AI News Archive: July 3, 2026 — Part 2
Sourced from 500+ daily AI sources, scored by relevance.
- China quant funds draw billions as AI trounces human traders
China quant funds draw billions as AI trounces human traders The Straits Times
- China's Domestic AI Compute Revolution Reaches a Tipping Point
China's domestic AI compute industry hits a turning point as ByteDance, Alibaba, and Baidu pivot to domestic chips, with domestic GPU share rising to 41% of new deployments.
Score: 78🌐 MovesJul 3, 2026https://pandaily.com/china-domestic-ai-compute-revolution-tipping-point-jul2026 - Proprietary vs open-weight AI: Inside the battle shaping the future of AI
Proprietary and open-weight AI represent two competing approaches to building and commercialising artificial intelligence. Here's how they differ in technology, deployment, costs and business strategy
- AI Browsers Can Basically Be Hypnotized Into Turning Against Their User and Carrying Out Devastating Hacks
The AI is brainwashed into believing a false reality. The post AI Browsers Can Basically Be Hypnotized Into Turning Against Their User and Carrying Out Devastating Hacks appeared first on Futurism .
- HCL Tech announces $1.14 billion AI partnership with European firm
Sources familiar with the matter told ET that the client is Mercedes-Benz, with HCLTech beating out Infosys, which was the incumbent vendor for the account. This comes as enterprises increasingly consolidate vendors, with tech spending budgets tightening amid tough macroeconomic and geopolitical conditions.
- GCC AI startup 1001 raises $30 million to power critical infrastructure
GCC AI startup 1001 raises $30 million to power critical infrastructure Gulf News
- UK's AI Security Institute finds standard benchmarks systematically underestimate what AI agents can actually do
In a study covering seven benchmarks, the UK's AI Security Institute shows that standard AI evaluations systematically underestimate agent capabilities by capping the compute budget. On software engineering tasks, success rates jumped about 25 percent when the token budget was increased tenfold. Newer models benefit the most. Depending on the token budget, actual progress at the frontier is about 60 percent steeper than previous measurements suggested, according to AISI. The article UK's AI Security Institute finds standard benchmarks systematically underestimate what AI agents can actually do appeared first on The Decoder .
- Unitree wins Shanghai IPO approval, eyes $619m
Unitree plans to raise about 4.2 billion yuan (US$618.6 million) by selling at least 40.4 million shares.
Score: 77💰 MoneyJul 3, 2026https://www.techinasia.com/chinas-unitree-unveils-lifelike-robot-with-human-face - Microsoft launches AI engineering company
Microsoft launches AI engineering company InfoWorld
Score: 76🌐 MovesJul 3, 2026https://www.infoworld.com/article/4192524/microsoft-launches-ai-engineering-company.html - Amazon is designing its own AI chips for Echo and Fire TV — and hints at on-the-go devices
Hardware chief Panos Panay says Amazon builds end-to-end silicon for its most critical devices and hints a portable AI gadget is coming soon
- Skymantics Wins $9.1M IRS Contract to Expand AI-Powered Synthetic Data Engine
Skymantics Wins $9.1M IRS Contract to Expand AI-Powered Synthetic Data Engine USA Today
- Tech Giants Flood Into Embodied Intelligence as the Battle Heats Up
Li Auto, Alibaba, ByteDance, and more join the embodied intelligence race, with Morgan Stanley projecting 2.8 million humanoid robot sales in China by 2026
Score: 76🌐 MovesJul 3, 2026https://pandaily.com/tech-giants-embodied-intelligence-battle-heats-up-jul2026 - TwelveLabs raises $100 mn in Series B funding
TwelveLabs raises $100 mn in Series B funding 매일경제
- SA eyes AI-driven healthcare transformation
Government plans AI-powered disease management, alongside investment in sovereign cloud and digital infrastructure.
Score: 75🌐 MovesJul 3, 2026https://www.itweb.co.za/article/sa-eyes-ai-driven-healthcare-transformation/rW1xL75n1RlMRk6m - Vertiv Opens Massive Malaysia Factory to Fuel Asia’s AI Infrastructure Boom
Vertiv announced the opening of its manufacturing facility in Johor, Malaysia, expanding the company’s manufacturing footprint to support growing demand for AI and high-density computing infrastructure across Asia, including Southeast Asia, North Asia, Australia, and New Zealand. Strategically located in one of Southeast Asia’s fastest-growing industrial markets, the facility strengthens Vertiv’s ability to support customers […] The post Vertiv Opens Massive Malaysia Factory to Fuel Asia’s AI Infrastructure Boom appeared first on CXOToday.com .
- 😸 OpenAI may give Uncle Sam 5%
PLUS: The AI product everyone actually wants
- South Korea Bets on Chips and AI in Sweeping Industrial Push
South Korea Bets on Chips and AI in Sweeping Industrial Push Caixin Global
- Claude Code's complicated China problem involves bans on both sides of the Pacific
Anthropic is trying to block Chinese companies like ByteDance and Ant Financial from accessing Claude Code, but they're getting around the restrictions through VPNs and overseas subsidiaries. Alibaba, meanwhile, has banned its own employees from using the tool after hidden code was found that could identify Chinese users. The article Claude Code's complicated China problem involves bans on both sides of the Pacific appeared first on The Decoder .
Score: 74🌐 MovesJul 3, 2026https://the-decoder.com/claude-codes-complicated-china-problem-involves-bans-on-both-sides-of-the-pacific/ - Meta Watermelon 🍉, Anthropic Samsung chips 🤝, autoresearch in practice 📈
Meta Watermelon 🍉, Anthropic Samsung chips 🤝, autoresearch in practice 📈
- AI’s Volatile Power Use Quietly Tests Grid Limits
Why the electrical grid is struggling to support not just scale, but pattern of demand
- AI Data Centers Use Far More Water Than Most Tech Giants Report
Water used at the power plants that supply electricity to data centers can be much greater than the water used in the data centers themselves.
Score: 73🌐 MovesJul 3, 2026https://www.wsj.com/tech/ai/ai-data-centers-water-use-901e2902?mod=rss_Technology - Probabl raises €13M in seed funding to build Europe’s open source AI champion
Probabl, a mission driven company born out of Inria’s P16 project and exclusive operator of scikit-learn, the world’s most widely used machine learning library (over 2.5 billion downloads), announces a €13 million seed round, co-led by Serena and Capital Fund Management, with renewed support from Mozilla Ventures and French Tech Souveraineté, itself operated by Bpifrance as part of the France 2030 investment plan. This brings Probabl’s total seed funding to €18.5 million, making it the largest seed round in Europe for a Commercial Open Source Software (COSS) company.
Score: 72💰 MoneyJul 3, 2026https://www.inria.fr/en/probabl-software-open-source-artificial-intelligence - Oxford researchers join landmark UK Initiative to build next-generation open-source AI
Oxford researchers join landmark UK Initiative to build next-generation open-source AI Oxford Department of Computer Science
- Amazon Is Spewing a Record Breaking Amount of Pollution to Power Its AI Data Centers
The company once pledged to reach net-zero carbon emissions by 2040. The post Amazon Is Spewing a Record Breaking Amount of Pollution to Power Its AI Data Centers appeared first on Futurism .
Score: 72🌐 MovesJul 3, 2026https://futurism.com/science-energy/amazon-spewing-record-carbon-emissions-ai-data-centers - Ant Group and HKUST(GZ) Propose Skill-MAS, Turning Multi-Agent Orchestration into Evolvable Meta-Skills
Ant Group and HKUST(GZ) introduce Skill-MAS, a framework that evolves multi-agent system design experience into reusable meta-skills, validated on DeepSeek-V4-Flash and other models.
Score: 72🌐 MovesJul 3, 2026https://pandaily.com/ant-group-hkust-skill-mas-multi-agent-meta-skills-jul2026 - Africa holds a quarter of the world’s critical minerals powering AI and clean energy, but less than 10% of mining projects are moving ahead
Africa holds a quarter of the world’s critical minerals powering AI and clean energy, but less than 10% of mining projects are moving ahead Business Insider Africa
- SAP wants workers to create new AI-powered jobs, slashes travel and expenses budgets to up AI spend
SAP is cutting unnecessary spend and refocusing its hiring efforts on AI roles amid broader software longevity concerns.
- Microsoft follows Anthropic and OpenAI into the AI super app race with overhauled Copilot and AutoPilot agents
Microsoft reportedly plans to merge its consumer and enterprise Copilot apps into a single app in August. Rarely used features like Copilot Podcasts are getting cut, and new AI agents called "AutoPilot" will handle tasks in the background for an extra fee. The article Microsoft follows Anthropic and OpenAI into the AI super app race with overhauled Copilot and AutoPilot agents appeared first on The Decoder .
- Cloudflare Allows the Agentic Internet to Flourish with a Simple Philosophy: Your Content, Your Rules
Cloudflare, Inc. announced today new classifications, enhanced analytics, and industry-defining commercial partnerships that bring together site owners and transparent AI companies so that the agentic Internet can flourish. Cloudflare’s new tools and integrations help site owners and AI companies optimize for discoverability, efficiency, and monetization. By establishing these new rails, Cloudflare is helping provide the […] The post Cloudflare Allows the Agentic Internet to Flourish with a Simple Philosophy: Your Content, Your Rules appeared first on CXOToday.com .
- Altman invites Washington inside the AI industry
PLUS: Delegate team tasks to Claude inside Slack
Score: 71🌐 MovesJul 3, 2026https://www.therundown.ai/p/altman-invites-washington-inside-the-ai-industry - Hidden LLM Backdoors Could Detonate At Massive Scale
AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security gap creates the next major investment category.
Score: 71🌐 MovesJul 3, 2026https://www.forbes.com/sites/josipamajic/2026/07/03/hidden-llm-backdoors-could-detonate-at-massive-scale/ - This generator builder catering to AI went public a month ago. Why analysts see big gains
The rise of AI and data centers is creating a large demand for energy, and many firms on Wall Street believe this company can capitalize on the trend.
Score: 70💰 MoneyJul 3, 2026https://www.cnbc.com/2026/07/03/analysts-see-big-gains-for-this-generator-builder-catering-to-ai.html - Insilico Medicine shines at International Executive Summit, sharing the journey from tech innovation to clinical validation in AI drug discovery
Insilico Medicine shines at International Executive Summit, sharing the journey from tech innovation to clinical validation in AI drug discovery EurekAlert!
- How to Make AI Data Centers More Sustainable
How to Make AI Data Centers More Sustainable Time Magazine
Score: 70🌐 MovesJul 3, 2026https://time.com/article/2026/07/03/how-to-make-ai-data-centers-more-sustainable/ - A new technology teaching drones to feel pain could stop your self-driving car from harming itself
The same real-time early warning signals that prevent drones from losing control could one day tell your self-driving car that something is about to go wrong.
- Cognizant, Domyn partner to offer sovereign AI in EMEA
Cognizant, Domyn partner to offer sovereign AI in EMEA verdict.co.uk
- Kelidian Technology Develops Elderly Care Transfer Robots with Tsinghua, CAS, and West China Hospital
Shenzhen-based startup Kelidian Technology completes strategic financing for AI-powered elderly companion and rehabilitation transfer robots targeting home care
Score: 70🌐 MovesJul 3, 2026https://pandaily.com/kelidian-elderly-care-transfer-robot-tsinghua-cas-jul2026 - China’s Domestic AI in the First Half of 2026: From Compute Substitution to Training Closure
Meituan’s LongCat-2.0, trained entirely on domestic chips, marks a milestone as China’s AI ecosystem achieves full training closure on homegrown infrastructure
Score: 70🌐 MovesJul 3, 2026https://pandaily.com/china-domestic-ai-first-half-2026-compute-substitution-training-closure-jul2026 - Mukesh Ambani, Mittals join global AI panel led by ITU, Salesforce
The aim of the panel is to strengthen trust in the technology and accelerate its use in addressing global challenges
- ‘Don’t kill music’: Anthony Albanese’s favourite bands beg PM to stop AI companies from stealing their work
A potential deal with the government would allow international tech companies to mine the creative work of Australian musicians. Some of the prime minister’s favourite artists told the Guardian how they feel about it Creatives sound alarm on copyright as Pocock calls $50bn datacentre proposal ‘ultimate dirty deal’ Big tech companies are asking for Australian copyright laws to be watered down, to allow them to scrape Australian output – including journalism, music and books – in order to improve their AI models. Guardian Australia this week reported on an industry proposal under which companies would commit more than $50bn in investment in datacentres and set up a $350m fund to compensate creatives in exchange for weaker copyright laws. Senator David Pocock has described it as the “ultimate dirty deal” . The Albanese government has insisted it has no plans to weaken copyright protections, after ruling out the potential text and data mining exemption last year – but creatives are sounding the alarm. Loudest among them this week are musicians, some of whom discovered last month that their work was already being scraped . Albanese is known for his love of Australian music. Guardian Australia spoke to some of his favourite bands to hear what they had to say to him. Continue reading...
- A top Goldman Sachs economist says AI will displace the jobs of 15 million US workers
A top Goldman Sachs economist says AI will displace the jobs of 15 million US workers Business Insider
Score: 70🌐 MovesJul 3, 2026https://www.businessinsider.com/goldman-sachs-economist-predicts-ai-displacing-15-million-jobs-2026-7 - Starling Bank to cut 130 jobs and boost investment in AI to reduce costs
The London-based fintech says restructuring is necessary to reduce ‘duplicate’ roles Business live – latest updates Starling Bank has said it will cut more than 100 jobs as it invests more heavily in artificial intelligence to push down costs. The digital-only bank told staff that 3% of its workforce, or 130 jobs, would be made redundant, as part of a restructuring of its banking and tech operations. Continue reading...
Score: 70🌐 MovesJul 3, 2026https://www.theguardian.com/business/2026/jul/03/starling-bank-cuts-130-jobs-boosts-ai-investment - Qwen3.5-0.8B
Qwen3.5-0.8B Qualcomm AI Hub
- Free AI courses for 60k accounting, finance professionals in S’pore under national push to uplift the sector
Free AI courses for 60k accounting, finance professionals in S’pore under national push to uplift the sector The Straits Times
- Enterprises lost Claude Fable 5 for a few weeks. New data shows two-thirds had already built their hedge
Two-thirds of enterprises have hedged their AI model strategy, and the past few weeks of controversy around Anthropic’s Claude Fable 5 model showed why that posture has gone mainstream. On June 12, a U.S. export-control order pulled Anthropic's Claude Fable 5 — the most capable model on the market — offline for every customer, with no warning and no timeline. It returned this week wrapped in tighter safeguards , after China's Z.ai released its open-weights GLM-5.2 into the vacuum . New VentureBeat Pulse Research, which surveyed 145 enterprises across these last few weeks, shows that two-thirds had already hedged their model strategy before the order came down: 51% blend closed frontier models with open-weight models deployed on their own infrastructure, and another 16% are moving core workflows off closed APIs entirely. The remaining third was all-in on closed ecosystems when the lights went out. The blackout put a spotlight on vendor dependency, by showing what happens when the model you rely on disappears. But vendor dependency is only the most visible piece of a deeper problem: Most enterprises lack the monitoring to know when an AI system they've put into production stops working correctly. Just 1 in 10 enterprises has automated monitoring that would catch an AI model drifting, misbehaving, or failing in production. Roughly a quarter would learn of a production failure only when end users — internal or external — report it, or lack the visibility to detect it at all. And 79% of enterprise organizations have already taken a real financial or operational hit from autonomous agents — most often shadow AI, unauthorized agentic work run by enterprises' own employees on corporate credit cards, outside anyone's oversight. We call this the “Control Gap,” or the distance between how aggressively enterprises are deploying AI and how little of it they can see, own, or govern. June’s blackout turned this into a live stress test. About this data: VentureBeat Pulse Research surveyed 145 qualified respondents at organizations with 100 or more employees in June 2026, with fielding spanning the Fable 5 blackout that began June 12. The sample is self-selected and directional: 41% work in technology/software, 20% are consultants or advisors, and the respondent base skews senior and technical — CIO/CTO/CISOs (18%), directors of engineering/IT (14%), enterprise architects (12%). More than half of the respondents were from companies with 2,500 employees or more. While our sample is not huge, what you can trust more than the exact percentages is the pattern: Every question in the survey, independently, points the same way, with deployment running ahead of governance, visibility, and cost control. The full methodology is in the report . How the Fable 5 export order rewrote enterprise AI risk Fable 5 launched June 9 to immediate acclaim — and sticker shock, at $10 per million input tokens and $50 per million output. Three days later, the U.S. government issued an emergency export-control directive barring access by foreign nationals. Anthropic, with no way to verify nationality in real time, suspended the model for everyone. Z.ai has continued to pick up momentum; on Wednesday it released an open agentic coding environment, called Zcode . OpenAI, meanwhile, previewed its cutting-edge GPT-5.6 line on June 26. Enterprises had already spent the spring learning what AI dependence costs in dollars. Uber burned through its entire 2026 AI coding budget in four months after Claude Code adoption hit 84% of its roughly 5,000 engineers, Forbes reported. Microsoft canceled most internal Claude Code licenses in its Windows and Microsoft 365 division, steering engineers to its own tooling, according to The Verge. June added the harder lesson: The model your workflows depend on can vanish overnight, by government order, through no decision of yours or your vendor's. And Chinese companies like DeepSeek were releasing hugely disruptive, powerful models , driving down costs to a fraction of Western ones. Brian Craig, senior director of architecture at Liberty IT, the Ireland-based engineering arm of Liberty Mutual, one of the world’s largest insurance companies, saw both lessons collide in real time. Craig is Irish, which meant the export order hit him directly as a foreign-national user. Onstage at VentureBeat's AI Impact event in New York on June 24, mid-blackout, I asked him about it. "Fable arrived, and immediately you saw the sticker price of using it, and you went, 'Ooh, goodness, it better be really good,'" Craig said. "But luckily enough, we didn’t get to use it enough to get to fall in love with it." Then it was gone. The hedge was already built before the blackout hit Craig's company was built to route around exactly this kind of disruption. Liberty IT runs what it calls an AI backbone — roughly 50 components spanning security, governance, observability, and orchestration, each independently replaceable. "You can't lock in right now in one vendor and even one framework," Craig told the room. "You need to keep being able to have the flexibility with that backbone to be able to hook into different models, different vendors, depending not so much on who's the flavor of the day, but on what you can feel confident about for the next six months." The survey shows Craig has plenty of company. A 51% majority of enterprises run a hybrid posture — closed frontier models for general reasoning, open-weight models deployed locally for specialized execution — and 16% are making a hard pivot, moving core workflows onto open weights running on their own hybrid or private cloud. The 32% holding a closed commitment are candid about why: The operational overhead of self-hosting still outweighs the savings for them. After June, that calculus has a new variable in it. Defection is now the active posture, and the target may surprise you. Asked which primary AI vendor they are most likely to downsize or phase out over the next 12 months, respondents named Microsoft first at 30% — most citing cutbacks to Copilot and Azure AI frameworks in favor of direct model access — ahead of the 28% who plan to trim no vendor at all. OpenAI drew 21%, largely on pricing volatility, with Anthropic at 15% and Google at 6%. No vendor faces an exodus. But loyalty by inertia has ended: Among these enterprises, actively cutting at least one provider is now more common than expanding across all of them. Just 1 in 10 enterprises would catch a failing production model automatically How would an enterprise know if one of its production AI models was drifting, behaving unsafely, or failing to complete tasks? We asked directly. Forty percent say they are very confident they would detect it. The question also asked what that confidence rests on, and respondents split into two camps: 30% rely on humans reviewing critical AI outputs, and just 10% — 14 of the 145 organizations — have automated monitoring and alerting running against production systems. The remaining respondents hold weaker positions still: 32% expect to catch most issues "eventually," 19% say they would likely hear about a failure from end users first, and 8% report no systematic visibility into production AI behavior at all. That distinction matters because the two approaches are very different. Human review may seem like the gold standard, but it only reaches the outputs someone designates as important for such a review — and it happens at the pace humans can move at, with the inconsistency any manual process carries. Automated monitoring watches everything the system produces, continuously, and flags anomalies as they happen — for the same reason enterprises stopped depending on manual checks for uptime and security a decade ago. As agentic workloads multiply output volumes far beyond what any review team can read, the manual approach starts to fall behind. The leaders at our June 24 event in New York treat human review as a designed control with automation underneath it. "Nothing gets deployed into production unless it's a human actually reviewing it and signing off," Craig said of Liberty's agentic software factory, where planning, coding, testing, critic, and librarian agents ship features from epic to production. "It always has to be risk-based. That's why we work for an insurance company." Todd Johnson, the Morgan Stanley managing director who runs agentic AI across the bank's end-of-day P&L controller process, described the same principle from finance: "One of our strong principles in our AI governance generally is that there always has to be human accountability, even if there's a degree of automation." VentureBeat covered Morgan Stanley's new results around its P&L resolution agent system separately . Liberty Mutual and Morgan Stanley chose manual sign-off deliberately, layered on top of observability, identity, and governance infrastructure. Whether the human-review camp has similar infrastructure underneath is more than a single-select question can establish. The 16% who separately named missing observability tooling as their biggest governance barrier are the ones saying outright that it hasn't been built. The top governance barrier is organizational: no single owner for AI across platforms Why does the AI visibility tooling never get built? The respondents' answers suggest it is an organizational shortcoming. The single most-cited barrier to governing AI across platforms is the absence of a single owner or accountable team, at 32%. Vendor opacity follows at 25%, missing tooling at 16% — and a lack of talent lands dead last at 5%. The skills exist, but the organizational mandate does not: Only 38% say a central team actually governs AI behavior across their platforms today, 21% say ownership is unclear or actively contested between teams, and 17% say no role holds formal accountability at all. The AI surface being governed makes the vacuum worse. Fully 85% of enterprises run two or more platforms each claiming to be the "primary" AI layer — ERP, ITSM, productivity suite, data platform, each with its own AI, its own controls, and its own assumptions. 36% describe an open contest between four or more. Just 8% have consolidated to one. Asked in a free-text question what one thing they would fix, respondents converged from different directions on the same answer: a single accountable owner, and a control plane that abstracts cost, drift, and model choice away from the end user. 79% have already paid for an agent control failure — led by shadow AI The cost of the vacuum is showing up on corporate cards. Asked to name the most severe financial or operational control failure they have experienced from autonomous agents, 49% of enterprises cite shadow AI — departmental teams running unauthorized agentic pipelines on corporate credit cards, bypassing central financial oversight entirely. Another 25% have been hit by an infinite-loop bill, an uncaught recursive workflow racking up thousands in token costs in a single incident, and 6% by an agent that degraded production databases with unthrottled queries. Only 21% report guarded stability, with hard token throttling and budget caps at the infrastructure layer. Add it up: 79% of these enterprises have already paid for an agent control failure in real money or real downtime. Finally, the economics of tokens suggest the pressure will keep rising. Per-token inference costs are falling 70 to 80% a year, and agentic workloads consume 100 to 500 times the tokens of the LLM tools they replaced. Brian Gracely, senior director of portfolio strategy at Red Hat, told our New York audience the answer starts with right-sizing: "If I'm simply trying to resolve an insurance claim, I don't need to know about the history of Western civilization in my model. I don't need to know soccer scores." Enterprises are pairing smaller, specialized models with semantic routing, he said, so the platform decides which requests genuinely need frontier-scale reasoning — and which are burning premium tokens on commodity work. (One adjacent data point from the survey underlines the appetite for pragmatism: 73% of enterprises report little or nothing to show for their custom fine-tuning investments of the past 18 months — a reckoning we'll examine in its own report.) The bottom line: Replaceability is spreading faster than ownership The survey describes enterprises moving fast on AI with weak controls underneath. 58% are adding more AI initiatives than they retire. 85% run multiple platforms that each claim to be the primary AI layer. Three times as many enterprises rely on human review to catch a failing production model as have automated monitoring in place. And 79% have already paid for an agent control failure — most often unauthorized agent spending on corporate cards, outside IT's oversight. On one problem, enterprises have clearly adapted: model dependency. Two-thirds hedge their model strategy, either running open-weight models alongside closed ones (51%) or moving core workflows off closed APIs entirely (16%). The Fable 5 shutdown showed the value of that position — the hedged companies could route around a model that a government order made unavailable overnight. The remaining problems are internal, and no purchase fixes them: 32% name the lack of a single accountable owner as their top governance barrier, and 17% say no role holds formal accountability for AI at all. Assigning an owner costs nothing and requires no vendor. It still hasn't happened at most of these companies. Our coming Q3 wave of research will measure whether June changed this — whether enterprises assigned owners and installed automated monitoring, or just added a second model and moved on. Get the full Control Gap report here . The themes in this report — agent orchestration, governance, and cost control — are the agenda at VB Transform, VentureBeat's flagship event, July 14-15 at Hotel Nia in Menlo Park, with technical leaders from Visa, GM, Waymo, Intuit, Instacart, LangChain and others. Details and registration here. Disclosure: VentureBeat's June 24 AI Impact event in New York was sponsored by Red Hat and Intel. Sponsors have no input into VentureBeat Pulse Research survey design, findings, or editorial coverage.
- Companies are rehiring workers they replaced with AI after automation fell short
Ford, Commonwealth Bank of Australia, and IBM are among firms that have reversed AI-driven job cuts after finding the technology couldn't fully replace human workers
- Google DeepMind and A24 announce first-of-its-kind research partnership
Google DeepMind and A24 announce first-of-its-kind research partnership
Score: 69🌐 MovesJul 3, 2026https://deepmind.google/blog/google-deepmind-and-a24-announce-first-of-its-kind-research-partnership/ - AI is outpacing the rules, Europe’s top bankers and regulators warn
Europe's top bankers and financial regulators are grappling with how to better regulate AI risks.
Score: 69🌐 MovesJul 3, 2026https://www.cnbc.com/2026/07/03/ai-outpacing-rules-europe-top-bankers-regulators-warn.html - Cloudflare introduces new AI traffic controls, analytics and content monetization initiatives
Cloudflare is rolling out new tools to give website owners control over AI access to their content. New sites will default to allowing search indexing but restrict AI training on ad-supported pages. A new dashboard will offer insights into AI traffic, and the company is exploring 'Pay Per Use' models to compensate creators for content used in AI responses. These measures aim for greater transparency as AI web traffic surges.
- UAE blocks sophisticated AI-powered cyberattacks on banks and financial sector
UAE blocks sophisticated AI-powered cyberattacks on banks and financial sector Arabian Business
Score: 68🌐 MovesJul 3, 2026https://www.arabianbusiness.com/finance/uae-cyberattacks-financial-sector-ai