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U.S. Creates Sovereign Wealth Fund With Potential To Acquire TikTok

In a surprising move, U.S. President Donald Trump has signed an executive order to create a sovereign wealth fund within the next 12 months, which could include the acquisition of the popular short-video app TikTok. The fund’s purpose would be to manage U.S. assets and generate wealth for the nation, with Trump promising it would benefit American citizens.

The sovereign wealth fund could be structured similarly to other such funds in countries across the globe, particularly in the Middle East and Asia, which use them to make direct investments. While the executive order provided little detail on the fund’s operations, it directed the U.S. Treasury and Commerce Departments to submit a comprehensive plan, including funding mechanisms and investment strategies, within 90 days.

Trump has previously expressed support for creating a government-backed investment vehicle during his presidential campaign. He envisioned it as a tool to fund key national projects such as infrastructure, manufacturing, and medical research. The fund would likely be financed through innovative sources, including tariffs, though no clear explanation has been provided yet on its structure or funding.

In contrast to typical sovereign wealth funds, which rely on a country’s budget surplus, the U.S. operates at a deficit, which makes the funding approach more complex. Treasury Secretary Scott Bessent emphasized that the fund’s creation would focus on monetizing U.S. assets, particularly those on the country’s balance sheet. However, many experts believe that the creation of such a fund would require Congressional approval, as it may involve legislation to authorize new funding sources.

The possibility of the fund purchasing TikTok has drawn significant attention. Trump suggested that the fund might acquire the social media platform, which has around 170 million U.S. users, after its ownership by Chinese company ByteDance became a subject of national security concerns. A law mandating ByteDance to sell its U.S. assets or face a ban took effect in January, but Trump has delayed its enforcement by 75 days, citing ongoing negotiations. Trump stated that if a suitable deal could be reached, TikTok would potentially become part of the sovereign wealth fund. However, he also indicated that this was not a certainty, leaving the decision still to be made.

This announcement follows reports that the Biden administration had also explored the idea of establishing a similar fund. However, as Trump’s plan unfolds, it remains uncertain whether it will materialize within the expected timeframe. Sovereign wealth funds manage over $8 trillion globally, and with this new initiative, the U.S. could join the ranks of nations leveraging such funds for national investment purposes.

Retail’s AI Push Faces A Cybersecurity And Regulatory Reality Check

Artificial intelligence is becoming a strategic priority for retailers, with 80% of retail leaders planning to increase investment in the technology, according to EY’s latest CEO Outlook Survey. However, growing concerns over cybersecurity, customer privacy and regulation could complicate adoption across an industry already facing inflation, geopolitical uncertainty and changing consumer expectations.

Confidence In AI Comes With Risks

The survey found that 80% of retail leaders are confident in their ability to expand the responsible use of AI and customer data. Retailers are increasingly applying the technology to demand forecasting, inventory management, customer service and personalised marketing, seeking to improve efficiency and respond more quickly to market changes.

Yet adoption brings new vulnerabilities. EY found that 24% of retail leaders identified cybersecurity and data privacy as a leading business risk for the year ahead. Retailers manage sensitive customer information, payment systems and complex supply chains, making effective security and governance essential as AI becomes more deeply embedded in their operations.

The World Economic Forum’s Global Cybersecurity Outlook 2026 highlights the wider challenge: 87% of organisations reported rising cyber risks linked to AI vulnerabilities, while 94% expected malicious AI to have a significant impact on cybersecurity in 2026.

Regulation Will Shape AI Adoption

Regulatory frameworks are also influencing how quickly retailers can expand their use of AI. The European Union’s AI Act, China’s state-led governance model and measures introduced by individual US states are shaping the rules around the technology.

For retailers, compliance is becoming a strategic consideration, particularly for customer-facing applications that use personal data to personalise offers, automate interactions or analyse consumer behaviour. Regulatory missteps could carry significant costs in a sector where customer trust is critical.

EY Outlines Four Possible Futures

EY recommends that retailers plan for multiple outcomes rather than assume the current investment boom will continue uninterrupted. Its analysis draws on a four-scenario framework developed by Jim Dator of the University of Hawaii.

One scenario envisages constrained AI adoption as economic pressures, regulation, cyberattacks, legacy systems and poor data quality limit progress. Retailers in this environment may prioritise lower-risk back-office applications, such as finance, procurement, inventory and logistics, while customer-facing tools face resistance.

A second scenario anticipates continued growth, with sustained investment and widespread adoption. A third envisages deeper economic and social transformation as technology reshapes business operations. The fourth considers systemic breakdown, in which a small number of technology platforms control access to AI models and charge premium prices, potentially making advanced capabilities less accessible even to large retailers.

Governance Will Determine Competitive Advantage

EY’s findings suggest that investment alone will not determine which retailers benefit most from AI. Companies will also need robust cybersecurity, effective governance and strategies that can adapt to different economic, technological and regulatory conditions.

For a sector operating on tight margins, the challenge is to turn AI investment into lasting business value while managing the risks that come with greater dependence on the technology.

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