AI obsolescence refers to the process by which artificial intelligence technologies, systems, or models become outdated, ineffective, or no longer relevant due to advancements in technology, changes in societal needs, or the emergence of new methodologies. This can occur when newer AI models are developed that outperform older ones, when software or hardware requirements evolve, or when the application domain shifts in a way that diminishes the utility of existing AI solutions. AI obsolescence highlights the need for continual updating, retraining, and adaptation of AI systems to maintain their relevance and effectiveness in an ever-changing technological landscape.
Europe is currently lagging behind the U.S. and China in AI development and productivity. To regain competitiveness, Europe must prioritize AI education across various industries. Significant venture capital investment is…