Tokens are the small units of text that AI models read and process; the building blocks of every request, question, or command we give to AI. In 2026, these tokens have become the invisible infrastructure of the AI economy. Whether autonomous agents like OpenClaw or large language models (LLMs) like ChatGPT, tokens are what AI ultimately runs on. For developers, they’re not just a pricing unit, but a proxy for capability: how well a model understands, remembers, and performs.

In recent weeks, the open‑source, self-hosted AI agent OpenClaw has created huge waves in China, with users around the country racing to install it on their laptops and figure how to turn its exceptional task-executing abilities into increased efficiency at work.

At the beginning of 2026, Elon Musk captured global attention in a three-hour conversation with Peter Diamandis and Dave Blundin on the Moonshots podcast, where he laid out an ambitious vision of humanity’s future. How credible are these seemingly far-fetched predictions, and what do they mean for ordinary people?

In October 2025, Walmart announced a landmark partnership with OpenAI to bring shopping directly into ChatGPT. Through a new Instant Checkout feature, Walmart customers can browse, select, and complete purchases entirely within the ChatGPT interface, with Walmart managing fulfilment.

At the CEIBS Annual Forum 2025, recently held on the CEIBS Shanghai campus, 2013 Nobel Laureate in Chemistry and member of the American National Academy of Sciences Michael Levitt shared wide-ranging perspectives on evolutionary biology, the creativity of youth, artificial intelligence, and personal development, in a keynote speech entitled “How Should Humanity Navigate the Era of Great Intelligence?

At the recent CEIBS EMBA 30th Anniversary Celebration, Kevin Kelly, the Founding Executive Editor of WIRED and author of "2049: Possibilities of the Next 10,000 Days", delivered a keynote speech, painting a picture of a future in which humans live alongside AI.

Artificial intelligence has become the defining force in today’s financial markets — powering innovation, reshaping industries, and driving valuations. But are the soaring valuations justified, or are we entering an AI-fueled bubble? In this article, CEIBS professors Mattia Landoni and Wang Renxuan explore what's driving current market behaviour and how investors and policymakers should prepare.

Alibaba’s recent sharp share-price rise turned heads for a simple reason: the company is changing what it is. On the surface, the rebound rides on better momentum in on-demand delivery, instant retail, and cloud services. At a deeper level, it shows Alibaba moving from “a giant online mall” to a tech backbone that powers other businesses, with cloud technology, data, and artificial intelligence at the center.

This report primarily focuses on the development of the AI industry both globally and in China, analysing its current state, the market landscape, and international expansion. It aims to assist the market in understanding and identifying development trends and opportunities within the AI industry, covering the overall AI industry landscape and the current state of AI development.

In this article, CEIBS President Wang Hong shares insights and research on AI’s effects on management education, and highlights CEIBS’ determination and concrete actions in keeping pace with this unstoppable new technological wave.

On January 27, Chinese AI startup DeepSeek burst onto the global scene, dominating media coverage and sparking intense discussions across the AI innovation community.

From AlphaGo to AlphaFold3, AI technology has evolved through a series of challenges to exert a profound impact on society, scientific research, and business today.

ChatGPT has recently sparked a global craze and brought AI generated content (AIGC) into the spotlight.

AI has promised so much since its inception. In terms of boosting productivity, however, it has to date not delivered on its promise. In fact, like so many world-changing technologies before it, AI has actually slowed productivity growth during its period of infancy, rather than meaningfully boosting it. So, why is it not living up to even the more modest expectations set by its proponents? The answer doesn’t lie in realm of technical limitations. Instead, we’re simply not using it to its full potential.

What are the investment opportunities available in the sphere of smart manufacturing? Should you be investing in AI? How have falling wage prices and work habits of the post-90s generation impacted robotics? Answers from a leading executive at a VC firm that handles about RMB10 billion in assets.