借CES开幕展望2026年科技趋势

Core Viewpoint - The article discusses the upcoming trends in the technology industry, particularly focusing on the application of generative AI and the emergence of new devices in the "post-smartphone" era, as showcased at the CES 2026 event [4][5]. Group 1: Generative AI and New Devices - Generative AI is expected to be practically applied in consumer devices and society by 2026, with concerns about over-investment in this technology [5]. - OpenAI plans to release an "AI terminal" in 2026, which will operate solely through voice commands without a display [7]. - Meta is developing AI-powered glasses that allow users to see the real world while displaying digital images [7]. Group 2: Market Trends and Competition - Apple is set to launch its first foldable iPhone in 2026, with IDC predicting a 30% growth in the global market for foldable smartphones compared to 2025 [9]. - By 2029, foldable smartphones are expected to account for 10% of the overall smartphone market [9]. - The competition in the AI and smartphone sectors is intensifying, with companies like Google and South Korean manufacturers leading in trends related to AI smartphones and foldable devices [9]. Group 3: Physical AI and Automation - Physical AI, which involves autonomous control of robots and machinery, is anticipated to be a major focus at CES, with Nvidia's CEO highlighting it as the next wave of technology [11]. - The market for physical AI is projected to reach $68.5 billion by 2034, increasing 13 times from 2025 [13]. - Automation in both industrial and household sectors is becoming essential due to labor shortages and demographic changes [14]. Group 4: Future of AI Development - There are predictions that "General AI" (AGI) could be achieved by 2026, but concerns about the current plateau in generative AI development are also noted [16]. - OpenAI and Meta are expected to release upgraded AI models in early 2024, amidst increasing competition from Chinese companies developing independent AI supply chains [18]. - The article emphasizes the need for ethical governance of AI as its societal impacts become more pronounced [19].