Europe
BBC Business

Trump downplays warnings of AI risks, citing rivalry with China

US President Donald Trump has downplayed risks posed by artificial intelligence following days of dire warnings by experts. "You have a lot of very negative forces that are bringing it up that shouldn't be bringing it up and they're bringing up things that won't happen," Trump said during a visit to Ireland. One of the warnings came from a former Anthropic researcher who said "there is a strong chance that we could all die in the immediate future" if the current pace of development continued. On Saturday, top industry bosses agreed and called for a slow-down. Trump did not directly address the idea, but said: "We're leading China on AI... and, frankly, I want to keep it that way because whoever wins AI, wins." Trump spoke on the same day AI researcher Jacob Coxon - who quit Anthropic a few days ago - told the BBC that staff who were developing the systems were "genuinely frightened" for the future of humanity. Coxon – who has also worked at OpenAI – welcomed the idea of a slowdown but said it would need to be co-ordinated with China. On Saturday, Elon Musk, owner of xAI, and Sam Altman of OpenAI, backed a warning from the head of Anthropic Dario Amodei that the pace of development should be slowed "to reduce the risk that something goes seriously wrong". The Anthropic CEO said any slowdown would have to be limited to avoid allowing China to pull ahead. The issues surrounding AI have prompted fierce debate - and present a dilemma for many world leaders. On one hand, the sector is seen as a huge opportunity to boost economic growth and a way to improve outdated digital systems and ways of working. But there have also been a number of incidents where AI appears to have gone seriously wrong. In August, OpenAI said it had slowed down training some of its most advanced AI models to improve security.

Trump downplays warnings of AI risks, citing rivalry with China
Asia-Pacific
The Straits Times

OpenAI projects burning through $354 billion by 2030: Financial Times

OpenAI is investing heavily in computing power and expects expenses to vastly outpace those gains, according to FT. SAN FRANCISO – OpenAI anticipates that its negative free cash flow will reach US$278 billion (S$354 billion) from 2026 to the end of 2030, according to the Financial Times (FT), citing a company presentation. Though the company projects its revenue will increase from US$36 billion in 2026 to US$350 billion in 2030, it is investing heavily in computing power and expects expenses to vastly outpace those gains, according to FT. On Sept 15, Bloomberg reported that OpenAI has been holding early talks with investors about a fresh funding round that would value the company at more than US$1.2 trillion ahead of an initial public offering (IPO). The FT first reported those talks. OpenAI chief executive Sam Altman told Fortune earlier that the company’s long-anticipated IPO is still in the works but would not happen in 2026. The additional funding, if the artificial intelligence giant takes it, would provide flexibility to potentially push back its IPO further, by one or two quarters, Bloomberg reported. Another reason OpenAI could consider additional fundraising would be to support more mergers and acquisitions, Bloomberg reported. Bloomberg

OpenAI projects burning through $354 billion by 2030: Financial Times
Europe
BBC Business

OpenAI reveals six more safety issues and unveils plan to disclose incidents

OpenAI revealed six more incidents of unexpected or concerning behaviour by its intelligence (AI) models, and announced a plan for tracking and disclosing such incidents in the future. Some of the previously unreported incidents included models concealing or fabricating information, the ChatGPT-maker said in a blog post on Wednesday. The boss of OpenAI Sam Altman said earlier this week: "The world should trust that we are going to do the right thing because it's the right thing and we feel the magnitude of this." AI has come under intense scrutiny in recent days following warnings over the serious potential risks it poses to humans. In the blog, OpenAI detailed examples of its AI models misbehaving so they could achieve a task or succeed in a test. The incidents included the models generating instructions to get around restrictions imposed on them, hiding mistakes and fabricating information. The firm also announced a new system to track, investigate and disclose cases of models misbehaving, or "misalignment". Under the framework, developers will be able flag incidents for review, with a new set of rules to decide whether the issue is disclosed publicly. "Because we believe in the value of transparency around misalignment, our new framework favors disclosure even when significance is uncertain," OpenAI said. OpenAI made headlines in July when it revealed that some of its most advanced AI models went rogue and hacked Hugging Face, one of the world's largest hubs for sharing AI models, after it lost control of them during a security test. Hugging Face co-founder Thomas Wolf said at the time that the incident was "a wake-up call" for the industry. Since then, the debate over AI safety concerns has escalated with AI researchers, technology industry executives and politicians weighing in. Last week, Jacob Coxon, a researcher who left OpenAI rival Anthropic over concerns the tech could wipe out humanity, wrote about his resignation in a post that cited the dangers of AI and later went viral against the backdrop of growing safety concerns.

OpenAI reveals six more safety issues and unveils plan to disclose incidents
Asia
The Hindu BusinessLine

Broker’s call: M&M Financial (Buy)

Three years into its digital transformation journey, Mahindra & Mahindra Financial Services (MMFS) has successfully embedded its flagship ‘Udaan’ programme across lending, servicing and collections verticals. By migrating the customer journey from a low-tech high-touch model to a high-tech high-touch one, MMFS has started witnessing tangible operational benefits such as expanded market share at existing dealer counters, an enhanced cross-sell ratio, and a reduction in TAT to 1–2 days vs 8-10 days earlier. Further, leveraging proprietary scorecard model built on over 3 decades of historical data, MMFS expects to stabilise its overall credit cost within 1.3-1.7 per cent in FY27, demonstrating strong structural resilience, despite temporary headwinds from ongoing geopolitical situation. Alongside process enhancements in onboarding, underwriting and collection, MMFS strategically remained focused on capitalising on its extensive customer base of over 12 million clients. We believe, given that the digital optimisation remains an ongoing exercise, the same will likely ensure structural improvement in return ratios, going forward. Key risks: Cyclical nature of vehicle finance impacting AUM growth; and spreads sustaining at lower-than-guided levels. Comments have to be in English, and in full sentences. They cannot be abusive or personal. Please abide by our community guidelines for posting your comments. We have migrated to a new commenting platform. If you are already a registered user of TheHindu Businessline and logged in, you may continue to engage with our articles. If you do not have an account please register and login to post comments. Users can access their older comments by logging into their accounts on Vuukle.

Broker’s call: M&M Financial (Buy)
Asia
The Hindu BusinessLine

Navitas Solar plans ₹10,000-crore green energy blitz across Gujarat, Maharashtra

In one of the largest domestic bets on green energy, Surat-based Navitas Solar, founded by four friends, is drawing up an ambitious ₹10,000-crore investment plan to build an integrated renewable energy ecosystem across Gujarat and Maharashtra. The proposed expansion will create manufacturing facilities across the solar value chain, including ingots, wafers, high-efficiency solar cells and battery energy storage systems (BESS). It also includes the development of two solar parks. The move marks a significant backward-integration strategy as the company seeks to capitalise on India’s push for domestic value addition and clean energy infrastructure. “If the growth trajectory in the renewable sector continues, we plan to invest ₹10,000 crore over the next five years. The investments will cover the entire value chain, including solar cells, ingots, wafers, battery storage and solar parks,” said Ankit Singhania, Director, Navitas Solar. He said the promoters have already raised ₹300 crore to fund operations and currently hold about 67 per cent of the company. “We aim to launch an IPO over the next couple of years to raise a part of the required capital,” Singhania said. Navitas Solar was founded in 2013 by a group of young entrepreneurs and friends: Vineet Mittal, Sunay Shah, Ankit Singhania and Aditya Singhania. At Sisodara in Surat district, the company has already commissioned a 2.5-GW solar module manufacturing facility, taking its total module production capacity to 3 GW. On an adjoining plot, Navitas Solar is setting up a 2.4-GW solar cell manufacturing line, along with 100-MW pilot lines each for ingot and wafer production. “Currently, we are building Phase I of a 2.4-GW solar cell manufacturing plant at an investment of ₹1,200 crore. We are also setting up pilot projects for ingots and wafers to develop technical expertise before the government introduces its policy framework. This will enable us to scale up quickly,” Singhania said. The company expects the 2.4-GW cell manufacturing facility to become operational by July 2027. Navitas Solar reported revenue of ₹1,300 crore in FY26 and is targeting ₹2,000 crore in FY27. Beyond manufacturing, the company is expanding into solar power generation. Singhania said Navitas Solar is developing two solar parks in Maharashtra under the EPC and independent power producer (IPP) models, with capacities of 200 MW and 25 MW, respectively. The company is also entering the energy storage segment with a 5-GWh BESS facility in Vadodara, involving an investment of around ₹100 crore. The planned investments will establish Navitas Solar across the renewable energy value chain, from upstream manufacturing of ingots, wafers, solar cells and modules to downstream businesses such as power generation and energy storage.

Navitas Solar plans ₹10,000-crore green energy blitz across Gujarat, Maharashtra
North America
Yahoo Finance

Forget the S&P 500: 3 Unloved Parts of the Market Are Winning in 2026 and These Vanguard ETFs Own Them Cheap

While most investors spent the last decade chasing mega-cap growth, three overlooked corners of the market have quietly been outpacing the S&P 500 in 2026, and a handful of dirt-cheap Vanguard ETFs put all of them within easy reach. This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. Year to date through Sept. 1, 2026, the SPDR S&P 500 ETF Trust (SPY) has returned 12.31% on a cumulative total return basis. That’s a perfectly respectable result, but this year the S&P 500 has been getting lapped by several parts of the market investors spent much of the previous decade ignoring, including large-cap value, smaller companies, and small-cap value stocks. These factor tilts haven’t exactly been popular. For much of the past decade, mega-cap growth dominated as technology companies, particularly the Magnificent Seven, grew earnings rapidly and commanded increasingly large weights in market-cap-weighted indexes. Investors who diversified into cheaper stocks or smaller companies often had to endure years of relative underperformance. The dynamic has shifted somewhat in 2026. Concerns about the scale of AI capital expenditures, the depreciation expense associated with enormous data center investments, and whether all that spending will ultimately generate adequate returns have helped broaden market leadership. Meanwhile, cheaper value stocks and smaller companies have started catching up. For aspiring factor investors, I think there are two lessons here. First, size your allocation at a level you can actually stick with. Factors can underperform for years, so I’d rather see someone start with a modest allocation and scale up over time than jump in aggressively after a strong year and panic-sell during the next period of underperformance. Second, keep fees low. Any expected premium from tilting toward value or smaller companies can be gradually eroded by a high expense ratio. There are excellent actively managed factor strategies available from firms such as Dimensional Fund Advisors and Avantis Investors, but for investors who want something simpler, I still like keeping costs as low as possible. First up is Vanguard Morningstar Value ETF (VTV), which has returned 18.50% year to date through Sept. 1, comfortably ahead of SPY’s 12.31%. VTV tracks the CRSP US Large Cap Value Index, providing broad exposure to the value side of the large-cap U.S. market. The portfolio currently contains 308 stocks, but its valuation profile looks considerably different from the S&P 500. VTV’s portfolio trades at approximately 20.4 times earnings compared with roughly 25 times for the S&P 500. You’re effectively paying less for every dollar of corporate earnings while maintaining exposure to established large-cap businesses. The cheaper valuation doesn’t mean investors have to completely sacrifice growth or quality. VTV’s holdings currently have an estimated earnings growth rate of 9.6% and return on equity of 15.8%. The ETF is also extremely inexpensive. After deducting its 0.03% expense ratio, investors currently receive a 1.81% 30-day SEC yield. For investors who want a relatively mild factor tilt, VTV is probably the easiest of these three to incorporate into an existing portfolio. You’re staying within large-cap U.S. stocks while shifting away from the growth companies that dominate the S&P 500. If you’d rather target the smaller end of the market, consider the Vanguard Morningstar Small-Cap ETF (VB). It has returned 15.49% year to date through Sept. 1, also ahead of SPY. Despite the name, don’t expect a portfolio filled exclusively with tiny companies. According to Vanguard, VB’s median market capitalization is approximately $11 billion, putting the typical holding closer to what many investors would consider mid-cap territory. What you do get is considerable breadth. VB owns approximately 1,006 stocks, spreading company-specific risk across a much wider collection of businesses than the S&P 500.

Forget the S&P 500: 3 Unloved Parts of the Market Are Winning in 2026 and These Vanguard ETFs Own Them Cheap
Europe
BBC Business

Would you buy branded clothing from your favourite tech firm?

For Natalie Fratto, putting on her dark green jumper from US microchip giant Nvidia is like wearing the kit from a favourite sports team. On the front of the $178 (£132) woollen garment is a cartoonish image of the tech company's boss Jensen Huang. "I have a New Zealand All Blacks rugby jersey, and I think of my Jensen sweater in kind of the same way," says New York-based Fratto, who runs a tech start-up. She explains that it's a representation of a team and ethos "that I am impressed by and root for", and she proudly wears the jumper in videos she posts on social media., external Nvidia certainly plays in the top league of global tech firms. Under Huang's leadership, it has capitalised on the AI boom to become one of the world's most valuable companies. While it sells tens of millions of its chips per year, its clothing is far more exclusive. The lines, which also include t-shirts, hoodies and hats, are typically only available to buy from pop-up stalls at its conferences, and for very limited periods or "drops" via an online store and sell out very quickly. And while it might seem odd that such a tech company is selling clothing, others are getting in on the act too – and also focusing on exclusivity. OpenAI, the operator of ChatGPT, usually only offers its branded fashion to employees, but occasionally it goes on general sale for a few days via its website. Meanwhile, Anthropic, the maker of the Claude chatbot, last year opened a temporary, pop-up coffee shop in Manhattan's West Village. For just one week it gave away free baseball hats with the word "thinking" embroidered on the front. Professor Hazel Clark, who teaches fashion at Parsons School of Design in New York, says that by limiting availability, tech firms have taken inspiration from the world of fashion. "It's a very common strategy for brands to use. It elevates the desirability," she says. But why are such companies selling clothing in the first place? It is not as if they need the supplementary income streams. Nvidia, OpenAI and Anthropic all declined to comment, but it appears to be about brand promotion and reputation management.

Would you buy branded clothing from your favourite tech firm?
Europe
The Guardian

‘Trump accounts’ promise to mint child millionaires. Experts have their doubts

Donald Trump arrives for an event to promote ‘Trump Accounts’ at Wheeler high school in Marietta, Georgia, on 22 July 2026. Photograph: Elijah Nouvelage/Bloomberg via Getty ImagesView image in fullscreenDonald Trump arrives for an event to promote ‘Trump Accounts’ at Wheeler high school in Marietta, Georgia, on 22 July 2026. Photograph: Elijah Nouvelage/Bloomberg via Getty ImagesDonald TrumpAnalysis‘Trump accounts’ promise to mint child millionaires. Experts have their doubtsSteven GreenhousePresident has hyped growth of federal investment accounts to help US children – for his own political gain Since returning to the White House, Donald Trump has scrapped rules that made childcare more affordable and pushed to cut funding for the nation’s public schools. But with midterm elections fast approaching and his approval ratings very low, the US president has repeatedly trumpeted a two-month-old program designed to help the nation’s children. That program, unhumbly named “Trump accounts”, calls for the federal government to give a one-time $1,000 seed deposit to every newborn whose family applies. In campaign speeches this summer, Trump has sought to milk these accounts for maximum political advantage, making big promises about how much these accounts will help the nation’s children. In a speech in Las Vegas last month, Trump hailed the program, saying: “It’s really giving [children] a head start on the American dream… They start off with $1,000 … and they can end up with $100,000, $200,000, $300,000” and if the stock market booms, “you’d end up with $1m”. With these accounts, Trump seems to want to come across as a Santa Claus stuffing $1,000 into every newborn’s stocking (although that money comes from the federal government). He and other Republicans boast that these accounts will significantly lift up all children, including children from low-income families, and also narrow the wealth gap between rich and poor. When Trump kicked off these accounts in early July, the treasury department said: “Trump Accounts level the playing field by allowing every parent to invest in their children’s future, not just wealthy families with trust funds.” A big problem, however, is that many economists say Trump’s claims about these accounts are vastly exaggerated or false. As Trump seeks to excite voters about these accounts, he has hyped how much they will grow, especially with regard to non-affluent families who don’t have the wherewithal to deposit money into these tax-deferred accounts to help their children. In his speeches, Trump sometimes gives the inaccurate impression that a newborn’s account with a $1,000 seed deposit will mushroom to $200,000 or $300,000 by the time the child turns 18, even when that child’s family doesn’t have money to make subsequent deposits. What’s more, “Trump accounts” are likely to increase, not decrease, the wealth gap between rich and poor. These accounts have definite tax advantages for wealthier families, who, unlike most low-income or working-class families, are able to make the maximum $5,000 deposit allowed each year into these tax-deferred accounts. It’s the families rich enough to contribute $5,000 a year who could see their children’s accounts grow to $200,000 or $300,000, far outstripping the accounts of children from poorer families. “This policy is not about giving poor kids a leg up. It’s more likely to widen the gap between rich and poor,” said Justin Wolfers, an economics professor at the University of Michigan, in a video. Kush Desai, a White House spokesperson, said in an email: “Trump Accounts are already shaping up to make a generational difference for working-class children who have not historically benefitted from traditional tax advantaged accounts.” He noted that the billionaires Michael Dell and Ray Dalio, as well as multinational corporations, have “pledged to donate billions of dollars of their wealth to the Trump Accounts of working-class children”. Desai rejected any assertions that the program would increase inequality, saying: “High income parents have always had an array of tools to grow wealth for their kids, but Trump Accounts are giving middle class parents the same opportunity – with billionaires chipping in to help. Only a moron would argue billionaires giving money away to working-class kids will worsen inequality.” The Trump administration has hyped the accounts with extremely optimistic claims. A White House website forecasts that many children with “Trump accounts” will have $271,000 in their account by age 18 and $13m by age 55. That sounds fabulous, but according to Wolfers, those big numbers are based on an impressive 10% annual rate of return for decades – a rate of return that is extraordinarily hard to achieve year after year. Moreover, those higher numbers are for children whose parents put in $5,000 annually until age 18, and then $7,000 a year when their children are in their 20s.

‘Trump accounts’ promise to mint child millionaires. Experts have their doubts
Europe
The Guardian

Amazon raises starting pay to $20 an hour and adds Whole Foods discount

A worker carries an Amazon package in San Francisco, California, on 28 July 2026. Photograph: David Paul Morris/Bloomberg via Getty ImagesView image in fullscreenA worker carries an Amazon package in San Francisco, California, on 28 July 2026. Photograph: David Paul Morris/Bloomberg via Getty ImagesAmazonAmazon raises starting pay to $20 an hour and adds Whole Foods discount Wage increase brings Amazon’s US minimum pay in line with Costco and includes new grocery discount benefit Amazon has raised its minimum wage in the US to $20 an hour, with average pay at the company reaching $24 an hour, according to the company. The company is also expanding employee benefits to grocery discounts, with an uncapped 10% off eligible fresh groceries and everyday essentials on Amazon.com and Whole Foods Market Online, plus 20% off in-store at Whole Foods. The wage increase brings Amazon’s minimum pay in line with Costco, which raised its lowest starting pay to $20 an hour in 2025, with pay for most workers raised to more than $30 an hour. Both retailers have starting pay higher than most competitors. At Target, the starting wage remains $15 an hour, and $14 an hour at Walmart. Amazon has about 1.1 million employees in the US, the second largest private employer behind Walmart. The company has also cited the creation of 390,000 Amazon delivery service provider jobs, which are operated by contractors. “We talk a lot about continuous improvement at Amazon – about always wanting to get better, even when things are going well,” wrote Udit Madan, senior vice-president of worldwide operations at Amazon, in a blogpost announcing the pay increase. “I’m excited about how these investments work together to help our employees and their families continue to thrive for the long run.”

Amazon raises starting pay to $20 an hour and adds Whole Foods discount