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The Federal Reserve’s power: Congress giveth and Congress can taketh away

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The White House’s relentless pressure on the Federal Reserve has kindled a debate on the central bank’s independence and role in the economy.

While President Donald Trump has backed off earlier suggestions that he would fire Fed Chairman Jerome Powell, he continues to demand lower interest rates.

The surprise announcement Friday that Governor Adriana Kugler will step down next week, well ahead of her expected departure in January when her term on the board of governors expires, gives Trump an early start on picking Powell’s replacement.

The president has already said he would nominate a new chair who would lower rates. That’s despite the continued resistance from Powell and most other policymakers to keep rates steady as Trump’s tariffs make their way through the economy and put upward pressure on inflation.

Amid the standoff between the White House and the Fed, Congress has the power to modify the central bank’s authority and mission.

Wharton finance professor Jeremy Siegel highlighted this potential last month, when he told CNBC that Powell may need to resign in order to preserve the Fed’s long-term independence.

His reasoning: if the economy stumbles, then Trump can point to Powell as the “perfect scapegoat” and ask Congress to give him more power over the Fed.

“That is a threat. Don’t forget, our Federal Reserve is not at all a part of our Constitution. It’s a creature of the U.S. Congress, created by the Federal Reserve Act 1913. All its powers devolve from Congress,” Siegel explained. “Congress has amended the Federal Reserve Act many times. It could do it again. It could give powers. It could take away powers.”

In fact, Siegel’s fears may be realized. The economy has flashed sudden warning signs, most notably Friday’s shocking jobs report that showed payroll gains were much weaker than previously thought.

Economists at JPMorgan even cautioned that the report flashes a recession alert as it suggests a sharp decline in labor demand from businesses.

Amending the Fed’s dual mandate

Congress’ leverage over the Fed is not lost on lawmakers. At an Axios event this past week, Sen. Bernie Moreno, R-Ohio, was asked if the Federal Reserve Act needs to be changed or updated.

“There’s a lot of things that we should talk about,” he replied. “For example, should the Federal Reserve be paying interest rates to banks for their overnight deposits? I think that’s a legitimate question that we need to examine a little bit more.”

In addition to paying U.S. banks interest on their reserves, he pointed out that the Fed pays foreign banks to hold money in America, adding “I don’t know that that’s a good plan. Maybe it needs to be lowered.”

Moreno also flagged the Fed’s dual mandate of full employment and price stability, which was established in 1977 when Congress amended the Federal Reserve Act.

He said Congress should take another look at the Fed’s mission, suggesting the mandate should be modified to target maximum employment “at the highest possible wage.”

As for the other piece of the dual mandate, Moreno also said “we need to make certain that we understand what they’re looking at when it comes to inflation.” 

As an example, he noted Powell’s failure to hike rates sooner during the pandemic, when there was a supply shock and a spike in demand from all the stimulus. He also pointed to the Powell’s current reluctance to lower rates despite no indications yet that tariffs have caused a big spike in inflation and while taxes are coming down.

“So it’s, ‘how do you analyze this?’” Moreno explained. “And I think he’s looking at from a very political lens. He should be looking at from a very apolitical lens.”

For his part, he also told Axios earlier in the conversation that he “absolutely” believes in central bank independence but added that Powell could be legitimately fired for being “extraordinarily incompetent.”

Fed independence

Of course, the Fed isn’t completely devoid of any political influence. The president nominates and the Senate confirms members the board of governors, including the chair and vice chair. The Fed chair also must testify before Congress regularly and gets grilled by lawmakers.

At the same time, the Fed was structured to be somewhat insulated from political pressures. Governors have 14-year terms that expire on a staggered scheduled, preventing a single president from completely revamping the board all at once.

Governors also can’t be removed for policy disagreements and can only be ousted “for cause,” which has been interpreted to mean gross neglect of duty or malfeasance.

Regional Fed presidents are also not politically appointed, and the Fed funds its own operations without appropriations from lawmakers.

That’s why Fed independence is a tricky concept, Michael Pugliese, senior economist at Wells Fargo, told Fortune, as it largely derives from a mix of laws, norms, informal agreements and traditions.

“It’s not like there’s an independence clause,” he said. “It’s more that the structure itself is built a little bit independent of the political system.”

Pugliese thinks it’s highly unlikely Congress will amend the Federal Reserve Act to allow for more explicit influence from the White House.

That’s because Democrats wouldn’t go along with it, and Republicans probably wouldn’t get rid of the filibuster rule in the Senate to immediately erode the Fed’s independence, he said.

“Getting rid of the filibuster would probably open the door to tons and tons and tons of other policy discussions on a lot of different issues, not just the Federal Reserve Act.” Pugliese explained. “The filibuster has stuck around as long as it has because both parties have had reasons and cause to not change it. And maybe that changes one day, but I would be very surprised if the thing that changed it was the Fed.”



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The rise of AI reasoning models comes with a big energy tradeoff

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Nearly all leading artificial intelligence developers are focused on building AI models that mimic the way humans reason, but new research shows these cutting-edge systems can be far more energy intensive, adding to concerns about AI’s strain on power grids.

AI reasoning models used 30 times more power on average to respond to 1,000 written prompts than alternatives without this reasoning capability or which had it disabled, according to a study released Thursday. The work was carried out by the AI Energy Score project, led by Hugging Face research scientist Sasha Luccioni and Salesforce Inc. head of AI sustainability Boris Gamazaychikov.

The researchers evaluated 40 open, freely available AI models, including software from OpenAI, Alphabet Inc.’s Google and Microsoft Corp. Some models were found to have a much wider disparity in energy consumption, including one from Chinese upstart DeepSeek. A slimmed-down version of DeepSeek’s R1 model used just 50 watt hours to respond to the prompts when reasoning was turned off, or about as much power as is needed to run a 50 watt lightbulb for an hour. With the reasoning feature enabled, the same model required 7,626 watt hours to complete the tasks.

The soaring energy needs of AI have increasingly come under scrutiny. As tech companies race to build more and bigger data centers to support AI, industry watchers have raised concerns about straining power grids and raising energy costs for consumers. A Bloomberg investigation in September found that wholesale electricity prices rose as much as 267% over the past five years in areas near data centers. There are also environmental drawbacks, as Microsoft, Google and Amazon.com Inc. have previously acknowledged the data center buildout could complicate their long-term climate objectives

More than a year ago, OpenAI released its first reasoning model, called o1. Where its prior software replied almost instantly to queries, o1 spent more time computing an answer before responding. Many other AI companies have since released similar systems, with the goal of solving more complex multistep problems for fields like science, math and coding.

Though reasoning systems have quickly become the industry norm for carrying out more complicated tasks, there has been little research into their energy demands. Much of the increase in power consumption is due to reasoning models generating much more text when responding, the researchers said. 

The new report aims to better understand how AI energy needs are evolving, Luccioni said. She also hopes it helps people better understand that there are different types of AI models suited to different actions. Not every query requires tapping the most computationally intensive AI reasoning systems.

“We should be smarter about the way that we use AI,” Luccioni said. “Choosing the right model for the right task is important.”

To test the difference in power use, the researchers ran all the models on the same computer hardware. They used the same prompts for each, ranging from simple questions — such as asking which team won the Super Bowl in a particular year — to more complex math problems. They also used a software tool called CodeCarbon to track how much energy was being consumed in real time.

The results varied considerably. The researchers found one of Microsoft’s Phi 4 reasoning models used 9,462 watt hours with reasoning turned on, compared with about 18 watt hours with it off. OpenAI’s largest gpt-oss model, meanwhile, had a less stark difference. It used 8,504 watt hours with reasoning on the most computationally intensive “high” setting and 5,313 watt hours with the setting turned down to “low.” 

OpenAI, Microsoft, Google and DeepSeek did not immediately respond to a request for comment.

Google released internal research in August that estimated the median text prompt for its Gemini AI service used 0.24 watt-hours of energy, roughly equal to watching TV for less than nine seconds. Google said that figure was “substantially lower than many public estimates.” 

Much of the discussion about AI power consumption has focused on large-scale facilities set up to train artificial intelligence systems. Increasingly, however, tech firms are shifting more resources to inference, or the process of running AI systems after they’ve been trained. The push toward reasoning models is a big piece of that as these systems are more reliant on inference.

Recently, some tech leaders have acknowledged that AI’s power draw needs to be reckoned with. Microsoft CEO Satya Nadella said the industry must earn the “social permission to consume energy” for AI data centers in a November interview. To do that, he argued tech must use AI to do good and foster broad economic growth.



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SpaceX to offer insider shares at record-setting valuation

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SpaceX is preparing to sell insider shares in a transaction that would value Elon Musk’s rocket and satellite maker at a valuation higher than OpenAI’s record-setting $500 billion, people familiar with the matter said.

One of the people briefed on the deal said that the share price under discussion is higher than $400 apiece, which would value SpaceX at between $750 billion and $800 billion, though the details could change. 

The company’s latest tender offer was discussed by its board of directors on Thursday at SpaceX’s Starbase hub in Texas. If confirmed, it would make SpaceX once again the world’s most valuable closely held company, vaulting past the previous record of $500 billion that ChatGPT owner OpenAI set in October. Play Video

Preliminary scenarios included per-share prices that would have pushed SpaceX’s value at roughly $560 billion or higher, the people said. The details of the deal could change before it closes, a third person said. 

A representative for SpaceX didn’t immediately respond to a request for comment. 

The latest figure would be a substantial increase from the $212 a share set in July, when the company raised money and sold shares at a valuation of $400 billion.

The Wall Street Journal and Financial Times, citing unnamed people familiar with the matter, earlier reported that a deal would value SpaceX at $800 billion.

News of SpaceX’s valuation sent shares of EchoStar Corp., a satellite TV and wireless company, up as much as 18%. Last month, Echostar had agreed to sell spectrum licenses to SpaceX for $2.6 billion, adding to an earlier agreement to sell about $17 billion in wireless spectrum to Musk’s company.

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The world’s most prolific rocket launcher, SpaceX dominates the space industry with its Falcon 9 rocket that launches satellites and people to orbit.

SpaceX is also the industry leader in providing internet services from low-Earth orbit through Starlink, a system of more than 9,000 satellites that is far ahead of competitors including Amazon.com Inc.’s Amazon Leo.

SpaceX executives have repeatedly floated the idea of spinning off SpaceX’s Starlink business into a separate, publicly traded company — a concept President Gwynne Shotwell first suggested in 2020. 

However, Musk cast doubt on the prospect publicly over the years and Chief Financial Officer Bret Johnsen said in 2024 that a Starlink IPO would be something that would take place more likely “in the years to come.”

The Information, citing people familiar with the discussions, separately reported on Friday that SpaceX has told investors and financial institution representatives that it is aiming for an initial public offering for the entire company in the second half of next year.

A so-called tender or secondary offering, through which employees and some early shareholders can sell shares, provides investors in closely held companies such as SpaceX a way to generate liquidity.

SpaceX is working to develop its new Starship vehicle, advertised as the most powerful rocket ever developed to loft huge numbers of Starlink satellites as well as carry cargo and people to moon and, eventually, Mars.



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U.S. consumers are so strained they put more than $1B on BNPL during Black Friday and Cyber Monday

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Financially strained and cautious customers leaned heavily on buy now, pay later (BNPL) services over the holiday weekend.

Cyber Monday alone generated $1.03 billion (a 4.2% increase YoY) in online BNPL sales with most transactions happening on mobile devices, per Adobe Analytics. Overall, consumers spent $14.25 billion online on Cyber Monday. To put that into perspective, BNPL made up for more than 7.2% of total online sales on that day.

As for Black Friday, eMarketer reported $747.5 million in online sales using BNPL services with platforms like PayPal finding a 23% uptick in BNPL transactions.

Likewise, digital financial services company Zip reported 1.6 million transactions throughout 280,000 of its locations over the Black Friday and Cyber Monday weekend. Millennials (51%) accounted for a chunk of the sizable BNPL purchases, followed by Gen Z, Gen X, and baby boomers, per Zip.

The Adobe data showed that people using BNPL were most likely to spend on categories such as electronics, apparel, toys, and furniture, which is consistent with previous years. This trend also tracks with Zip’s findings that shoppers were primarily investing in tech, electronics, and fashion when using its services.

And while some may be surprised that shoppers are taking on more debt via BNPL (in this economy?!), analysts had already projected a strong shopping weekend. A Deloitte survey forecast that consumers would spend about $650 million over the Black Friday–Cyber Monday stretch—a 15% jump from 2023.

“US retailers leaned heavily on discounts this holiday season to drive online demand,” Vivek Pandya, lead analyst at Adobe Digital Insights, said in a statement. “Competitive and persistent deals throughout Cyber Week pushed consumers to shop earlier, creating an environment where Black Friday now challenges the dominance of Cyber Monday.”

This report was originally published by Retail Brew.



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