Adobe: Slow Progress in AI Development, Longer Timeframe for Future Profits


The Guangdong network information department, in collaboration with relevant units, promotes the innovation and standardized application of generative AI services, and conducts registration work based on the Interim Measures for the Administration of Generative AI Services. As of May 11, 2026, six new registered services have been added, bringing the total to 53, including enterprises such as Tencent Music and Gree Electric Appliances, to strengthen service management.
Fuyao University of Science and Technology will add five new undergraduate majors in 2026: Future Robotics, Artificial Intelligence, Intelligent Vehicle Engineering, Biological Sciences, and Digital Economy, aiming to adapt to technological development and cultivate innovative practical talents. Among them, the Future Robotics major is the first cross-disciplinary program, which has attracted great attention. Previously, the university had already been approved for four undergraduate majors in 2025.
China Mobile launched the '1+3+9' multi-ecosystem intelligent service system at the AI-eSIM forum during the Mobile Cloud Conference, with the theme 'AI-eSIM: Pioneering a New Era'. The system aims to provide more secure, low-cost, and flexible intelligent connectivity and AI services. Deputy General Manager Chen Huida stated that this move responds to the country's 'Artificial Intelligence+' strategy, using AI-eSIM to build a multi-ecosystem service model, promoting intelligent upgrades for To-end users.
A Microsoft report from 2026 shows that 17.8% of the working-age population globally uses generative AI, but the gap between developed and developing countries has widened. In developed countries, 27.5% of people aged 15-64 use the tool, compared to only 15.4% in developing countries, with the gap increasing by 1.5 percentage points since the second half of 2025. The main reasons are differences in internet access, digital skills, and electricity availability.
OpenAI CEO Greg Brockman revealed that the company plans to invest up to 50 billion dollars before 2026 to enhance computing resources, in response to the surge in demand for computing power for training and inference of large AI models. This investment has grown thousands of times compared to around 30 million dollars in 2017, marking the transition of generative AI from experimental stages to large-scale commercialization.