Li Wei, General Manager of the Financial Industry at DingTalk, stated that in the future intelligent era, enterprise organizations will be composed of people, machines, and AI productivity, forming a hybrid intelligence of humans and AI. He believes the traditional model of "AI assisting humans" struggles to break through productivity bottlenecks. In contrast, DingTalk is promoting an innovative "humans assisting AI" model, which segments production lines based on the specialized domains and skills of intelligent agents, potentially achieving a fivefold increase in productivity.
Li Wei pointed out that Alibaba announced last year its plan to invest 380 billion yuan focused on AI development over the coming years, with DingTalk being a crucial component. He drew an analogy to the Industrial Revolution, noting that technologies like the steam engine and internal combustion engine replaced human physical labor and gave rise to modern corporate structures. Currently, machines possess the capability to replace mental labor, which will trigger an intelligence revolution and profoundly alter enterprise organizational forms and social divisions of labor.
Li Wei emphasized that DingTalk's core focus is on how to truly transform AI intelligence into enterprise productivity. This involves shifting from fragmented, plugin-based services to concentrating on solving actual business problems, ensuring AI productivity is deeply integrated into business scenarios, and addressing key issues such as ROI, accuracy, and authority boundaries.
Regarding future enterprise organizational forms, Li Wei proposed that organizations in the intelligent era will be jointly constituted by people, machines, and AI productivity, forming a hybrid human-AI intelligence. He argued that the traditional "AI-assisted human" model finds it difficult to overcome productivity ceilings; for instance, a 100-person company still only has 4,000 effective working hours per week even if each employee is equipped with a digital assistant. DingTalk is advancing a model innovation of "human-assisted AI," where production lines are segmented according to the professional domains and skills of intelligent agents, enabling a multiplication of capacity and, theoretically, a fivefold increase in productivity.
Using financial institutions as an example, Li Wei revealed that over the past two years, 80% of positions in the financial industry remain traditional roles, with 60% of personnel time devoted to repetitive, simple tasks such as teller account opening, small insurance policy reviews, and loan document filling. He predicts that over 40% of such work will be entirely replaced by AI in the future, and more than half of skill-based scenarios can achieve a doubling of efficiency with AI assistance. Against this backdrop, enterprises need to reconstruct their office infrastructure, and work methods from frontline employees to decision-makers require comprehensive transformation to fully leverage AI productivity.
Li Wei stressed that traditional office platforms only serve people and processes; they cannot be operated or perceived by AI, thus becoming obstacles to productivity enhancement. The key to AI reshaping organizational capability lies in building a system infrastructure that serves highly coordinated collaboration between humans and AI. AI has continuously entered production processes, effectively lowering the barrier to work and improving efficiency and quality. DingTalk has completed its own revolution, rapidly restructuring its product system over the past nine months. It will continue to build core products and infrastructure with native AI capabilities, serving thousands of industries, helping enterprises bridge the AI gap, and constructing core competitiveness after organizational transformation.
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