic-impact-of-ai
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