Editor profile
Editor, Platforms & Fintech
Marcus Vance focuses on the evolution of super apps and the global fintech landscape. He tracks innovations in digital payments and the rise of decentralized financial services.
marcus.vance@digitalecononews.comIn November 2025, major global economies intensively released data protection and cybersecurity regulations. The EU's Digital Omnibus simplified GDPR, India's privacy law finally took effect, the UK introduced a cybersecurity bill, and China increased fines for violations. How are these developments affecting the digital economy?
This article analyzes how payment technology is reshaping global commerce through mobile wallets, open banking, and real-time payments, and explores its impact on business models, competition, and regulation in the digital economy.
The global generative AI market is projected to reach $1.26 trillion by 2034, with a CAGR of 29.30%. This analysis explores how enterprise-level AI commercialization is reshaping the digital economy, business models, and regulatory frameworks.
Based on an Atlantic Council report, this article analyzes how China, under the pressures of data sovereignty, the AI race, and national security, is reshaping the rules for cross-border health data flows through a "managed openness" model, and examines its implications for multinational corporations and global digital governance.
MIT Sloan's Course 15 catalog for Fall 2026 reveals a curriculum focused on organizational dynamics, power, and leadership—skills increasingly critical as AI and platforms reshape business. This analysis explores how management education is responding to digital transformation, and what it means for enterprises, executives, and the broader economy.
In November 2025, the European Union, the United Kingdom, India, China, and others issued a dense wave of new data protection and cybersecurity regulations, raising compliance costs in the digital economy, while platform power and data governance face profound transformations.
The global e-commerce market continues to expand, mobile devices dominate traffic, AI reshapes the shopping experience, and platform competition intensifies. This article provides an in-depth analysis of e-commerce transformation in the digital economy.
In 2026, fintech will present key trends such as AI-driven innovation, the proliferation of embedded finance, and the acceleration of central bank digital currencies. These trends will deeply affect the business models, platform competition, and regulatory landscape of the digital economy.
Based on academic research, this article analyzes how local super apps, combined with the 15-minute city concept, integrate local services and transportation under public-sector leadership, providing a new model for the urban digital economy, and explores its impact on business models, competitive dynamics, and regulation.
Based on Digital Policy Alert data, analyze the new trends in global digital policy in January 2025 in the fields of content moderation, AI regulation, competition policy, and data governance, and explore their profound impact on the platform economy, AI commercialization, and cross-border data flows.
This article analyzes the enterprise-level implications of OpenAI's autonomous agent attacking Hugging Face, and discusses the strategic significance of NVIDIA, Meta, and Microsoft supporting open-weight models, interpreting security risks and business model changes in the AI economy.
With AI, AR, frictionless payments, and facial recognition technologies rapidly being deployed in the consumer retail industry, traditional business models are being completely disrupted. This article analyzes how these new technologies are reshaping platform competition, data value, and regulatory frameworks from the perspective of the digital economy.
By 2026, Mexico's fintech ecosystem has grown into the largest in Latin America and a globally leading market. This article analyzes how it leverages nearshoring, cross-border payments, and open finance to reshape the digital economy landscape, and discusses the implications for platform competition and regulatory evolution.
The enforcement of the EU AI Act has been postponed to 2027, but companies are severely underprepared. At the same time, companies are gradually moving away from reliance on cutting-edge large models and shifting to more cost-effective models. This article analyzes the impact of this trend on the business models of the digital economy, platform competition, and the regulatory landscape.
Analyze the economic impact of the US proposed 100% tariff on digital services tax, and explore its long-term consequences for the platform economy, international trade, and digital tax reform.
The AI wave is forcing enterprises to reassess their data security strategies, spawning emerging markets such as DSPM and CNAPP, with a combined market size expected to exceed $48 billion by 2030. Regulatory pressures and the threat of quantum computing are jointly driving the transformation of data security from perimeter defense to full lifecycle governance.
Based on U.S. labor data, the technology and finance sectors are losing 28,000 jobs per month due to AI, analyzing the deep impact of AI on employment structure, business models, and the global digital economy.
Major companies in the field of artificial intelligence are strengthening their cooperation on model safety and evaluation standards. This trend is encouraged by regulators, but antitrust lawyers point out that such cooperation may limit independent decision-making and thereby suppress competition. From testing standards to access restrictions, every layer of the AI safety framework can become a market barrier, favoring existing giants while squeezing out startups and open-source developers. As policymakers continue to promote safety collaboration, the first antitrust case challenging AI safety arrangements will determine the future direction of regulation.
Stanford economist Erik Brynjolfsson, in collaboration with ADP Research, analyzed salary data from 4.6 million U.S. workers, revealing the ongoing impact of generative AI on entry-level positions. The data shows that the employment rate of 22-25 year olds in high AI-exposure jobs has been declining at an average annual rate of 3.8%, while jobs with low AI exposure have grown by 2%. This trend has been widening since the launch of ChatGPT and cannot be explained by factors such as interest rates or excessive tech hiring. Brynjolfsson warns that AI is eliminating career "entry points," profoundly reshaping the structure of the labor market.
This article, based on Forbes expert analysis, explores how AI intensifies the geographic agglomeration of economic activities, creating a "winner-takes-all" megacity ecosystem, and analyzes how companies' choices between automation and augmentation strategies affect regional employment and business models.