September 21, 2026

AI Markets

The Economist has estimated AI has created five jobs for every one job lost. Their study claims AI has caused 200,000 job cuts since mid-2023 while creating one million new jobs.

It’s Not All Doom and Gloom: AI Added 1 Million US Jobs, 5 for Every 1 Cut www.westernjournal.com
News Source
EXCERPT:

A wave of doomsday warnings about artificial intelligence (AI) is overshadowing a short-term bright spot: the technology appears to be creating American jobs even as it eliminates others.

U.S. employers cited AI in 116,175 announced job cuts through August, roughly 22% of all cuts announced in 2026, according to Challenger, Gray & Christmas.

Yet amid mounting warnings about AI’s threat to workers and even humanity, The Economist estimated in September that AI has created roughly 1 million American jobs compared with roughly 200,000 AI-attributed layoffs since mid-2023 — a ratio of about five jobs created for every one lost.

The figures are not directly comparable. Challenger tracked announced layoffs in which AI was cited as a reason, while The Economist estimated job creation using employment trends, AI-specific occupations and infrastructure hiring. Challenger has recorded roughly 188,000 announced cuts attributed to AI since it began tracking AI separately in 2023.

The broader labor market has so far avoided mass displacement. Employers added 162,000 jobs in August and the unemployment rate remained at 4.1%, the Bureau of Labor Statistics (BLS) reported Sept. 4.

AI-related job creation is also extending beyond the workers constructing the data centers needed to power the technology.

Virtual cells built from 4D AI models and ‘digital twins’ could speed up drug discovery phys.org
News Source
EXCERPT:

Mitochondria—tiny structures that convert nutrients into energy—are often depicted as discrete kidney bean-shaped objects. But in reality, they form a dynamic, interconnected network throughout the entire cell, rapidly splitting and fusing as they’re transported to where energy is needed most.

Meta’s plans to replace workers with AI fell flat, report says – Computerworld www.computerworld.com
News Source
EXCERPT:

Earlier this year, Meta, one of the industry’s loudest AI advocates, was ready to slash up to 60% of the members of some teams and replace them with AI, as part of what it called Project OT (Organization Transformation), an initiative to make Meta “AI native.”

But it backed off at the last minute after internal data showed that the plan wasn’t working out, according to a Reuters investigation published Wednesday. For example, Reuters said, code changes made to the internal software platforms and infrastructure that employees used on the job were up 220% year-over-year, according to an early June post by Meta CTO Andrew Bosworth, yet changes that led to new or upgraded features reaching Meta users were only up 36%.

Meta executives also saw “’reliability warning signs’ caused by the AI coding surge,” according to an internal post, Reuters reported. “Another post, in April, said that unchecked AI agents were performing ‘large-scale, disruptive actions that humans are unlikely to execute.’ The result: Major technical and security incidents, such as service disruptions and possible data leaks, spiked 40% from the previous year, with the time staffers had to spend firefighting them up 70%.”

 

American scientists are building a $12 million ‘digital brain’ for drones based on how insects make decisions with limited information | timesofindia.indiatimes.com
News Source
EXCERPT:

A $12 million research project at Penn State is trying to give drones a new way of making decisions, drawing inspiration from the small brains of insects and other animals. Funded by the US Army’s Army Research Laboratory, the project aims to develop an onboard sensing system that can pick out useful information without sending large amounts of data to external computers. The team, led by Saptarshi Das, is studying how animals such as locusts and owls filter sensory information despite having tiny brains. Their proposed system would use analogue computing, graphene-based components and memristors to process signals while using less power. A cochlea-inspired structure would help filter information before it reaches conventional digital processing. The researchers also plan circuits that mimic coincidence-detecting neurons, allowing drones to respond to combinations of signals rather than processing everything they encounter. Annual demonstrations will gradually move from individual prototypes towards larger drone swarms.

SpaceXAI Unveils Grok Bot To Work Like A Team Of AI Agents www.ndtv.com
News Source
EXCERPT:

SpaceXAI is rolling out new artificial intelligence software that’s designed to act like a team of AI agents fielding assignments throughout the day, marking the latest bid by Elon Musk’s company to keep pace with Anthropic PBC and OpenAI.

The new product, called Grok Bot, is designed to seamlessly handle a wide range of professional work. The tool can sign into various apps and websites, retain information from prior tasks and enable bots to share details and context with each other, the company said Tuesday.

The product is part of Musk’s broader push to catch up in the AI race after slipping behind in the fast-growing market for AI agents. SpaceXAI, as Musk’s AI outfit is now known, released its first coding agent in May to compete with Anthropic’s offerings, followed by the new Grok 4.5 built with Cursor.

SpaceX reached a $60 billion agreement in June to acquire Cursor, an AI coding startup. Cursor emerged as a key player in tech’s so-called vibe coding era, as demand surged for tools that can write and debug software programming.

Anthropic to watermark AI-generated content – Computerworld www.computerworld.com
News Source
EXCERPT:

Anthropic will begin labeling AI-generated content created by Claude, Claude Code, and the company’s API, as well as Claude models via third-party services, according to The Register.

Text generated by future Claude models will be given an invisible watermark. According to Anthropic, the watermark is embedded directly into the generated text without affecting its meaning or readability. For files, Anthropic will instead use signed metadata in accordance with the C2PA standard.

The effort is part of the company’s plan to comply with the EU’s AI Regulation and transparency requirements regarding AI-generated material. However, the labeling will be implemented globally for all users.

 

DeepMind Says Its AI Can Predict Hurricanes Earlier Than Everyone Else www.wired.com
News Source
EXCERPT:

In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane.

Hurricane Melissa was catastrophic, causing flooding and landslides across Jamaica. But the AI model helped forecasters give an earlier warning to communities in its path, so they could better prepare.

In a paper published on Thursday in Nature, researchers show the WeatherNext AI model can predict cyclones with unprecedented accuracy. On average, it gives forecasters a day more lead time than existing models; this means its predictions three days out are as accurate as previous models’ predictions two days out. On the ground, that extra day can mean a lot.

“Even a few hours can make a difference,” says Mike Brennan, director of the US National Hurricane Center. Organizing evacuations, staging supplies, and moving resources to respond to a hurricane risk are all time-sensitive tasks—and making the wrong decision can have big consequences. “Time is really golden when it comes to those types of decisions, so the ability to push forecast accuracy out as much as a day beyond what we’ve previously been able to do is really valuable,” he says.

Historically, bringing forecasts forward by a day would take a decade of work, the researchers say.

Google abruptly cancels its unreleased AI Studio mobile app www.androidauthority.com
News Source
EXCERPT:

TL;DR

  • Google has already canceled the standalone AI Studio mobile app before it ever launched.
  • The company says it will now bring AI-powered app creation directly into the Gemini app.
  • Meanwhile, the AI Studio web experience will continue to grow and evolve.

In a post on X, the official Google AI Studio account said the company has decided to cancel the standalone mobile app, despite around 800,000 users pre-ordering it across Android and iOS.

The company said that, instead of asking users to install “yet another app,” it will bring AI Studio’s core capabilities directly into the Gemini app.

Google says it’s partnering with the Gemini app team to make this vision a reality across both mobile and desktop.

New chapter in reading: AI companion tools let readers chat with books timesofindia.indiatimes.com
News Source
EXCERPT:

Mid-listen, you can tap a button, ask your question, hear the answer, and then pick up the story right where you left off

NEW YORK: Imagine a world where you could ask a book a question as you read it. That’s the pitch from a wave of new AI tools letting readers do exactly that. “You are dealing with a book as if it is a living object – it’s totally different,” says Ahmed Kamel, CEO of Sinai.ai, a platform now in testing.With these tools, users get access to an e-book or audiobook alongside an AI chatbot. Confused about a character’s motives or the historical setting? Just ask. Readers can dig into a character’s psychology, historical context, or a philosophical concept — no separate research required.French startup My Smart Book launched something similar in mid-April. Like Sinai, its chatbot draws only on the actual text of the book – no outside information.

AI Capability Races Ahead of the Business Payoff | American Enterprise Institute www.aei.org
News Source
EXCERPT:

The state of the AI revolution can be confusing. At times, it can seem as if the latest artificial intelligence models are showing huge capability increases. One example is when two OpenAI models broke out of the lab, accessed the internet, and broke into another AI company. Or, as a Wall Street Journal headline put it, “The Day the Bots Broke Loose.”

But then you might come across another headline from the Wall Street Journal: “Big Companies Are Starting to Hire Again, Defying Predictions of AI Wipeout.” And from that piece:

The push to expand head count, at least modestly, is a reversal from the prevailing corporate messaging during much of the AI era. Major employers largely held back on adding people due to economic uncertainties or a belief that artificial intelligence could shoulder more tasks on the job. But some executives say the costs and limitations of AI now demand that more people be added; others want to hire people back following layoffs.

A surge in hidden debt among AI giants like Oracle and Meta is setting off alarms in the industry. The hidden debt comes from future payment operations for expenses not yet online to make money. For instance, leases and property taxes must be paid on sites that are earmarked for databases that haven’t been built or completely built yet. The hidden debt amounts to more than $1.65 trillion.

The AI Illusion: Big Tech’s ‘Invisible Debt’ Surges To $1.65 Trillion On Opaque Funding – NDTV Profit news.google.com
News Source
EXCERPT:

The hidden $1.65 trillion stems from future payment obligations-such as long-term operating leases for data centers not yet built, bulk GPU supply contracts, and joint ventures. Under current accounting standards, companies are not required to record these obligations as liabilities on their balance sheets until the assets are delivered or the facilities go live.

Instead, these financial commitments are buried in the small-print footnotes of their financial statements. While perfectly legal, this practice effectively obscures the true financial leverage of the companies. By shifting costs to future periods, tech giants can maintain balance sheets and inflate current profit figures, all while locking themselves into hundreds of billions of dollars in future payouts.

While all five giants are utilizing these financial structures, the report reveals that the scale of hidden debt at Meta and Oracle is particularly striking:

Meta: The social media giant’s off-balance-sheet debt has reached an estimated $420 billion, nearly three times its officially recorded debt. A significant driver is its joint venture with Blue Owl Capital to build a massive data center in Louisiana, a project whose expected investment recently ballooned from $27 billion to over $50 billion.

Oracle: The company’s hidden debt has surged more than 30-fold in four years, reaching $273.3 billion. Much of this is tied to concentrated, single-counterparty exposure, such as its massive “Stargate” supercomputer data center project with OpenAI.

Meanwhile, Alphabet, Amazon, and Microsoft have collectively disclosed backlogs of roughly $1.45 trillion for cloud services and related business commitments as of March, according to the report.

 

AI can become more biased than humans while choosing who gets hired; study finds | timesofindia.indiatimes.com
News Source
EXCERPT:

Artificial intelligence is increasingly being trusted to help employers screen CVs, rank candidates and even conduct early-stage interviews. The promise is simple: AI can process thousands of applications quickly, reduce administrative workloads and, in theory, make hiring decisions more objective than humans. According to a recent review by MIT Technology, based on the 2024 study published in the Journal of Experimental Psychology titled “Costly Exploration Produces Stereotypes With Dimensions of Warmth and Competence”, large language models (LLMs) may not only inherit human biases from the data they are trained on but also develop entirely new stereotypes based on their own experiences. Rather than simply reflecting existing prejudice, these systems can create fresh patterns of discrimination as they attempt to optimise decision-making over time.The findings are particularly significant because businesses are rapidly integrating AI into recruitment. If these systems begin making assumptions about groups of applicants after only a handful of hiring decisions, they could gradually reinforce unfair employment practices without any explicit human instruction.The research, conducted by scientists at Princeton University and the University of Chicago, builds on earlier psychological work showing how stereotypes can emerge from repeated decision-making. It suggests that the same learning strategies that make AI effective at solving complex problems can also make it unusually prone to stereotyping job candidates.

U.S. pledges $5 billion to boost AI in government-backed scientific research www.scientificamerican.com
News Source
EXCERPT:

Overall federal funding for scientific research is set to decline in 2027, the most senior White House science figure said on Wednesday. The government, however, pledged to spend $5 billion on promoting artificial intelligence in science.

Michael Kratsios, the White House’s science and technology adviser, told the House Committee on Science, Space, and Technology that the money will be drawn from the National Science Foundation (NSF) and NASA, as well as other federal agencies.

The goal is to produce “the premier AI for science ecosystem in the world,” he said. The funding will be earmarked for “research awards, funding opportunities, specialized scientific datasets and research facilities,” the White House said in a statement.

News Source
EXCERPT:


A coalition of current and former Meta employees have sued the social media giant, alleging that the company used artificial intelligence in its latest round of layoffs in a way that was discriminatory.

In a lawsuit filed Monday, plaintiffs allege that Meta violated various protected-leave laws and discrimination acts related to pregnancies and disabilities, among others, and said they wish to pursue their claims individually in arbitration.

Attorneys representing the 26 unnamed workers said in a legal complaint filed in the United States Northern District Court of California that the plaintiffs were among the 10% of Meta’s workforce cut in the company’s May layoff round.

The plaintiffs allege that Meta’s “constellation of internal artificial-intelligence systems” failed to take approved absences into account when determining which employees to cut.

“Those tools draw on inputs—performance ratings, calibration scores, productivity and output metrics, ‘AI-native’ ratings, and AI-token consumption—that, by design, cannot be accumulated by an employee who is on protected medical or family leave, or whose output is reduced by a disability,” the lawyers wrote in the filing.

News Source
EXCERPT:

When it comes to making fair calls, the Korea Baseball Organization (KBO) deploys robots. The nation’s professional league added a fleet of so-called robot umpires to the field during its 2024 season, hoping to even out the playing field. Called the Automatic Ball-Strike system (ABS), it utilizes pitch-tracking sensors and camera arrays to quickly analyze when a pitch crosses the strike zone—not uncanny machines wearing catcher’s gear. The ABS data is then presented to the human home plate umpire, who announces their call based on the additional analysis.

ABS is designed to offer more accurate decisions while reducing overall bias in games, but did it deliver? Two years later, researchers at the University of Michigan (UM) say effects are already clear—although not necessarily what some baseball fans (or players) anticipated.

According to a study published in the journal European Sport Management Quarterly, famous top-ranking hitters performed worse during the 2024 KBO season compared to previous year for statistics involving strike-zone judgment. Meanwhile, the high status players walked less, struck out more, and reached bases less often when ABS entered the equation.

“This suggests that there may have been an existing bias in favor of prominent batters before ABS,” Jimin Song, a UM kinesiologist and study co-author, said in a statement. “Before ABS, when a big-name batter was at bat, umpires may have given more favorable calls on borderline pitches.”

News Source
EXCERPT:

The researchers behind the breakthrough say these humanoid robots could offer several advantages over the complex surgical systems currently in use.

Humanoid-style robot performs surgery for the first time, marking a potential turning point in the relationship between robotics and healthcare. Working alongside surgeons from the University of California San Diego, a robot named Surgie successfully removed a gallbladder. In another operation, “Surgie” was joined by another robot also dubbed “Surgie” to work alongside one another to perform a laparoscopic gallbladder removal. Both procedures were performed on non-primate mammals, The Independent reports.

“This study shows that humanoid robots have a viable future in the field of surgery,” said Michael Yip, a faculty member in the UC San Diego Department of Electrical and Computer Engineering.,” said to The Independent. “Remotely operated and autonomous humanoid robots have real potential for amplifying access to critical surgeries to which patients would otherwise not have access. This can help address the healthcare crisis not only in the United States, but also worldwide.”

The software giant Microsoft announced it was laying off 4,000 people, primarily its X-box division. The move is designed to optimize X-box and other divisions using AI. The layoffs amount to 2.1% of its workforce. 1,600 of those layoffs are already happening, and they’re all in the X-box division.

Go Deeper

News Source
EXCERPT:

Meta CEO Mark Zuckerberg has told staff that the company’s effort to replace human workers with AI agents is moving slower than expected, even after the tech giant cut thousands of jobs and reorganized aggressively around artificial intelligence.

The admission came during an internal town hall after months of restructuring at Meta.

Earlier this year, the company cut roughly 10% of its workforce and reassigned about 7,000 employees into new AI-focused roles.

Those moves were framed internally as urgent, as Meta raced to compete with OpenAI, Google, Anthropic, and other major players in the artificial intelligence arms race.

News Source
EXCERPT:

Xbox is handing the pink slip to 3,200 of its employees, or 20 per cent of the total workforce, over the next year. The move comes as part of the Microsoft-owned company’s broader AI-led layoffs, with Xbox being affected the most as its “business is not healthy”, Chief Executive Officer Asha Sharma said in a letter to employees.

In her email to workers, Sharma noted that 1,600 employees will be laid off on Monday, while the remaining ones will be let go over FY27. In addition, Xbox will divest four of its gaming studios and is preparing to part ways with another.