The emergence of Large Language Models has fundamentally transformed the capabilities of AI agents, enabling a new class of autonomous agents capable of interacting with their environment through dynamic code generation and execution. These agents possess the theoretical capacity to operate as independent economic actors within digital markets, offering unprecedented potential for value creation through their distinct advantages in operational continuity, perfect replication, and distributed learning capabilities. However, contemporary digital infrastructure, architected primarily for human interaction, presents significant barriers to their participation. This work presents a systematic analysis of the infrastructure requirements necessary for AI agents to function as autonomous participants in digital markets. We examine four key areas - identity and authorization, service discovery, interfaces, and payment systems - to show how existing infrastructure actively impedes agent participation. We argue that addressing these infrastructure challenges represents more than a technical imperative; it constitutes a fundamental step toward enabling new forms of economic organization. Much as traditional markets enable human intelligence to coordinate complex activities beyond individual capability, markets incorporating AI agents could dramatically enhance economic efficiency through continuous operation, perfect information sharing, and rapid adaptation to changing conditions. The infrastructure challenges identified in this work represent key barriers to realizing this potential.

"The global Artificial Intelligence market is a capital-intensive, energy-consuming, and vital industry for many economies across the world. This comprehensive report on the global Artificial Intelligence market aims to provide a general overview of the Artificial Intelligence industry by presenting extensive research about the market, exhibiting important market aspects, and suggesting future growth directions based on the market study. The report critically analyzes the market forces that affect the pricing structure and production in the market. To examine these forces two perspectives are used namely Porter's Five Forces Analysis and institutional economics framework. Porter's Five Forces Analysis examines the competitive forces that drive the global Artificial Intelligence market economy and institutional economics framework role of the governments and regulatory policies in influencing the infrastructural development, production, and distribution channels of the global Artificial Intelligence market.

On my first work trip to Jakarta 14 January 2016 for Grab, multiple terrorist bombs exploded a couple of miles from the GrabBike office where I had just arrived. People were fleeing cafes and restaurants around the attack site. My new colleagues were shaken, glad to be safe, looking to help. There was news of crowds on the streets trying to get away, confirmed by a spike in booking requests from the blocks around the explosion. My colleagues remembered the 2002 Bali bombings, and knew we should get people to spread out.

New breakthroughs in AI make the headlines everyday. Far from the buzz of customer-facing businesses, the wide adoption and powerful applications of Machine Learning in Finance are less well known. In fact, there are few domains with as much historical, clean and structured data as the financial industry -- making it one of those predestined use cases where'learning machines' made an early mark with tremendous success that still continues. About three years ago, I got involved in developing Machine Learning (ML) models for price predictions and algorithmic trading in Energy markets, specifically for the European market of Carbon emission certificates. In this article, I want to share some of the learnings, approaches and insights which I have found relevant in all my ML projects since.

Your purchase helps support NPR programming. We all know that the world is changing. But do we know where it is going? That being the case, how can we control where it is going? And who is the "we" in control?

AI will become one of the most defining technologies across industries, and the nations that get it "right" are bound to break to the next level of economic and social development. The US and China have been at a race to harness the potential that the application of artificial intelligence holds for the national economic environment and international competitiveness. There are a number of societal and organizational characteristics that China possesses that might put it at an advantage in the development of advanced AI. The first is China's particular brand of socialist market economy gives the government a significant amount of control and involvement in market forces. Not only does this mean Beijing can push for over-the-horizon innovation where market forces would typically fail, but it also has created a unique level of cooperation between Chinese tech companies and the government.

A few weeks ago, the VIX posted its largest-ever weekly jump of 118% and then continued to be extremely volatile. Say goodbye to the investor complacency of the past three years, and hello to a new stretch of up-and-down trading. When this type of two-way volatility appears in the stock market, it tends to stick around for longer than a few days. It also tends to leave traders befuddled and searching for direction – but what kind of market analysis is going to be best suited for today's trader: technical or fundamental? Technical analysis is the practice of gauging a stock's future price fluctuations by analyzing past activity.

Market disruptions are times of great stress, but they also provide great opportunity. They define new winners and losers in the marketplace. And the next major disruption is just around the corner -- it's the coming era of the personal assistants, and there are many market forces that are driving this shift. The first of these market forces is the explosion of the Internet of Things: Internet-connected devices will be something other than a PC, tablet or a smartphone. Gartner predicts that 8.4 billion connected devices will be in use in 2017 (up 31 percent from last year) and that this number will reach 20.4 billion by 2020.

A future world ruled by evil corporations isn't exactly a new concept, but the Syfy show Incorporated brings something fresh to the idea. Science fiction editor John Joseph Adams says the show's world-building will impress even hardcore science fiction readers. "Most shows don't come anywhere near the world-building sophistication of a science fiction novel, but this one really does," Adams says in Episode 247 of the Geek's Guide to the Galaxy podcast. "It's almost surprising to me that it's not based on a novel." Fantasy author Erin Lindsey, who spent over a decade as a humanitarian aid worker, says that some of that sophistication may be the work of Matt Damon, who's a producer on Incorporated.