Hu Xiu·2026-01-19 09:51Group 1 - The core viewpoint of the article highlights the volatility and speculative nature of AI application stocks, particularly the "new Yizhongtian" combination, which has seen significant price fluctuations in early 2026 [1][12] - AI applications are perceived to be in a transformative phase comparable to the internet, with substantial opportunities, but they still face challenges in achieving practical implementation [2][6] - The market sentiment is driving the valuation of AI application companies, with many lacking solid performance metrics to support their stock prices [12][13] Group 2 - The AI application sector is entering a phase of diverse development, with significant capital inflow, indicating a high level of market interest [8] - The global GEO market is projected to reach $24 billion in 2026 and potentially $100 billion by 2030, reflecting the growing importance of AI in consumer decision-making [10] - Major internet companies like Alibaba and Tencent are leading the charge in AI applications, leveraging their existing ecosystems to capture market share [17][18] Group 3 - The article discusses the competitive landscape, noting that smaller firms struggle to compete against large tech companies that dominate user engagement and data resources [16][17] - There is a focus on the potential for revenue generation from AI applications, with companies expected to undergo valuation reassessments once they start reporting income from these initiatives [22][23] - Historical data suggests that as companies transition to AI-driven revenue models, their market valuations may significantly increase, similar to trends observed during the shift to cloud computing [23][24]