The Narrow Path to a U.S.‑Iran Deal Both sides will have to scale back demands, but their history points to a way to get it done
The prospects of a diplomatic deal ending the war between the U.S. and Iran look dim right now. But Middle East veterans say there is a pathway for an agreement if the two sides want to engage. (…)
If both sides decide the costs of the war are becoming unbearable, they could cut an agreement that stops the fighting while deferring decisions on the toughest issues.
“It is possible that the U.S. will continue to insist” that it must achieve all its goals, “but it is also possible that a more minimalist cease-fire could precede a follow-on negotiation that addresses that fuller agenda,” said Michael Singh, a former U.S. National Security Council director for the Middle East now at the Washington Institute.
One route to a cease-fire deal would be to return to some of the ideas the two sides floated in negotiations in February. Those included pausing Iranian enrichment of uranium for several years and forging a regional nonaggression pact in return for sanctions relief that could be phased in as Iran frees up the Strait of Hormuz.
That would leave huge issues still on the table. The U.S. has said Iran’s stockpile of near-weapons-grade uranium needs to be dealt with as part of a cease-fire deal, yet Tehran may want to keep the material in its hands as leverage. The issue of inspections, Iran’s future enrichment rights and the lifting of remaining sanctions would all need to be handled at a later stage.
“It is very difficult to determine the position of the current Iranian leadership,” said Raz Zimmt, director of the Iran program at Israel’s Institute for National Security Studies. “What is clear is that Iran is interested in a cease-fire, but not at any cost.”
He said at a minimum Tehran would want guarantees of no further U.S. or Israeli attacks. “Ultimately, however, it depends mainly on Trump and whether he is willing to cease fire in exchange for an Iranian agreement to reopen the strait,” Zimmt said.
Washington and Tehran have a history of making negotiations happen in the face of seemingly incompatible demands by quietly shelving some of the most contentious points.
The 2015 nuclear deal negotiated under Barack Obama’s administration built in the time delay by restricting Iran’s ability to enrich uranium for 15 years and imposing 25-year limits on other restrictions. It permitted Tehran to continue enriching uranium, a position that for many years Washington had vehemently opposed, and contained none of the strict constraints on Iran’s missile program that U.S. officials had pledged to deliver. (…)
Daniel Shapiro, a former U.S. ambassador to Israel and distinguished fellow at the Atlantic Council, said the U.S. faces significant pressure from Saudi Arabia and the United Arab Emirates to finish the job of destroying Iran’s military threat now that the war has produced a new cadre of hard-line Iranian leaders seeking revenge.
But Washington may need to accept, weeks into the war, that it cannot force Tehran’s surrender, Shapiro said. “It’s certainly plausible that there is a deal in which each side gets parts of its demands met,” he said.
A deal could aim to stop the fighting and reopen the Strait of Hormuz, he said. Issues like arrangements for Iran to dispose of its nuclear materials could be negotiated later. Others, like Iran’s future missile program and support for regional militias, might remain open indefinitely. In return, Iran would only get partial sanctions relief.
That might bring peace, though it would be fragile.
“Wars tend to end messy,” Shapiro said. “If the pain is sufficient that you just want it to end, you can end with a mushy partial arrangement.”
Why this war then?
Israel?
(…) The problem is Trump has no easy options for ending the war, and peace negotiations are at a nascent stage. (…)
Trump told an associate that the war was distracting from his other priorities, one of the people said. (…)
Some people close to Trump are urging him to go harder, saying regime change in Iran could be legacy- defining. (…)
“We see ourselves as part of this negotiation as well,” Defense Secretary Pete Hegseth said Tuesday at an event with Trump. “We negotiate with bombs.” Trump said earlier this week that Hegseth and Gen. Dan Caine, chairman of the Joint Chiefs of Staff, were “quite disappointed” by the prospect that the war could be over soon. “They were not interested in settlement, they were interested in just winning this thing,” Trump said. (…)
Meanwhile, in the U.S., the political landscape for Republicans is difficult going into the midterms. On Tuesday, first-time candidate Emily Gregory flipped a South Florida state-legislative seat that includes Trump’s Mar-a-Lago estate. (…) Gregory’s win is especially bruising for Republicans because Trump actively backed Maples.
Elsewhere in the state, Democrat Brian Nathan claimed victory in the West Tampa race for a state Senate seat vacated when Jay Collins, a Republican, was appointed lieutenant governor. (…)
Boca Raton elected its first Democratic mayor in 45 years in March. And in December, Miami elected its first Democratic mayor in nearly 30 years. (…)
- Including off-year elections last year, Democrats have flipped 30 Republican seats since the start of 2025. (WaPo)
- The White House announced yesterday that he will meet with Chinese President Xi Jinping in Beijing on May 14 and 15.
- Trump Says the Energy Shock Will Be Short-Lived. CEOs Paint a Scarier Picture.
(…) But on the stage and sidelines of a global energy conference in Houston, CEOs painted a much bleaker picture: Financial markets aren’t accurately reflecting the gravity of the crisis, the war is crippling the world’s fuel supplies, and the industry’s Middle East operations are at risk, they said. (…)
Executives say signs of distress are mounting. China has banned fuel exports for March. South Korea instated restrictions on driving for gas-powered vehicles. The Philippines is allowing consumers to use dirtier fuels. Laos cut the number of days children attend school to three days a week. Bangladesh and Pakistan have closed universities or moved classes online.
“There are very real, physical manifestations of the closure of the Strait of Hormuz that are working their way around the world and through the system that I don’t think are fully priced in,” Chevron Chief Executive Mike Wirth said. (…)
Even if the U.S. manages to reopen the Strait of Hormuz, they said, it will take a long time for supplies of oil, fuel, plastics, natural gas and industrial gases—all critical to the global energy system and manufacturing myriad daily essentials—to catch up with demand. (…)
Each passing week tankers can’t traverse the narrow waterway, the world loses 70 million barrels of oil, as well as a host of other products vital for chip manufacturing, medical equipment and consumer goods. Executives said they expect governments across Asia to continue taking measures to cap the amount of oil and natural gas they use.
CEOs said the next regions hit would be Europe and the U.S. West Coast. California imports roughly 75% of its oil, about 20% of its jet fuel and 10% of its gasoline—much of that coming from Asia and the Middle East. California is poised to see fuel shortages if the Strait remains closed in coming weeks, they said.
Asian refineries are running through the crude in their storage tanks and are expected to start cutting production soon. The oil and fuel supplies that California depends on are on track to become harder to find in coming months, said Andy Walz, who runs Chevron’s refining, pipeline and chemical businesses.
“We’re scrambling to find other solutions,” Walz said. “Some countries are releasing strategic oil reserves, like Japan, Korea and the United States. But at some point, those things are going to be gone.” (…)
- The other Strait of Hormuz shock Disruption to commodities far beyond oil and gas will have a long-lasting impact
The damage that could be done to global energy markets by closing the Strait of Hormuz was long anticipated (except, perhaps, in the Oval Office). Less well understood was the fact that the waterway is a vital artery, too, for chemicals, metals and fertilisers.
Disruption to shipping is affecting sectors from AI and semiconductors to mining and food production, compounding the energy shock. And, as with energy supplies, upheavals could persist beyond the end of US and Israeli strikes on Iran.
Take helium. Qatar accounts for about one-third of global supplies of the gas, a byproduct of natural gas production at the vast Ras Laffan field. Not only are exports blocked through the strait but Ras Laffan’s infrastructure has suffered long-lasting damage from Iranian retaliatory strikes.
This is bad news for the semiconductor industry, which uses helium to cool wafers during manufacturing; Taiwan and South Korea get the majority of their supplies from Qatar, whose high-purity helium is not easily substituted. Helium is also important for fibre optics, defence manufacturing and medical imaging (the gas cools MRI scanners).
Semiconductor manufacturing is hit, too, by the disruption to sulphur, of which the Middle East accounts for about 45 per cent of global exports. Sulphuric acid is used for cleaning wafers — and is essential, too, for mining, in the leaching of copper, cobalt and nickel. All three metals are important, in turn, for making batteries for electric vehicles — and even before the Iran conflict, tech and EV demand was creating a sulphur supply squeeze.
The biggest user of sulphur, though, is the fertiliser industry, in phosphorus fertilisers. Even more significant for the global food industry, Gulf states are important sources of urea and ammonia for the nitrogen fertilisers that underpin about half of global food production. Blockages in the strait are leading to surging urea prices and fertiliser shortages, just as the northern hemisphere planting season begins.
Some economists warn that prolonged disruption could create worse problems than Russia’s full-scale invasion of Ukraine in 2022. Some countries have reserves of some of these commodities, but the longer the conflict persists, the more these will be depleted.
Alternative suppliers also exist, but competition is driving up prices. So just as the Ukraine conflict did, the Iran war is likely to reshape trade dependencies. (…)
Across the world, though, the combination of the energy shock and commodity shortages increases the risk of stagflation. And now that Iran has tested its capacity to close the strait — and understood how potent a weapon this can be — it may be tempted to do the same again should new tensions arise.
After reportedly allowing a handful of “non-hostile” vessels to transit the strait after paying undisclosed fees, Iran has hinted it may seek “tolls” in future, adding permanent costs to global supply chains. Industry will need to diversify and find alternative suppliers and supply routes. But some choke points are hard to entirely de-risk — and the Strait of Hormuz is one of them.
- United Airlines’ CEO said airfares may need to climb another 20%, even after double-digit increases in recent weeks, to offset rising fuel costs.
US inflation will surge to 4.2% on energy shock, warns OECD Middle East war to push American price growth to ‘highest in G7’
(…) Rising pressure on consumers would hurt US economic growth, which is expected to slow to 2 per cent this year and 1.7 per cent in 2027, the OECD said. Global growth is forecast to slow from 3.3 per cent last year to 2.9 per cent in 2026, before picking up to 3 per cent next year. (…)
“A prolonged period of disruption could also result in the emergence of significant energy shortages that would lower growth further,” the OECD found. (…)
GDP Growth CPI Inflation
The OECD’s outlook for US inflation is markedly above that of the Fed and many private sector forecasters, partly because it is expecting a more persistent energy price shock and has forecast an ongoing impact from last year’s US tariff increases.
It also judges the US economy to already be tight because of lower immigration. The OECD reports an annual average for inflation, rather than focusing on the fourth quarter, as some other economists do.
The OECD said that in a “downside scenario”, with oil prices hovering at $135 a barrel in the second quarter, global output could be 0.5 per cent weaker than the organisation’s baseline prediction, while consumer prices would be nearly 1 per cent higher. (…)
U.S. Import Prices Climbed in February Overall import prices rose 1.3% in February, higher than the upwardly revised 0.6% increase in January
That result was more than the 0.6% increase expected by a consensus of economists polled by The Wall Street Journal. Year-on-year prices were up 1.3%, the BLS said.
Import prices exclude duties, such as tariffs imposed on imports by the Trump administration, as well as transportation costs.
Petroleum import prices increased 2.5% in February, while prices for nonpetroleum imports were up 1.2%, the BLS data showed.
More important stuff from the BLS release:
Prices for nonfuel imports rose 1.1% MoM in February, following an increase of 0.8% in January and 0.2% in December. That’s 8.7% annualized in the last 3 months, 11.5% in the last 2 months.
Higher prices for imports were driven by
- capital goods;
- nonfuel industrial supplies and materials;
- consumer goods excluding automotives;
- foods, feeds, and beverages; and automotive vehicles, parts and engines.
Or just about everything…
Nonfuel import prices advanced 2.5% YoY 12-month basis, the largest increase since +2.9% in October 2022.
Ex-food and fuel: +1.2% MoM in February after +0.7% and +0.3% in the previous 2 months. That’s 9.1% annualized in the last 3 months, 11.5% in the last 2 months.
Retail goods inflation will soon accelerate:
If you missed the latest PPI release:

The details are in the March 19 Daily Edge.
Prepare for bad surprises as Ed Yardeni illustrates. Note that nothing from the war with Iran is in these numbers.
BTW, the FOMC’s SEP sees core inflation slowing from 2.9% in 2025 to 2.7% in 2026. It was 3.1% in January.
We sure need higher productivity. Yet:
Nonfarm productivity was revised down by 1.0pp to +1.8% in Q4 (quarter-over-quarter annualized) and the year-over-year rate was revised down by 0.3pp to +2.5%. Since 2019Q4, labor productivity has grown at an annualized rate of 2.1%. (GS)
Iran War Is Pushing Consumers to Break Up With Fossil Fuels
(…) Now, a used electric car showroom in San Francisco suggests the tide is turning again. As gasoline prices climb — hitting $6.81 a gallon at a nearby station on Wednesday — a flurry of drivers are making appointments to check out Ever’s lightly used EVs, many priced under $30,000. (…)
Ever is just one dealership, but signs of a shift are playing out across the world. In Southeast Asia, buyers are flocking to Chinese EV giant BYD Co.’s stores, while electric rickshaws are selling out in Pakistan. A shortage of cooking oil in India is driving a run on electric stoves. From Germany to Nigeria, interest in rooftop solar is surging. And in the UK, some homeowners are taking the plunge on expensive heat pumps. (…)
For many, the conflicts in Iran and Ukraine have driven home a harsh reality: the only path to energy security is going electric. (…)
At the same time, though, the Iran war will put a powerful impetus behind green alternatives to oil and gas at almost the precise moment when policies meant to spur decarbonizing technologies had been on the retreat, particularly in the US. With one major difference: The current acceleration of renewable-energy options is largely happening because “they are also homegrown, domestic energy sources,” International Energy Agency Executive Director Fatih Birol told reporters in Sydney on Monday. “The main driver will not be climate change, the main driver will be energy security.” (…)
“A switch was flipped,” said Janik Nolden, chief executive officer of Solarhandel24, which sells solar panels. As temperatures remain chilly in March, calls from prospective buyers have tripled and sales so far have more than doubled from the previous month. (…)
High fuel prices in Europe are also sparking a new wave of interest in EVs. In the UK, car site Autotrader recorded a surge in EV inquiries since the first attacks at the end of February. Leads — expressions of interest passed on to dealers — are up nearly 30% for new electric cars since the beginning of the war, the company said.
In Denmark, used EV searches on Bilbasen, a major online car marketplace, have jumped by as much as 80,000 a week, according to Jan Lang, a marketing executive at the company. That’s more than what the site experienced after the Ukraine war.
[In India], the delays, rising prices and fears of shortages sparked a run on induction stoves. Online sellers on Amazon saw daily sales increase by 30 times, while those on Flipkart rose fourfold, according to local media reports. “We are out of supply but hope to bring back the supply soon enough,” Venkatesh Vijayaraghavan, CEO of cookware brand TTK Prestige Ltd., reassured customers on March 14. (…)
In neighboring Pakistan, solar took off after the Ukraine war. Now, signs are emerging that the latest conflict is hastening the nation’s transition to EVs after the price of gasoline jumped more than 20%. (…)
In Nigeria, tens of millions of people use gasoline-powered generators for electricity. As fuel prices have risen, there’s been a rush for rooftop solar, though the high upfront cost remains a barrier for many. (…)
American online searches for electric cars rose 20% in the first week of the war and dealers have reported more inquiries from buyers. (…)
Still, US carmakers are sticking to their decisions to scale back on EVs even as demand grows in the rest of the world. “It takes four to six months of sustained high oil prices before people start to change their car-buying preferences,” General Motors Chief Financial Officer Paul Jacobson said at a conference last week. “I don’t think we see that, and we certainly don’t see it today.” (…)
Big Returns From AI Investments Are Here, CFOs Say Executives at WSJ’s CFO Council Summit say they are seeing efficiency and productivity gains
Speaking at The Wall Street Journal’s CFO Council Summit in Palo Alto, Calif., finance chiefs from the tech, retail and financial services sectors said their companies are seeing big gains in efficiency and productivity—in some cases worth millions of dollars—from their investments in generative AI. Nudging employees to embrace AI also has yielded new ideas about how to accomplish time-consuming tasks, CFOs said.
Finance chiefs say they are playing a leading role in their company’s AI transformation efforts, evaluating performance, pushing for productivity gains and clearly articulating the value to reluctant employees.
“It’s about ensuring they understand that AI is not going to take your job. People who use AI are going to take your job if you don’t become a power user and understand the value,” Gina Mastantuono, ServiceNow’s president and CFO, said about employee messaging on the topic.
At ServiceNow, AI investments have produced savings worth $355 million, according to Mastantuono. The software company reinvested about two-thirds of those savings, and let about $125 million fall to its bottom line, she said. ServiceNow in 2025 earned $1.75 billion, up 23% from a year earlier.
Shopify said last year in an employee memo that it wouldn’t hire new employees unless managers prove that AI couldn’t do the job, and that AI would be part of employees’ performance reviews. “In order to be, among other things, really successful here, you have to use AI,” CFO Jeff Hoffmeister said, discussing the memo at the event.
Over the last three years, Shopify has held its head count relatively flat, Hoffmeister said. Annual revenue growth over that period has hovered around 30%. The company saw a nearly immediate boost to product innovation after it sent the memo, he said. (…)
At Levi Strauss, a lower-ranking employee created an AI agent to help the company input wholesale orders. Using the agent, Levi’s can finish inputting certain orders within minutes, whereas it used to take days, Chief Financial and Growth Officer Harmit Singh said. The agent also has a much higher accuracy rate, he said.
Employees who previously inputted orders are now focused on collecting receivables, Singh said. “They are upskilling,” he said. (…)
In this paper, we [Atlanta Fed] survey nearly 750 financial executives (“CFOs”) to gather novel data about the use of AI at their firms, which allows us to document new findings about how AI usage has affected and is expected to affect productivity and the size and composition of the workforce for the typical firm adopting AI. (…)
Our data focus primarily on the effects of using AI for the typical company in the economy, shedding light on the early diffusion of AI across firms and its implications for productivity and workforce outcomes, rather than on the relatively small set of firms responsible for developing AI technologies or building large-scale AI infrastructure.
We find that more than half of companies have already invested in AI, but adoption varies widely, with many smaller firms only beginning to invest in 2026. Obstacles to investing in AI include lack of workforce training, a belief that AI technology is not yet sufficiently mature to be beneficial, and concerns about privacy.
Among companies that invest in AI, small firms invest somewhat more intensively per employee than do large firms. Small companies predominantly incur AI-related operating expenses (such as subscriptions to use AI software); large companies also have substantial operating expenditures, but also spend on hardware and internal development to tailor AI tools to their own company needs.
The productivity analysis yields several new findings. First, CFO-reported (that is, perceived) improvements in labor productivity due to AI are substantially larger than the revenue-based productivity gains implied by observed changes in revenue and employment due to AI. This wedge—likely reflecting delayed output realization and quality improvements that are not yet captured in measured revenues—aligns with the classic “productivity paradox,” whereby transformative technologies are widely viewed as important well before their effects are fully reflected in measured productivity.
Second, we find that implied revenue-based labor productivity effects in 2025 are positive, display meaningful sectoral heterogeneity, and are expected to roughly double in 2026. In 2025, firms in high-skill services—particularly finance—experience the largest gains, with implied annual labor productivity growth of about 0.8 percent. Firms in low-skill services, manufacturing, and construction see smaller but still positive gains of roughly 0.4 percent.
These effects are expected to strengthen in 2026, with the largest anticipated increases again concentrated in high-skill services and finance, with implied productivity gains exceeding 2 percent.
Third, we decompose implied labor productivity gains to assess the role of capital deepening (i.e., increased capital/labor) versus other mechanisms driving AI-related revenue growth per employee. We show that at the typical firm, only a small portion of near-term labor productivity gains are driven by capital deepening, reflecting the early stage of AI adoption and the fact that much AI spending—particularly among smaller firms—takes the form of operating expenses rather than capitalized investment.
As a result, residual labor productivity, which we refer to as revenue-based TFP (total factor productivity), accounts for the bulk of observed productivity gains and captures potential improvements in efficiency and product quality, as well as changes in intermediate input use or markups. (…)
We find that productivity gains are most closely associated with innovation- and demand-oriented channels rather than cost reduction alone. In particular, motivations related to developing new or improved products and services, and
reaching or serving customers more effectively, are the strongest and most consistent correlates of both contemporaneous and expected future revenue productivity gains. (…)Our central finding is that, in the near term, AI has not led—and is not expected to lead—to meaningful reductions in aggregate employment. The overall employment effects are small. In particular, firm-size-andsector-weighted aggregate employment is expected to decline by less than 0.4% due to AI in 2026.
At the same time, employment responses are heterogeneous across firm size: large companies expect to shed workers due to AI adoption, whereas smaller firms anticipate modest employment growth associated with AI. (…)
Over the next three years, the share of routine clerical employment is expected to decline by more than 2 percentage points (mostly among large firms), with partially offsetting increases in skilled technical roles (e.g., engineers, data analysts, or scientists) and other positions (mostly among small firms). Thus, the reallocation of the labor force may occur less within-firm and more across the economy. (…)
Office and administrative support roles exhibit the most negative exposure, consistent with the automation of routine clerical activities such as data entry. In contrast, many professional, technical, and sales-related occupations are more frequently described as being enhanced by AI tools, suggesting complementarity with analytical and decision-oriented tasks. (…)
- Companies Say the Risks of ‘Open’ Artificial Intelligence Models Are Worth It Tech leaders say open models are easier to customize, cheaper to run, and security risks are manageable
Nvidia is mobilizing an effort to create “open” artificial intelligence models that make their code publicly available and provide an alternative to proprietary giants such as OpenAI and Anthropic.
The Nemotron Coalition will advance development of frontier-level foundation models through shared expertise, data and compute, Nvidia Chief Executive Jensen Huang said Monday. (…)
Nvidia said the first model built by the coalition will underpin its coming Nemotron 4 family of open models. The coalition will support transparency, collaboration, sovereignty and broader access to intelligence, “ensuring the future of AI is shaped with the world and built for the world,” Huang said.
To date, proprietary developers have largely been in the vanguard of creating frontier models. But open model developers have been closing the gap, led by companies such as Mistral. Open models are generally free for users to download and modify. True open-source models allow full access to training data and code, while open-weight models share the numerical parameters, or “weights,” that underlie them.
Perplexity has gained attention with its AI agent Computer. And early last year, China’s DeepSeek impressed fellow engineers and computer scientists, including Huang. Other open models from China, such as Alibaba Cloud’s Qwen family, have impressed as well, although the models from China have stirred security and governance concerns.
Mistral said Tuesday it was introducing Forge, a system that enterprises can use to build frontier-grade AI models grounded in their proprietary knowledge.
Companies at Nvidia’s annual GTC event this week said open models played crucial roles in their AI initiatives. Leaders from Capital One, ServiceNow and CrowdStrike said they appreciated open model strengths such as customizability and lower cost, even as they grappled with the challenges of making them secure.
So far, proprietary developers have set the standard for frontier models. Now, the market’s emphasis is moving to inference, or the use of trained models by businesses and other users. When it comes to business applications, large and expensive cutting-edge frontier models aren’t always the best tool for the job.
As inference takes off, business demand is growing for smaller, customized and lower-cost models, and that is creating a new opening for the open approach.
Most AI architectures have room for both open and closed models and often assign them different functions.
“At the end of the day,” CrowdStrike Chief Technology Officer Elia Zaitsev said, closed models are “general purpose and very effective, but they are not customizable to specific use cases or niche domains.” (…)
Zaitsev said that thus far much of the open model innovation has come from Chinese companies. They are innovative, but using them poses something of a supply chain risk, he said. For example, they might create a “back door” that an external adversary could take advantage of, he said.
At Capital One, Milind Naphade, head of AI foundations, said using open models like Nvidia’s Nemotron and OpenAI’s GPT-OSS gives the company more control and better performance thanks to the ability to customize on its own data.
“It’s a level of customization that’s simply impossible with…fine-tuning that can be done on closed models,” Naphade said.
Capital One still uses closed models for use cases such as employee productivity, but for customer-facing tools, it opts for open models, according to Naphade. (…)
