Category: 3. Business

  • Samsung profit tumbles as it struggles to catch up in the AI chip race

    Samsung profit tumbles as it struggles to catch up in the AI chip race

    Just a few years ago, Samsung Electronics stood as a leading force in the global semiconductor race, dominating one chip sector and eyeing Taiwan’s TSMC in the battle for supremacy in another.

    But recent stumbles – including its failure to capitalize early on the artificial intelligence boom – has left it outmaneuvered, experts say, as the company struggles with deepening market share losses.

    Samsung’s second-quarter operating profit plummeted 55% to 4.7 trillion won ($3.4 billion), down from 10.4 trillion won ($7.5 billion) a year earlier, though its revenue increased slightly compared to the same period last year.

    Operating profit for its chip division, historically a cash cow that used to account for two-thirds of its total profit, shrank by nearly 94% from April to June compared to a year ago.

    It blamed the worse-than-expected performance on inventory value adjustments, low utilization rate for its contract chipmaking business and continued fallout from US export controls on advanced AI chips to China – a key market for Samsung.

    Thursday’s disappointing earnings report reignites concerns about the future of the embattled South Korean tech giant.

    Samsung warned investors of its dismal performance in its earnings projection earlier this month.

    The results come on the heels of a $16.5 billion deal with Tesla, announced this week, to produce its new chips – a move expected to boost Samsung’s outlook.

    Looking ahead for the second half the year, Samsung said it plans to proactively meet the growing demand for high value-added and AI-driven products and continue to strengthen competitiveness in advanced semiconductors.

    South Korea’s largest conglomerate has run into significant headwinds in recent years across both of its key revenue streams: the manufacturing of memory chips, which help devices store data, and logic chips, which power data processing and computation.

    Once the industry’s leading memory chipmaker, Samsung has lost ground to rivals like South Korean SK Hynix and American Micron Technology, particularly in the fast-growing market for high bandwidth memory (HBM) sector. HBM, made up of stacks of DRAM memory chips (dynamic random access memory) used for short-term data storage, are essential for AI processors developed by companies like Nvidia and AMD.

    Meanwhile, Samsung’s logic semiconductor business trails industry leader TSMC both in cutting-edge chip technologies and market share.

    In the first quarter of this year, SK Hynix overtook Samsung to lead the global DRAM market, while TSMC extended its dominance in logic chips with a 68% market share, compared to just 8% for Samsung, according to market research firm TrendForce.

    Sanjeev Rana, head of Korea research at CLSA, a brokerage firm, said a series of “missteps” by Samsung – most notably management’s failure to anticipate the surge in AI demand – has contributed to its current struggles.

    “They were slow to recognize the coming AI revolution, and they bet on some other products, other technologies, which, in hindsight, didn’t turn out to be very good bets,” he said, explaining that Samsung overlooked the potential of HBM initially.

    As a result, Samsung has so far missed out on being a supplier for its most advanced high-bandwidth memory product to Nvidia, which accounts for nearly 80% of global HBM demand last year, according to Rana. The product has repeatedly failed Nvidia’s performance tests, though he expects the company to clear them in the next two months.

    While Samsung announced in June that it managed to secure orders from AMD and Broadcom, rivals SK Hynix and Micron have already begun delivering samples of more advanced memory chips to customers.

    At the same time, Samsung’s logic chip business – once central to its ambition to rival TSMC – is also under mounting pressure. Despite tens of billions of investments over the past few years, the company has been unable to secure meaningful orders for its advanced chips, leading to underutilized facilities, Rana said.

    Last year, CLSA estimated that Samsung’s contract chipmaking business posted an operating loss of 5.6 trillion won ($4.1 billion). That figure is expected to rise to 6.6 trillion won ($4.8 billion) this year.

    US restrictions on the sale of advanced chips to China have also taken a toll on Samsung’s revenue, as shipments to Chinese clients and projects were forced to pause pending regulatory review, said Joanne Chiao, an analyst at TrendForce.

    But with some chips now having cleared the review process, the second quarter is expected to be the most affected period, she added.

    Tesla offered Samsung a lifeline this week. Its CEO Elon Musk announced that the electric vehicle company has tapped the Korean chipmaker to make its new chips for self-driving cars and humanoid robots in a $16.5 billion deal.

    “Samsung’s giant new Texas fab will be dedicated to making Tesla’s next-generation AI6 chip,” he said in a post on X. “Samsung agreed to allow Tesla to assist in maximizing manufacturing efficiency. This is a critical point, as I will walk the line personally to accelerate the pace of progress.”

    Samsung’s shares surged more than 6.9% to reach their highest level since September following news of the deal.

    A general view of the Samsung Austin Semiconductor plant on April 16, 2024 in Taylor, Texas. The U.S. has awarded Samsung $6.4 billion to support the company's chip manufacturing plant in Taylor, Texas in an effort to help further generate domestic production of semiconductors, alongside expanding Samsung's manufacturing plants.

    Tesla currently sources its AI4 chips, which power its advanced driver assistance systems called Full Self-Driving (FSD) software, from Samsung, but it enlisted TSMC to produce its AI5 chips, according to Musk.

    The deal came after Samsung postponed the operational start of its chipmaking plants in Taylor, Texas to 2026 from its original schedule of 2024, as it struggled to win customers for the project.

    Ray Wang, research director focusing on semiconductor industry at Futurum Group, called the deal with Tesla “significant,” saying it could boost Samsung’s struggling profitability and validate its capabilities in producing advanced chips.

    The agreement will also help increase utilization of its Texas facilities, improving the company’s return on investment, he added.

    Rana said that although mass production for the Tesla project won’t begin until 2027, the deal is a boost to market sentiment and represents “a big word of confidence.”

    “The management has done a lot of restructuring for this business in the last 12-15 months or so, so I think they now understand what the problems were, and they have made some efforts to resolving those issues,” he said. “Things will get better from the second half (of the year).”


    Continue Reading

  • Obe-Cel Outcomes by Age; Brexu-Cel Expansion as a Predictor of Relapse-Free Survival in R/R ALL

    Obe-Cel Outcomes by Age; Brexu-Cel Expansion as a Predictor of Relapse-Free Survival in R/R ALL

    Novel therapies, including chimeric antigen receptor (CAR) T cell, have represented an important advancement in treatment for patients with relapsed/refractory (R/R) B-cell acute lymphoblastic leukemia (ALL). However, CAR T-cell therapy comes with some common and serious adverse effects, such as cytokine release syndrome (CRS) and immune effector cell–associated neurotoxicity syndrome (ICANS).

    Research focused on the efficacy and safety of obe-cel across different age groups, and another explored brexu-cel as a consolidation treatment.

    Image credit: Sviatlana – stock.adobe.com

    Research presented at the American Society of Clinical Oncology annual meeting focused on the efficacy and safety of obecabtagene autoleucel (obe-cel) across different age groups, and another explored brexucabtagene autoleucel (brexu-cel) as a consolidation treatment.1,2 The findings underscore the progress being made to deliver effective and manageable therapeutic options for R/R ALL and highlight the potential for broader applicability of CAR T-cell therapies, including in older adult populations.

    Obe-Cel in Older Adults

    A post hoc analysis of the phase 1b/2 FELIX trial (NCT04404660) evaluated the efficacy, safety, and persistence outcomes of obe-cel based on patient age (< 55 years vs ≥ 55 years).1 A total of 127 patients were infused with obe-cel; 62.2% were younger than 55 years (median age, 36.0 years) and 37.8% were 55 years or older (median age, 65.0 years).

    Patients younger than 55 years had higher proportions who were Hispanic/Latino (36.7% vs 18.8%), had extramedullary disease at lymphodepletion (29.1% vs 8.3%), had received prior blinatumomab (53.2% vs 22.9%), and had received prior inotuzumab ozogamicin (35.4% vs 25.0%). However, the older age group had a higher proportion of patients with Philadelphia chromosome–positive disease (47.9% vs 16.5%), and the median bone marrow blast burden at lymphodepletion was higher in the older age group.

    At the median follow-up of 21.5 months, the overall remission rate was 72.2% in the younger group compared with 87.5% in the older group. Similar rates of responders who had at least 1 postinfusion next-generation sequencing achieved measurable residual disease (MRD) negativity by month 3 (84.2% of those < 55 years and 83.3% of those ≥ 55 years). Similarly, event-free survival was comparable at 14.3 months for the younger group and 11.7 months for the older group. CAR T-cell persistence was similar between the groups.

    Grade 3 or higher CRS occurred in 2.5% and 2.1% of patients younger than 55 years and 55 years or older, respectively. ICANS occurred in 5.1% of the younger group and 10.4% in the older group.

    “These findings indicate that obe-cel is effective and has a positive benefit/risk profile regardless of age, including in older adults with R/R [B-cell] ALL…” the researchers concluded.

    Brexu-cel CAR T Expansion in Patients With Low Marrow Blasts

    Among patients with low marrow blast burden (< 5%), there was successful CAR T-cell expansion after treatment with brexu-cel, and it was possible to identify patients likely to have a durable relapse-free survival (RFS).2

    The study, conducted at MD Anderson Cancer Center, included 46 patients being treated with brexu-cel outside of clinical trials. All of the patients had marrow blasts less than 5% and no evidence of extramedullary disease at the time of lymphodepletion. The majority (76%) of patients were MRD negative. At a median of 8 days after infusion, patients reached postinfusion peak CAR T expansion, with the median peak expansion being 13.5 cells/µL.

    The researchers found 15 cells/µL was the peak CAR T expansion threshold to be an optimal predictor for RFS. Half of the patients reached a peak CAR T expansion of at least 15 cells/µL, and the median peak CAR T expansion for the 10 patients who were MRD positive at the time of infusion was 77.5 cells/µL, and 7 of the 10 had a peak expansion of at least 15 cells/µL. The median peak expansion for patients who were MRD negative at the time of infusion was 10 cells/µL, with 44% achieving a peak expansion of at least 15 cells/µL.

    Among the patients who reached a peak expansion of at least 15 cells/µL, 91% remained alive in remission. Among the 23 patients whose peak expansion was less than 15 cells/µL, 65% were alive in remission. The 12-month RFS for all 46 patients was 71%, with a higher RFS for patients with peak expansion of at least 15 cells/µL (86%) compared with expansion less than 15 cells/µL (58%).

    References

    1. Shah B, Yallop D, Jabbour E, et al. Efficacy and safety outcomes of obecabtagene autoleucel (obe-cel) stratified by age in patients (pts) with relapsed/refractory B-cell acute lymphoblastic leukemia (R/R B-ALL). Presented at: ASCO 2025; May 30-June 3, 2025; Chicago, IL. Abstract 6576.

    2. Khaire N, Jabbour E, Short N, et al. Brexucabtagene autoleucel (brexu-cel) as consolidation treatment in adults with B-cell acute lymphoblastic leukemia. Presented at: ASCO 2025; May 30-June 3, 2025; Chicago, IL. Abstract 6543.

    Continue Reading

  • Oil prices gain for fourth day on supply fears from Trump tariff threats – Reuters

    1. Oil prices gain for fourth day on supply fears from Trump tariff threats  Reuters
    2. Oil steadies as market weighs up supply risks  Reuters
    3. WTI holds near $69.00, five-week highs, following Trump’s renewed threat to Russia  Mitrade
    4. Crude Oil’s $69 Surge Still Faces 3-Year Channel Resistance  FOREX.com
    5. The Energy Report: Trump Says Oil Prices Are Low  Investing.com

    Continue Reading

  • How Trump’s tariffs are already impacting Americans

    How Trump’s tariffs are already impacting Americans

    Ben Chu, Daniel Wainwright & Phil Leake

    BBC Verify

    Getty Images Donald Trump holds up a board showing tariff rates to be levelled against countries. He is wearing a dark suit and the image is imposed over the BBC Verify colours. Getty Images

    Donald Trump has delivered a profound shock to the global trading system since returning to the White House.

    The US president announced on 2 April, so-called Liberation Day, a slew of swingeing so-called “reciprocal” tariffs, or import taxes, hitting dozens of countries around the world.

    Many of these have been paused. And since then, Trump has also announced agreements with several partners – including the UK, Vietnam, Japan, and the European Union – which reduce some tariff levels.

    But particular commodities and goods such as automobiles and steel have also been targeted with significant industry-specific tariffs by Washington – and the overall average US tariff rate is at its highest in almost a century.

    The tariffs themselves are ultimately paid by the US companies that bring goods into the country from abroad.

    The impact of all this is being felt in the US and global economy in different ways.

    More tariff revenue for the US government

    The Budget Lab at Yale University estimates that, as of 28 July 2025, the average effective tariff rate imposed by the US on goods imports stood at 18.2%, the highest since 1934.

    That was up from 2.4% in 2024, before Donald Trump returned to office.

    That significant increase means the US government’s tariff revenues have shot up.

    Official US data shows that in June 2025 tariff revenues were $28bn, triple the monthly revenues seen in 2024.

    The Congressional Budget Office (CBO), the independent US fiscal watchdog, estimated in June that the increase in tariff revenue, based on the new US tariffs imposed between 6 January and 13 May 2025, would reduce cumulative US government borrowing in the 10 years to 2035 by $2.5 trillion.

    However, the CBO also judged that the tariffs would shrink the size of the US economy relative to how it would perform without them.

    They also project that the additional revenues generated from the tariffs will be more than offset by the revenue lost due to the Trump administration’s tax cuts over the next decade.

    A widening of the US trade deficit

    Donald Trump regards bilateral trade deficits as evidence that other countries are taking advantage of the US by selling more goods to America than they buy from it.

    One of the justifications for his tariffs is to address that imbalance by curbing imports and forcing other countries to lower their own barriers to US goods.

    However, one of the standout impacts of Donald Trump’s trade war, so far, has been to increase US goods imports.

    This is because US firms stockpiled supplies in advance of tariffs being implemented to avoid being forced to pay the additional tax.

    Meanwhile, US exports have seen only a modest increase.

    The net result is that the US goods trade deficit has widened, not fallen.

    It reached a record $162bn in March 2025, before falling back to $86bn in June.

    The distortion caused by stockpiling will fade, but over the longer term many economists expect the Trump administration will still struggle to bring down the overall US trade deficit.

    That’s because they argue that the deficit is primarily driven by structural imbalances within the US economy – persistent national spending in excess of national production – rather than unfair trade practices directed at America by other nations.

    China is exporting less to America

    Trump imposed punitive tariffs on China, with levies at one stage hitting 145%.

    They have come down to 30% but the impact of those trade hostilities on Chinese trade with America has nevertheless been significant.

    The value of Chinese exports to the US in the first six months of 2025 were down 11% on the same period in 2024.

    Meanwhile, Chinese exports to some of its other trading partners have grown, suggesting Chinese firms have been able to find customers in other countries.

    China’s exports to India this year are up 14% on the same period last year and with the EU and the UK they are up 7% and 8% respectively.

    A chart showing China increasing trade with India, the UK, the ASEAN block, the EU but contracting with the US.

    Also notable is a 13% increase in the value of Chinese exports to the ASEAN nations, which include Vietnam, Thailand, Indonesia and Malaysia, over that period.

    The Trump administration has been concerned about the possibility of Chinese firms attempting to bypass US tariffs on China by setting up operations in neighbouring South East Asian countries – to which they export semi-finished goods – and exporting finished goods to the US from there.

    Such “tariff jumping” occurred when Donald Trump imposed tariffs on Chinese solar panels in his first term and some economists argue the increase in Chinese exports to ASEAN nations could be related to the same phenomenon.

    More trade deals

    Some countries have responded to Trump’s trade war by seeking to deepen trade ties with other countries, rather than by putting up their own barriers.

    The UK and India have signed a trade deal that they were negotiating for three years.

    Norway, Iceland, Switzerland and Liechtenstein – who are in a grouping called the European Free Trade Association (EFTA) – have concluded a new trade deal with a number of Latin American countries in a grouping known as Mercosur.

    The EU is pushing ahead with a new trade deal with Indonesia.

    Canada is exploring a free trade agreement with ASEAN.

    Some countries have also taken advantage of the fracturing of trade between the US and China.

    China has traditionally been a significant global importer of soybeans from the US, which it uses as fodder for its 440 million pigs.

    But in recent years Beijing has been increasingly shifting towards buying its soybeans from Brazil, rather than America, a trend analysts argue has accelerated as a result of Donald Trump’s latest trade war and Beijing’s new retaliatory tariffs on US agricultural imports.

    In June 2025 China imported 10.6 million tons of soybeans from Brazil, but only 1.6 million tons from the US.

    When China put retaliatory tariffs on US soybean imports in Donald Trump’s first term his administration felt the need to directly compensate US farmers with new subsidies.

    US consumer prices are starting to rise

    Economists warn that Trump’s tariffs will ultimately push up US prices by making imports more expensive.

    The official US inflation rate for June was 2.7%. That was up slightly from the 2.4% inflation figure for May, but still below the 3% rate in January.

    Stockpiling in the earlier part of the year has helped retailers absorb the impact of the tariffs without needing to raise retail prices.

    However, economists saw in the latest official data some signs that Trump’s tariffs are now starting to feed through to US consumer prices.

    Certain imported goods such as major appliances, computers, sports equipment, books and toys showed a marked pick up in prices in June.

    Researchers at Harvard University’s Pricing Lab, who are examining the effects of the 2025 tariff measures in real time using online data from four major US retailers, have found that the price of imported goods into the US and domestic products affected by tariffs have been rising more rapidly in 2025 than domestic goods that are not affected by tariffs.

    Additional reporting by Alison Benjamin, Yi Ma, Anthony Myers.

    The BBC Verify banner

    Continue Reading

  • Santos achieves major Pikka phase 1 milestone

    Santos achieves major Pikka phase 1 milestone

    Santos today announced a major milestone for its Pikka phase 1 project with the safe arrival of key processing modules by barge at Oliktok Point, Alaska. This was a complex operation beginning from the Hay River Marine Terminal, Canada, transiting 1,086 miles along the Mackenzie River system to Tuktoyaktuk on the Beaufort Sea, and 380 miles via sea barge from Tuktoyaktuk to Oliktok Point.

    Remaining processing modules are being mobilised from the Pacific northwest and are scheduled to arrive at site during August. The Seawater Treatment Plant (STP), fabricated in Batam, Indonesia, is also currently on tow to Alaska.

    The processing modules and STP will be installed, integrated and then commissioned together with already installed facilities in readiness for first oil.

    Santos Managing Director and Chief Executive Officer Kevin Gallagher said the Pikka phase 1 project continues to make excellent progress.

    “Our highly capable team that delivered early completion of the pipeline in just two winter seasons followed by a successful river-lift of key processing modules, has created the opportunity for early startup and production from Pikka.”

    Mr Gallagher said, “Pikka phase 1 is almost 90 per cent complete and we are currently drilling our 21st well.

    “The Pikka project together with the Barossa LNG project are expected to deliver around a 30 per cent increase in production by 2027. These two world-class projects are expected to set the company up with long-term, stable cash flows to support both returns to shareholders and investment in future production growth.”

    This ASX announcement was approved and authorised for release by Kevin Gallagher, Managing Director and Chief Executive Officer

    Continue Reading

  • DLA Piper advises Demyst on sale to fraud detection fintech unicorn Feedzai

    Global law firm DLA Piper has advised Australian financial services software company Demyst on its sale to Feedzai, a Portuguese fintech specialising in fraud detection. 

    The transaction involved Demyst’s parent company (incorporated in the Cayman Islands) selling its two Australian subsidiaries, as well as assets in the US and Singapore. Approval was required from more than 100 securityholders, including venture capital investors in the US, UK and Singapore, as well as noteholders, warrant holders, and management shareholders.

    Demyst provides a data management platform for financial services, helping banks and lenders assess credit risk using unstructured data. Feedzai’s AI-powered platform helps financial institutions detect and prevent fraud, money laundering, and other financial crimes. Feedzai achieved unicorn status in 2021 following a funding round led by KKR.

    The DLA Piper team was led by Corporate partners David Ryan and Kelly Morrison, with support from senior foreign legal associate Conor Dolphin and solicitor Donna Kwon.

    David Ryan commented: “Having worked with Demyst during their earlier IPO planning, we were well positioned to advise on the legal and structural complexities of this cross-border sale. This transaction required careful coordination across multiple jurisdictions and investor classes, and it highlights the depth of our experience in executing complex, multi-faceted deals.”

    Continue Reading

  • Samsung Q2 profit more than halves on chip slump

    Samsung Q2 profit more than halves on chip slump

    Headquarters of Samsung in Mountain View, California, on October 28, 2018.

    Smith Collection/gado | Archive Photos | Getty Images

    Samsung Electronics on Thursday reported a second-quarter operating profit of 4.7 trillion Korean won, missing expectations, weighed by a 93.8% profit slump in its chip business.

    While Samsung’s second-quarter operating profit beat its own forecast of around 4.6 trillion won, it was a steep drop from the 10.44 trillion won recorded in the same period last year.

    The South Korean technology giant posted a quarterly revenue of 74.6 trillion won, up slightly from 74.07 trillion won a year earlier and beating its forecast of 74 trillion won. 

    Here are Samsung’s second-quarter results compared with LSEG SmartEstimate, which is weighted toward forecasts from analysts who are more consistently accurate:

    • Revenue: 74.6 trillion won ($53.5 billion) vs. 74.43 trillion won 
    • Operating profit: 4.7 trillion won vs. 5.33 trillion won

    Shares of Samsung fell by as much as 1.79% in early trading.

    Notably, its Device Solutions division, which encompasses its memory chip, semiconductor design and foundry business units, recorded a 93.8% drop in operating profit year over year.

    Samsung Electronics’ chip business posted an operating profit of 400 billion won in the second quarter, plunging from 6.45 trillion won in the same period last year. Chip revenue fell to 27.9 trillion won, from 28.56 trillion won last year. 

    “Inventory value adjustments in memory and one-off costs related to the impacts of export restrictions related to China in non-memory had an adverse effect on profit,” the company said in a statement.

    However, speaking in an earnings call, Samsung’s chief financial officer Soon-cheol Park voiced some optimism for the company in the near term.

    “Despite ongoing global economic concerns driven by uncertain trade policies and geopolitical tensions, the IT industry appears poised for a gradual recovery fueled by increasing momentum in AI and robotics,” he said.

    “In this context, we anticipate a rebound in our performance in the second half, following a bottoming out in the second quarter, with the earnings expected to improve steadily as the year progresses,” he added.

    Foundry hopes, memory woes

    Samsung’s foundry business could receive a boost in the following quarters from a $16.5 billion contract to supply chips to a major company in a deal announced on Monday. 

    While Samsung did not initially disclose the counterparty, Tesla CEO Elon Musk has said that it was his American electric vehicle maker, and that the so-called AI6 chips would be made at Samsung’s upcoming fab in Taylor, Texas.  The deal could be even larger than what’s been announced, Musk added. 

    The main aim of the Tesla deal for Samsung could be attracting other potential customers to its foundry business, Nam Hyung Kim, research partner and equity research analyst at Arete, told CNBC.

    However, “production costs at the Taylor site are expected to be significantly higher than those in Korea,” he said, adding that it is far too early to conclude the deal will improve Samsung’s position against market leader Taiwan Semiconductor Manufacturing Company.

    Samsung’s foundry business is currently at a “critical juncture between survival and profitability,” Neil Shah, vice president of research at Counterpoint Research, said in a pre-earnings statement.

    Samsung, meanwhile, has been dealing with increased competition in its memory business, which makes chips used to store data in everything from servers to consumer devices such as smartphones and laptops. The company has traditionally been the market leader in the space.

    But Samsung’s strength in memory is being threatened as it falls behind rival SK Hynix in high bandwidth memory, or HBM — a type of memory used for artificial intelligence computing. 

    A report from Counterpoint Research earlier this month found that SK Hynix had caught up with Samsung’s memory revenues in the second quarter, with both now vying for the top position in the global memory market. 

    In the second half of the year, Samsung said it plans to proactively meet the growing demand for high-value-added and AI-driven products and continue to strengthen competitiveness in advanced semiconductors.

    Galaxy sales lift mobile earnings

    Samsung’s mobile experience and networks businesses, tasked with developing and selling smartphones, tablets, wearables and other devices, reported an uptick in sales and profit.

    The unit posted an operating profit of 3.1 trillion won for the second quarter, compared to 2.23 trillion won during the same period last year. 

    Consolidated revenue for the unit reached 29.2 trillion won, up from 27.38 trillion won last year. 

    Samsung said that both revenue and operating profit grew year over year through robust sales of its Galaxy S25 series and Galaxy A series smartphones, as well as its Galaxy tablets.

    “In H2 2025, the [mobile experience business] plans to continue a flagship-first approach for smartphone sales focusing on foldables and the Galaxy S25 series — while emphasizing the AI functionality of the Galaxy A series — to increase market share,” Samsung added.

    Samsung successfully defended its leading position in the global smartphone market in the second quarter, according to a report from technology research firm Canalys, now part of Omdia. Samsung claimed a 19% market share by unit sales, predominantly thanks to sales of its Galaxy A series.

    Earlier this month, Samsung launched three new folding smartphones as the company looks to keep up with offerings from Chinese rivals.

    Continue Reading

  • The Gulf bets big on AI as it seeks the ‘new oil’

    The Gulf bets big on AI as it seeks the ‘new oil’

    Sameer Hashmi

    Business Correspondent

    Khazna A dark-haired man with a beard stands in front of a large computer in a data centre in the UAE. He holds an open laptop in his left hand and touches his beard with his right. The background is lit by a green glow from the surrounding equipment.Khazna

    The UAE wants to become a hub for AI

    When Donald Trump touched down in the United Arab Emirates (UAE) earlier this year, he arrived not just with headlines, but with deals, ambition, and AI firepower.

    The US president was given a royal welcome, but the real centrepiece of the visit was the announcement of a sprawling new AI campus – a joint UAE-US initiative.

    Billed as the largest AI infrastructure hub outside the US, it symbolised the Gulf’s boldest bid yet to plant itself at the heart of the global AI map.

    Trump’s visit to the Gulf also coincided with a strategic shift, which saw the White House easing restrictions on exporting the most powerful microchips from US firm Nvidia to both the UAE and Saudi Arabia.

    This move underscored how much the US now sees its Gulf allies as partners in a wider technological alliance.

    The Gulf states are deploying their sovereign wealth, geography, and energy edge (lots of oil) to position themselves as AI hubs. Technology is central to their plans to reduce future dependence on earnings from fossil fuels.

    The UAE, in particular, is leading the charge. And data centres lie at the heart of this effort. Abu Dhabi has announced a massive data centre cluster for OpenAI and other US firms as part of the “Stargate” project.

    The multibillion dollar deal is being funded by G42, an Emirati state-linked tech firm driving the country’s AI ambitions. Nvidia will supply its most advanced chips.

    Tech giants Cisco and Oracle, along with Japan’s SoftBank, are also working with G42 to build the first phase.

    “Just like Emirates helped turn the UAE into a global hub for air travel, now the UAE is at a stage where it can become an AI and data hub,” says Hassan Alnaqbi, CEO of Khazna, the UAE’s largest data centre operator.

    Khazna, which is majority owned by G42, is building the infrastructure for Stargate. The company currently operates 29 data centres across the UAE.

    WAM President Donald Trump (L) shakes the the hand of UAE president Sheikh Mohamed bin Zayed Al Nahyan as they unveil a 3D model of the new joint US-UAE AI campus.WAM

    Trump and UAE president Sheikh Mohamed bin Zayed Al Nahyan unveiled a model of the AI campus

    The UAE and Saudi Arabia want to host the data centres needed to train powerful AI models. “Compute is the new oil,” says Mohammed Soliman, senior fellow at the Middle East Institute in Washington DC.

    In the context of AI, compute refers to the vast processing power enabled by high-end chips and large-scale data centres – the kind the Gulf is now investing billions to build.

    In today’s AI-driven world, infrastructure is the new fuel – in the same way oil was in the industrial age.

    Mr Soliman says that just as Gulf-based oil companies powered the global economy in the last century, AI firms in the region now want to offer “compute” to power the global economy of the 21st.

    Gulf sovereign funds have poured billions into foreign tech giants in recent years. But now, they are pivoting from being passive investors to more active players.

    In Saudi Arabia, the Public Investment Fund (PIF) has launched a national AI company – Humain – which plans to build “AI factories” powered by several hundred thousand Nvidia chips over the next five years.

    In the UAE, state-owned investment firm Mubadala has backed G42 and MGFX – a $100bn (£75bn) AI-focused joint venture with Microsoft – and other homegrown initiatives.

    Khazna Hassan Alnaqbi Hassan looks at the camera with his arms crossed. He is wearing the traditional emirati dress - a Kandura - a long white robe.
On his head he wears a white headdress called ghutra and secured in place by a black cord called the agal.

Khazna

    Hassan Alnaqbi says the Gulf’s location between Asia and Europe gives it an advantage

    However, attracting highly-skilled AI talent remains a significant challenge. To address this, the UAE is wooing overseas companies and researchers with low taxes, long-term “golden visas”, and lighter regulation.

    “Building world-class digital and AI infrastructure will act as a magnet,” says Baghdad Gherras, founder of a UAE-based AI start-up and a venture investor.

    Currently, the region has yet to produce a globally recognised AI company like OpenAI, Mistral, or DeepSeek, and it still lacks a deep bench of world-class research talent.

    Mr Gherras points to the UAE’s small population – just over 10 million – as a limiting factor in building a large-scale research ecosystem.

    The emergence of Gulf states as ambitious AI players has brought the US-China tech rivalry to the forefront in the desert.

    Trump’s visit gave Washington a strong lead in the region’s AI race – but at a cost. As part of its strategic pivot, the UAE has scaled back some China-backed projects and reduced its reliance on Huawei hardware.

    The emphasis on AI deals during Trump’s visit underscores the growing strategic importance of the technology to US diplomacy.

    Traditionally, the US-Gulf relationship has centred around oil-for-security. But the dynamic is now shifting toward energy, security – and tech.

    Khazna The exterior of a Khazna data centre in Masdar City, Abu Dhabi - it is white and has a "concertina" appearance. The small figure of a man in a suit is walking in front of it.Khazna

    Khazna currently operates 29 data centres across the UAE

    At the Middle East Institute, Mr Soliman says the AI deals signed during Trump’s visit “are more about China than about the Gulf”.

    “It’s basically us trying to bring a promising, rising AI region – which is the Gulf – into the American AI stack, to be on Team America AI,” he says.

    The “AI stack” refers to the full pipeline of AI capability: chips, infrastructure, models, and software – mostly dominated by US companies.

    Mr Gherras says choosing the US over China was a rational choice.

    “At this stage the Americans are ahead in the AI game. So, it made sense for the UAE to bet on them,” he says.

    However, according to a Reuters report, the multibillion-dollar Stargate deal is still awaiting security clearance, as US officials remain concerned about potential Chinese personnel or technology being involved in UAE data centres.

    Nevertheless, the project is expected to go ahead, with US firms rallying behind it.

    But while the US currently leads in AI, Mr Soliman warns against underestimating China.

    “They’re scaling fast. They already have an AI stack. It may not be as powerful as America’s, but it’s cheaper. And for many countries, good enough is good enough.”

    For now, though, both the US and the Gulf stand to benefit from their cooperation.

    The US gains allies in its quest to outflank the Chinese in the field of AI and compute – the Gulf nations get a powerful partner in their search for a replacement for oil revenues.

    Read more global business stories

    Continue Reading

  • Task-based returns to generative AI: Evidence from a central bank

    Generative AI tools such as GPT-4o are now widely accessible, but there is still limited experimental evidence on how they affect real knowledge work across diverse organisational roles. While existing studies show that AI can improve performance in narrowly defined tasks – such as writing short memos or generating code – we know less about its impact on complex institutional work involving varied task types, levels of specialisation, and departmental contexts.

    To address this, we partnered with the National Bank of Slovakia (NBS) to evaluate the effect of GPT-4o in a structured field experiment. NBS is the country’s central bank and a member of the Eurosystem, and is responsible for monetary policy implementation, financial supervision, and economic analysis. We recruited 101 staff members across departments ranging from research and monetary policy to IT, supervision, and operations. Each participant was asked to complete a two-hour battery of tasks that closely mirrored their day-to-day work and the task-based frameworks from Autor et al. (2003) and Autor (2013).

    The experiment consisted of two components:

    1. Fourteen general tasks covering a wide range of activity types (writing, editing, data classification, analysis) randomly assigned to be completed with or without GPT-4o.
    2. Two domain-specialised tasks, tailored to the participant’s department, again with randomised AI access.

    This experimental design allowed us to cleanly estimate how access to generative AI affects task performance across a broad spectrum of task categories.

    AI improves both quality and speed

    Access to GPT-4o led to large average productivity gains across the board. Task quality improved by 33% to 44%, while task completion time fell by 21%. Nearly all participants (94%) produced higher-quality outputs with AI, and a large majority (80%) completed tasks more quickly.

    Yet the nature of these gains differed by worker skill level:

    • Lower-skill participants benefited most in output quality. With AI, they were able to produce substantially stronger work, in some cases catching up to the baseline performance of higher-skill colleagues.
    • Higher-skill participants experienced the largest time savings, using GPT-4o to complete already high-quality tasks more efficiently.

    To see how these individual gains are distributed across our sample, Figure 1 plots kernel-density estimates of each participant’s AI treatment effect on quality (panel a) and efficiency (panel b) and for (c) for quality on domain-specific tasks.

    Figure 1 Distribution of GPT-4o productivity gains

    Panel (a) Quality effects on generalist tasks 

    Panel (b): Time-saving effects on generalist tasks

    Panel (c) Quality effects on specialist tasks

    While recent research suggests that generative AI disproportionately benefits lower-skill workers (Brynjolfsson et al. 2023, Dell’Acqua et al. 2023, Noy and Zhang 2023), our findings paint a more nuanced picture. We find that lower-skill employees do experience large gains in quality – but higher-skill employees benefit more in terms of speed. Generative AI may thus act as both a quality equaliser and an efficiency multiplier, raising important questions about how organisations structure work, training, and performance evaluation in the AI era.

    AI complements non-routine and specialist tasks

    While panels (a) and (b) of Figure 1 show that nearly everyone benefits, panel (c) reveals a longer right-tail on specialist tasks, highlighting that the biggest payoffs occur when AI meets deep domain expertise.  To understand where AI helps most, we classified each task using a framework grounded in Autor’s (2013) taxonomy and subsequent work in task-based economics. Tasks varied along several dimensions:

    • Routineness: Did the task follow a predictable, structured pattern (e.g. proofreading), or did it require creativity, synthesis, or judgement (e.g. drafting a stakeholder memo)?
    • Specialisation: Did the task require domain-specific knowledge (e.g. monetary policy, banking supervision, IT systems), or was it more general in nature?
    • Cognitive complexity: Did the task require higher-order reasoning, or was it more mechanical?

    Our results across these tasks were striking:

    • On routine tasks, GPT-4o improved outcomes by 24%.
    • On non-routine tasks, performance improved by 58%, a difference of more than one standard deviation.
    • On specialised tasks tailored to the employee’s domain, AI lifted performance by 100–117%, more than double the 36–50% gains seen in generalist tasks.

    These patterns are consistent with the idea that AI is most productive when paired with cognitive complexity and expert context – not when used to automate simple or repetitive tasks.

    Table 1 Average performance by task type and treatment condition

    Task-level returns and worker-task mismatches

    While GPT-4o delivered the largest productivity gains on non-routine and specialist tasks, these tasks were not always assigned to the workers who benefited most from AI. For example, employees in more routine job roles experienced the biggest individual quality improvements from using AI, but often worked on tasks that generated relatively modest returns at the task level.

    This mismatch between who gains most from AI and where AI is most productive created a matching inefficiency.

    To explore this, we simulated a counterfactual reallocation. Keeping staffing and total workload fixed, we reassigned tasks based on each worker’s AI-enhanced comparative advantage – that is, assigning individuals to the task types where their performance improved most with GPT-4o.

    The result: aggregate output increased by 7.3%, without changing headcount or effort.

    This highlights a key managerial insight: adopting AI is only the first step. To unlock its full value, organizations must also reconsider how tasks are assigned – matching tools, people, and work more intentionally.

    Figure 2 Production possibility frontier, with and without generative AI

    This highlights a key managerial insight: adopting AI tools is not enough, organisations must also reconsider who does what in order to fully capture the technology’s potential.

    Five lessons for firms and institutions

    Our findings point to several actionable lessons for organisations aiming to integrate generative AI into knowledge work:

    • Aim AI at its sweet-spot tasks. Generative models deliver their biggest pay-offs on non-routine, cognitively demanding work (writing, synthesis and domain-specific analysis), often doubling performance relative to routine chores. Map where those tasks sit in your workflow and make them the first ports of call for AI deployment.
    • Give everyone the tool, guide them differently. Access should be universal, yet support must vary. Lower-skill staff mostly need quality-boosting prompts, while higher-skill colleagues benefit from efficiency hacks. Tailored training keeps both groups on the productivity frontier.
    • Rewire task allocation, not just software. Because workers in routine roles enjoy the largest personal gains but their tasks gain the least from AI, organisations might want to re-assign people toward the activities where the technology magnifies their comparative advantage.
    • Treat AI as infrastructure and update incentives. Fold model use into performance metrics, career paths and team design – much as previous generations did with spreadsheets and email. Without these complementary adjustments, a quarter of the aggregate productivity dividend remains untapped.
    • Balance speed with safeguards. Faster completion times shrink the natural buffer before deadlines and can tempt over-confidence in AI-generated text. Instituting rigorous validation protocols (peer review, red-team checks, automated fact-verification) protects quality as reliance on AI grows and delivery expectations tighten

    As generative AI tools become embedded in everyday work, the challenge shifts from adoption to integration. Realising the full value of generative AI will depend not just on the technology itself, but on how well organisations align it with human capital and task design.

    References

    Autor, D H (2013), “The “task approach” to labor markets: an overview,” Journal of Labour Market Research 46(3): 185–199.

    Autor, D H, F Levy, and R J Murnane (2003), “The Skill Content of Recent Technological Change: An Empirical Exploration,” The Quarterly Journal of Economics 118(4): 1279–1333.

    Brynjolfsson, E, D Li, and L R Raymond (2023), “Generative AI at Work,” NBER Working Paper 31161.

    Dell’Acqua, F, E III McFowland, E Mollick et al. (2023), “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality,” Working Paper, Harvard Business School.

    Maršál, A and P Perkowski (2025), “A task-based approach to generative AI: Evidence from a field experiment in central banking,” NBS Working Paper.

    Noy, S and W Zhang (2023), “Experimental evidence on the productivity effects of generative artificial intelligence,” Science 381(6654): 187–192.

    Continue Reading

  • Countries failing to act on UN climate pledge to triple renewables, thinktank finds | Renewable energy

    Countries failing to act on UN climate pledge to triple renewables, thinktank finds | Renewable energy

    Most global governments have failed to act on the 2023 UN pledge to triple the world’s renewable energy capacity by the end of the decade, according to climate analysts.

    The failure to act means that on current forecasts the world will fall far short of its clean energy goals, leading to a continued reliance on fossil fuels that is incompatible with the target of limiting global heating to below 1.5C.

    A report by the climate thinktank Ember found that only 22 countries, most within the EU, have increased their renewable energy ambitions since more than 130 signed up to the renewables pact at the UN’s Cop28 climate talks in Dubai almost two years ago.

    This means that the global sum of national renewables targets is now just 2% higher than at Cop28. While this could be enough to double the world’s renewable energy capacity from 2022, to reach 7.4 terawatts (TW) by 2030, governments would fall well below the 11TW needed to meet the UN goal of tripling renewables, according to the analysts.

    “Tripling global renewables capacity by 2030 is the single biggest action this decade to stay on track for the 1.5C climate pathway,” the report said. “Yet, despite the landmark Cop28 agreement to reach 11,000GW of renewables by 2030, national targets remain largely unchanged and fall short of what is needed.”

    The report found that beyond the EU only seven countries have updated their renewable energy goals since the pact was signed, including Mexico and Indonesia, which have watered down their targets.

    Countries that have failed to act include the US, China and Russia, which are some of the world’s largest energy users and together are responsible for almost half of the world’s annual carbon emissions.

    The fate of the world’s renewable energy deal may depend on the actions of Beijing, which is expected to finalise its 15th five-year plan for energy later this year, covering the period 2026-30. Washington and Moscow do not have renewable energy targets for 2030, and according to Ember their political leaders are not expected to set any.

    In India, clean energy targets have also remained unchanged, but the country’s ambition to build 500GW of renewables by 2030 is already aligned with the global goal to triple renewable energy capacity, the thinktank added.

    skip past newsletter promotion

    The country that has showed the greatest renewables ambition since Cop28 is Vietnam, which this year pledged to increase its capacity by 86GW by the end of the decade. Australia and Brazil have promised to increase their homegrown renewables by 18GW and 15GW.

    The UK upgraded its renewable energy plans last year with a pledge to build an extra 7GW of renewable energy by 2030 to reach the Labour government’s target to create a virtually carbon-free electricity system. In Korea, renewables are expected to grow by 9GW by 2030.

    Continue Reading