AI News Archive: July 13, 2026 — Part 6
Sourced from 500+ daily AI sources, scored by relevance.
- Archives to avatars: Famed historian is moved by Microsoft’s AI-powered Theodore Roosevelt at new library
With the opening of the new Theodore Roosevelt Presidential Library in Medora, N.D., earlier this month, visitors can interact with a lifelike, AI-powered avatar of Roosevelt and ask questions about his life, leadership and legacy. Read More
- What the CAIO wave signals for UK companies yet to follow suit
The Chief AI Officers who are making a real difference today look very different. They are evolving into P&L owners.
Score: 42🌐 MovesJul 13, 2026https://www.techradar.com/pro/what-the-caio-wave-signals-for-uk-companies-yet-to-follow-suit - Why China is seriously cultivating AI entertainment
China’s artificial intelligence ambitions tend to be depicted in the news as predominantly related to defence, large language models and semiconductors. But one emerging use case for AI revolves around a market projected to grow to US$441 billion by 2035: China’s entertainment market. Just last week, Chinese regulators announced policies encouraging cinemas to reinvent themselves with AI-powered experiences. Simultaneously, Chinese content creators have embraced AI to hasten content ideation,...
- UW Researchers Build AI to Calculate Carbon Footprints of Devices
Researchers at the University of Washington hope their AI tool for life cycle assessments could eventually make carbon footprint information as accessible as nutrition labels and thus inform consumer purchases.
Score: 42🌐 MovesJul 13, 2026https://www.govtech.com/education/higher-ed/uw-researchers-build-ai-to-calculate-carbon-footprints-of-devices - Google AI Mode now lets you search your chat history on Android
A nice quality-of-life improvement to Google AI Mode on Android lets you search your previous chat history.
- Ranking: Who Are the Insurance Industry’s AI Talent, Maturity Leaders?
One out of every 50 employees working at a group of 30 large insurers is an AI specialist, according to an analysis published by a benchmarking firm, which ranks Allianz, AXA and Chubb as AI talent leaders. For London-based Evident, …
- Japan's soaring AI stocks push smaller firms out of Topix index
Japan's soaring AI stocks push smaller firms out of Topix index Nikkei Asia
- ChatGPT’s Upgraded Voice Mode Captures the Imperfections of Real Conversations
The OpenAI chatbot now speaks and converses a lot more like a real person
- Despite the growth of some AI schools like Alpha, research doesn't show that AI tutors are better than human teachers
Over the past decade, the AI-focused, for-profit Alpha School has grown from one campus in Austin, Texas, to more than 15 schools across the country, including in major cities like New York and San Francisco.
- From AI tools to AI teammates: The agentic shift at work
By Dr. Pavankumar Gurazada, Associate Director – AI/Data Science, Great Learning AI is no longer just a tool that responds to prompts. It is becoming a teammate that can plan, […] The post From AI tools to AI teammates: The agentic shift at work appeared first on Express Computer .
Score: 41🌐 MovesJul 13, 2026https://www.expresscomputer.in/guest-blogs/from-ai-tools-to-ai-teammates-the-agentic-shift-at-work/136772/ - Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations
Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations MarkTechPost
Score: 41🌐 MovesJul 13, 2026https://www.marktechpost.com/2026/07/13/prime-intellect-releases-verifiers-v1/ - Study: The National AI Policy Landscape in K–12 Education
A snapshot of where districts stand on AI and what it reveals.
Score: 41🌐 MovesJul 13, 2026https://edsurge.com/news/study-the-national-ai-policy-landscape-in-k-12-education - Sam Altman’s space data center trash talk is what most experts already believe
Responding to Musk accusing him of being a scammer, Altman said, "homeboy you're the one sellling [sic] public market investors on short-term space datacenters."
Score: 40🌐 MovesJul 13, 2026https://techcrunch.com/2026/07/13/sam-altmans-space-data-center-trash-talk-is-what-most-experts-already-believe/ - FOD#158: If We Must Act Now on AI – What Actually Should We Do?
More than 200 economists, AI researchers, and technology leaders say society needs new institutions before AI transforms the economy. Here is one possible blueprint
Score: 40🌐 MovesJul 13, 2026https://www.turingpost.com/p/if-we-must-act-now-on-ai-what-actually-should-we-do - Mulling AI investment, Anthropic lobbied Australia on copyright law
Anthropic's chief executive, Dario Amodei, has lobbied Australian officials for "copyright reform" as the artificial intelligence giant seeks to make a major investment in the country, official briefing notes released Monday show.
Score: 40🌐 MovesJul 13, 2026https://techxplore.com/news/2026-07-mulling-ai-investment-anthropic-lobbied.html - Tencent WorkBuddy Beginner Guide: A Local AI Agent Tailored for Chinese Users That Actually Does Your Work
Tencent launches WorkBuddy, a local AI coding agent built on CodeBuddy with Hunyuan Hy3 model, integrating WeChat for file management, automation, and task execution.
- IBM Bob Gets Multi-Agent Muscle and a Cost Dashboard for Enterprise Coding
IBM Bob Gets Multi-Agent Muscle and a Cost Dashboard for Enterprise Coding DevOps.com
Score: 40🌐 MovesJul 13, 2026https://devops.com/ibm-bob-gets-multi-agent-muscle-and-a-cost-dashboard-for-enterprise-coding/ - I Took a Vision Test in 90 Seconds With a Robot and Saw the Future of Vision Care
Eyebot wants to make getting a prescription for glasses as fast as ordering a coffee.
- Claude AI subscriptions now available in rupees: Check how much Pro, Max and Team plans cost in India
Indian users can now subscribe to Claude AI with local pricing in rupees. This change makes payments easier and inclusive of GST. Details of each plan rates here.
- Acer's Swift Air 14 and Swift Spin 14 AI Split the Difference Between Cheap and Capable AI Laptops
Acer's Swift Air 14 and Swift Spin 14 AI Split the Difference Between Cheap and Capable AI Laptops PCMag Middle East
- Japan voice actor fights clones with AI of his own
Japan voice actor fights clones with AI of his own Nikkei Asia
- AI voice agents and the human touch: A new playbook for SME customer engagement
Customer expectations don’t end when business hours do, which is why delivering a fast, always-on customer experience (CX) has traditionally required large call centres and significant resources. This often placed small businesses at a disadvantage, as many lacked the manpower and budget to provide 24/7 support at scale. Today, AI has completely levelled the playing field. Even small businesses now have access to powerful tools that can answer queries, resolve routine issues, and deliver highly personalised interactions around the clock. But adopting AI in customer engagement is not just a question of efficiency. For smaller businesses especially, where loyalty is often built on familiarity, trust, and personal service, the real challenge is using AI in ways that strengthen rather than dilute the human connection that customers value most. Human empathy combined with AI efficiency is a delicate blend. Done right, it ensures that every customer interaction feels personal, thoughtful, and seamless, whether the customer is engaging with a bot at 2 a.m. or a live agent during office hours. So, how can small businesses embrace always-on virtual agents without losing the human connection that defines their identity? Here’s a practical playbook to guide the transition. 1. Understand what customers want: Speed, simplicity, and empathy Before diving into AI adoption, it’s critical to understand what customers expect. Twilio’s Di g ital Patience study suggests that while speed matters, it is not the only thing that customers value. Twilio found that 46% of respondents in the Asia-Pacific and Japan region say quick service and resolution are most important, but 51% say delays are acceptable if they lead to better customer support. The study also notes that customers are open to AI, but still value human touchpoints more highly. The takeaway: AI should enhance CX, not replace it. Businesses can let natural-sounding AI voice agents handle inbound calls, regardless of peak hours or time zones. These virtual agents act as an intelligent frontline – answering common questions and qualifying leads – before seamlessly routing the conversation to a live human representative. The result? Callers get immediate answers, and the business captures every opportunity without losing the human touch. 2. Map the handover points between AI and humans One of the most common pitfalls in implementing AI is failing to clearly define when and how customers transition from bots to human agents. To avoid customer frustration, organisations must thoughtfully map out these “handover points” by designing for two key principles: choice and continuity. Designing for Choice Give customers the option to reach a human when needed. While AI is perfectly suited for routine inquiries like FAQs or order tracking, customers should never feel trapped in a bot loop. Always provide a clear, accessible option for them to choose to escalate the issue. Additionally, configure your system to proactively step in and offer a human handoff the moment it detects emotion, ambiguity, or complex steps. Designing for Continuity Effective handovers rely on technology that recognises when an issue exceeds AI’s scope. By leveraging natural language processing and intelligent routing, organisations can ensure the transition from machine to human is frictionless. Crucially, this means automatically carrying the full history and context of the interaction forward so the customer never needs to repeat themselves. Achieving this level of continuity requires a new approach to managing interaction data during handovers. Instead of passing along a raw transcript, organisations need a managed memory service that provides agents with persistent context across every conversation, channel, and session. By transforming customer preferences, unresolved issues, and intent into a structured semantic profile—one that continuously evolves and reconciles new interactions as they occur—agents can quickly understand the relationship and continue the interaction without disruption. To support truly omnichannel experiences, the system must also resolve identity automatically across touchpoints, linking interactions from phone, email, messaging apps, and other channels to a single customer profile. Equally important is the ability to surface only the information that is relevant to the task at hand. By presenting agents with a concise summary of the active issue and customer preferences, grounded in verified business knowledge such as product policies and FAQs, organisations can reduce resolution times while ensuring customers experience a seamless continuation of the conversation. 3. Don’t automate for automation’s sake AI adoption should never feel like a “set it and forget it” strategy. Instead, it should be approached as a way to solve real business problems. It starts with asking questions like: What are the most time-consuming tasks for the team? What frustrates customers the most? For instance, a restaurant might automate table reservations and menu queries, while a small online retailer could deploy AI to handle order status updates or product recommendations. These targeted use cases ensure that AI adds tangible value without overwhelming operations. Take the example of Driva , a fast-growing online finance broker that deployed AI-powered customer service tools to answer routine enquiries and provide immediate assistance while customers wait in the call queue. By automating common interactions, Driva reduced the volume of requests requiring human intervention and achieved a 5% uplift in conversion rates at key points in the customer journey. 4. Invest in AI that connects While consumers embrace automation, research shows they still draw comfort from the warmth of a human voice. To make your virtual agents feel less robotic and more like an extension of your team, look for tools that: Deliver human-like voice AI experiences at scale through natural turn-taking and barge-in capabilities. Connect interactions across voice, messaging, and digital channels into a single thread so every exchange builds on the last. Leverage Natural Language Processing (NLP) that enables conversational systems to interpret context, mimic human tone, and even recognise sentiment. Place orchestration at the heart of the experience. An effective orchestration engine acts as the “conductor,” actively coordinating workflows and routing interactions so the right resource—whether an AI bot or a human—handles the right moment. When AI bots, automated workflows, and human teams are seamlessly coordinated behind the scenes, the customer simply experiences one unbroken, dynamic dialogue. For small enterprises, this means delivering sophisticated experiences that effortlessly bridge the gap between automation and live support, even at scale. 5. Empower teams with real-time context AI is not about replacing human workers; it’s here to make jobs easier. However, for teams to fully embrace this new dynamic, organisations must shift their focus from retrospective performance reviews to real-time agent assistance. By feeding agents context as the conversation happens, businesses ensure that every interaction never starts from scratch. Leveraging Conversational Intelligence: Use a real-time intelligence layer that turns live conversations into signals and actions. By analysing voice and messaging with generative AI Language Operators, businesses can understand intent, sentiment, and churn risk instantly, allowing human and AI agents to act in the moment with the right response or escalation. In-the-Moment Guidance: Give agents instant context and in-the-moment guidance during every interaction. Surfacing relevant customer history, next-best action suggestions, and summaries in real time allows agents to resolve issues faster without switching tools. Resolving Complex Customer Needs: AI can handle routine enquiries with low latency, but human agents still excel at nuanced problem-solving. With AI feeding them persistent customer memory and sentiment analysis in real time, human agents can skip the repetitive questions and immediately focus on resolving complex issues, rescuing deals, or preventing churn. When employees are equipped with real-time customer data and voice-driven insights, SMEs empower their teams to stop reacting to problems and start responding to customers proactively. Consider global AI platform Genspark , which leverages a Programmable Voice API for its “Call for Me” agent to handle complex outbound tasks like checking supplier pricing or booking international hotels. The AI can conduct real-time, natural conversations across different languages on the user’s behalf, seamlessly navigating the live interactions before delivering a structured summary. Because these natural voice experiences depend entirely on speed and consistency, the underlying infrastructure provides the critical sub-second latency necessary to keep every automated call clear and uninterrupted. 6. Maintain transparency with customers Finally, a successful AI implementation requires transparency. Customers should always know when they’re communicating with a bot and when they’ve been handed over to a human. AI-powered interactions must offer clarity by providing transparency about when and how AI is used and explaining next steps in plain language. Transparency builds trust. Small businesses can go a step further by soliciting customer feedback on their AI interactions and using this input to fine-tune their systems. For small enterprises, the AI-to-human handover isn’t about choosing between humans and machines; it’s about combining the strengths of both to create exceptional customer experiences. AI can provide the speed and efficiency customers expect, while humans deliver the empathy and creativity they value. By strategically defining handover points, investing in human-like AI, and empowering agents to work alongside technology, organisations can build a CX strategy that’s as scalable as it is personal. This blended approach ensures that every interaction – whether managed by a bot or a human – is thoughtful, natural, and distinctly on-brand. To learn more about Twilio, visit here .
- What building Shippy taught us about building agents
Building Shippy taught us that reliable agents depend less on the model itself than on deterministic tools, explicit guardrails, isolated infrastructure, and evaluations grounded in real-world workflows and live data.
- OpEd: SA will be too slow to steer global AI regulation
Global diplomacy understands that if you are dealing with AI, you can't move at pre-AI speed, which is terrible news for South Africa.
Score: 40🌐 MovesJul 13, 2026https://www.itweb.co.za/article/oped-sa-will-be-too-slow-to-steer-global-ai-regulation/KzQenMjyXax7Zd2r - Confused about your PC specs or hardware? Windows 11's Copilot app is getting new powers to help you 'understand your device'
Copilot app's new 'PC insights' feature has been greeted with some skepticism.
- This floating AI robot looks like it escaped a Studio Ghibli film, and that’s exactly the point
Researchers have unveiled a floating AI robot inspired by Studio Ghibli that glides silently through the air, offering a safer and more approachable vision for future AI companions.
- AI Adoption Is Testing Modular Firms
Modularity has helped firms manage complexity. But to stay competitive, they will need to be able to rapidly reconfigure their existing capabilities.
- TV-logging app TV Time is functionally relaunching as parent company pivots to AI
Bingers is expected to launch by the end of July as a replacement for TV Time.
Score: 39🌐 MovesJul 13, 2026https://www.engadget.com/2213944/tv-time-is-relaunching-as-its-parent-company-pivots-to-ai/ - Young people are interested in autonomous vehicles. Adults aren’t so sure
Young people are interested in autonomous vehicles. Adults aren’t so sure Automotive News
Score: 39🌐 MovesJul 13, 2026https://www.autonews.com/technology/an-autonomous-vehicles-confidence-teen-driving-0713/ - New platform pits Claude, Chat GPT, and Grok against each other
A new benchmark platform compares performance of Claude, ChatGPT, and Grok on various AI tasks.
Score: 39🌐 MovesJul 13, 2026https://ioplus.nl/en/posts/new-platform-pits-claude-chat-gpt-and-grok-against-each-other - Your AI agent shouldn’t know everything – it should know who to ask
Intro Consumers across APJ are getting more impatient. They expect brands to resolve their issues in just 24 minutes on average. If the brand is unsuccessful, 34% say they’ll switch channels to find a faster path to resolution, and 30% say they’ll abandon the effort altogether. Most leaders reading this insight would respond by improving agent response times, but speed isn’t the problem. The crux is that consumers want a solution, not to wait less. Unfortunately, the AI that most brands have deployed are chatbots who try to handle everything (and then fail). What we’re seeing is the opposite. The most productive agents aren’t generalists, but specialists who excel at one thing and know when to hand off when they can’t handle something. This intelligent orchestration is a superpower. The cost of sending customers in circles 90% of business leaders believe their customers are satisfied with conversational AI, but only 59% of consumers agree. 54% of consumers say AI agents rarely or never have context about them as a customer. 78% say it’s important to be able to switch from an AI agent to a human, yet only 15% report experiencing seamless handoffs. Most escalations involve lost context, repeated explanations, and restarted conversations. Every misroute doesn’t just waste one interaction—it triggers a cascade. The customer calls back, a second agent asks the same questions, trust erodes, and the next interaction starts from a deficit. It’s no wonder that 42% of consumers say AI makes them less patient, not more. 41% are satisfied with how brands currently use AI. For customer service teams, the real challenge is routing, not tech. What self-service really needs Brands need four capabilities for self-service AI agents to work. 1. Agency: Specialised agents that can handle defined tasks with precision and don’t attempt everything and resolve nothing. 2. Always-on monitoring: The system must monitor interaction quality in real time and catch failures before they compound into callbacks. 3. Real-time contextual data: Agents must have a unified view of the customer, including history, intent, and recent interactions. 4. Intelligent routing: The system must accurately decide in the moment whether a task stays with AI, moves to a specialist, or escalates to a human with full context. Of these four, routing is the most underinvested and the one that determines whether the other three deliver value. Routing is the intelligence layer Think of routing not as plumbing but as decision-making. A well-designed system evaluates task complexity, required skills, customer history, sentiment, and more before matching it to the right resource. For example, a complex billing dispute will be routed to a senior billing specialist, not the next available generalist. A routing appointment request stays with the AI agent that can solve it in seconds. When the AI encounters an edge case it can’t handle, the routing layer transfers the task, along with full context, so the next agent can pick up where the AI left off. Twilio’s own research confirms this. 42% of consumers prefer starting with a human agent, even if it takes longer, while 23% are comfortable starting with AI and escalating when needed. Both paths demand routing intelligence. The AI-first customer needs seamless escalation, and the human-first customer needs to reach the right human immediately. Neither can afford a misroute. When resolution compounds Every issue resolved on first contact is one fewer repeat call in the queue. Fewer repeat calls mean shorter wait times for everyone. This compounding effect extends to agent capacity. When routing works, human agents are freed from solving issues that should have been addressed the first time. They spend their time on complex, high-value interactions instead. This is what 72% of consumers are signaling when they say they’d choose AI over a human if the issue was guaranteed to be solved faster. 46% of consumers say quick service and resolution are their top priorities, and 51% say delays are acceptable if they lead to better customer support. Patience is available but only when the brands earn it by sending customers to the right place the first time. The brands that treat routing as an afterthought will keep optimising for speed and see their customers quietly leave. Those who optimise for resolution will build trust that compounds with every interaction. To learn more about Twilio, visit here .
Score: 39🌐 MovesJul 13, 2026https://www.cio.com/article/4194925/your-ai-agent-shouldnt-know-everything-it-should-know-who-to-ask.html - Claude Code browser 🌍, Cursor general agent 🤖, Claude Fable extension ⏳
Claude Code browser 🌍, Cursor general agent 🤖, Claude Fable extension ⏳
- AI-Fueled Rally to Continue Into 2027, Analyst Luria Says
Gil Luria, D.A. Davidson technology and research head, says the fundamentals are still looking good for semiconductor and AI-related stocks. He speaks on "Bloomberg The Close." (Source: Bloomberg)
Score: 39🌐 MovesJul 13, 2026https://www.bloomberg.com/news/videos/2026-07-13/ai-stock-rally-to-continue-into-2027-analyst-luria-says-video - Agnes AI launches Agnes-2.5-Flash, teases flagship Pro model, and debuts Agnes Code desktop app
Agnes AI has officially launched Agnes-2.5-Flash, the latest version of its text model, alongside Agnes Code, a new desktop application that brings the company’s AI capabilities directly into developers’ local coding environments. Alongside the launch, the company gave a first preview of Agnes-2.5-Pro, its upcoming flagship model, expected to arrive in the coming weeks. The […] The post Agnes AI launches Agnes-2.5-Flash, teases flagship Pro model, and debuts Agnes Code desktop app appeared first on e27 .
- ET Most Innovative AI Product Awards 2026: Why AI platforms, infrastructure and developer tools are critical to Enterprise AI success
ET Most Innovative AI Product Awards 2026 brings the technology behind successful AI products into focus. As enterprise AI adoption accelerates, AI platforms, infrastructure, developer tools, cybersecurity and responsible AI are becoming key to how products perform, scale and earn business trust. What AI innovations win out may be determined by the invisible products users never see.
- Asian tech firms seeking to follow SK Hynix may find foreign investors more selective
Asian tech firms seeking to follow SK Hynix may find foreign investors more selective Reuters
- Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks
Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks MarkTechPost
- Teachers are worried about students cheating with AI, but my survey suggests the deeper issue is learning
The risk of students using AI to cheat tends to get a lot of attention—with good reason.
- SREs to AI agents: Prove yourself before you touch production
SPONSORED FEATURE: 696 experts find co-pilot welcome, autopilot not so much
- After the click: Turning AI-referred shoppers into loyal customers
AI that truly assists creates loyalty. Without it, stores are discovered but quickly forgotten.
Score: 38🌐 MovesJul 13, 2026https://www.retaildive.com/spons/after-the-click-turning-ai-referred-shoppers-into-loyal-customers/824663/ - CASA Software brings AI-powered data transformation to SA market
Automic Automation by Broadcom helps companies co-ordinate IT workloads, applications and business processes across on-premises, hybrid and multicloud environments.
- All in on AI – too soon?
We spotlight the VCs investing in - and embracing - AI in Southeast Asia, plus everything you need to know about OpenAI’s newest frontier model.
- Batter up, bias down: Robot umpires curb favoritism for star hitters
When South Korea's professional baseball league introduced "robot umpire" ball-and-strike calls in 2024, famous batters appeared to lose an edge—but star pitchers did not.
- New WiBiz Analysis Reveals Why AI Automation Fails After Launch
New WiBiz Analysis Reveals Why AI Automation Fails After Launch azcentral.com and The Arizona Republic
- The Best Leaders Aren’t Replacing Employees With AI, They’re Empowering Them
The future of work belongs to leaders who empower people.
- Developers are scrambling to keep up with AI. They're turning to Buildkite.
Buildkite is a CI developers can love, with a hybrid approach that gives a front seat to the increased velocity of software development in 2026.
- 🎙️ How I AI: GPT-5.6 review, How a solo builder runs 24/7 local AI, and What an agent harness is and how to build one
Your weekly listens from How I AI, part of the Lenny’s Podcast Network
- Palantir Co-Founder Joe Lonsdale on the AI Investment Boom
AI is fueling a new era of venture investing. Joe Lonsdale, managing partner at 8VC and co-founder of Palantir, discusses the firm's record $1.5 billion fund, why startup rounds are getting bigger, and where he's placing his bets on the next generation of defense tech and AI companies. He joins Ed Ludlow on "Bloomberg Tech." (Source: Bloomberg)
Score: 37🌐 MovesJul 13, 2026https://www.bloomberg.com/news/videos/2026-07-13/palantir-co-founder-lonsdale-on-the-ai-investment-boom-video - How AI Tools Are Changing Product Development in Modern Business
AI-assisted tools are compressing the time between idea and launch, which means the competitive advantage is moving away from raw execution and toward product judgment, visual identity, and built-in social behavior. In the modern landscape, when a consumer product gets hundreds of thousands of people in a matter of weeks, the result is usually chalked […]
- Did Meta Signal The AI Boom Is Overbuilt? Wall Street Cheered Anyway
Meta’s $50 Billion Data Center Raises AI Overbuild Questions