If you don’t like the price of Bitcoin, wait five minutes, and it will change. The major cryptocurrency’s volatility has been on full display to start the year, this time dipping about 7% since last week to its current price of just under $90,000 as of mid-day Tuesday.

Nine deals that shook the business world

April 2, 2025: Reciprocal tariffs

Trump imposes “reciprocal tariffs” on 57 countries, with each tariff understood as an opening bid in a negotiation. Several countries have since made deals. The one-on-one negotiations, unlike the multilateral system of the past 80 years, can be chaotic for companies and economies

June 13: U.S. Steel “Golden Share”

In return for allowing Nippon Steel to buy U.S. Steel, Trump requires that the U.S. receive several powers over the company, including total power over all the board’s independent directors and vetoes over locations of offices and factories. 

July 10: MP Materials

The U.S. pays $400 million for a large equity share in MP and signs a contract to buy all of MP’s rare earth magnets for 10 years. The reason for the equity stake was not disclosed.

July 14: Nvidia, Part 1

Trump reverses the U.S. ban on selling Nvidia H20 chips to China in exchange for Nvidia paying the U.S. 15% of the revenue.

July 23: Columbia University

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The Trump administration restores $400 million of canceled federal research funding for the university under an unprecedented multipoint deal. For example, Columbia must supply data to the federal government for all applicants, broken down by race, “color,” GPA, and standardized test performance. A few other schools later make similar deals.

August 6: Apple

Bonnie Cash—UPI/Bloomberg/Getty Images

At a public appearance with Trump, CEO Tim Cook announces Apple will invest an additional $100 billion in the U.S. over four years; Trump announces Apple will be exempt from a planned tariff on imported chips that would have doubled the price of iPhones in the U.S.

August 22: Intel

Justin Sullivan—Getty Images

Intel trades the U.S. government a 9.9% equity stake in exchange for $8.9 billion that might already be owed to Intel under the CHIPS and Science Act. The deal is unusual because the company was not in immediate danger or significantly affecting the economy.

December 8: Nvidia, Part 2:

Trump reverses the U.S. ban on selling powerful Nvidia H200 chips in exchange for Nvidia paying the U.S. 25% of the revenue. Both Nvidia deals are unusual because the payments to the U.S., based on exports, appear to be forbidden by the Constitution. 

December 19: Pharma

Alex Wong—Getty Images

Nine pharmaceutical companies make deals with Trump that are intended to lower drug prices. This is unusual because Trump negotiated separate deals with each company, and the terms have not been released.

All eyes this week will be watching President Trump at the World Economic Forum in Davos, where the president has hinted he’ll announce some high-stakes agreements. Expect the unexpected.

A version of this piece appears in the February/March 2026 issue of Fortune.

At the World Economic Forum annual meeting in Davos, Switzerland, Nadella sat for a conversation with the Forum’s interim co-chair, BlackRock CEO Larry Fink, explaining that if AI growth spawns solely from investment, then that could be signs of a bubble. “A telltale sign of if it’s a bubble would be if all we are talking about are the tech firms,” Nadella said. “If all we talk about is what’s happening to the technology side then it’s just purely supply side.”

However, Nadella offers a fix to that productivity dilemma, calling on business leaders to adopt a new approach to knowledge work by shifting workflows to match the structural design of AI. “The mindset we as leaders should have is, we need to think about changing the work—the workflow—with the technology.”

Growing pains

This change is not wholly unprecedented, as Nadella pointed out, comparing the current moment to that of the 1980s, when computing revolutionized the workplace and opened up new opportunities for growth and productivity and created a new class of workers. “We invented this entire class of thing called knowledge work, where people started really using computers to amplify what we were trying to achieve using software,” he said. “I think in the context of AI, that same thing is going to happen.”

Nadella argues that AI creates a “complete inversion” of how information moves through a business, replacing slow, hierarchical processes with a view that forces leaders to rethink their organizational structures. “We have an organization, we have departments, we have these specializations, and the information trickles up,” Nadella said. “No, no, it’s actually it flattens the entire information flow. So once you start having that, you have to redesign structurally.”

That shift may be harder for some Fortune 500 companies as structural changes could be accompanied by uncomfortable growing pains. Nadella says that leaner companies will be able to more easily adopt AI because their organizational structures are fresher and more malleable. On the other hand, large companies could take time to adopt new workflows.

Despite widespread adoption of AI, the 29th edition of PwC’s global CEO survey found that only 10% to 12% of companies reported seeing benefits of the technology on the revenue or cost side, while 56% reported getting nothing out of it. It follows up on an even more pessimistic finding about AI returns from August 2025: that 95% of generative AI pilots were failing.

PwC Global Chairman Mohamed Kande spoke to Fortune’s Diane Brady in Davos about the finding that many CEOs are cautious and lack confidence at this stage of the AI adoption cycle. “Somehow AI moves so fast … that people forgot that the adoption of technology, you have to go to the basics,” he explained, with the survey finding that the companies seeing benefits from AI are “putting the foundations in place.” It’s about execution more than it is about technology, he argued, and good management and leadership are really going to matter going forward.

“For large organizations,” Nadella told Fink, “there’s a fundamental challenge: Unless and until your rate of change keeps up with what is possible, you’re going to get schooled by someone small being able to achieve scale because of these tools.”

New entrants have the advantage of “starting fresh” and constructing workflows around AI capabilities, while larger firms will have to contend with the flattening effect AI has on entire departments and specializations. 

To be sure, Nadella says that large organizations have kept an upper hand, especially when it comes to relationships, data, and know-how. However, he maintains that firms must understand how to use those resources to their advantage to change management style, then that could pose a major roadblock.

“The bottom line is, if you don’t translate that with a new production function, then you really will be stuck,” he said.