当AI已成为共识，企业究竟该如何真正“用起来”？

Core Insights - The main challenge for companies in adopting AI is not the technology itself but the speed of decision-making by leaders, with only 1% of companies achieving "mature deployment" of AI despite 92% planning to invest more in it [2][3][32] - AI's integration into businesses requires a transformation in internal capabilities, including strategic choices, organizational collaboration, data and processes, governance, and risk control [4][32] Group 1: AI Infrastructure and Deployment - The future of AI opportunities lies in two layers of infrastructure: AI Infra (computational power) and Agent Infra (intelligent agent infrastructure), which are essential for scaling AI applications [8][9] - Companies need to connect models, computational power, data, tools, and processes to succeed in the AI landscape [9] - AI deployment in enterprises requires building a knowledge base, creating digital employees, and optimizing workflows to fundamentally reshape work processes [13][28] Group 2: AI as a Collaborator - The perception of AI as a collaborator rather than just a tool is crucial for its effective use, as it combines the advantages of both human and programmatic capabilities [14] - Understanding AI's role and capabilities can help organizations leverage its strengths while managing its limitations [14] Group 3: Real-World Applications and Case Studies - Companies like Meitu and DJI exemplify a growth strategy focused on leveraging core technological capabilities rather than merely expanding product lines [15][16] - AI's true value in industries lies in its ability to eliminate uncertainties in production and R&D processes, enhancing efficiency and quality [28] - The shift from general models to specific intelligent agents tailored to business needs is essential for practical AI applications in enterprises [22][24] Group 4: Organizational Capability and Transformation - Successful AI integration requires organizations to develop the ability to manage data and operate intelligent agents, rather than relying solely on AI experts [24][25] - The focus should be on embedding AI into the organizational framework to ensure it becomes a part of the operational capabilities [32][34] - The current period presents an optimal opportunity for companies to transform AI into a growth logic and organizational productivity [35]