Core Insights - The AI industry is experiencing a dichotomy between the continuous release of application-level imagination and the uncertainties brought by technological iterations, making each entrepreneurial decision critical [1] - The maturity of the industry ecosystem provides a fertile ground for startups, with Beijing's Haidian District's AI core industry scale exceeding 280 billion yuan in 2024, growing at 30% annually, and accounting for 80% of the city's and a quarter of the nation's total [1] - There is a consensus in the industry that it is better to enter early but with precise predictions regarding timing, likening the current moment to the mobile internet turning point of 2011-2012 [1][2] Industry Dynamics - The differentiation of genuine demand is seen as a critical factor for entrepreneurial success, with AI value either creating new experiences or enhancing efficiency [2] - The industry is still in an early stage, similar to the early days of the internet, with expectations for more practical applications to emerge [2] - Four principles proposed for AI development include: algorithms must outperform humans, must exponentially enhance productivity, there must be a significant productivity gap for customers, and industry demand must be sufficiently deep [2] Market Trends - By 2025, AI entrepreneurship is expected to move beyond a focus on technical prowess, with a need to align AI functionalities with real-world scenarios to avoid market obsolescence [2] - The market is likely to witness price wars due to insufficient demand depth, emphasizing the importance of complex scenarios for sustaining technological advantages [2] - The core logic of AI entrepreneurship is becoming clearer, focusing on capturing industry explosion windows while anchoring on genuine demand [2]