Citigroup yesterday lowered its forecast for growth of global PC shipments this year to 13 percent from 15 percent on concerns of slowing demand amid global financial turmoil.
The US brokerage also substantially lowered its growth forecast for next year to 5 percent from a range between 10 percent and 12 percent, Richard Gardner, a Citigroup Global Markets analyst, said in a client note yesterday.
“We expect the sharpest slowing in Europe where several US vendors have already implemented price increases to offset the recent strengthening in the [US] dollar,” Gardner wrote.
The Citigroup analyst also cut his earnings forecast for Dell Inc, Hewlett-Packard Co, IBM Corp and JAVA in the second half of the year and for next year and 2010 to reflect the impact of the global credit crisis and changes in currency values.
Citigroup’s downward adjustments for major US PC vendors are expected to cast a cloud on the outlook for Taiwan’s leading computer contract makers, such as Quanta Computer Inc (廣達電腦), Compal Electronics Inc (仁寶電腦) and Wistron Corp (緯創).
Last month, Compal Electronics president Ray Chen (陳瑞聰) said the world’s second-largest contract laptop maker would lower its shipment forecast to between 28 million and 29 million units this year, down from 32 million units.
Quanta Computer, the No. 1 contract laptop maker, also reduced its forecast to 38 million units this year from 40 million, Bloomberg reported yesterday, citing chief financial officer Tim Li (李杜榮).
CHIP RACE: Three years of overbroad export controls drove foreign competitors to pursue their own AI chips, and ‘cost US taxpayers billions of dollars,’ Nvidia said China has figured out the US strategy for allowing it to buy Nvidia Corp’s H200s and is rejecting the artificial intelligence (AI) chip in favor of domestically developed semiconductors, White House AI adviser David Sacks said, citing news reports. US President Donald Trump on Monday said that he would allow shipments of Nvidia’s H200 chips to China, part of an administration effort backed by Sacks to challenge Chinese tech champions such as Huawei Technologies Co (華為) by bringing US competition to their home market. On Friday, Sacks signaled that he was uncertain about whether that approach would work. “They’re rejecting our chips,” Sacks
It is challenging to build infrastructure in much of Europe. Constrained budgets and polarized politics tend to undermine long-term projects, forcing officials to react to emergencies rather than plan for the future. Not in Austria. Today, the country is to officially open its Koralmbahn tunnel, the 5.9 billion euro (US$6.9 billion) centerpiece of a groundbreaking new railway that will eventually run from Poland’s Baltic coast to the Adriatic Sea, transforming travel within Austria and positioning the Alpine nation at the forefront of logistics in Europe. “It is Austria’s biggest socio-economic experiment in over a century,” said Eric Kirschner, an economist at Graz-based Joanneum
BUBBLE? Only a handful of companies are seeing rapid revenue growth and higher valuations, and it is not enough to call the AI trend a transformation, an analyst said Artificial intelligence (AI) is entering a more challenging phase next year as companies move beyond experimentation and begin demanding clear financial returns from a technology that has delivered big gains to only a small group of early adopters, PricewaterhouseCoopers (PwC) Taiwan said yesterday. Most organizations have been able to justify AI investments through cost recovery or modest efficiency gains, but few have achieved meaningful revenue growth or long-term competitive advantage, the consultancy said in its 2026 AI Business Predictions report. This growing performance gap is forcing executives to reconsider how AI is deployed across their organizations, it said. “Many companies
Taiwan’s long-term economic competitiveness will hinge not only on national champions like Taiwan Semiconductor Manufacturing Co. (TSMC, 台積電) but also on the widespread adoption of artificial intelligence (AI) and other emerging technologies, a US-based scholar has said. At a lecture in Taipei on Tuesday, Jeffrey Ding, assistant professor of political science at the George Washington University and author of "Technology and the Rise of Great Powers," argued that historical experience shows that general-purpose technologies (GPTs) — such as electricity, computers and now AI — shape long-term economic advantages through their diffusion across the broader economy. "What really matters is not who pioneers