DD
MM
YYYY

PAGES

DD
MM
YYYY

spot_img

PAGES

Home Blog Page 6

Taiwan’s AI Boom Drives 11% Growth Forecast, but Heavy Chip Dependence Raises Risks

0

Taiwan is heading for one of its strongest economic expansions in decades as the global artificial intelligence boom drives unprecedented demand for semiconductors and technology products, but economists warn that the double-digit growth expected this year may prove difficult to sustain.

Taiwan’s statistics agency earlier this month raised its 2026 GDP growth forecast to 11.05%, sharply higher than the 9.64% estimate issued in May. The upgrade underscores the scale of the current AI-driven expansion, with Taiwan benefiting from massive investments by global technology companies and surging demand for advanced chips.

The island’s stock market has also reflected the strength of the technology cycle. Taiwan’s weighted stock index has risen more than 56% this year, supported by expectations that spending on AI infrastructure will remain strong.

But economists caution that the extraordinary pace of expansion should not be treated as a new normal.

“I think it is important not to extrapolate the exceptional pace of growth this year too far ahead,” said Saktiandi Supaat, head of FX research at Maybank.

Taiwan’s position at the center of the global semiconductor supply chain has made it one of the biggest beneficiaries of the AI investment boom. Semiconductor manufacturers and suppliers are expanding production and capacity to meet demand for processors used in data centers, AI servers and advanced computing systems.

The same concentration, however, creates a significant vulnerability.

If global technology companies reduce capital expenditure, the effects could move rapidly through Taiwan’s economy, affecting exports, industrial production and business investment.

“If the pace of AI investment slows, this could feed relatively quickly into Taiwan’s exports, manufacturing and investment,” Supaat said.

The concern is becoming more relevant as the AI industry enters a phase of exceptionally high capital spending. Technology companies are investing hundreds of billions of dollars in data centers, advanced processors, networking equipment and electricity infrastructure, creating a powerful demand cycle for Taiwanese manufacturers.

That cycle cannot accelerate indefinitely.

At some point, companies may begin demanding evidence that AI investments are generating sufficient revenue to justify continued spending. A slowdown in data-center construction or a reassessment of expected returns could therefore have a disproportionate impact on Taiwan.

Jeremy Tan, chief executive of Tiger Fund Management, said the country’s exposure to the technology cycle raises questions about the sustainability of its rapid expansion.

The risk extends beyond AI spending.

Taiwan’s dependence on semiconductors leaves its economy exposed to broader global downturns, changes in technology demand and geopolitical tensions. The semiconductor industry is cyclical, and periods of aggressive investment can eventually be followed by inventory corrections and weaker capital expenditure.

A global rise in interest rates could compound those pressures.

Higher inflation or stronger-than-expected economic activity could force central banks to keep borrowing costs elevated for longer. Tighter financial conditions would make it more expensive for companies to finance expansion and could put pressure on technology valuations.

Caroline Wong, country risk analyst at BMI, said tighter global financial conditions could intensify equity-market declines and increase stress in private credit markets.

“For AI startups, the resulting impact of limited refinancing options for tech firms could lead to a slowdown in Taiwan’s investment growth,” Wong said.

That risk has a bearing on Taiwan’s emerging AI ecosystem. Large semiconductor companies may have substantial financial resources and established global customers, but smaller AI companies depend more heavily on venture capital, private credit and continued investor confidence. A prolonged period of high interest rates could therefore affect the next generation of technology companies even while established chipmakers continue to benefit from AI demand.

Geopolitics presents another structural risk.

Taiwan remains at the center of tensions between Beijing and Washington, while the island’s semiconductor industry has become increasingly important to global technology supply chains.

Wong said heightened tensions with Beijing could weaken investor sentiment. Any significant disruption to investment flows could also encourage multinational customers of Taiwanese chipmakers to accelerate efforts to diversify their supply chains.

That diversification is already an important strategic issue for the global semiconductor industry. Governments and technology companies in the United States, Japan and Europe have been encouraging semiconductor production outside Taiwan to reduce their dependence on a single geographic hub.

Taiwan’s dominance in advanced chip manufacturing means it is unlikely to lose its strategic importance quickly. But a gradual diversification of production could reduce the economy’s exposure to the semiconductor sector over time.

There is also a question about how widely the benefits of the AI boom are spreading across the domestic economy.

Nick Marro, principal economist for Asia at the Economist Intelligence Unit, said Taiwan’s booming technology sector has supported private consumption through rising equity markets, but wage growth has remained weak and real wages have stagnated.

“All of this suggests that the dividends from the AI boom aren’t evenly dispersing through the economy, including in ways that would be structurally sustainable,” Marro said.

That creates an important distinction between headline GDP growth and broader economic prosperity. Taiwan can post exceptionally strong GDP figures because semiconductor exports and investment are surging, while households outside the technology sector experience a much less dramatic improvement in purchasing power.

The concentration of wealth and investment in technology could also make domestic demand more vulnerable if the AI cycle turns. A sharp correction in technology stocks could reduce household wealth and business confidence, weakening consumption and investment at the same time.

The longer-term challenge for Taiwan is therefore not simply maintaining its lead in semiconductors but converting that advantage into a broader economic base.

UOB economist Ho Woei Chen said maintaining Taiwan’s technological edge would be critical to sustaining growth.

“This requires continued investment in research and development, talent development, advanced manufacturing capabilities, and next-generation technologies,” Ho said.

That investment will be essential as competition in semiconductors intensifies. Taiwan’s current advantage is based on decades of accumulated expertise, a sophisticated supplier network and a highly developed advanced-manufacturing ecosystem. Maintaining that lead will require continued spending even if the global AI investment cycle becomes less explosive.

The immediate outlook remains strong.

An 11.05% growth forecast places Taiwan among the world’s fastest-growing major economies and highlights how strongly the AI boom is translating into real economic activity. The rise in the stock market also shows how investors continue to price in substantial future demand for Taiwanese technology companies.

But the more important question is what happens after the current investment surge peaks.

If global AI spending continues expanding at a rapid pace, analysts see Taiwan’s semiconductor-heavy economy remaining a major beneficiary. If technology companies begin reducing capital expenditure, the effects could be felt quickly through exports, manufacturing, investment and financial markets.

Taiwan’s economic success has therefore become closely tied to a global technology cycle that it does not control. The island’s semiconductor dominance gives it an enormous advantage in the current AI boom, but it also concentrates risk.

Bitcoin Surges Past $78,000 as Short Liquidations Accelerate Rally

0

Bitcoin has climbed above the $78,000 level, marking a sharp continuation of its multi-day advance and triggering fresh waves of short liquidations across the cryptocurrency market.

The move pushed the largest digital asset to an intraday high near $79,500 before settling in the mid-to-high $77,000 range later in the session, according to market data.

Over the past 24 hours, Bitcoin gained roughly 6–8%, contributing to a weekly advance exceeding 20% from levels near $64,000 earlier in the month.

The rally has been heavily amplified by forced buying from liquidated short positions. Data from tracking platforms showed more than $1 billion in short liquidations in recent 24-hour periods, part of a multi-day total exceeding $4 billion in bearish bets wiped out since the breakout began.

One concentrated burst earlier in the session aligned with reports of approximately $140 million in shorts closed within a single hour as price accelerated through key resistance. Bitcoin accounted for the majority of these liquidations, with additional pressure hitting positions in Ethereum and other major assets.

This short-squeeze dynamic has created a self-reinforcing cycle: rising prices force leveraged bears to cover, which in turn drives further buying and higher prices.

The latest surge follows a similar pattern from the previous day, when Bitcoin broke out of a multi-week range and liquidated billions in shorts amid improving macro conditions, including expanded U.S.

Treasury bond buybacks that eased long-term yields and boosted risk appetite. Spot Bitcoin ETF inflows have also provided underlying support during the advance.

Market participants note that while liquidations can produce rapid moves, sustained progress will depend on continued demand beyond forced covering.

Michaël van de Poppe, the well-known crypto analyst and founder of MN Fund, recently highlighted a striking parallel on Bitcoin’s weekly chart. He noted that the current price action is essentially a copy-and-paste of the 2022 breakout pattern: a period of consolidation followed by a sweep of the lows and then a powerful green weekly candle.

Van de Poppe expects the rally to continue in the near term, with the next technical targets being a sweep of the prior high around $83,000 and a test of the 50-week moving average.

In his view, clearing $83,000 would help confirm that the recent bearish phase is over. At the same time, he does not expect Bitcoin to power through these levels in a single uninterrupted move.

He therefore suggests treating those zones as logical areas for taking some profits and waiting for the inevitable pullbacks that usually follow such advances.

Notably, Bitcoin remains well below its October 2025 all-time high near $126,000 but has reclaimed important technical levels and shifted sentiment decisively higher. Traders are now watching whether the asset can hold gains above $75,000–$78,000 and challenge the psychological $80,000 mark in the coming sessions.

Outlook

Bitcoin’s near-term outlook has turned increasingly bullish as the cryptocurrency establishes itself above the $75,000–$78,000 region and momentum continues to build. The immediate focus for traders is now the psychological $80,000 level, followed by the previous high around $83,000.

However, the strength of the current rally also increases the likelihood of short-term pullbacks. Much of the recent acceleration has been driven by forced short covering, meaning momentum could cool if liquidation-driven buying fades.

Indian Rupee Set For Weekly Loss As Oil Climbs, RBI Intervention Caps Volatility

0

The Indian rupee ended little changed against the dollar on Friday but posted a weekly decline as rising oil prices increased pressure on the currency and investors continued to assess the impact of the Iran war on India’s import bill.

The rupee closed at 95.69 per dollar, almost unchanged on the day and down about 0.3% for the week. It remained above the psychologically important 96-per-dollar level, helped by frequent intervention from the Reserve Bank of India.

Brent crude futures were heading for a second consecutive weekly gain, rising more than 5% during the week to around $92.90 a barrel. Higher oil prices are particularly important for India because the country imports the bulk of its crude requirements, making energy prices a major influence on its trade balance, inflation and demand for dollars.

The RBI’s sustained presence across different parts of the foreign-exchange market has also significantly reduced currency volatility. The rupee’s two-week realized volatility has fallen below 2%, placing it among the least volatile Asian currencies.

The stability, however, does not necessarily indicate that pressure on the rupee has disappeared. Instead, traders say the RBI has been actively smoothing currency movements, limiting both sharp declines and significant gains.

The central bank has also strengthened its ability to manage external pressures through foreign-currency mobilization measures announced in June. Bankers and analysts estimate that the measures have generated more than $50 billion in inflows, while the RBI is expected to attract at least $80 billion through the broader programme.

“With the RBI expecting at least US$80bn from its foreign currency mobilization measures, the external buffer should remain supportive of the INR,” MUFG said in a note.

“However, the record forward position and associated liquidity management suggest that the RBI will continue to prioritize orderly currency movements rather than outright appreciation.”

The RBI’s net forward dollar liabilities stood at $103.3 billion at the end of June, highlighting the extent to which the central bank has been using forward-market operations as part of its currency-management strategy.

RBI Governor Sanjay Malhotra said earlier this week that the central bank’s net forward position was manageable.

“The net forward position that we have right now is very manageable,” Malhotra said in a media interview.

The RBI’s approach means traders are increasingly viewing the rupee through the lens of managed stability rather than a straightforward response to global market movements. A weaker dollar typically provides support to emerging-market currencies, but the rupee has struggled to capture those gains.

A broadly weaker dollar helped lift most Asian currencies on Friday, but the rupee barely moved.

An FX salesperson at a foreign bank said the rupee’s reaction to global developments had become muted because the currency had remained relatively stable even during periods of adverse external conditions.

“The currency’s response to global cues has become muted since it did not weaken in an adverse set up so there is little appetite for gains when conditions improve and importer demand picks up instead,” the salesperson said.

Oil remains the most immediate external risk. With Brent crude approaching $93 a barrel and on course for a weekly gain of more than 5%, any further disruption to energy supplies linked to the Iran war could increase India’s demand for foreign currency to pay for imports.

Higher crude prices can also widen India’s trade deficit and increase imported inflation, potentially complicating monetary policy at a time when policymakers are balancing economic growth against price pressures.

The RBI therefore faces a delicate balancing act. Allowing the rupee to weaken too quickly could amplify the impact of expensive oil on inflation and the current account, while excessive intervention to defend the currency could increase the cost of maintaining foreign-exchange liquidity.

For now, the central bank’s sizeable reserves and foreign-currency mobilization programme provide a substantial buffer. But the combination of elevated oil prices, persistent importer demand and geopolitical uncertainty means pressure on the rupee is likely to remain even as the RBI succeeds in keeping daily moves unusually subdued.

The key distinction for markets is that the RBI appears more focused on preventing disorderly depreciation than engineering a sustained appreciation of the rupee. That policy stance helps explain why the currency has remained relatively stable around the 96-per-dollar threshold while other Asian currencies have responded more sharply to movements in the dollar and global risk sentiment.

Hedge Funds Suffer Worst AI-Driven Reversal In 20 Years As Investors Cut Crowded Tech Bets

0

Hedge funds suffered their sharpest one-month setback against the broader U.S. stock market in more than two decades in July as investors reduced crowded positions in artificial intelligence stocks, marking one of the most significant reversals of the AI trade in recent years, according to Goldman Sachs.

Goldman Sachs strategists led by Ben Snider said the bank’s Hedge Fund VIP basket, which tracks the stocks most widely held as long positions by hedge funds, recorded its worst one-month underperformance against the S&P 500 in more than 20 years of history.

July also produced one of the sharpest episodes of hedge-fund “de-grossing” in the past decade, as funds reduced both long positions and overall exposure to equities.

“Funds trimmed positions in a number of AI stocks, including many semiconductors and most of the mega-caps,” the Goldman strategists said.

The retreat represents a significant shift from the second quarter, when hedge funds increased exposure to the stocks driving the AI rally and generated strong returns as technology companies led the broader market higher.

Goldman said hedge funds entered the latest quarter effectively “all in on AI”, with portfolio turnover reaching its highest level since 2021. The concentration subsequently began to unwind as investors reassessed crowded technology positions and reduced exposure to some of the market’s biggest AI beneficiaries.

“Hedge fund performance, leverage, and the most popular long positions have swung sharply with the AI trade during the last few months,” Goldman said.

The reversal underlines the risk created by the concentration of hedge-fund portfolios around a relatively narrow group of AI-related stocks. As semiconductor companies and mega-cap technology firms became increasingly popular, their performance had an outsized influence on hedge-fund returns.

Goldman said hedge-fund crowding reached a record during the second quarter as the market was driven by popular AI stocks. Technology companies dominated the list of so-called “Rising Stars”, with 14 of the 20 stocks that recorded the largest increases in hedge-fund popularity coming from the technology sector.

That positioning worked in hedge funds’ favor while the AI trade was advancing. When momentum weakened, however, the same concentration amplified the downside.

The July sell-off prompted funds to reduce exposure, a process known as de-grossing. Gross leverage measures a fund’s total long and short exposure, while net leverage measures the difference between those positions. A decline in both indicates that managers were reducing the overall amount of risk in their portfolios rather than simply rotating from one group of stocks to another.

Goldman said hedge-fund gross leverage, net leverage and AI exposure have all declined from their second-quarter highs. However, all three remain above their longer-term averages. That suggests the July adjustment has not amounted to a wholesale abandonment of AI or technology stocks. Rather, hedge funds appear to be reducing the degree of concentration and leverage around the trade after a period in which positioning had become unusually aggressive.

The AI investment cycle remains a major driver of corporate spending, semiconductor demand and technology-sector earnings. The retreat by hedge funds therefore does not necessarily signal that investors have abandoned the long-term AI growth thesis. Instead, it points to growing sensitivity around valuations, crowded positioning and the ability of companies to generate returns from the enormous sums being committed to AI infrastructure.

The performance data also show that hedge funds have so far been able to absorb the volatility. U.S. equity long/short hedge funds were up about 10% through mid-August, according to Goldman.

That gain leaves funds ahead of many traditional investment strategies even after the sharp reversal in July. It also suggests that managers have been able to offset losses in crowded AI positions through short positions, diversification and exposure to other parts of the market.

The latest shift comes at a critical point for technology investors. AI-related companies have driven a substantial portion of the market’s gains, while the semiconductor industry has attracted heavy institutional investment because of expectations for continued demand from data centers and AI accelerators.

But the concentration of capital has also increased the potential for abrupt market moves when investors reassess growth expectations. A simultaneous reduction in positions by highly leveraged funds can accelerate declines in crowded stocks, particularly when liquidity is thin.

Goldman’s assessment therefore points to a broader change in market behavior. The AI trade remains important to hedge-fund portfolios, but managers are becoming less willing to maintain the extreme concentration and leverage that characterized the earlier phase of the rally.

Shein Shifts Hong Kong IPO to September 1 at valuation as low as $26 billion

0

Shein is targeting a Sept. 1 listing in Hong Kong at a valuation of about $26 billion to $27 billion, according to sources cited by SCMP, as the fast-fashion retailer prepares for an initial public offering that would value the company at less than a third of its peak private-market valuation.

The Singapore-headquartered online retailer plans to launch its Hong Kong IPO on Monday, one source familiar with the matter said, with two other sources saying the company is targeting Sept. 1 for the listing. The date remains subject to change, and the listing could take place several days later, one of the sources said. Shein had previously been targeting early August and later an Aug. 28 listing.

The delay, first reported by the South China Morning Post, comes as slower growth and rising costs have made investors more cautious about the company’s prospects.

Shein emerged as one of the most disruptive names in global fashion by combining ultra-low prices with a highly responsive supply chain that allowed it to rapidly introduce new designs and respond to changes in consumer demand. Its model helped the company compete with established retailers such as H&M and Zara while building a large international customer base.

But the conditions that supported its rapid expansion have become more challenging. Slower growth and higher operating costs have reduced the premium investors are willing to place on the business, putting pressure on Shein to accept a much lower valuation in the public market.

The targeted $26 billion to $27 billion valuation is a dramatic reduction from the $100 billion valuation Shein secured in a private fundraising round in 2022. The company had earlier sought a valuation of between $30 billion and $40 billion when investor meetings for the IPO began, making the latest target another indication of how sharply expectations have changed.

The valuation would also place greater emphasis on Shein’s ability to sustain growth and improve profitability as a listed company, rather than on the rapid expansion that drove its private-market valuation several years ago.

UBS Group’s asset-management arm is among the cornerstone investors expected to participate in the IPO, according to a source with direct knowledge of the matter. It would be the first time the asset manager invests in Shein, the source said.

Several of Shein’s existing shareholders are also in discussions to participate as cornerstone investors, although the final list has not been completed, according to the source and another person familiar with the process.

Cornerstone investors typically commit to purchasing a specified amount of shares before an IPO and agree to lock up those holdings for a defined period. In Shein’s case, the lock-up period is six months, according to the sources.

The involvement of major institutional investors could provide support for the offering at a time when Shein is seeking to establish a public-market valuation significantly below its previous private-market peak.

The company is also considering measures to reduce the investment cost for some of its early backers. Public filings show that Shein may offer payouts to existing investors and issue additional shares at a lower conversion price for their holdings. Such measures could help ease the impact of the lower IPO valuation on early investors, although they also highlight the substantial gap between the company’s previous private valuation and what public-market investors appear willing to pay.

Shein’s path to a Hong Kong listing has also been closely watched because of the company’s global footprint and its evolution from a fast-growing online retailer into a major player in the international fashion market.

The IPO would give investors a more transparent way to assess the company’s financial performance after years in which its valuation was largely determined through private fundraising rounds.

The lower valuation target could make the offering more attractive to new investors by reducing the price paid for Shein’s future growth. But it also raises questions about whether the company’s earlier growth trajectory can be restored as competition intensifies and the costs associated with operating its global supply chain rise.

Overall, Shein’s Hong Kong listing would mark a significant transition from a privately held technology-driven retailer to a publicly traded global consumer company. Industry analysts expect the success to be spurred by investors’ belief in the company’s business model’s ability to deliver sustainable growth and margins at a substantially lower valuation.