WASHINGTON/BEIJING: US President Donald Trump is seeking to impose tariffs on up to $60 billion of Chinese imports and will target the technology and telecommunications sectors, two people who had discussed the issue with the Trump administration said on Tuesday.
A third source who had direct knowledge of the administration’s thinking said the tariffs, associated with a “Section 301” intellectual property investigation, under the 1974 US Trade Act begun in August last year, could come “in the very near future.”
While the tariffs would be chiefly targeted at information technology, consumer electronics and telecoms, they could be much broader and the list could eventually run to 100 products, this person said.
The White House declined to comment on the size or timing of any move.
Trump is targeting Chinese high technology companies to punish China for its investment policies that effectively force US companies to give up their technology secrets in exchange for being allowed to operate in the country, as well as for other IP practices Washington considers unfair.
The Trump administration is also considering imposing investment restrictions on Chinese companies over and above the heightened national security restrictions, but details on these were not immediately known. A US Treasury spokeswoman did not immediately respond to requests for comment.
But lobbyists in Washington expressed concern that Trump’s ambitious tariff plan would also include other labor-intensive consumer goods sectors such as apparel, footwear and toys.
Higher tariffs on these products would “hurt American families,” said Hun Quach, a trade lobbyist for the Retail Industry Leaders Association.
“We’re not talking about fancy cashmere sweaters, we’re talking about cotton T-Shirts and jeans and shoes that kids wear for back-to-school,” she added. “Alarm bells are ringing.”
China runs a $375 billion trade surplus with the United States and when President Xi Jinping’s top economic adviser visited Washington recently, the administration pressed him to come up with a way of reducing that number.
Trump came to office on a promise to shield American workers from imports and his first action as president was to pull the United States out of the 12-country Trans-Pacific Partnership trade deal.
His administration is in the midst of negotiations to revamp the North American Free Trade Agreement (NAFTA) and last week announced the imposition of tariffs on steel and aluminum imports.
While the tariffs on steel and aluminum, announced last week by Trump, are viewed as relatively insignificant in terms of imports and exports, moves to target China directly risk a direct and harsh response from Beijing.
“If this is serious, the Chinese will retaliate. The key question is, does the US retaliate against that retaliation,” said Derek Scissors, a China trade expert at the American Enterprise Institute, a pro-business think tank.
That would spook stock markets, but Scissors said that the more serious the conflict became, the worse China’s position would become, due to the importance of its US trade surplus.
“Their incentive to negotiate is to head us off from a major trade conflict.
Trump eyes tariffs on up to $60 billion Chinese goods
Trump eyes tariffs on up to $60 billion Chinese goods
Saudi-built AI takes on financial crime
- Mozn’s FOCAL reflects the Kingdom’s growing fintech ambitions
RIYADH: As financial institutions face increasingly complex threats from fraud and money laundering, technology companies are racing to build systems that can keep pace with evolving risks.
One such effort is FOCAL, an AI-powered compliance and fraud prevention platform developed by Riyadh-based enterprise artificial intelligence company Mozn.
Founded in 2017, Mozn was established with a focus on building AI technology tailored to regional market needs and regulatory environments. Over time, the company has expanded its reach beyond Saudi Arabia, developing advanced AI solutions used by financial institutions in multiple markets. It has also gained international recognition, including being listed among the World’s Top 250 Fintech Companies for the second consecutive year.
In January 2026, Mozn’s flagship product, FOCAL, was named a Category Leader in Chartis Research’s RiskTech Quadrant 2025 for both AML Transaction Monitoring and KYC (Know Your Customer) Data and Solutions, placing it among 10 companies globally to receive this designation.
Malik Alyousef, co-founder of Mozn and chief technology officer of FOCAL, told Arab News that the platform initially focused on core anti-money laundering functions when development began in 2018. These included customer screening, watchlists, and transaction monitoring to support counter-terrorism financing efforts and the detection of suspicious activity.
As financial crime tactics evolved, the platform expanded into fraud prevention. According to Alyousef, this shift introduced a more proactive model, beginning with device risk analysis and later incorporating tools such as device fingerprinting, behavioral biometrics, and transaction fraud detection.
More recently, FOCAL has moved toward platform convergence through its Financial Crime Intelligence layer, a vendor-neutral framework designed to bring together multiple systems into a single interface for investigation and reporting. The approach allows institutions to gain a consolidated view without replacing their existing technology infrastructure.
“Our architecture eliminates blind spots in financial crime detection. It gives institutions a complete view of the user journey, combining transactional and non-transactional behavioral data,” Alyousef said.
DID YOU KNOW?
• Some electronic money institutions using the platform have reported fraud reductions of up to 90 percent.
• The platform combines anti-money laundering and fraud prevention into a single financial crime intelligence system.
• FOCAL integrates with existing banking systems without requiring institutions to replace their technology stack.
Beyond its underlying architecture, Alyousef pointed to several areas where FOCAL aims to differentiate itself in a competitive market. One is its emphasis on proactive fraud prevention, which assesses risk throughout the customer lifecycle — from onboarding and login behavior to ongoing account activity — with the goal of stopping fraud before losses occur.
He described the platform as an “expert-led model,” highlighting the availability of on-the-ground support for system design, tuning, assessments, and continuous optimization throughout its use.
“FOCAL is designed to be extended,” Alyousef added, noting its adaptability and the ability for clients to customize schemas, rules, and data fields to match their business models and risk tolerance. This flexibility, he said, allows institutions to respond more quickly to emerging fraud patterns.
Alyousef also emphasized the importance of local context in the platform’s development.
“The platform incorporates regional regulatory requirements and language considerations. Global tools often struggle with local context, naming conventions and compliance nuances — we are designed specifically with these realities in mind,” he said.
FOCAL is currently used by a range of organizations, including traditional banks, digital banks, fintech firms, electronic money institutions, payment companies, and other financial service providers. Alyousef said results from live deployments have been significant, with some large EMI clients reporting fraud reductions of up to 90 percent.
“Clients benefit not only from reduced fraud losses but also from an improved customer experience, as the system minimizes unnecessary friction and false rejections,” he said. “Beyond financial services, we also work with organizations in e-commerce and telecommunications.”
Looking ahead, Alyousef said the company sees agentic AI as a key direction for the future of financial crime prevention, both in the region and globally. Mozn, he added, is investing heavily in this area to enhance investigative workflows and operational efficiency, building on the capabilities of its Financial Crime Intelligence layer.
“We are pioneers in introducing agentic AI for financial crime investigation and rule-building. Our roadmap increasingly emphasizes automation, advanced machine learning and AI-assisted workflows to improve investigator productivity and reduce false positives.”
As AI tools become more widely available, Alyousef warned that the risk of misuse by criminals is also increasing, raising the bar for defensive technologies.
“Our goal is to stay ahead of that curve and to contribute meaningfully to positioning Saudi Arabia and the region as globally competitive leaders in AI,” he said.
