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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 Cost Control Emerges As The Next Competitive Advantage

Companies that can control rapidly rising artificial intelligence costs may gain an advantage as AI models become increasingly commoditized, according to PwC.

The professional services firm said AI cost-control tools are becoming widespread and standardized, making them necessary to compete but less useful as a differentiator. Disciplined spending could also free capital for additional AI initiatives and create a compounding advantage.

One global technology company reportedly cut the cost of each AI run by 65% to 80%, allowing it to run three to five times as much AI on the same budget.

Why AI Spending Keeps Rising

Token prices are falling, but total AI spending continues to increase as lower unit costs encourage broader deployment. More workflows can also mean more calls, retries and system dependencies.

“Everyone tries to use AI everywhere, even if it just makes workflows more complex and expensive,” PwC said, noting that access to the same underlying models limits the competitive value of higher spending.

Companies also often lack visibility into token consumption and where waste occurs.

Hidden Costs Add Up

AI expenses can accumulate across planning, tool use, retrieval, reasoning, orchestration, safeguards, logging and review. Indirect infrastructure costs are also often excluded from initial budgets.

Agent-based systems can increase spending further by creating plans, delegating tasks, retrieving information or repeating processes when results fall short.

Model costs vary sharply, with PwC estimating that one million tokens can cost anywhere from pennies to $50. Choosing the cheapest model is not necessarily the best option because weaker systems can create additional work, poor decisions or compliance problems.

Financial Discipline Can Reduce Waste

PwC recommends examining three sources of AI cost overruns: rates, such as supplier price changes; volume, including excessive calls and retries; and mix, meaning the wrong model tier for a task.

Its operating model calls for assessing cost and value before development, redesigning systems to eliminate waste, linking spending to business outcomes and reinvesting savings in additional AI projects.

Companies can reduce costs by limiting unnecessary context, combining tasks into fewer calls, setting spending limits and routing work to the least expensive suitable model. PwC said these controls should be built into AI systems through budget limits, routing rules, workflow thresholds and audit trails.

Human Oversight Still Matters

Automated controls do not replace human oversight. PwC said technology should flag decisions for review and provide the information needed to align actions with business priorities.

In the technology company case study, the approach cut average runtime from 12 hours to four hours while maintaining output quality. PwC recommends tracking the cost of each AI workflow against its business outcome, putting AI spending on the CFO’s agenda and preparing for more outcome-based vendor pricing.

Discipline May Define The Next AI Advantage

PwC said companies should start with their most valuable AI applications, where better cost management and governance can deliver the greatest returns.

“The next round of AI advantage won’t go to whoever runs the most powerful models,” PwC said, noting that many companies will use the same underlying systems.

“Advantage will likely go to whoever runs them with more discipline,” the firm concluded.

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