AI News Archive: June 25, 2026 — Part 8
Sourced from 500+ daily AI sources, scored by relevance.
- Is the AI industry profitable? Yes, just not where you’re looking
The question “Is the AI industry profitable?” has two correct answers, and they point in opposite directions. At the chip-design and leading-edge-fabrication layers, AI is already one of the most profitable industries in commercial history. At the layers the market calls “AI”, frontier model labs, GPU-rental builders, and most applications built on someone else’s model, […] The post Is the AI industry profitable? Yes, just not where you’re looking appeared first on e27 .
Score: 39🌐 MovesJun 25, 2026https://e27.co/is-the-ai-industry-profitable-yes-just-not-where-youre-looking-20260619/ - Rethinking quality engineering in the age of AI
The software industry's focus on speed has outpaced quality engineering, creating hidden risks in AI-led development. Traditional testing struggles with modern, dynamic software. AI-powered platforms are transforming quality from a bottleneck into an advantage by enabling self-learning, automated testing. This shift is crucial for businesses to maintain customer trust, reduce operational risk, and achieve competitive speed and reliability in today's market.
- Nutanix says software companies will fail in GenAI era only if they’re not critical
As generative AI reshapes software, Nutanix's CEO emphasizes the company's integral role in technology infrastructure. Despite recent declines in market value, Nutanix remains confident in its growth potential, focusing on essential software that cannot be easily replaced by automation.
- AI for Employment Contract Review: What to Check and What to Flag
Guidance on key elements to review in employment contracts using AI.
- Nobel-prize winning economist Professor Daron Acemoğlu discusses the future of AI at Q&A session
Nobel-prize winning economist Professor Daron Acemoğlu discusses the future of AI at Q&A session University of Oxford
- Anthropic Customers Find Errant Charges, Auditing Startup Says
Anthropic Customers Find Errant Charges, Auditing Startup Says The Information
- See the pitch deck AI observability startup Sazabi used to raise $8 million seed round from YC and J2 Ventures
See the pitch deck AI observability startup Sazabi used to raise $8 million seed round from YC and J2 Ventures Business Insider
Score: 38💰 MoneyJun 25, 2026https://www.businessinsider.com/pitch-deck-sazabi-ai-observability-8-million-y-combinator-2026-6 - Why Amazon Dropped Its OpenAI Movie, Data Center Workers Fight Back, and Meta Leaks Employee Data
The decision by Amazon-owned MGM Studios to drop the OpenAI movie is just part of AI and film industries becoming increasingly intertwined. On Uncanny Valley, we look at where this is all headed.
- Stop automating inefficiency and scale AI the right way
COMMENTARY | Four operational realities that agencies must address before AI can deliver mission impact at scale.
Score: 38🌐 MovesJun 25, 2026https://www.nextgov.com/ideas/2026/06/stop-automating-inefficiency-and-scale-ai-right-way/414434/ - Beehiiv’s new Cloudflare partnership gives indie journalists a new level of control over AI crawlers
Over the past year, major news publishers have taken aggressive anti-scraping measures to curb the rise of AI crawlers. So far, most of these backend interventions have been out of reach for independent journalists who publish on third-party newsletter platforms. That is changing with a new partnership announced on Tuesday between Beehiiv and Cloudflare, the...
- Democracy has a listening problem. These AI tools could actually help
When four-year-old Joca, a golden retriever with dark soulful eyes, died on a scorching Brazilian tarmac after an airline’s tragic mistake, the nation’s outrage could have remained just another trending hashtag. But Fernando, a young man in São Paulo, submitted an online legislative proposal for “Joca’s law.” Senators held a hearing, and eventually the Senate and the House passed legislation. While most online engagement today amounts to clicking, liking, and sharing—what the late political theorist Benjamin Barber called “the caverns of private solitude”—Brazil’s system shows how institutions might use digital tools differently. In 1999, I saw both the promise and peril of using technology to create that participatory spirit. Working with Barber, I built Unchat , the first software designed specifically for democratic deliberation. With his distinctive baritone voice and youthful cowlick, Barber, who died in 2017, was fond of arguing that democracy, if it is to survive the assaults of hostile modernity, needs to do more than enable free speech. It needs to give citizens the power to decide and act. Unchat allowed groups to come together to debate, discuss, and decide across distances. Uniquely, the software enabled each participant to take turns moderating the conversation, with control rotating after a set time. This was an intentional construction to encourage fairness and collective decision making. Our aim wasn’t just to enable talk for its own sake, but to create opportunities for practical participation, where citizens actively shape political decisions. Adapted from Reboot: AI and The Race to Save Democracy , Yale University Press, 2026. The late 1990s were heady times for those who believed in the transformative potential of the World Wide Web to reimagine democracy. Vint Cerf, one of the internet’s architects—rarely seen without his signature three-piece suit and French cuffs—remarked that, with the Internet’s capacity for two-way communication, “[p]eople could provide feedback. I think a lot of legislators originally thought of the Net as another avenue for communicating with their constituents,” he noted, “except then they discovered the constituents could talk back and talk to each other!” Since the ’90s, the number and variety of platforms have only grown, and with them the ability to reach out to new audiences; but our institutions have remained largely unchanged. Stories of citizens directly shaping how institutions decide are vanishingly rare, even in most democracies. Despite the proliferation of online engagement tools, two-thirds of people still believe they have little influence over government decisions. Social media platforms, designed to maximize ad revenue rather than dialogue, have transformed citizens from active participants into passive spectators, staring at what comedian Hasan Minhaj calls the “rectangle of sadness,” distracted by national politics we cannot influence. We thought that the Web would usher in a new Athenian golden age. But when everyone talks, institutions cannot listen. Democracy Theater Even when participation takes place at scale, it rarely penetrates the institutions where power resides or becomes sustained practice. In addition, meaningful participation remains too taxing for most institutions to sustain over time. The UK Cabinet Office estimates that “a consultation attracting 30,000 responses requires a team of around 25 analysts for 3 months to analyze the data and write the report.” Exceptions highlight the path forward. Peer-to-Patent , the online public engagement my students and I launched with the U.S. Patent and Trademark Office in 2005, succeeded by integrating public participation directly into Patent Office processes and creating a structured handoff between public input and examiner decisions. Similarly, Challenge.gov , operated by the US General Services Administration, enabled over two thousand prize-backed competitions over the last decade. Federal agencies pose specific problems for public solvers with defined rules and outcomes. The government reported : “Challenges have produced concepts for the next ‘lunar loo’ (space toilet), an improved digital wallet user interface, protecting fish from water infrastructure, opioid detection in international mail, and ‘getting out the count’ for the census. And yes, those self-driving vehicles got their start in federal prize competitions too!” (The platform was decommissioned by the Trump Administration this spring, but government agencies continue to run challenges through their own websites.) These successes remain rare. For most platforms and experiments, participation is staged at the edges of governance rather than embedded in its core. The result is a cycle of citizen engagement that looks impressive from the outside but has little effect on what governments or companies do. From Citizen to Senator When an eighty-two-year-old retiree from the coastal city of Maceió called Brazil’s Senate hotline to suggest that medication labels needed larger font sizes, he had no idea that a senator from Amazonas would champion his simple suggestion. From a proposal to end housing subsidies for deputies and judges and terminate perks for former presidents to the idea to legalize marijuana and ban straws, the Brazilian case stands in stark contrast to the United States, where a member of the public has almost no way to participate in what our Congress does. Central to the success of Brazil’s participatory lawmaking is a significant investment in the technology for public engagement. The Senate Digital Services team builds the tools, while a dedicated fifteen-person e-Citizenship team moderates submissions, coordinates with parliamentary offices, and ensures the smooth operation of its four participatory processes. The e-Citizenship team also conducts outreach, actively promoting civic engagement and, above all, working to integrate participation into institutional practices. Whereas other systems have buckled under the volume of public input, Brazil’s Senate processes allow millions of citizen interactions through a combination of clear thresholds, dedicated staff, and well-designed digital infrastructure. The public can even “vote” directly on all bills under Senate consideration, from their introduction to final processing. While these votes aren’t binding, they give lawmakers valuable insight into public opinion. In the decade since the system went live, some 15 million registered participants have cast 34 million votes on thirteen thousand bills. Challenges and Limitations While the Brazilian Senate’s digital democracy initiatives have achieved remarkable reach, the tension between scale and quality of engagement limits progress. The sheer volume of participation—thousands of legislative ideas each month, tens of thousands of hearing questions annually, millions of votes on pending legislation—creates significant operational pressures on Senate staff and has led to design decisions that make the processes less useful for the public and politicians. Input is too often duplicative and of low quality. Now the e-Citizenship team is turning to artificial intelligence to address current limitations while expanding reach and impact. AI could help citizens craft more effective proposals while helping staff identify and connect related submissions. It could analyze successful past proposals to guide citizens in creating submissions more likely to gain institutional traction, offering tips as people are drafting. With AI support, citizens could submit comprehensive proposals that define problems, outline solutions, and provide supporting evidence. The technology could quickly analyze submissions, pointing out areas where additional data or explanation might strengthen the case. Instead of one submitter, members of the public could collaborate to write better proposals in which citizens build on each other’s ideas to create more robust legislative suggestions. AI analysis could also address the platform’s problem with duplicate submissions. Currently, citizens often submit similar proposals about the same issue, splitting potential support among multiple entries. For instance, there were at least three Joca proposals. AI could identify these overlapping submissions and actively connect citizens working on similar ideas, encouraging them to collaborate rather than compete for attention and votes. The current system of displaying only the three most popular ideas on the front page of the Senate’s website could evolve into something more dynamic and fairer. Rather than relying solely on vote counts, AI could create an intelligent rotation system that considers engagement patterns, relevance to current legislative discussions and news, geographic representation, and topic diversity. This would bring attention to promising ideas that might otherwise be overlooked while keeping the platform democratic. For Senate staff reviewing submissions, AI could streamline the evaluation of citizen legislative proposals without replacing human judgment. Natural language processing could identify potential constitutional issues, categorize proposals by topic, and generate initial assessments of feasibility. There are models for how to batch, cluster, and evaluate inputs at scale. In 2024?, the city of Bogotá deployed the “Chatico” chatbot via WhatsApp and the Web. Chatico lets citizens engage in participatory budgeting, propose “citizen causes,” submit votes, and interact about city services. Over one two-week campaign , 56,000 residents cast 132,000 votes on 2,700 local projects. Behind the scenes, Chatico uses AI to classify and organize messages and feed results into live dashboards for city officials. Unlike one-off consultations, it is embedded within Bogotá’s governance structures and overseen by the city’s ICT office. In the UK, the Department for Work and Pensions has piloted an AI system called “white mail” that processes twenty-five thousand citizen communications a day, including handwritten letters, to flag urgent cases from vulnerable individuals and prioritize them for human review. (Notably, the system has also raised concerns about transparency and accountability). In Derry, Northern Ireland, the Voice Matters project has piloted AI-supported transcription and categorization to make sense of public deliberation in real time. The system transcribes discussions, clusters related contributions, and visualizes areas of agreement and disagreement as meetings unfold, allowing facilitators to highlight overlooked perspectives without drowning in repetition. Brazil’s Public Consultation platform , which has already collected over 37 million votes on legislation since it launched in 2013, could evolve far beyond its current thumbs-up, thumbs-down voting system. Rather than simply tallying yes and no clicks, AI could help capture and analyze the reasoning behind citizens’ positions, transforming what is currently a binary approach (approving or disapproving of a bill) into a deliberative dialogue between citizens and their government. From Talk to Action Google’s Jigsaw unit, which focuses on technology and human rights, and which has developed machine learning systems to help publishers like the New York Times manage toxic comments, has recognized that controlling harmful content isn’t enough to create meaningful democratic participation. Christopher Small of Jigsaw explains that he and his colleagues are focusing on the “last mile problem”—how to transform the output of online discussions into something institutions can use. “These platforms produce massive amounts of data,” he says. “The challenge is making sense of it all.” Jigsaw’s goal is to provide decision makers with actionable insights—as Small puts it, telling a mayor, “Here are five key areas of agreement that could inform legislation, and here are five complex points of contention around this infrastructure plan.” They have experimented with using AI to produce summaries for decision makers in Bowling Green, Kentucky, for example. They ran an engagement in 2025 where 8,000 residents submitted 4,000 ideas and cast over a million votes about their community’s future. Their “sensemaking tools” use machine learning to categorize public comments into topics, identify patterns in how residents vote on different ideas, and generate concise summaries that highlight areas of consensus and disagreement. Rather than just facilitating more conversation, Jigsaw’s approach acknowledges that democratic participation requires translating public input into usable information that can influence policy decisions. Without this translation layer, even the most robust public conversations risk becoming performative exercises rather than meaningful inputs to governance. Studying the Wrong Questions For decades, many scholars and policymakers have treated public participation as a problem to be managed rather than a resource to be cultivated. This “realist” view, which gained prominence after World War II with the growth of money in politics, treated participation as destabilizing. Many academics even challenged the notion that ordinary Americans have the time, competence, or capacity to participate, writing off the public as incapable. This skepticism has led institutions to design consultation processes more as exercises in public relations than as genuine attempts to share power. And when we evaluate democratic innovations, it leads us to focus on metrics like participation rates rather than actual policy impact. Brazil’s experience suggests that participation becomes meaningful only when it is connected to decision-making. What makes this moment different is that artificial intelligence may finally give institutions the capacity to hear, organize, and act on public input at a scale that was previously impossible. Unlike earlier Web-based platforms that only expanded the volume of talking, we can use AI to make sense of the collective intelligence of our communities and uncover better ways to connect participation to decisions and action. The challenge is no longer getting people to speak. It is building institutions capable of listening. Adapted from Reboot: AI and The Race to Save Democracy , Yale University Press, 2026.
- Leo Michael cartoon: Auto industry competes with AI for memory chips
Leo Michael cartoon: Auto industry competes with AI for memory chips Automotive News
Score: 38🌐 MovesJun 25, 2026https://www.autonews.com/opinion/cartoons/an-leo-michael-memory-chips-0625/ - ‘Streets ahead’ – London aims to wear the legal AI crown
New York may have the money, but London is trying to claim the ‘global capital of legal AI’ crown, writes Maria Ward-Brennan. In the midst of a brutal transatlantic talent war, where US firms are driving salaries through the roof and aggressively poaching top talent across the City, London has quietly secured a major strategic [...]
Score: 38🌐 MovesJun 25, 2026https://www.cityam.com/streets-ahead-london-aims-to-wear-the-legal-ai-crown/ - AI Maturity - The 5-Level Framework
The following framework allows leadership to benchmark their organization across five distinct stages. Each level is assessed across four dimensions: Usage (who is using AI and how broadly), Sophistication (what types of tasks AI handles), Governance (what controls and policies are in place), and Infrastructure (what technical foundations support AI
- What is AI Legal Document Review (and How Accurate is it)?
Explains AI document review processes and accuracy metrics.
- 3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal
Beat the 8GB VRAM limit. Learn how to run three different LLMs on a single 8GB GPU using C++ layer multiplexing and admission control. The post 3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal appeared first on Towards Data Science .
Score: 38🌐 MovesJun 25, 2026https://towardsdatascience.com/3-agents-3-llms-1-aging-gpu-engineering-parallel-inference-on-bare-metal/ - ET Most Innovative AI Product Awards 2026: Why tax has become one of the biggest trust tests for enterprise data
As businesses generate larger volumes of financial and operational data, tax functions are becoming an unexpected proving ground for AI products. The ET Most Innovative AI Product Awards 2026 recognises solutions helping organisations improve tax compliance, regulatory reporting, risk management and decision-making across increasingly complex business environments.
- Teach Your AI How You Make Decisions
Companies need to translate tacit principles into structured guidance for agents.
- The art of literary translation exposes the limits of AI
For centuries, people have dreamed of undoing Babel. Sci-fi novelists envisioned universal translators, and linguists devised international languages, all in pursuit of a world where one person could speak and another could understand, regardless of where either was born.
- What the Industry Is Getting Wrong About AI, with John Dick, CivicScience | Cannes 2026
Everyone at Cannes is talking about AI — but CivicScience CEO and founder John Dick says the industry is missing its most important stakeholder: the consumer. Drawing on survey data, Dick argues AI may be among the most unpopular technologies ever introduced to the public, with the average person “somewhere between skeptical and terrified.” While […] The post What the Industry Is Getting Wrong About AI, with John Dick, CivicScience | Cannes 2026 appeared first on AdExchanger .
- What is SynthID, and how does it detect AI-generated images?
Google DeepMind's SynthID is designed to leave an invisible mark at the very moment an image is created.
Score: 37🌐 MovesJun 25, 2026https://techcabal.com/2026/06/25/what-is-synthid-and-how-does-it-detect-ai-generated-images/ - Who Is to Blame for Our Company’s AI Mess?
Company leaders need to take a hard look at where and how AI has gone rogue.
Score: 37🌐 MovesJun 25, 2026https://www.inc.com/joe-procopio/who-is-to-blame-for-our-companys-ai-mess/91365406 - Inside CEAT’s digital core: Debashish Roy on turning AI from enabler to business driver
Debashish Roy, Chief Digital Transformation Officer at CEAT, shares with us how AI moved from a support function to a core business driver — cutting energy-related conversion costs by 20%, accelerating new product development by 10–15%, and even laying early groundwork in quantum computing with IIT partnerships The post Inside CEAT’s digital core: Debashish Roy on turning AI from enabler to business driver appeared first on Express Computer .
- When AI Puts Gen Z in the C-Suite
Software firm Pendo might have been taking a risk when it appointed a 23-year-old as its chief AI officer, but so far, his age has proved an advantage, says the company’s CEO.
Score: 37🌐 MovesJun 25, 2026https://www.wsj.com/cio-journal/when-ai-puts-gen-z-in-the-c-suite-7a2668cf?mod=rss_Technology - 5 ways to learn with study notebooks in the Gemini app
mp4 reading "Meet study notebooks in Gemini"
Score: 37🌐 MovesJun 25, 2026https://blog.google/innovation-and-ai/products/gemini-app/gemini-study-notebooks/ - Quantum AI Microcities Project Launch First Global AGI Communities Clinical Trial Network (Veterans First for America)
Quantum AI Microcities Project Launch First Global AGI Communities Clinical Trial Network (Veterans First for America) markets.businessinsider.com
- Defiance Launches AIX: The First ETF Targeting the AI Beneficiaries Within the Nasdaq 100
Defiance Launches AIX: The First ETF Targeting the AI Beneficiaries Within the Nasdaq 100 markets.businessinsider.com
- Before AI, Fix Your Data
Institutions don't have to solve every data problem before they can begin using AI responsibly. But they do need to treat information as a strategic asset — not a byproduct of operations — and start building toward AI-ready data now.
Score: 36🌐 MovesJun 25, 2026https://campustechnology.com/articles/2026/06/25/before-ai-fix-your-data.aspx - Qodo Extends Reach and Scope of AI Code Review Platform
Qodo Extends Reach and Scope of AI Code Review Platform DevOps.com
Score: 36🌐 MovesJun 25, 2026https://devops.com/qodo-extends-reach-and-scope-of-ai-code-review-platform/ - Smartling Wins 2026 AI Breakthrough Award as Enterprise AI Translation Grows 218% Year-over-Year
Smartling Wins 2026 AI Breakthrough Award as Enterprise AI Translation Grows 218% Year-over-Year USA Today
- How the right automated storage management boosts AI and analytics pipeline performance and reliability
How the right automated storage management boosts AI and analytics pipeline performance and reliability IT Pro
- ZingHR expands into Enterprise AI with GHROWTH.ai
ZingHR has launched GHROWTH.ai, an AI-powered strategic command centre designed to provide boards and executive leadership teams with a unified view of enterprise performance by consolidating data from HR, finance, […] The post ZingHR expands into Enterprise AI with GHROWTH.ai appeared first on Express Computer .
Score: 36🌐 MovesJun 25, 2026https://www.expresscomputer.in/news/zinghr-expands-into-enterprise-ai-with-ghrowth-ai/136274/ - How To Use the Jasper + Asana Integration: Move Marketing Content From Draft to Done
Send drafted content straight from Jasper into Asana—automating task creation and coordination for smoother marketing workflows.
- India Inc seeks AI talent to deploy and scale business workflows: Report
Employers in India are now seeking deployment of artificial intelligence in governance and scaling up workflow, reflecting a shift in the hiring trend of AI talent from experimentation to execution, a report said. Hiring demand has shifted decisively from AI experimentation to implementation, with employers increasingly seeking professionals who can deploy, manage, integrate and scale AI solutions across core business operations, according to staffing and workforce solutions company Quess Corp's 'India AI Workforce Analysis 2026' report. The report, based on secondary data and 3.5 lakh job postings, found that India has around 9,20,000 AI professionals. Of them, 2,57,000 are in core AI roles and 6,63,000 in AI-embedded roles. The report found differences in job descriptions. Global capability centres (GCCs) are hiring for reusable internal AI platforms, enterprise integration and governance, while IT services firms are recruiting to deliver AI across client programmes. Enterprises
- Tenstorrent CEO on Next Leg of AI Tech, Deal Interest
Tenstorrent CEO Jim Keller discusses AI buildout and what’s next for chips. He speaks with Romaine Bostick and Katie Greifeld on “The Close.” (Source: Bloomberg)
Score: 36🌐 MovesJun 25, 2026https://www.bloomberg.com/news/videos/2026-06-25/tenstorrent-ceo-on-next-leg-of-ai-tech-deal-interest-video - AI Evaluation Simplified: Automate Dataset & Metric Eval Workflows with Test Suites
You shipped an agent. It worked in the demo. In production, a user phrased a question differently than you expected and the agent fell apart. AI evaluation is supposed to catch that issue before your users do, but the standard workflow asks you to build a reference dataset, hand-pick metrics, write LLM-as-a-judge prompts for each […] The post AI Evaluation Simplified: Automate Dataset & Metric Eval Workflows with Test Suites appeared first on Comet .
- Discover why Atlassian customers win in the AI service era
Discover why Atlassian customers win in the AI service era Atlassian Community
- An LLM as arbiter in RAG retrieval: picking the right candidate with reasons
Enterprise Document Intelligence [Vol.1 #7C] - One LLM call ranks the candidates with reasons. The output is one typed object your auditor can defend The post An LLM as arbiter in RAG retrieval: picking the right candidate with reasons appeared first on Towards Data Science .
- Law firms look for clear gains from AI
Despite increased spending on legal tech, barriers to its full embrace remain
- AI-Written books Are here
Barnes & Noble’s CEO says AI -written books may already be on the shelves. HarperCollins and Harlequin have both signed AI deals. But with 53% of Americans worried that AI threatens human creativity, who is this actually for?
- Banks now want intelligent ATM networks, not just uptime: CMS Info Systems CIO
Banks now want intelligent ATM networks, not just uptime: CMS Info Systems CIO Techcircle
- The Two Investments That Helped One Fintech Company More Than Double AI Adoption
The Two Investments That Helped One Fintech Company More Than Double AI Adoption Time Magazine
- TestMu AI Launches AI-Powered Test Case Generation in Kane CLI
TestMu AI Launches AI-Powered Test Case Generation in Kane CLI Toronto Star
- Why the best agents are simpler than you think
Max Agency Podcast episode on agent simplicity.
Score: 34🌐 MovesJun 25, 2026https://blog.langchain.dev/blog/why-the-best-agents-are-simpler-than-you-think-sierra-max-agency-podcast - Green Agriculture Chain Section at the 4th CISCE: AI-Driven Innovation Across Global Agri-Food Supply Chains
Green Agriculture Chain Section at the 4th CISCE: AI-Driven Innovation Across Global Agri-Food Supply Chains The Straits Times
- The Best AI Video Generators for 2026
The Best AI Video Generators for 2026 PCMag UK
- Nextech3D.ai Reports Strong Q4 and Audited Full-Year Results +207% YoY Q4 Revenue Growth, 91% Gross Margins, +101% Sequential Revenue Growth
Nextech3D.ai Reports Strong Q4 and Audited Full-Year Results +207% YoY Q4 Revenue Growth, 91% Gross Margins, +101% Sequential Revenue Growth USA Today
- Real Estate Franchise Rehumanizes the Job with New AI Tech
Real Estate Franchise Rehumanizes the Job with New AI Tech markets.businessinsider.com
- Recovery has to keep up with AI
SPONSORED POST: Why an AI-era recovery architecture looks different, with Eon's Gonen Stein
Score: 34🌐 MovesJun 25, 2026https://www.theregister.com/ai-and-ml/2026/06/25/recovery-has-to-keep-up-with-ai/5260452 - AI can help reduce cognitive burden – and speed revenue collection
AI can help reduce cognitive burden – and speed revenue collection Healthcare IT News
Score: 33🌐 MovesJun 25, 2026https://www.healthcareitnews.com/news/how-ai-can-reduce-cognitive-burden-and-speed-revenue-collection