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6 Questions to Understand the Business Trends of AI

The AI industry has entered its "summer" phase, according to a six-dimensional scoring framework assessing its development cycle. Each dimension—narrative vs. delivery, system connectivity, delivery capability, ROI rationalization, common industry trends, and capital environment—scores 1 point, totaling 6 points. This places the industry firmly in summer (5-7 points), characterized by a coexistence of grand promises and tangible deliverables, with increasing pressure to demonstrate value and profitability. Key signals mark this shift. ByteDance's Doubao launched paid subscriptions, while OpenAI introduced an advertising platform. These moves are driven by dual forces: immense cost pressures from scaling user bases and massive compute requirements, and the maturation of commercial opportunities. Major players like Anthropic report explosive growth, highlighting AI's transition into core productivity infrastructure. For businesses, the path forward involves three strategic steps. First, identify a small, high-impact use case to quickly demonstrate a closed-loop value proposition, such as automating customer service or content generation. Second, systematically replicate successful pilots across the organization by standardizing processes, building shared AI capabilities, and aligning talent, incentives, and leadership. Finally, move beyond simply adding AI to existing workflows and undertake systemic reconstruction—redesigning processes for parallel AI-human collaboration, implementing real-time dashboards, and establishing automated trigger chains. The era where storytelling alone secured funding is over. The focus has shifted to delivering measurable efficiency gains, cost savings, and new revenue streams, as evidenced by real-world implementations in companies like Semir, Anta, and Midea. Success now depends on starting with a focused proof point, scaling it organization-wide, and ultimately allowing AI to redefine operational paradigms.

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