AI chatbots and TikTok reshape how young people get their daily news
Artificial intelligence is changing the way people get their news, with more readers turning to chatbots like ChatGPT to stay up to date. At the same time, nearly half of young adults now rely on platforms such as TikTok as their main source of news.
The findings come from the Reuters Institute's annual Digital News Report, released this week. The Oxford University-affiliated study surveyed nearly 97,000 people across 48 countries to track how global news habits are shifting.
The study found that a notable number of people are using AI chatbots to read headlines and get news updates – a shift described by the institute's director Mitali Mukherjee as a 'new chapter' in the way audiences consume information.
While only 7 percent overall say they use AI chatbots to find news, that number rises among younger audiences – 12 percent of under-35s and 15 percent of under-25s now rely on tools such as OpenAI's ChatGPT, Google's Gemini or Meta's Llama for their news.
'Personalised, bite-sized and quick – that's how younger audiences want their news, and AI tools are stepping in to deliver exactly that,' Mukherjee noted.
Beyond reading headlines, many readers are turning to AI for more complex tasks: 27 percent use it to summarise news articles, 24 percent for translations, and 21 percent for recommendations on what to read next. Nearly one in five have quizzed AI directly about current events.
(with newswires)
Read more on RFI EnglishRead also:AI steals spotlight from Nobel winners who highlight Its power and risksAI showcase pays off for France, but US tech scepticism endures'By humans, for humans': French dubbing industry speaks out against AI threat

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
43 minutes ago
- Yahoo
Nike's Brand is Strong, But Pressures Are Mounting
Few would dispute that Nike (NYSE:NKE) remains one of the most iconic brands in athletic fashion, with a track record of defining culture, bringing impressive levels of innovation, and delivering at scale globally. However, 2025 is proving to be a challenging year for many of the world's largest retailers, with mounting pressures from geopolitical tensions, rising threats to supply chains, and uncertain trading conditions. I see shares in the company trading close to fair value, so while Nike is likely going nowhere any time soon, the catalysts that have made it investible over the last few decades are not really working for now. One of the most instantly recognisable brands in the world, Nike has been designing, marketing and selling athletic footwear, clothing, and equipment since 1964. It generally operates across direct to consumer sales channels, delivering just over $50 billion in revenue in FY24. Net margins during this period were a solid 9%, well above the median average of peers at 5%. However, there will be concerns that this growth appears to be faltering, with the share price down over 35% in a year, forward revenues expected to drop by 4%, and EPS sliding 16%. Following the events of the pandemic, a shift towards direct to consumer business was meant to deliver premium margins and a closer relationship with customers. Although there were signs in previous quarters that this was developing, the wider economic landscape globally has taken a significant toll on the balance sheet. Rising costs in logistics, weakening demand, and discounting from competitors have all hit margins more than management would have liked to see. With so much of the company's logistics network in China, Vietnam and Indonesia, the recent tariff tensions have put enormous stress on the profitability analysts are expecting over the coming years, with some suggesting that as much as [url="]95[/url]% of profits could be at risk in the worst case scenario. Of course, Nike is not the only company dealing with this landscape, but with newer brands amassing loyal followings from social media and more dynamic brand campaigns, firms such as Lululemon are seeing surges in key markets, such as women-led athleisure. Nike is clearly making moves to correct this, with a partnership with [url="]Skims[/url] likely to roll out in 2026, but it suggests that the firm is perhaps on the backfoot with these emerging trends. That said, there is enormous strength in the Nike brand, with a track record of cash-generation, innovative campaigns, and huge deals with athletes such as LeBron James and Kylian Mbappe. From an investor perspective, the 2.7% dividend yield adds a decent level of appeal alongside a strong balance sheet, especially in a period of market transition where some of these newcomers appear to be losing share even faster than some of the more established players. From my perspective, the real weakness comes from relatively weak momentum and a rather expensive valuation. With a forward P/E sitting at about 31x, EV/EBITDA at 16x and P/S at about 2x, the company's key metrics are at a decent premium despite not necessarily having the growth to justify them. Following the latest Q4 earnings report, which indicated that inventory clearance is underway, many analysts have slashed expectations, with management forecasting revenue decline of between 8-10%. Digging into the valuation, I've developed a discounted cash flow (DCF) model based on the following inputs: Terminal growth: 2.5% based on industry, WACC: 8% based on industry and peers, Revenue CAGR 5Y: 2%, EBIT Margin: approx. 11%. With these assumptions applied, a fair value of shares comes to about $52 per share. This can be closer to $62 in a more optimistic scenario where top line growth exceeds 5%, and with 13-14% margins, but even in this case, I'd not expect to see much more than 10% returns for investors in the across the market to peers with slightly more appealing valuations, such as Adidas with P/E of 15x, I feel that it is hard to get excited about this premium as a new investor. Of course, there are plenty of reasons to justify both perspectives, and the divided ratings from Wall Street reflect this well. With 63% of analysts now appearing to be behind Buy or Strong Buy ratings, and 35% holding neutral ratings, I appear to be in the relative minority on the bearish side of the spectrum. Recent upgrades in the Nike coverage from analysts match this, with about 23 upward revisions for EPS guidance, and just 4 downgrades, suggesting that cost control and potential products reflect opportunities looking ahead. That said, top-line expectations for revenue forecasts have been much more negative. From my perspective, I have my eye on the next earnings report on June 27th. Investors will be keen to understand the latest inventory levels and strategy for approaching markdowns going forward, but mostly will look to the trend in gross margins. I'd also want to see some more promising performance, particularly in the critical Chinese market, and hear some progress towards new innovations which will keep investors on-side. Investors will likely want to hear exactly where margin targets are landing for management, and the response being taken to fierce competition across multiple sectors. By no means is the investor thesis for Nike broken, but I fear that it is nowhere near as strong as the valuation may justify. It is still an elite brand across multiple markets, with strong profitability and operational discipline during a volatile period. However, I feel that it is far from an automatic pick for investors at present, with growth looking uncertain, and a valuation which leaves little room for error. Investors may be rewarded for patience at this stage, especially if innovation and cost control works out in a negative market backdrop, but I suspect there may be safer opportunities elsewhere. Until management are able to present tangible evidence that revenue is accelerating, and that the brand is moving ahead of leaner competitors, I'll be keeping my distance. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
44 minutes ago
- Yahoo
Google AI is worse at Pokemon than I was when I was 5 – taking 800 hours to beat the Elite 4 and having a breakdown when its HP got low
When you buy through links on our articles, Future and its syndication partners may earn a commission. If you're someone who thinks AI is almost ready to take over the world, I have some good or bad (depending on your stance on things) news for you: Google's Gemini 2.5 Pro took over 800 hours to beat the 29-year-old children's game Pokemon Blue. There's a Twitch account called Gemini_Plays_Pokemon, a pale imitation of the incredible Twitch Plays Pokemon account that started this trend. First things first: how long did it take the AI to actually complete the game? Well, it was a staggering 813 hours. I feel like you could hit buttons randomly and beat the game faster than that. After some tweaks by the creator of this Twitch channel, the AI managed to halve its time to a still outrageous 406.5 hours. That is actually dead on half the time, which is interesting mathematically but still far too long to beat a game you can win with an overleveled Venusaur. Additionally, as spotted by our friends at PC Gamer, Google DeepMind reported on the Twitch account, and something unusual happens whenever its Pokemon get low on health or power points (PP). Whenever one or both of these conditions are met, "model performance appears to correlate with a qualitatively observable degradation in the model's reasoning capability – for instance, completely forgetting to use the pathfinder tool in stretches of gameplay while this condition persists." This, combined with the AI mistakenly thinking it was playing FireRed and LeafGreen and would need to find the Tea to progress, are part of the reasons it took so long to finish. Honestly, AI just isn't very good at playing Pokemon. Someone else made Claude Plays Pokemon, and that AI spent hours trying to get out of Cerulean city because it kept jumping down a ledge to talk to an NPC it had already spoken to dozens of times. So, these AIs aren't able to beat a game that we could when we barely knew our times tables. Let's not worry about them taking our jobs any time soon. In the meantime, check out the best Pokemon games of all time.
Yahoo
an hour ago
- Yahoo
FinThrive Introduces Agentic AI at HFMA 2025 to Help Customers Transform Healthcare Revenue Cycle Management Performance
Company to also highlight advancements in denials and underpayments management and speak to the measurable impact of RCM technology adoption DENVER, June 22, 2025 /PRNewswire/ -- FinThrive, Inc., a leading healthcare revenue management software-as-a-service (SaaS) provider, will have a significant presence at the 2025 Healthcare Financial Management Association (HFMA) Annual Conference, which will take place June 22-25 in Denver, Colorado. With high-profile speaking engagements, live demonstrations of cutting-edge solutions, and Agentic AI-driven innovation, FinThrive will showcase how its revenue cycle management platform helps healthcare organizations modernize operations, reduce friction and more strategically and proactively recover revenue. Advancements in Artificial Intelligence – Agentic AI FinThrive is expanding its suite of AI, machine learning (ML), generative AI, and robotic process automation (RPA) tools with the launch of Agentic AI capabilities, a next-generation innovation in healthcare revenue cycle management. Unlike traditional revenue cycle automation tools that rely on predefined rules, agentic AI introduces intelligent digital agents capable of autonomous decision-making, dynamic workflow optimization, and complex task execution. These capabilities enable providers to recover revenue faster, reduce operational friction, and adapt to payer behavior in real time. FinThrive's differentiated approach leverages broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends to support optimized execution. In addition to Agentic AI, FinThrive incorporates AI Machine Learning, Generative AI and RPA across its platform to optimize the revenue cycle from cash flow forecasting to prior authorization determination to expediting contract loading. FinThrive's cloud infrastructure and data lake allow for a broad array of use cases to be delivered and enhance existing RCM solutions. FinThrive leverages a broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends for optimized execution. This differentiated approach ensures agentic AI delivers not just automation, but intelligent, enterprise-wide transformation across revenue operations. Agentic AI delivers significant advantages across the revenue cycle by enabling intelligent, autonomous operations. It allows digital agents to prioritize accounts, flag incomplete documentation, and apply real-time coding corrections. Complex tasks like payer rule adjustments, eligibility checks, and prior authorization determinations are streamlined through end-to-end automation. The system continuously learns by monitoring payer behavior, integrating feedback loops, and refining execution strategies dynamically – this reduces manual workloads, boosts staff productivity, and enables teams to focus on higher-value activities. At the same time, Agentic AI strengthens compliance by ensuring all documentation and AI-generated content align with regulatory standards. Agentic AI is a key element of a new intelligent data platform FinThrive is launching at the HFMA Annual Conference. This future-ready foundation is the modern operating system for revenue cycle transformation, bringing AI, analytics, and automation together to deliver faster insights, greater accuracy, and measurable performance improvement. By embedding intelligent decision-making and automation across the entire revenue lifecycle, FinThrive will empower healthcare organizations to operate more efficiently, recover revenue faster, and adapt at scale in an evolving payer environment. Agentic AI is only one component of a comprehensive, tech-forward infrastructure FinThrive will launch tomorrow at the conference. This exciting innovation establishes FinThrive as the modern foundation for exponential value creation in healthcare revenue operations, enabling AI, automation, and analytics to work better, faster, and at scale. As FinThrive continues to innovate, multiple AI-driven agents are slated for release in the future. FinThrive's commitment to redefining revenue cycle management through Agentic AI empowers providers to work smarter, recover revenue faster, and drive operational excellence. RCMTAM: Modernization with Measurable Impact During a breakout presentation titled, Connecting RCM Technology Adoption & Modernization Patterns to Financial Performance, Evan Goad, FinThrive's Chief Growth Officer will be joined by Mike Vigo, Chief Revenue Cycle Officer at UC San Diego Health, to share how leading organizations have utilized the results of the RCMTAM in the past year, highlight best practices for financial improvement and what they see for the future of the technology modernization journey. Developed in partnership with HFMA, the RCMTAM is the industry's first company-agnostic benchmarking model designed to help providers assess and prioritize technology investments. Since its launch in late 2023, more than 150 organizations have completed the RCMTAM assessment, with two achieving the coveted Stage 5 level, signifying end-to-end optimization and advanced revenue intelligence. The presentation will occur on June 23 from 3:00 to 3:50 p.m. at Mile High 2A & 3A. Onsite Debut: Denials & Underpayments Analyzer Attendees will also get a first look at FinThrive's new Denials & Underpayments Analyzer. The AI-powered tool helps providers convert payer data noise into actionable financial insights, pinpointing denial patterns, underpayment trends, and high-value recovery opportunities. Live demonstrations will be available throughout the event at the FinThrive booth. Visit FinThrive at Booth #631 during HFMA 2025 to explore the latest innovations, connect with our experts and experience what's next in healthcare revenue transformation. About FinThriveFinThrive helps healthcare organizations increase revenue, reduce costs, expand cash collections and ensure regulatory compliance across the entire revenue cycle continuum. Providing one of healthcare's most comprehensive revenue cycle management SaaS platforms, FinThrive's holistic approach to intelligent revenue management offers patient access, charge integrity, claims management, contract management, AI machine learning, generative and agentic AI, robotic process automation, data and analytics, and education solutions. Three out of five U.S. hospitals and health systems are using FinThrive today. For more information, visit View original content to download multimedia: SOURCE FinThrive, Inc.