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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.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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