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.
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.
The traditional FAANG combination is being replaced by MANGOS (Meta, Anthropic, Nvidia, Google, OpenAI, SpaceX). IPOs of AI and space companies will redefine the growth engines and business models of the digital economy.
This week's five major events in fintech — Blackcat restructures BaaS, Revolut promotes 'Made in Europe' talent, Visa deepens AI payments, Crossmint launches agent card payment API, Wells Fargo executives discuss AI's impact on employment — collectively reveal the profound impact of the integration of digital payments and AI on business models and competitive landscape.
Based on Thomson Reuters’ analysis of AI tax compliance strategies, this article discusses from the perspective of the digital economy how generative AI is changing tax research, compliance processes, professional services business models, and regulatory logic, and explains why “trustworthy AI” is becoming a new threshold for competition among platforms in high-risk industries.