News Source
EXCERPT:
Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, the computer model traces pairs of genes back in time to their last common ancestor.
AI Markets
China has made a decisive move in the emerging AI race and war with the U.S., halting the purchase of a Chinese-created AI-agent company called Manus. The purchaser was the U.S.’s Meta. China did not offer an explanation, though it reflect AI nationalization trends both in China and in general.
China blocks Meta’s $2 billion Manus AI acquisition after regulatory scrutiny – Firstpost
News Source
EXCERPT:
China’s National Development and Reform Commission (NDRC) has blocked Meta’s $2 billion acquisition of Manus, an agentic startup founded by Chinese engineers. The move by the NDRC is one of the most significant interventions in a cross-border deal, one that extends well beyond US-China tensions and into the broader AI industry.
The commission issued no explanation and ordered both parties to unwind the deal completely. Reports suggest the decision could be a serious blow to Meta and its fast-moving AI agents strategy, since almost 100 Manus employees had already moved into Meta’s Singapore offices and taken on executive roles. The unwinding could therefore cause major disruption between the two companies.
Salesforce CEO Marc Benioff announced online plans to hire 1000 new college graduates to drive the “exponential” potential of AI. He said in his X post, “… they said AI would kill entry-level jobs. Meanwhile these grads & interns are building it.”
EXCERPT:
Marc Benioff has announced plans to hire 1,000 graduates and interns at Salesforce, positioning the move as a counterpoint to fears that artificial intelligence will erode entry-level job opportunities.
In a post on X, Benioff said the new hires would contribute to building AI-driven products within the company, including initiatives such as Agentforce and Headless360. He encouraged graduates to apply through the company’s recruitment channels, emphasising that young talent is actively participating in developing the very technologies expected to disrupt traditional roles.
News Source
EXCERPT:
Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to move enterprise AI systems out of proofs of concept and into the business processes that generate revenue.
The product, which launches as part of Mistral’s Studio platform, is the company’s clearest articulation yet of a thesis that is quietly reshaping the enterprise AI market: that the bottleneck for organizations adopting AI is no longer the model itself, but the infrastructure required to run it reliably at scale.
“What we’re seeing today is that organizations are struggling to go beyond isolated proofs of concept,” Elisa Salamanca, who leads go-to-market for Mistral’s enterprise products, told VentureBeat in an exclusive interview ahead of the launch. “The gap is operational. Workflows is the infrastructure to run AI systems reliably across business-critical processes.”
The release arrives at a pivotal moment for both Mistral and the broader AI industry. The dedicated agentic AI market has been valued at approximately $10.9 billion in 2026 and is projected to reach $199 billion by 2034. Yet despite that staggering growth trajectory, industry research points to a stark reality: over 40% of agentic AI projects will be aborted by 2027 due to high costs, unclear value, and complexity. Mistral is betting that Workflows can help its enterprise customers avoid becoming one of those statistics.
News Source
EXCERPT:
Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.
That assumption is now shifting.
Today, high-fidelity simulation produces synthetic training data accurate enough for production-grade AI. This is enabling perception systems, reasoning models and agentic workflows to excel in live factory environments.
OpenUSD has emerged as the connective standard that makes this practical, and the manufacturers building on it are already experiencing measurable results.
AI is now bigger than oil and gas in terms of capital investment, having topped $400 billion. It is also the largest debt-segment within U.S. investment-grade credit at $1.4 trillion.
Big Tech AI Spending Tops $400B, Now Exceeds Oil And Gas Investment – Yellow.com– news.google.com
News Source
EXCERPT:
Capital spending on AI by five major technology firms has crossed $400 billion, overtaking what the world invests each year in oil and natural gas production.
The shift was flagged by the International Energy Agency in its latest report.
Combined capital expenditure at the five firms topped $400 billion in 2025. The agency expects another 75% jump in 2026.
The numbers reflect a sharp pivot in global capital flows. Data centre development has grown too capital-intensive for corporate balance sheets alone, pulling tech firms deeper into bond markets to fund the buildout.
AI-related debt has now climbed to roughly $1.4 trillion, the largest segment within US investment-grade credit.
News Source
EXCERPT:
SINGAPORE — Chinese authorities say they have banned Meta’s acquisition of Manus AI, an artificial intelligence company founded in China — taking Beijing’s most aggressive step yet to stanch the loss of AI talent and resources to the United States and probably setting off a complicated legal and political fight.
News Source
EXCERPT:
BEIJING — Chinese tech giant Alibaba said Friday that its Qwen artificial intelligence model will be integrated into vehicles from automakers including BYD and a local joint venture of Volkswagen, as the industry pushes to add more in-car digital services and compete for buyers in a slowing electric vehicle market.
News Source
EXCERPT:
OpenAI launched a new image generation AI model on Tuesday, dubbed ChatGPT Images 2.0. This model can generate more than one image from a single prompt, like an entire study booklet, as well as output text, including in non-English languages like Chinese and Hindi. This release is available globally for ChatGPT and Codex users, with a more powerful version available for paying subscribers.
When any major AI company releases a new image model, it can revive interest and boost usage, especially if social media users adopt a meme-able trend, transforming images of themselves. Last year, Google’s launch of the Nano Banana model was a major moment for the company, especially when users started posting hyperrealistic figurines of themselves online. Earlier this year, ChatGPT Images made waves on social media as users shared AI-generated caricatures.
News Source
EXCERPT:
Looking at enterprise AI adoption, VentureBeat has anecdotally observed a fairly wide divergence when it comes to specific roles: For those who build—engineers and developers—the arrival of AI has been transformative, moving through the workflow with the speed of tools like Claude Code and Cursor to automate the heavy lifting of syntax and architecture.
Yet, for those who sell, the “revenue stack” has remained a fragmented collection of data silos, manual CRM entries, and anecdotal reporting.
Von, a new AI platform emerging from the team behind process automation startup Rattle, aims to bridge this gap. By positioning itself not as another “point solution” but as a foundational “intelligence layer,” Von seeks to do for Go-To-Market (GTM) teams what the modern IDE has done for the developer: provide a single, reasoning interface that understands the entire business context.
“AI has revolutionized the workflow for people who build things, but there is nothing that has revolutionized the workflow for people who sell those things,” Von CEO Sahil Aggarwal said in a recent video call interview with VentureBeat. “That is what we are trying to build with Von”.
News Source
EXCERPT:
Rather than feel discouraged by the tech world’s disinterest in luxury, she decided to seize her company’s opportunity to target a massive, underserved market. The start-up builds custom tools for retailers, like customer-facing shopping assistants and back-end data optimizers, from the grocery store chain Sprouts to the multibrand retailers like Nordstrom. Looking ahead, Mostafazadeh is hoping her company “makes it so that what happened to the neighbor on the north doesn’t happen to the neighbor on the west,” she said, gesturing to Macy’s a few blocks away, lest it suffer the same bankruptcy fate as retailers like Ssense, Matches, and Saks Global.
You can probably think of a couple of pain points that Mostafazadeh’s technology—which she prefers to call “augmented intelligence”—aims to address. Many of these pain points can be found online, where shoppers can waste hours on an endless scroll without making a single purchase. (Natural language searches like “black loafers under $500 with ruching at the toe stitch only” are well within the realm of what’s technologically possible, but far from the reality you’d currently find on most e-commerce sites.)
More and more Americans have begun making AI subscription services a part of their essential household budget. Since 2024, paid AI subscriptions have increased by 38%. The paid AI subscription service market is expected to exponentially expand over the next two years.
Generative AI News: US Households Are Carving Out Room in Budgets for ChatGPT and AI Subscriptions – crypto.news– news.google.com
News Source
EXCERPT:
In the latest generative AI news, CBS MoneyWatch reported that US households are actively making room in their budgets for AI subscriptions, backed by Bank of America Institute data showing the number of paying AI subscribers has surged 38% from the 2024 average.
Summary
- Approximately 3% of Bank of America households paid for AI services in early 2026, with median monthly spend at $20, up 10.4% year over year, driven by growing use of tools like ChatGPT Plus, Claude Pro, and Gemini.
- The share of subscribers paying $21 to $40 per month jumped 50% year to date versus 2024, suggesting consumers are moving up the pricing tiers as they deepen their use of AI tools for daily tasks.
- Bank of America Research projects the US consumer AI market could scale to $75 billion annually as AI becomes embedded in productivity, search, entertainment, and personal assistant use cases.
Generative AI news has moved from enterprise budgets to household spending lines. Bank of America Institute analysis of nearly 70 million consumer accounts found that the number of households making AI subscription payments is up 38% from the 2024 average, with median monthly spend sitting at $20 for those who pay, up 10.4% year over year.
