The world is witnessing a great acceleration in artificial intelligence (AI) developments, with major companies entering a clear investment and technology race. Amazon acquired a startup that specializes in AI-powered smart devices to boost its presence in the wearables market. In China, Alibaba launched the open-source Qwen3-Coder, an advanced tool to help developers with coding tasks, while Microsoft announced an AI-powered medical system with high diagnostic accuracy, described as outperforming doctors in certain cases.
On the research side, DeepMind unveiled an AlphaGenome model capable of interpreting the so-called "dark matter" in the human genome, paving the way for improved genetic diagnosis. Google DeepMind also announced a new advancement in robotic AI with Gemini Robotic, which enables robots to operate in non-cloud environments, with an open source version and accompanying security evaluation tests. Google added a new search mode called "AI Mode," which allows users to automatically generate designs and outfits based on their descriptions.
The chip industry is taking a new leap as companies strive to develop more efficient and less power-hungry AI chips, which is necessary to expand the use of AI in everyday devices. In the sports sector, some clubs have started using AI to detect and prevent sports injuries before they occur, while GoBuild has launched customized AI tools to remotely manage construction sites in a flexible, efficient, and scalable manner.
In the coding world, advanced tools such as Qwen 3 Coder, which outperformed GPT-4.1 in code tests, and Google unveiled new tools under the Vibe Coding initiative such as Opal and Jules to facilitate the development of applications using AI. Coinciding with these developments, OpenAI's chairman warned about the enormous costs of training large models, and a warning was published about the safety of user conversations via ChatGPT, stating that the level of security is still insufficient in some cases.
Finally, ethical debates have emerged over the philosophical biases of generative models, and a report from the World Economic Forum revealed that AI is radically reshaping the labor market, with skills such as instructional engineering and data analysis in high demand, requiring individuals and industries to prepare for radical shifts in the work environment.