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China’s SMIC Reports Strong Q1 Profit Surge but Warns of Cloudy Outlook Amid Tariffs and Yield Risks

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Semiconductor Manufacturing International Corp (SMIC) posted a strong financial performance in the first quarter, with profit surging 162% to $188 million and revenue rising 28% year-over-year, driven partly by rush orders from U.S. clients seeking to preempt newly imposed tariffs. However, despite the gains, the results missed analyst expectations, and SMIC’s Hong Kong-listed shares dropped 6.8% following a cautious Q2 forecast.

SMIC, China’s largest chip foundry, said it expects revenue in the second quarter to decline by as much as 6%, citing potential challenges from lower production yields as the company integrates new manufacturing equipment.

Key Financials (Q1 2025):

  • Profit attributable to shareholders: $188 million (vs. $222.4M LSEG estimate)

  • Year-over-year profit growth: +162%

  • Revenue growth: +28%

  • U.S. customer contribution: 12.6% of revenue (up from 8.9% in Q4 2024)

Tariff Impact and Industry Risks:
Co-CEO Zhao Haijun acknowledged the escalating U.S.-China trade tensions, noting that although the current impact is limited—thanks to tariff exemptions and a diversified supply chain—uncertainty looms for the second half of the year.

“If customers cut back purchases due to price increases, the sector could face a hard landing,” Zhao warned.

The company remains largely focused on legacy chips for consumer electronics and home appliances, while advanced chips, such as those powering Huawei smartphones, make up a very small portion of its business. SMIC has not confirmed any production ties to Huawei.

Broader Policy Context:

  • The Trump administration in April approved tariff exclusions on selected Chinese electronics including smartphones, computers, and memory chips, partially easing import pressures for U.S. firms.

  • Meanwhile, Chinese authorities have granted exemptions on some semiconductor imports and are in active talks with the domestic chip sector to mitigate the trade war’s impact.

Despite its strong Q1, SMIC’s outlook reflects the fragility of the global semiconductor supply chain in a climate of geopolitical tension, policy shifts, and technological transition—especially as it scales new equipment and process nodes.

CFPB Ends Supervision of Google Payment, Prompting Google to Drop Lawsuit

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The U.S. Consumer Financial Protection Bureau (CFPB) has officially withdrawn its supervisory designation over Google Payment Corp, reversing a Biden-era initiative aimed at extending oversight to nonbank financial services provided by Big Tech companies.

The decision, first reported by Bloomberg News and confirmed by a Google spokesperson, ends months of legal conflict between the regulator and Alphabet’s financial unit. In response, Google will drop its lawsuit against the CFPB.

The CFPB initially announced in December 2024 that it would begin supervising Google Payment, claiming that the company’s financial services posed risks to consumers. Google promptly challenged the move in court, arguing that the claims were based on a discontinued peer-to-peer (P2P) payment product and a small number of unsubstantiated complaints.

Russell Vought, acting director of the CFPB under the Trump administration, defended the reversal in a May 7 memo, calling the supervision “an unwarranted use of the Bureau’s powers and resources.”

Google spokesperson José Castañeda welcomed the decision, stating:

“It didn’t make sense for the CFPB to supervise a product that never posed any risks and is no longer available in the U.S. We appreciate their common-sense decision to drop this issue.”

Google discontinued its U.S. version of the Google Pay P2P service in June 2024, citing business reasons, well before the CFPB’s supervisory action was announced.

Under the Biden administration, the CFPB had expanded its focus to include tech-driven financial platforms, citing the growing role of companies like Apple, Google, and PayPal in managing consumer transactions outside traditional banking.

The end of the supervision marks a significant policy shift under the Trump administration, reflecting a broader rollback of regulatory scrutiny over nonbank fintech services.

DOGE-Backed Software Revamp to Accelerate U.S. Government Layoffs Amid Musk’s Exit

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A powerful new software tool developed under Elon Musk’s Department of Government Efficiency (DOGE) is set to accelerate mass layoffs across the U.S. federal workforce, just as Musk steps back from the initiative, Reuters reported in an exclusive on Thursday.

The program, a modernized version of the decades-old Pentagon “AutoRIF” (Reduction in Force) system, has been rebranded as the Workforce Reshaping Tool. It promises to drastically reduce the time it takes to process mass layoffs by automating tedious, error-prone manual HR processes used across federal agencies.

With over 260,000 federal workers already laid off, retired early, or bought out since President Trump’s return in January, the system is expected to play a key role in what critics have called an aggressive federal downsizing strategy. Agencies like the Department of Veterans Affairs and the IRS are preparing cuts of up to 80,000 and 40% of their staff respectively.

The revamped software enables bulk data upload, real-time collaboration, and rapid analysis of eligibility for dismissal based on factors like seniority, veteran status, and performance. This is a significant improvement over the old version, which allowed only one user at a time and required manual entry of individual personnel records.

Though DOGE claims to have saved $160 billion through cost-cutting measures, few specifics had been disclosed until now about how technology was aiding that effort. The Workforce Reshaping Tool appears to be the first tangible result of DOGE’s mandate.

The timing is critical: the software is being deployed just as legal challenges and employee reinstatements highlight growing concerns over mistakes and fairness in the layoff process. Experts warn that while automation improves speed, it may amplify systemic flaws.

“If you automate bad assumptions into a process, the scale of the error becomes far greater,” said Don Moynihan of the University of Michigan.

Despite Musk’s planned step back to focus on Tesla and his other companies, analysts believe the automation project he set in motion will continue independently — reshaping the future of federal employment.