Firstly, the article elaborates on the concepts of metaverse and industrial metaverse, pointing out that the metaverse has driven changes and optimizations in multiple dimensions such as urban form, social organization form, and industrial production form; Secondly, the metaverse has empowered urban governance in Guangzhou, improving the efficiency of urban management, enhancing the city's emergency management capabilities, improving the quality of interaction between people and the city, and promoting the construction of a smart city; Once again, the focus was on the practices and good results achieved by Guangzhou in utilizing blockchain technology, digital twin technology, generative artificial intelligence technology, unmanned aerial vehicles+AI and other technologies in urban governance and serving the public; Finally, it is clarified that metaverse related technologies will promote the integration of carbon based civilization and silicon-based civilization in urban and social governance. Humans can use silicon-based civilization technology to expand their living space and improve their quality of life, while silicon-based civilization can also draw inspiration from the culture and emotions of carbon based life, achieving more comprehensive development.

Based on the panel data of listed manufacturing companies in China from 2010 to 2019, the artificial intelligence (AI) index is constructed using the industrial robot data provided by the International Federation of Robotics, and the two-way fixed effect model is used to test the impact of AI on the total factor productivity (TFP) of enterprises. The results show that AI significantly improves the TFP of manufacturing enterprises, and this conclusion remains valid after robustness tests and endogeneity processing. AI promotes TFP by improving the level of human capital and technological innovation, and management and operational levels positively regulate the promotional effect of AI on the TFP of enterprises. Compared with manufacturing enterprises in the central and western regions, AI boosts the TFP of those in the eastern region; compared with non-state-owned enterprises, AI boosts the TFP of state-owned enterprises; and AI significantly boosts the TFP of high-tech and non-high-tech enterprises.

The increasing awareness and adoption of technology, particularly artificial intelligence, are reshaping industries and daily life. This study explores how adopting artificial intelligence (AoAI) influences stock price crash risk for Chinese A-share listed companies between 2010 and 2020. The primary findings emphasize AoAI's significant role in reducing stock price crash likelihood, enhancing financial market performance, and mitigating manager opportunism. Further, the research identifies varied effects of AoAI on crash risk among different enterprise types, notably benefiting non-state-owned and non-foreign businesses. Additionally, the study finding supports the notion that financial analysts enhance transparency, reducing the risk of stock price crashes. These results underscore the Chinese government's role in shaping the digital economy. Overall, the study's findings remain consistent and robust across statistical methods like 2SLS, PSM, SysGMM, and instrumental variable analysis.

We examine the rise of cloud computing and AI in China and its impact on industry dynamics. We find that industries that depend more on cloud infrastructure experience a higher increase in firm entry and exit after cloud computing expands in China. The positive relation with firm exit is driven by the increased exit through business failure and adjustments. We also compare cloud computing to artificial intelligence (AI) and show a differential effect of these technologies on exit. For AI, larger incumbents are less likely to exit. M&A is also more likely for cloud computing but not for AI. Concentration decreases post-cloud computing expansion but increases post-AI. These findings point to changes in competition from new technologies but with differential effects based on which types of firms are likely to adopt new technologies.

Large technology firms have substantial advantages in data, a key non-rival input for developing AI technology. We argue that investments by large technology firms stimulate innovation by AI startups through the sharing of data, bringing more than money to the startups. We assemble a unique dataset containing (nearly) the universe of AI-inventing firms in China to examine the innovation effects of these investments. Our difference-in-differences estimation shows that, after receiving investments from large technology firms, AI startups increase the number of AI patent applications by 62% and the number of software products by 56%, relative to their mean values prior to the investments. Using a triple-differences strategy, we further find that the innovation impact of investments by large technology firms is stronger than that of investments by other firms without data advantages. We confirm these findings using an instrumental variables approach based on recent investments by large technology firms in peer startups. Finally, we provide novel evidence that the innovation effect works mainly through sharing non-rival data by leveraging our rich information on non-AI data-related patent applications and data-related online job postings.

Audit digitalization is the organic integration of digital technology and audit work; Internal audit digital intelligence is a collective term for internal audit digitalization and internal audit intelligence. This paper systematically expounds that the digital transformation of audit is conducive to achieving internal audit goals, giving full play to the internal audit function, and improving the efficiency of internal audit. The main paths and key points of the digital transformation of enterprise audit are introduced, and it is pointed out that intelligent audit is a major trend in the future development of auditing. The three types of intelligent audit and the application of digital twin in commercial bank audit are introduced. A brief introduction to Bank of Jiangsu's research-based audit and its achievements. It is pointed out that the digital transformation of audit is also the upgrading and transformation of organizations and talents, and it is necessary to vigorously cultivate and introduce audit professionals to support the smooth achievement of digital transformation of auditing.

The improvement of production efficiency and the change of business model brought about by the deep integration of the digital economy and the real economy have become an important driving force for industrial transformation and upgrading. This paper explains the necessity of digital transformation of manufacturing, the trends, paths and six technologies of financial digital transformation. In the digital era, relying on data, scenarios, and algorithms to explore the essential logic of business, make predictions and decisions based on business insights, and put forward higher requirements for financial empowerment business. As an important way for enterprise management transformation and upgrading, the core goal of financial digital transformation is to take "data-driven" as the main line, promote transformation based on the two principles of industry-finance integration and in-depth scenarios, and build "value-creating" finance, that is, based on the integrated application of digital technology, so that finance can expand the functions of supporting strategy, assisting decision-making, empowering business, preventing and controlling risks, lean management, operational excellence, quality and efficiency, compliance supervision and other functions on the basis of basic transaction accounting functions, and promote and even lead the value creation functions of enterprises. The article points out that the manufacturing industry should take enhancing competitiveness as the direction, financial management as the center, and improving quality and efficiency as the goal to accelerate digital transformation. Introduced Midea Group's financial digital transformation practices and results. It is proposed that enterprises should vigorously promote the deep integration of big data, Internet, cloud computing, Internet of Things, artificial intelligence, blockchain and the real economy, accelerate the digital transformation of finance, and inject new impetus into the high-quality development of enterprises.

The improvement of production efficiency and changes in business models brought about by the deep integration of the digital economy and the real economy have become an important driving force for industrial transformation and upgrading. This paper expounds the necessity of digital transformation of manufacturing industry and its path selection. The important role of industrial Internet and Internet platforms is pointed out, and the characteristics of industrial Internet platforms such as Midea Group and Siemens MindSphere and their effects on industrial transformation are analyzed. Enterprises should vigorously promote the deep integration of big data, the Internet, cloud computing, the Internet of Things, artificial intelligence, blockchain and the real economy, accelerate the digital transformation of the manufacturing industry, and inject new impetus into the high-quality development of the manufacturing industry.

Establishing a comprehensive risk management system and establishing a sound and effective internal control mechanism are important conditions for the survival and healthy development of financial enterprises. This paper analyzes the lessons of Société Générale's financial shock in Europe in 2008 due to the serious lack of internal control mechanism; Elaborated on the influencing factors and implementation paths of internal control in the digital intelligence era, pointed out the key points of constructing an internal control system under risk management in the digital intelligence era, and proposed the main methods and six major technologies of internal control in the digital intelligence era; This paper expounds that the audit Digital transformation is conducive to the realization of internal audit objectives and the improvement of internal audit efficiency. This paper introduces the main paths and key points of audit Digital transformation, and points out that intelligent audit is the major trend of future audit development; Introduced the application of digital twins in commercial bank auditing. It points out that the Digital transformation of audit is also the upgrading and transformation of organizations and talents, and it needs to vigorously cultivate and introduce audit professionals to support the smooth completion of the Digital transformation of audit. Financial enterprises should continue to innovate their internal control mechanisms, continuously improve and strengthen their internal control and risk management functions, continuously improve the effectiveness of internal control, and assist in the high-quality development of enterprises.