The AI search startup once predicted advertising would be a massive business. Perplexity is abandoning plans to put ads in its AI search product as the industry looks for sustainable business models that won't hurt user trust. The changes are part of a larger strategic shift for the company, which has long focused on disrupting Google Search's business. Google is changing to be like Perplexity more than Perplexity is trying to take on Google, said a Perplexity executive at a press briefing on Tuesday. Executives spoke to the press on the condition of anonymity.

The IPPR recommended standardised labels for AI-generated news, showing what information had been used to create those answers. The IPPR recommended standardised labels for AI-generated news, showing what information had been used to create those answers. AI-generated news should carry'nutrition' labels, thinktank says AI-generated news should carry "nutrition" labels and tech companies must pay publishers for the content they use, according to a left-of-centre thinktank, amid rising use of the technology as a source for current affairs . The Institute for Public Policy Research (IPPR) said AI firms were rapidly emerging as the new "gatekeepers" of the internet and intervention was needed to create a healthy AI news environment. It recommended standardised labels for AI-generated news, showing what information had been used to create those answers, including peer-reviewed studies and articles from professional news organisations.

Savvy countries will discover there's a way to mitigate the harm incurred by Trump's tariffs--and it'll boost their own economies while making goods cheaper too. In 2026, the leaders of America's (former) trading partners are going to have to grapple with the political consequences of tit-for-tat tariffs. A tariff is a tax paid by consumers, and if there's one thing the past four years have taught us, it's that the public will not forgive a politician who presides over a period of rising prices, no matter what the cause. Luckily for the political fortunes of the world's leaders, there is a better way to respond to tariffs. Tit-for-tat tariffs are a 19th-century tactic, and we live in a 21st-century world--a world where the most profitable lines of business of the most profitable US companies are all vulnerable to a simple legal change that will make things cheaper for billions of people, all over the world, including in the US, at the expense of the companies whose CEOs posed with Trump on the inaugural dais.

Cloudflare CEO Matthew Prince claims the internet infrastructure company's efforts to block AI crawlers are already seeing big results. As the large language models powering generative AI tools slurp up ever more data across the web, Cloudflare cofounder and CEO Matthew Prince said at WIRED's Big Interview event in San Francisco on Thursday that the internet infrastructure company has blocked more than 400 billion AI bot requests for its customers since July 1. The action comes after the company announced a Content Independence Day in July--an initiative with prominent publishers and AI firms to block AI crawlers by default on content creators' work unless the AI companies pay for access. Since July 2024, Cloudflare has offered customers tools to block AI bots from scraping their content. Cloudflare told WIRED that the number of AI bots blocked since July 1, 2025 is 416 billion.

The Cloudflare CEO joined to talk about standing up to content scraping, the internet's potential futures, and his company's relationship to Trump. Matthew Prince may not be a household name, but the world most certainly knows his work. Prince is the cofounder and CEO of Cloudflare . Launched in 2010, the internet infrastructure company has found itself increasingly in the position of serving as the web's bodyguard. It filters out bad traffic, keeps sites safe, and stops them from crashing when too many people visit. Its tools defend against DDoS attacks. In 2017, Cloudflare made headlines when it dropped white supremacist site The Daily Stormer . Cloudflare's severing of ties with The Daily Stormer marked a momentous shift, one that came after years of claiming a neutral stance. Prince continues to evolve the way Cloudflare works. In July, the company rolled out a new tool tasked with blocking unauthorized AI scraping. It effectively creates a pay-per-crawl model requiring AI platforms to shell out money if they want access to a site's content. On this episode of, I talked to Prince about publishing, the old internet, and how his ideal version of the future web means that OpenAI just might become the Netflix of content. KATIE DRUMMOND: Good to have you here, Matthew. You should have been warned ahead of time, but you probably weren't.

The World Wide Web (Web) emerged as a new medium in the mid-1990s. It was invented by Tim Berners-Lee at the European Organization for Nuclear Research (CERN) in 1989, but its exploding popularity was also enabled by the release of the Mosaic Web browser in 1993 and the Internet becoming commercially available in 1995. A communication revolution was launched. Roughly 30 years later, the release of ChatGPT by OpenAI in Nov. 2022 launched another revolution. High-quality generation of natural-language text, defined as the hallmark of intelligence by Alan Turing in 1950, is suddenly widely available. I wonder, however, if the generative AI (GenAI) revolution will end up devouring the Web revolution.

Advancements in digitization have enabled two sided manufacturing-as-a-service (MaaS) marketplaces which has significantly reduced product development time for designers. These platforms provide designers with access to manufacturing resources through a network of suppliers and have instant order placement capabilities. Two key decision making levers are typically used to optimize the operations of these marketplaces: pricing and matching. The existing marketplaces operate in a centralized structure where they have complete control over decision making. However, a decentralized organization of the platform enables transparency of information across clients and suppliers. This dissertation focuses on developing tools for decision making enabling decentralization in MaaS marketplaces. In pricing mechanisms, a data driven method is introduced which enables small service providers to price services based on specific attributes of the services offered. A data mining method recommends a network based price to a supplier based on its attributes and the attributes of other suppliers on the platform. Three different approaches are considered for matching mechanisms. First, a reverse auction mechanism is introduced where designers bid for manufacturing services and the mechanism chooses a supplier which can match the bid requirements and stated price. The second approach uses mechanism design and mathematical programming to develop a stable matching mechanism for matching orders to suppliers based on their preferences. Empirical simulations are used to test the mechanisms in a simulated 3D printing marketplace and to evaluate the impact of stability on its performance. The third approach considers the matching problem in a dynamic and stochastic environment where demand (orders) and supply (supplier capacities) arrive over time and matching is performed online.

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are recognized to have significant effects on industry and business dynamics, not least because of their impact on the preconditions for entrepreneurship. There is still a lack of knowledge of GenAI as a theme in entrepreneurship research. This paper presents a systematic literature review aimed at identifying and analyzing the evolving landscape of research on the effects of GenAI on entrepreneurship. We analyze 83 peer-reviewed articles obtained from leading academic databases: Web of Science and Scopus. Using natural language processing and unsupervised machine learning techniques with TF-IDF vectorization, Principal Component Analysis (PCA), and hierarchical clustering, five major thematic clusters are identified: (1) Digital Transformation and Behavioral Models, (2) GenAI-Enhanced Education and Learning Systems, (3) Sustainable Innovation and Strategic AI Impact, (4) Business Models and Market Trends, and (5) Data-Driven Technological Trends in Entrepreneurship. Based on the review, we discuss future research directions, gaps in the current literature, as well as ethical concerns raised in the literature. We highlight the need for more macro-level research on GenAI and LLMs as external enablers for entrepreneurship and for research on effective regulatory frameworks that facilitate business experimentation, innovation, and further technology development.

Finals season looks different this year. Across college campuses, students are slogging their way through exams with all-nighters and lots of caffeine, just as they always have. Through the end of May, OpenAI is offering students two months of free access to ChatGPT Plus, which normally costs 20 a month. It's a compelling deal for students who want help cramming--or cheating--their way through finals: Rather than firing up the free version of ChatGPT to outsource essay writing or work through a practice chemistry exam, students are now able to access the company's most advanced models, as well as its "deep research" tool, which can quickly synthesize hundreds of digital sources into analytical reports. The OpenAI deal is just one of many such AI promotions going around campuses.

Ontology is a general term used by researchers who want to share information in a specific domain. One of the hallmarks of the greatest success of a powerful manager of an organization is his ability to interpret unplanned and unrelated events. Tools to solve this problem are vital to business growth. Modern technology allows customers to be more informed and influential in their roles as patrons and critics. This can make or break a business. Research shows that businesses that employ a customer-first strategy and prioritize their customers can generate more revenue. Even though there are many different Ontologies offered to businesses, none of it is built from a cognitive perspective. The objective of this study is to address the concept of strategic business plans with a cognitive ontology approach as a basis for a new management tool. This research proposes to design a cognitive ontology model that links customer measurement with traditional business models, define relationships between components and verify the accuracy of the added financial value.