Deloitte China's report "Changes in the C-end Application Ecosystem in the AI Big Model Era" deeply explores the four major development trends of AI's impact on C-end applications.
Trend 1: The C-end application ecosystem is being reshaped under the application of AI
big models
The big model in the AI era brings a significant improvement in productivity,
continuously promotes the expansion of application scenarios and innovation of
functional experience, triggers the construction of a new ecosystem, and promotes the
C-end application ecosystem into a new stage of development, and will also inevitably
give birth to a new super user portal.
Trend 2: Demand aggregation entrance, grasp the innovative user value in the AI era
Currently, various AI applications are emerging in an endless stream, and the
development ecology is constantly evolving, staging a fierce battle: at the operating
system level, the model's calling ability brings privacy issues; MaaS (Model as a
Service) and AI development tools bring innovations in business models; it is still
unknown who will win the two battlegrounds of application distribution and application
scheduling; how the terminal form will evolve and where the traffic entrance is, it is
worth our deep thought and expectation.
Trend 3: User entrance positioning strategy gradually emerges
Various manufacturers have made early layouts and positioning. Deloitte has observed
three typical positioning strategies:
Combining their own resource endowments and technology iteration trends to layout the
most innovative AI application types, typical representatives such as chatbots, to
achieve value through extreme efficiency improvement;
Build AI development layer capabilities to support the implementation of AI application
ecology. MaaS is expected to become the underlying business model of cloud manufacturers
in the AI era, enabling the development of AI application ecology;
Accelerate the layout of AI Agent, grasp the user entrance in the AI era, and
influence the user's usage path and decision-making through a high degree of integration
with the C-end application ecology.
Trend 4: Participants in different links of the value chain accelerate their layout
based on their own resource endowments
The realization of C-end application value in the AI era will bring about the
ecological reshaping of the entire industry. From the underlying infrastructure to AI
development to solutions, ecological participants in different links will usher in new
layout opportunities. Deloitte has drawn an AI industry chain ecological map, hoping to
provide market participants with a navigation map for reference.
Deloitte will continue to actively invest in AI research and provide top-level planning
consulting and implementation solutions for enterprises in AI strategic design and
implementation applications. We will accompany our customers and set sail in the AI
era and move forward courageously.
