Electrek : $1.4B saved: Massachusetts locks in cheaper offshore wind power

$1.4B saved: Massachusetts locks in cheaper offshore wind power

Massachusetts has activated long-term contracts for Vineyard Wind, the state’s first utility-scale offshore wind project. Officials say the move will stabilize prices for 20 years and cut a projected $1.4 billion from customer electricity bills over that period.

The contracts, signed by utilities on behalf of customers, are expected to deliver average direct savings of about 1.4 cents per kilowatt-hour. That’s less than half the peak power prices New England saw during a cold snap this past winter.

The timing matters. During that winter, Vineyard Wind was already feeding electricity into the grid and competing in wholesale markets, and, according to the state, it consistently undercut other sources on price.

Now that the contracts are in effect, those lower prices are locked in.

Vineyard Wind is an 806-megawatt (MW) offshore wind farm that’s about 14 miles off the Massachusetts coast. It started producing electricity in January 2024, after construction began in late 2022. The project reached mechanical completion in Q1 2026.

In 2025 alone, Vineyard Wind installed 624 MW of capacity, helping drive a 261% jump in total US offshore wind capacity that year.

State officials say the project has created nearly 4,000 jobs and generated $1.94 billion in economic output so far.

It’s also expected to cut more than 1.6 million metric tons of carbon emissions annually, roughly equivalent to taking 325,000 gas cars off the road or burning more than 3.7 million barrels of oil.

Why offshore wind matters in winter
Offshore wind is especially valuable in New England because it tends to produce the most electricity when the grid needs it most – during winter months, when demand spikes and natural gas prices can surge.

That dynamic showed up during a week-long deep freeze earlier this year. According to a report from the Acadia Center, wind generation reached near-record levels during the cold snap, helping ease grid pressure.

The same report estimates offshore wind could have saved New England ratepayers at least $400 million during the winter of 2024–25 by lowering wholesale electricity prices by 11% and reducing reliance on volatile natural gas markets.

That’s the bet Massachusetts is making: that locking in offshore wind now can shield customers from the kind of price spikes that have defined recent winters.

Electrek’s Take
This is what offshore wind looks like when it actually shows up on bills.

Massachusetts is lowering wholesale prices during a crunch and has now nailed down long-term contracts that lock in those savings.

Vineyard Wind was already beating other generators on price during peak demand. If offshore wind can consistently deliver during winter peaks, it doesn’t just add clean energy; it also reduces peak-hour costs. And that’s where the real savings show up.

WSJ : Germany Has the Cash to Revitalize Its Economy, but Can’t Seem to Spend It

Germany Has the Cash to Revitalize Its Economy, but Can’t Seem to Spend It
Bureaucracy and capacity bottlenecks are delaying Germany’s $600 billion spending splurge

BERLIN—A mammoth economic stimulus passed last year in Germany was meant to jolt the country—and Europe—out of its economic slumber. The problem: Germans just aren’t good at spending money.

A year on, much of the planned $584 billion infrastructure plan remains unspent, locked behind bureaucratic bottlenecks set up to guard against excessive spending in the notoriously frugal country.

Money from the “Big Berlin Bill”—as Deutsche Bank called it—has yet to show up in a meaningful way. The government’s budget deficit was 2.7% of gross domestic product last year, unchanged from 2024 and about half of that of the U.S.

Running out of patience is Marco Beckendorf, mayor of Wiesenburg. The 44-year-old said he hasn’t received a cent of the $2 million in stimulus money he hoped to invest into road and school repairs and to refurbish an industrial zone for his rural community of 4,200 outside Berlin.

Slow planning processes and uneasiness about public debt are to blame, he said. “We have forgotten how to take on debt.”

While much of the rest of the developed world is swimming in too much debt, Germany is having trouble using just a tiny bit more. The German economy desperately needs priming. It has barely grown since before the Covid-19 pandemic, hammered by soaring energy prices, President Trump’s tariffs and rising competition with China, previously the growth engine for German cars and machinery.


Business confidence hit a six-year low in April, according to a prominent survey, prompting renewed talk that Germany’s economic growth model is broken. Planned overhauls of the country’s expensive welfare state, which could also help growth, are stuck because of disagreements in the government.

Germany’s problems have left Europe without its traditional growth engine just as the region needs to boost spending to counter growing security threats, an increasingly adversarial U.S. and a rapid demographic transition.

Berlin’s infrastructure bonanza was going to change this. The historic spending spree, economists hoped, could turbocharge productivity by upgrading the country’s railways, highways, communication networks, universities and a largely paper-based public administration—all in need of repair after decades of austerity.

“The processes are still way too slow and the incentives aren’t there for civil servants to say, ‘here’s a project, let’s do this’,” said Tobias Hentze, economist at the German Economic Institute, a think tank.

Take the famed German autobahn and wider road networks.

Shortly after parliament enacted the infrastructure bill, red and white barriers began popping up across the capital, shutting down vital arteries. In many cases, the barriers are still there, but little or no roadwork has happened.

Such phantom construction sites are caused by regulations that force public authorities to cut up large public projects into smaller lots and tender them separately. It is meant to ensure small companies can participate in public infrastructure projects. In practice, it is gumming up urgent upgrades.

“It’s utterly absurd,” said Jens Südekum, professor of international economics at Düsseldorf’s Heinrich Heine University and co-author of the stimulus plan. “It’s one of the many sources of friction that the government is trying to eliminate.”

Germany has shown it can get rid of bureaucratic strictures. In 2022, after Russia invaded Ukraine and choked natural gas deliveries to Europe, Berlin suspended planning regulations to build three liquefied natural gas terminals on its northern coast. The projects, which would have normally taken five years, were completed in about 10 months.

A bill in parliament would try to do the same for big infrastructure projects, which can currently stretch into years because of onerous consultation procedures and lengthy court challenges.

“The idea is that if there is a legal challenge, the project still goes on,” said Südekum.


Economists suspect a reason for the lack of uptick in public investments: Some of the money is being spent on running costs rather than new projects.

The Ifo economic institute and the German Economic Institute found in separate studies that Berlin had diverted between 95% and 86% of the funds. One example, said Hentze, was labeling the modernization of public hospitals as investment whereas much of this money was going into operating costs.

A spokeswoman for the finance ministry said that while the investment offensive had only been launched late last year, investments by the federal government had risen 17% in 2025 and were expected to rise another 37% this year. She said Berlin was abiding by the rules parliament had set to define investments.

In private, German officials say some relabeling has happened but nowhere near the level alleged by the institutes. The finance ministry has set up a department to monitor public investment that will inform parliament and has begun publishing updates online.

Meanwhile, delays are already piling up. A new rail tunnel through the Alps will whisk passengers and freight from northern Italy to Munich at speeds of up to 155 miles an hour. But the trains will slow dramatically on reaching the Austrian-German border. While Italy and Austria have mostly finished heavy construction on their sections of the railroad, which is expected to open in 2032, Germany is years behind.

Michael Hetzl, mayor of Mühldorf am Inn in southern Bavaria, isn’t holding his breath. He and public officials have been discussing for decades an upgrade of a critical railroad that runs from the Austrian border through Mühldorf to the Bavarian state capital, Munich, 50 miles away. The investment would convert a mostly single-track, diesel-operated line into a fully electric, double-track high-capacity route.

Hetzl had hoped that the project, which he says is critical for a local cluster of chemical businesses, would be financed by the new federal infrastructure fund. So far, it hasn’t been approved. The town is due to receive €1 million directly from the stimulus fund, which is “good, but not a game-changer,” given that it costs €5 million to build a Kindergarten, Hetzl said.

The mayor recently wrote an open letter to Chancellor Friedrich Merz, complaining that the stimulus money isn’t flowing into vital infrastructure projects.

“We now have plenty of money in Germany,” said Hetzl. “But it isn’t clear how to access it.”

FT : Germany Has the Cash to Revitalize Its Economy, but Can’t Seem to Spend It

Germany Has the Cash to Revitalize Its Economy, but Can’t Seem to Spend It
Bureaucracy and capacity bottlenecks are delaying Germany’s $600 billion spending splurge

BERLIN—A mammoth economic stimulus passed last year in Germany was meant to jolt the country—and Europe—out of its economic slumber. The problem: Germans just aren’t good at spending money.

A year on, much of the planned $584 billion infrastructure plan remains unspent, locked behind bureaucratic bottlenecks set up to guard against excessive spending in the notoriously frugal country.

Money from the “Big Berlin Bill”—as Deutsche Bank called it—has yet to show up in a meaningful way. The government’s budget deficit was 2.7% of gross domestic product last year, unchanged from 2024 and about half of that of the U.S.

Running out of patience is Marco Beckendorf, mayor of Wiesenburg. The 44-year-old said he hasn’t received a cent of the $2 million in stimulus money he hoped to invest into road and school repairs and to refurbish an industrial zone for his rural community of 4,200 outside Berlin.

Slow planning processes and uneasiness about public debt are to blame, he said. “We have forgotten how to take on debt.”

While much of the rest of the developed world is swimming in too much debt, Germany is having trouble using just a tiny bit more. The German economy desperately needs priming. It has barely grown since before the Covid-19 pandemic, hammered by soaring energy prices, President Trump’s tariffs and rising competition with China, previously the growth engine for German cars and machinery.


Business confidence hit a six-year low in April, according to a prominent survey, prompting renewed talk that Germany’s economic growth model is broken. Planned overhauls of the country’s expensive welfare state, which could also help growth, are stuck because of disagreements in the government.

Germany’s problems have left Europe without its traditional growth engine just as the region needs to boost spending to counter growing security threats, an increasingly adversarial U.S. and a rapid demographic transition.

Berlin’s infrastructure bonanza was going to change this. The historic spending spree, economists hoped, could turbocharge productivity by upgrading the country’s railways, highways, communication networks, universities and a largely paper-based public administration—all in need of repair after decades of austerity.

“The processes are still way too slow and the incentives aren’t there for civil servants to say, ‘here’s a project, let’s do this’,” said Tobias Hentze, economist at the German Economic Institute, a think tank.

Take the famed German autobahn and wider road networks.

Shortly after parliament enacted the infrastructure bill, red and white barriers began popping up across the capital, shutting down vital arteries. In many cases, the barriers are still there, but little or no roadwork has happened.

Such phantom construction sites are caused by regulations that force public authorities to cut up large public projects into smaller lots and tender them separately. It is meant to ensure small companies can participate in public infrastructure projects. In practice, it is gumming up urgent upgrades.

“It’s utterly absurd,” said Jens Südekum, professor of international economics at Düsseldorf’s Heinrich Heine University and co-author of the stimulus plan. “It’s one of the many sources of friction that the government is trying to eliminate.”

Germany has shown it can get rid of bureaucratic strictures. In 2022, after Russia invaded Ukraine and choked natural gas deliveries to Europe, Berlin suspended planning regulations to build three liquefied natural gas terminals on its northern coast. The projects, which would have normally taken five years, were completed in about 10 months.

A bill in parliament would try to do the same for big infrastructure projects, which can currently stretch into years because of onerous consultation procedures and lengthy court challenges.

“The idea is that if there is a legal challenge, the project still goes on,” said Südekum.


Economists suspect a reason for the lack of uptick in public investments: Some of the money is being spent on running costs rather than new projects.

The Ifo economic institute and the German Economic Institute found in separate studies that Berlin had diverted between 95% and 86% of the funds. One example, said Hentze, was labeling the modernization of public hospitals as investment whereas much of this money was going into operating costs.

A spokeswoman for the finance ministry said that while the investment offensive had only been launched late last year, investments by the federal government had risen 17% in 2025 and were expected to rise another 37% this year. She said Berlin was abiding by the rules parliament had set to define investments.

In private, German officials say some relabeling has happened but nowhere near the level alleged by the institutes. The finance ministry has set up a department to monitor public investment that will inform parliament and has begun publishing updates online.

Meanwhile, delays are already piling up. A new rail tunnel through the Alps will whisk passengers and freight from northern Italy to Munich at speeds of up to 155 miles an hour. But the trains will slow dramatically on reaching the Austrian-German border. While Italy and Austria have mostly finished heavy construction on their sections of the railroad, which is expected to open in 2032, Germany is years behind.

Michael Hetzl, mayor of Mühldorf am Inn in southern Bavaria, isn’t holding his breath. He and public officials have been discussing for decades an upgrade of a critical railroad that runs from the Austrian border through Mühldorf to the Bavarian state capital, Munich, 50 miles away. The investment would convert a mostly single-track, diesel-operated line into a fully electric, double-track high-capacity route.

Hetzl had hoped that the project, which he says is critical for a local cluster of chemical businesses, would be financed by the new federal infrastructure fund. So far, it hasn’t been approved. The town is due to receive €1 million directly from the stimulus fund, which is “good, but not a game-changer,” given that it costs €5 million to build a Kindergarten, Hetzl said.

The mayor recently wrote an open letter to Chancellor Friedrich Merz, complaining that the stimulus money isn’t flowing into vital infrastructure projects.

“We now have plenty of money in Germany,” said Hetzl. “But it isn’t clear how to access it.”

FT : Start-ups challenge Apple over curbs on AI ‘vibe coding’ apps

Start-ups challenge Apple over curbs on AI ‘vibe coding’ apps
iPhone maker warns about security risks as new software floods its review process

Apple’s handling of “vibe coding” apps is drawing complaints from start-ups and investors who say the tech giant is applying App Store rules erratically as AI tools make it easier to build software.

Replit, valued at $9bn and backed by venture capital group Andreessen Horowitz, said Apple was blocking updates to its iPhone app, while start-up Anything said its app had been repeatedly blocked and had twice been removed after initially being approved.

Their accounts, alongside Apple communications reviewed by the FT, offer a window into how the iPhone maker is responding to the surge in apps that allow users to generate and test software with AI.

Apple said its review process was designed to protect users’ privacy and security and denied a surge in AI-generated apps had slowed approvals.

But start-ups suggest the company is struggling to apply existing App Store rules to a new class of AI tools that can generate, preview and launch software almost instantly.

“We’re in the dark,” Anything founder Dhruv Amin said. “Either they should stop enforcing the rules in this weird way, or they should update the guideline to let this use case emerge.”

The dispute centres on a longstanding App Store rule that bars apps from downloading or installing code that changes their functionality, a restriction Apple says is designed to prevent unvetted software from running on iPhones.

In communications seen by the FT, Apple repeatedly told Anything that features allowing users to preview apps built with AI-generated code breached that rule, under a catch-all prohibition against “downloading code”.

After the company removed the preview feature and resubmitted its app, Apple rejected it again on separate grounds, saying it now offered “minimum functionality”, according to the correspondence.

Apple briefly restored Anything to the App Store in early April before removing it again within a day, citing the original code-downloading restriction.

When contacted by the FT, the iPhone maker did not explain the reversal or say why the app had been approved in the first place.

Other developers have reported similar issues. Replit said it was “surprised and disappointed” at the move to block updates to its app, “given that we have been on the platform for years abiding by their rules”. The start-up said it was “in discussions with Apple” and hoped to resolve the issue. Another app, Vibecode, has also had updates held up.

Other leading vibe-coding companies, such as Lovable and Cursor, have yet to launch their own apps on the iOS mobile platform. Apple polices the software on its mobile store more closely than apps for Mac computers.

According to Sensor Tower, the number of iOS apps released globally in 2025 rose 30 per cent year on year, a sharp acceleration compared with 2024.

There had been a “big upsurge in vibe coding” driven by AI agents that can write and run code, said Anastasios Angelopoulos, chief executive of Arena, an open platform for evaluating AI models. “The barrier to entry for building an app is getting extremely low.”

Apple is embracing the same technology elsewhere in its ecosystem. In February, it updated its developer toolkit, Xcode, to include AI coding agents from groups including Anthropic and OpenAI.

Andreessen Horowitz partner David George said moves to “pump the brakes” on some vibe-coding apps “under the banner of security” risked stifling innovation and competition.

“More surgical enforcement of [the App Store’s] terms should be the priority,” he said.

FT :Detroit carmakers warn of $5bn commodities shock due to Iran war

Detroit carmakers warn of $5bn commodities shock due to Iran war
Sector faces rising prices for supplies from aluminium to plastics and paint

Detroit carmakers have warned that the financial hit from higher commodity prices will rise to $5bn this year as the Middle East war strains the supply chains for materials from aluminium to plastics and paint. 

The Big Three US carmakers, General Motors, Ford and Jeep-owner Stellantis, all flagged commodities inflation as they reported first-quarter earnings, pledging to compensate with greater cost discipline.

They could be forced to cut vehicle discounts and raise prices if the conflict drags on for more than six months given their slim margins, according to analysts. 

“The war in Iran has raised our costs and its duration remains uncertain,” GM’s chief executive Mary Barra said in an earnings presentation this week. She added the group was reducing spending in other areas to counter the rise in oil and other commodity prices.

The Cadillac-maker estimated that commodity inflation — including logistics and higher DRam memory chip costs — could reduce its adjusted operating profit by up to $2bn this year, compared with its earlier forecast of up to $1.5bn. Ford also warned of supply chain costs of up to $2bn, a year-on-year increase of $1bn.

Stellantis, which owns Fiat, Peugeot and Chrysler, said it was mostly hedged against the commodity price increases during the first quarter but projected the impact could reach roughly €1bn ($1.2bn) in 2026.

The estimated $5bn in additional costs from commodity inflation means that its impact will be equivalent to the $6bn hit the carmakers expect from higher US tariffs.

Since Donald Trump’s war with Iran disrupted global shipping by blocking the Strait of Hormuz, carmakers have been insulated from the immediate impact by fixed-price contracts with suppliers.

But if the conflict lasts another two months, more suppliers are expected to push for new terms, with those higher prices coming through in about six months. 

“I think we are past the point where I would say, it’s just a glitch. Just a couple of weeks and it’s back to normal and we just compensate for that cost,” said Albert Waas, automotive partner at consulting firm BCG. 

The biggest pain point for the automotive industry has been aluminium, whose price on the London Metal Exchange has risen as much as 16 per cent since the outbreak of the war. The metal is widely used in vehicles from body panels, engines and doors.

Gerrit Reepmeyer, partner at consultancy AlixPartners, estimated that the rise in aluminium prices could add between $500 and $1,500 to the cost of a vehicle, if it persists and no hedges were applied.

Ford’s chief financial officer Sherry House told investors this week that even before the Iran conflict, “we were already seeing global industry shortages. Then you had the Middle East”.

The company suffered significant disruption to production of its top-selling F-Series pick-up trucks before the war, after a pair of fires at an aluminium plant operated by its supplier Novelis.

Ford has been forced to source aluminium from overseas while Novelis recovers, adding $1bn of costs — including the hit from 50 per cent Section 232 tariffs on the metal.

Those tariffs are distinct from the “liberation day” levies struck down by the US Supreme Court in February, on which carmakers can now seek refunds from the Trump administration. The president on Friday threatened separate tariffs on European-made cars imported into the US.

The rise in oil and gas prices and shortages of naphtha, a material derived from crude oil and used to produce plastics, will also put pressure on various car components from interiors and coatings to rubber tyres. 

“We do expect raw material [costs] to step up further in the remainder of the year, higher than what we anticipated at the beginning of the year,” Mercedes-Benz finance chief Harald Wilhelm told investors this week.

If the war were to continue for a “longer period, we cannot rule out the possibility of bottlenecks in individual commodities,” he added. 

Automakers have also cited higher costs for DRam chips, as memory chip companies shift production away from the less advanced semiconductors used in cars towards chips for AI data centres.

The carmakers will have to decide when to pass these costs on to consumers. The first to raise prices risks sacrificing sales, Waas said.

Consumers are already stretched given elevated vehicle costs following the pandemic, limiting the scope for price rises.

“But obviously at some point you will be just forced to increase prices. And as long as everybody is doing it, you basically keep your market share,” he said.

TechCrunch : Beyond Lovable and Mistral: 21 European startups to watch

Beyond Lovable and Mistral: 21 European startups to watch

Europe should be known for BottleCap AI, not bottle cap memes. With its tongue-in-cheek name, this Prague-based AI startup is one of the teams that VCs think you should know.

It is not that European startups never cut through the noise — Lovable and Mistral AI are proof of it. But there are many more that don’t have nine digits in annual recurring revenue yet and that insiders are still tracking very closely.

That’s where this list comes in. Over the last few weeks, we asked investors at some of Europe’s best known venture funds to recommend two startups each: one from their portfolio (because they liked the startup well enough to invest) and one outside of it (because they are the startup experts but can’t invest in them all). We also threw in a few picks of our own.
From pre-launch to unicorn, these startups are at different stages in their journey, and from different sectors. Due to our methodology, they may not reflect where the region’s hottest hubs are, but they do reflect how deep tech talent could help Europe play its own cards in the AI race.

Alta Ares
Recommended by Julien Codorniou, general partner, 20VC.
What it does: Alta Ares develops AI-powered counter-drone systems.
Why it’s worth watching: Defense tech has gone from pariah to trending, particularly in Europe, where the war in Ukraine was a wake-up call for armies to modernize. Alta Ares’ interceptors answer a need for cheaper solutions to detect and fight drone incursions.
Apron
Recommended by Jan Hammer, partner, Index Ventures (investor).
Why it’s worth watching: SMBs can be a lucrative segment for fintech companies; business owners are willing to spend at least some money to save time, and there are millions of them.

Botify
Recommended by Claire Houry, general partner, Ventech (investor).
What it does: Botify helps brands increase their visibility in AI searches.
Why it’s worth watching: Companies are still scrambling to replace SEO with generative engine optimization (GEO) — but this Disrupt NY 2016 alum has already embraced the shift. Botify has competitors in its new field, such as Otterly.AI and Profound, but also big customers, from Macy’s to The New York Times.

BottleCap AI
Recommended by Julien Codorniou, general partner, 20VC (investor).
What it does: BottleCap AI develops efficiency-focused foundational LLMs and apps.
Why it’s worth watching: With a founding trio that includes an entrepreneur who sold his previous company to Meta and two AI researchers, BottleCap adopted a dual approach. The startup is building its own models and releasing apps built on top of them, including Pulse, an AI-powered news app.

Cailabs
Recommended by Flavia Levi, investment manager, Join Capital.
What it does: Cailabs develops photonics for aerospace, defense, and industrial applications.
Why it’s worth watching: Cailabs is based on advanced research on the science of light, which it now applies to faster and more robust data transmission. Backed by public and private investors, it plans to deploy 50 optical ground stations to support growing demand for laser communications with satellites.
Cailabs’ turnkey optical ground station.Image Credits:Cailabs

Cala
Recommended by TechCrunch’s Anna Heim.
What it does: Knowledge graph for AI agents.
Why it’s worth watching: Cala plans to build the knowledge layer that AI agents are missing. Its founder is Elisenda Bou-Balust, a high-profile Spanish entrepreneur and AI expert who sold her previous company Vilynx to Apple in 2020.

Flower
Recommended by Pär-Jörgen Pärson, partner, Northzone (investor).
What it does: Renewable energy management.
Why it’s worth watching: Wind and solar energy are inherently variable. Flower leverages AI and battery energy storage systems to make their use more predictable. This Swedish company also recently raised over $60 million in bonds to keep on scaling.

Fundamental
Recommended by Jonathan Userovici, general partner, Headline (investor).
What it does: Foundation AI for big data analysis.
Why it’s worth watching: Fundamental’s foundation model, Nexus, focuses on helping enterprises draw insights from their data. The company just emerged from stealth in February, but it is already valued at $1.4 billion following a $255 million Series A.

Gradium
Recommended by Jonathan Userovici, general partner, Headline.
What it does: AI voice models.
Why it’s worth watching: Gradium’s AI models can be used for real-time text-to-speech that gives AI agents a voice in multiple languages. A spinout of French AI lab Kyutai, this ElevenLabs challenger raised a $70 million seed round of its own.

HappyRobot
Recommended by Pablo Ventura, general partner, Kfund.
What it does: AI agents for complex use cases.
Why it’s worth watching: HappyRobot, a startup backed by a16z and Y Combinator, is one of many building AI agents, but its focus is on making sure that these can be deployed and deliver ROI. It is headquartered in the U.S., but its three co-founders and part of its team are Spanish.
Inbolt AI robot in deployment.Image Credits:Inbolt
Inbolt
Recommended by Claire Houry, general partner, Ventech.
What it does: Physical AI for factories.
Why it’s worth watching: Mixing AI and robotics, Inbolt improves and expands automation in manufacturing, from the automotive industry and electronics to home goods production lines. The startup says it is already active in more than 70 factories.

Legora
Recommended by Pär-Jörgen Pärson, partner, Northzone.
What it does: AI platform for lawyers.
Why it’s worth watching: With increased competition from mainstream LLMs, legal tech will also be about marketing. Grab the popcorn for Harvey v. Legora after Legora one-upped its rival by enlisting Jude Law to be the face of its brand. That’s one point for the Swedish-born startup, which is now headquartered in New York but is still one of Stockholm’s rising AI stars.

Macrodata Labs
Recommended by Floriane de Maupeou, principal, Serena Data Ventures.
What it does: AI training data infrastructure.
Why it’s worth watching: “Every strong model starts with great data,” Macrodata Labs claims on its “coming soon” landing page. But the startup won’t build that data; its upcoming platform will provide other companies with tooling to create solid training datasets.

Multiverse Computing
Recommended by TechCrunch’s Julie Bort.
What it does: Offers compressed versions of open weight models like OpenAI, Meta, DeepSeek, and Mistral AI.
Why it’s worth watching: Multiverse Computing‘s tech takes a proven model and makes it smaller and less expensive to operate, especially on a company’s own hardware. Co-founded by CTO Román Orús, a professor at the Donostia International Physics Center, the Spanish startup has raised $250 million.

Optics11
Recommended by Flavia Levi, investment manager, Join Capital (investor).
What it does: Fiber-optic sensing systems.
Why it’s worth watching: Optics11’s technology makes it possible to monitor equipment underwater and in similarly harsh conditions. Its potential in preventing disruptions to subsea infrastructure and energy grids helped the startup secure venture debt from the European Investment Bank.

Pennylane
Recommended by Jan Hammer, partner, Index Ventures.
What it does: Finance management platform for SMBs.
Why it’s worth watching: Pennylane started out with accounting, but it has bigger plans. Like many other growth-stage fintechs, this French unicorn has expanded its scope, with the ambition to build a unified financial operating system for SMBs in Europe.

PLD Space
Recommended by TechCrunch’s Anna Heim.
What it does: Launches rockets.
Why it’s worth watching: PLD Space is part of Europe’s push for space autonomy. After successfully launching a suborbital rocket in 2023, it is currently developing a reusable orbital launcher for small satellites. Last month, the Spanish company secured a $209 million Series C round led by Mitsubishi Electric that brought its funding to more than $350 million.
PLD Space’s MIURA 1 space rocket during its presentation in Madrid in 2021.Image Credits:Eduardo Parra / Europa Press via Getty Images / Getty Images
Proxima Fusion
Recommended by Daria Saharova, general partner, World Fund.
What it does: Nuclear fusion.
Why it’s worth watching: The race for an alternative to nuclear fission is on, and Proxima Fusion is one of Europe’s strongest contenders. The VC-backed company recently secured $460 million from the state of Bavaria to support its plans to build a fusion power plant in Europe, starting with a demonstration stellarator near Munich.

Roofline
Recommended by Floriane de Maupeou, principal, Serena Data Ventures (investor).
What it does: Software for AI model deployment on advanced chips.
Why it’s worth watching: University spinout Roofline bridges the gap between AI and an increasingly fragmented hardware layer with software that lets users deploy models efficiently on different types of chips.

Space Forge
Recommended by Daria Saharova, general partner, World Fund (investor).
What it does: Space Forge manufactures semiconductor components in space.
Why it’s worth watching: In-space manufacturing is on the rise — for pharmaceutical applications and for chips, which are Space Forge’s focus. With extra tailwinds from geopolitics, the startup is already forging ahead: It recently generated plasma in low Earth orbit.

Theker
Recommended by Pablo Ventura, general partner, Kfund (investor).
What it does: Robots as a service.
Why it’s worth watching: Theker is one of several startups backed by Zara owner Inditex through a dedicated fund managed by Mundi Ventures. Theker’s AI-enabled robots could help the retail giant improve its logistics, but the startup is also pursuing use cases in waste management and food and beverage production.

The Information : CFTC Chair Races to Stop States From Killing Prediction Market

CFTC Chair Races to Stop States From Killing Prediction Markets
Michael Selig, a wonkish libertarian, hopes to secure a prominent new role for his agency by stopping other regulators from going after the startups.

When Michael Selig took up his new position as head of the Commodity Futures Trading Commission a few months ago, he quickly embarked on an effort that seems fitting for a Trump administration official who would like to make it possible for every American living room to become a wagering parlor.

Selig is a sports fan, and he filled the space with sports memorabilia, honoring his early childhood in the Philadelphia area. He interspersed his law books with Eagles gear—and on another shelf, he placed a particularly beloved memento. “A Charles Barkley from the 76ers,” said Selig, pointing to a glass-encased signed basketball, which sits just left of a red Make America Great Again hat.

As the agency’s new chair, Selig intends to turn the CFTC, a long-time Washington backwater, into one of the more important entities in town by crafting the rules governing prediction market startups. Those companies have seen a surge of people eager to wager on the outcome of real-world happenings. Betting on sports is very popular, as is wagering on everything from elections to the Oscars to global events, like the outcome of the war in Iran. Selig is hugely supportive of prediction markets and wants to draft regulations that help them flourish.

But in recent months, a slew of state officials have stepped in to stop or slow the industry in their states, dimming Selig’s bright ambitions for his agency. He’s now vowing to do whatever he can to outmaneuver them. “It would be very irresponsible for the chairman of the agency to just take his hands off and say, ‘Keep doing what you’re doing,’” said Selig, reclining in a wingback chair.

Over the last several years, prediction markets have seen their popularity soar. Investment bank Bernstein estimates those markets collectively will see $240 billion in transaction volume this year, up almost 400% from a year ago. It forecasts that figure could swell to $1 trillion by 2030.

As interest in these markets has surged, the startups fueling the boom have become enormously valuable. The two biggest are Kalshi and Polymarket: In March, Kalshi received a $22 billion valuation, and as recently as last month, Polymarket was in discussions for a $15 billion valuation. Their investors include all the biggest names in Silicon Valley, such as Sequoia Capital, Andreessen Horowitz and Founders Fund.

The president’s family is involved in prediction markets, too. Donald Trump Jr. is a paid adviser to Kalshi, and 1789 Capital, a venture firm that counts him as a partner, has invested in Polymarket. Meanwhile, President Donald Trump’s Truth Social has said it will have its own prediction markets feature.

So the keen attention of the tech elite now falls on Selig, a soft-spoken, wonkish 36-year-old—head of an agency created by Congress in 1974 to regulate financial futures, products related to the sale of bland but essential commodities like soybeans, cattle and eggs. The agency has gotten a little more modernized lately, and under President Trump, it has sought a role in boosting the crypto industry. In March, the CFTC and the Securities and Exchange Commission issued new guidelines around federal securities law and cryptocurrency, and the agencies are waiting on Congress to come up with a comprehensive framework for regulating crypto.

Prediction markets, meanwhile, have become a deeply polarizing topic, particularly as concerns about insider trading on those markets have spread. Just weeks ago, for example, an Army Special Forces officer involved in capturing Venezuela’s Nicolás Maduro was arrested and charged with using classified information to place a Polymarket bet related to the event. Yet the industry couldn’t hope for a more eager ally than Selig: An unapologetic libertarian, he sees it as his duty to limit governmental overreach into private industry.

“People in the prediction market space are very excited that someone is leading the CFTC that’s on their side and is fighting for these markets,” said Mick Bransfield, research director at the Coalition for Political Forecasting, an advocacy group that hopes to further mainstream prediction markets. “He’s a true believer.”

To deliver a win, Selig will need to wage an extensive legal campaign to beat back state regulators who want a shot at making rules that clip prediction markets’ wings. In Washington, he needs to shepherd the passage of his own industry rules that can hold up in court. (That might seem straightforward, but such rulemaking is always hard to achieve, especially on controversial issues, often inviting a ton of lawsuits and time-consuming Congressional hearings.) Selig is definitely on the clock: He likely needs to get it all wrapped up before the final buzzer sounds on the Trump administration a little over two and a half years from now if he wants to cement his own legacy and the agency’s place as a bigger power.

Selig is attracting the ire of critics of gambling on both the left and the right. Spencer Cox, Republican governor of Utah, has said of Selig, “These prediction markets you are breathlessly defending are gambling—pure and simple.”

Benjamin Schiffrin, director of security policy at Better Markets, a nonprofit group that advocates for more strongly regulated markets, thinks Selig’s bias is nakedly apparent. “He is a cheerleader for the prediction market platforms,” said Schiffrin, a former associate general counsel at the SEC.

Schiffrin said he worries that Selig’s great interest in prediction markets will come at a cost: that the CFTC will stop fulfilling its long-term mission of policing the country’s $500 trillion commodities and derivatives market. Said Schiffrin: “If it’s going to be distracted by boosting prediction markets, it’s not able to fulfill its core mission.”

Selig has been interested in both technology innovation and the laws that shape it from his early days.

Selig moved to Florida with his family at about age 6, and his father, a district attorney, passed along books by authors—Rand, Friedman, Hayek—that appealed to his young libertarian mind. He was intrigued, too, by the then-decentralized internet.

Later on, he discovered bitcoin and the blockchain. He loved the idea behind them. (“Freedom-enhancing technology,” he calls it.) But he worried that operating in the legal margins would limit the technologies’ growth.

“To go mainstream, you want rules and regulations and controls,” said Selig, “but you also want to create an environment where you allow people to do what they want, which is to trade stuff in a decentralized way.”

He thought he might do something about it. As a student at George Washington University’s law school, he landed a clerkship with then-CFTC Commissioner Chris Giancarlo, who, recalled Selig, was also “fascinated by crypto.”

After graduating in 2015, Selig went into private practice. As the business world started to pay more attention to crypto, Selig specialized in both crypto companies and traditional financial firms interested in getting into the space.

“He was always ambitious,” said a crypto industry executive, granted anonymity because of the sensitivities of speaking frankly about a federal regulator. “He really took a shine to where the industry is moving: Mike got there early.”

In 2022, Selig joined New York law firm Willkie Farr & Gallagher, looking to build out a team dedicated to digital assets led by his old boss, Giancarlo. Two years later, Selig, then just 34, made full partner—a fast-tracked ascent.

After Trump won reelection, the incoming administration soon recruited Selig to help draft the rules legitimizing crypto and named him chief counsel on the SEC’s newly minted Crypto Task Force.

Meanwhile, at the CFTC, things were in a bit of chaos last year as crypto-industry opposition sunk Trump’s first nomination for chair. Within the White House, Selig emerged as a smart, steady-minded alternative.

When I asked Dawn Stump, a former CFTC commissioner, why Selig would’ve seemed like a solid candidate, she brought up how would-be chairs are often evaluated on a question: “Can this person go toe-to-toe with the opposition?” Selig, known as a sharp and bold thinker, could.

On October 25, 2025, after Selig had spent just nine months at the SEC, Trump nominated him as CFTC chair.

Still, Selig was relatively untested.“Mike is an extremely talented lawyer,” said the crypto industry executive. “But managing a building of 650 people? It’s a lot.”

Stump, the former commissioner, said she warned Selig there wouldn’t be much of a honeymoon period. Stump had served from 2018 to 2022, and while she thought the agency had mishandled things by being more restrictive than Congress mandated, she was also cognizant that the industry had gotten even more complicated since she had left. Washington had only half-baked rules for the industry, and it was continuing to grow fast—including, starting in late 2024, into sports wagering.

“This is a real challenge,” Stump said she cautioned Selig, “and it is going to require a tremendous amount of time.”

Said Stump: “It’s not a position I envy.”

Selig was sworn into office on December 22, 2025, almost a year into the Trump administration. He had to hit the ground running.

Prediction market platforms were then already facing dozens of state lawsuits, accused of violating states’ right to regulate sports betting under a 2018 Supreme Court decision. Selig said he was worried about the precedent of not intervening.

“That risks us ceding jurisdiction to the states, and that can put our financial system at great risk,” Selig told me. “So I had to move quickly.”

In February, Selig announced the CFTC would be filing legal briefs arguing it was the sole regulator of prediction markets. Then, in April, he went on the offense, suing Arizona, Connecticut, Illinois, New York and Wisconsin.

“We’re litigating to protect our jurisdiction,” Selig told me.

Selig’s tactics are irking many local lawmakers, both Republicans and Democrats, who see him as overstepping. The federal laws Selig says give the CFTC jurisdiction over event contracts traded on prediction markets date back to the 1930s.

Michael Meredith, a Republican in Kentucky’s House of Representatives, said the idea that they somehow apply to a boom in online sports wagering is, said Meredith, “a stretch.”

Not at all, Selig told me: “The statute says in very plain text that the CFTC has exclusive jurisdiction over all derivatives.” He went on: “That’s black-letter basics.”

Courts across the country have differed on the simple legal question at the center of these cases—do states have jurisdiction over wagering on sports through prediction markets or does the federal government? That likely makes it an appealing case for appellate courts.

Said Selig, “We’re happy to, of course, argue it all the way to the Supreme Court if it goes that far.”

As Selig fights to defend what he sees as his complete jurisdiction over prediction markets across the country, he’s figuring out what to do with that authority back in Washington.

Before his arrival, Selig thinks, prediction markets were subject to the ad hoc legal interpretations of CFTC staffers, stymying the industry—and driving it offshore.

In 2024, a federal court agreed that the CFTC had been arbitrary in the decisions it had made concerning prediction markets, finding that it had inappropriately denied Kalshi permission to offer wagering on congressional elections.

In response, companies began applying to the CFTC for permission to operate and offer contracts on everything from politics to sports.

“The floodgates opened,” Selig told me, but the agency didn’t have the infrastructure to deal with the deluge—leaving it stuck in a cycle of ad hoc decision-making.

It’s a tough spot, as some people who study or work in prediction markets are urging caution while others are telling Selig to hurry up.

Rajiv Sethi, professor of economics at Barnard College and author of the forthcoming book “Engines of Prophecy: The Power and Perils of Prediction Markets,” references Polymarket’s efforts to become fully licensed in the U.S.: “If the CFTC is to approve the reentry of Polymarket into the American market, they should do so while insisting on some form of identity verification” for traders.

John Phillips is a co-founder of PredictIt, which last year finally received licenses to operate for which it had applied in 2021. “Under Selig,” said Phillips, “are these licenses going to be expedited? Because it shouldn’t take four years.”

“We need guidelines. They need to be explicit,” Selig told me. “The firms want to comply, but they don’t always know what the rules are.”

And so, in mid-March Selig’s CFTC took the first step toward issuing legally binding regulations—soliciting public feedback on the stickiest questions facing the CFTC, like defining what constitutes insider trading on real-world events.

Selig’s CFTC has shown by its actions that, unlike the agency under past administrations, it is conceptually open to markets on both elections and sports, said Harry Crane, a professor of statistics at Rutgers University and a member of the CFTC’s council of advisers on innovation, announced by Selig in February. “Now they’re allowing those markets, but the question is…where should the line be drawn?”

Taking public comments seriously is how you figure out what sort of trading to allow, said Selig. “We’re certainly going to move quickly to get rules in place,” he said, but “there may be things that the public’s concerned about that we’re not thinking about.”

The comments pouring in from critics of prediction markets have said the agency would gamify violence, ignore addiction issues and trample on hard-won Native American gaming rights by allowing those markets to proliferate.

Selig said he’ll digest it all before the commission finalizes rules. It’s a lot of power: While the CFTC at full strength has five commissioners, Selig is at the moment its sole commissioner and its sole vote.

Along the way, Selig can’t make it look like the substance of the rules is preordained. After all, there is a 1946 federal law governing regulation making that requires regulators to remain open-minded.

Schiffrin of Better Markets, the nonprofit group that advocates for more strongly regulated markets, thinks Selig long ago decided what he will do. To illustrate his point, Schiffrin pointed to the CFTC adviser council, which includes people like Rutgers’ Crane as well as Kalshi CEO Tarek Mansour and Polymarket CEO Shayne Coplan: “It sure seems like he’s already made up his mind.”

Selig argues that any risks of prediction markets are addressable. I asked Selig about a White House letter cautioning staffers not to trade on information gained through their jobs in the wake of reported insider trading on military actions. Federal employees are already prohibited from benefiting from nonpublic information, Selig pointed out.

***

There’s tremendous upside for Selig if he can pull it all off before his time runs out, either at the end of his term in 2029 or before a change in party control of the White House.

CFTC chairs traditionally go on to fairly quiet jobs: head of public policy at Bloomberg, for example, or president of fintech firm Circle, or law firm partner.

One standout is Obama-era CFTC Chair Gary Gensler, who made his name in Washington regulating derivatives after the 2008 financial crisis. In 2021, then-President Joe Biden rewarded Gensler with the job of SEC chair.

Selig has the chance to similarly put his stamp on U.S. financial markets. And a Republican party eager to be seen as the center of innovation may well reward him. Could he go on to some higher post in, say, a JD Vance administration? At the moment, the Kalshi market on the 2028 GOP nomination shows Vance leading the field.

TechCrunch : Uber wants to turn its millions of drivers into a sensor grid for s

Uber wants to turn its millions of drivers into a sensor grid for self-driving companies

Uber has a long-term ambition that goes well beyond shuttling passengers: the company eventually wants to outfit its human drivers’ cars with sensors to soak up real-world data for autonomous vehicle (AV) companies — and potentially other companies training AI models on physical-world scenarios.

Praveen Neppalli Naga, Uber’s chief technology officer, revealed the plan in an interview at TechCrunch’s StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January called AV Labs.

“That is the direction we want to go eventually,” Naga said of equipping human drivers’ vehicles. “But first we need to get the understanding of the sensor kits and how they all work. There are some regulations — we have to make sure every state has [clarity on] what sensors mean, and what sharing it means.”

For now, AV Labs relies on a small, dedicated fleet of sensor-equipped cars that Uber operates itself, separate from its driver network. But the ambition is clearly much larger. Uber has millions of drivers globally, and if even a fraction of those cars could be transformed into rolling data-collection platforms, the scale of what Uber could offer the AV industry would dwarf what any individual AV company could assemble on its own.

The insight driving the program, Naga said, is that the limiting factor for AV development is no longer the underlying technology. “The bottleneck is data,” he said. “[Companies like Waymo] need to go around and collect the data, collect different scenarios. You may be able to say: in San Francisco, ‘At this school intersection, I want some data at this time of day so I can train my models.’ The problem for all these companies is access to that data, because they don’t have the capital to deploy the cars and go collect all this information.”

Becoming the data layer for the entire AV ecosystem is a pretty smart play, particularly considering Uber years ago abandoned its own ambitions to build self-driving cars (a move that co-founder Travis Kalanick has publicly lamented as a big mistake). Indeed, many industry observers have wondered if, without its own self-driving cars, Uber might one day be rendered irrelevant as AVs increasingly spring up around the globe.

The company currently has partnerships with 25 AV companies — including Wayve, which operates in London — and is building what Naga described as an “AV cloud”: a library of labeled sensor data that partner companies can query and use to train their models. Partners, which Uber plans to more aggressively invest in directly, can also use the system to run their trained models in “shadow mode” against real Uber trips, simulating how an AV would have performed without actually putting one on the road.

“Our goal is not to make money out of this data,” Naga said. “We want to democratize it.”

Given the obvious commercial value of what Uber is building, that positioning may not last long. The company has already made equity investments in numerous AV players, and its ability to offer proprietary training data at scale could give it significant leverage over a sector that right now depends on Uber’s ride marketplace to reach customers.

The Information : Anthropic in Talks to Buy AI Chips From U.K. Startup

Anthropic in Talks to Buy AI Chips From U.K. Startup

The Takeaway
  • Anthropic in talks to buy AI inference chips from UK startup Fractile.
  • Anthropic seeks to diversify chip supply and reduce high operational costs.
  • Fractile’s potential deal helped as it spoke with investors about raising $100 million.

As Anthropic’s sales explode, straining the servers it uses, the company is considering adding another source of AI server chips in addition to existing suppliers Google, Amazon and Nvidia.

The maker of Claude has recently been in talks with London-based startup Fractile to buy its inference chips, which aim to run AI models efficiently, when the chips become available next year, according to two people who have spoken to Fractile leaders. Deals such as these would give Anthropic more leverage with suppliers just at the time when its spending on servers and chips is projected to reach tens of billions of dollars a year.

Anthropic has long differentiated itself from other AI developers by renting a variety of server chips to develop and run its technology so it isn’t dependent on Nvidia’s hardware the way OpenAI and xAI are. Anthropic also recently agreed to purchase a substantial number of chips made by Google, which Anthropic would use outside Google Cloud data centers, giving it more control over how the hardware works.

The three-year-old Fractile is one of numerous startups aiming to create server chips that run completed AI models more efficiently than Nvidia graphics processing units do. These inference chips rely on static random-access memory, which minimizes the need to shuttle data back and forth to separate high-bandwidth memory chips as GPUs do. Other users of SRAM include Cerebras and startup Groq, which last year licensed technology to Nvidia, which also hired its leaders.

AI firms and cloud providers have been desperately trying to create alternatives to Nvidia chips for inference as a way to reduce costs and improve margins. Last year, Anthropic’s gross profit margins from running its AI products were lower than it had projected due to higher-than-expected inference costs, an issue OpenAI also experienced. Since then, both companies have focused on ways to lower costs, including by inking new agreements with non-Nvidia AI chip suppliers.

Fractile’s potential agreement with Anthropic was a big selling point for investors looking at the smaller startup’s most recent funding round, which aimed to raise over $100 million at a $1 billion–plus valuation, according to another person with knowledge of the round. Founders Fund, 8VC and Accel have been in talks to invest in the round, the person said.

The size of the potential agreement with Anthropic couldn’t be learned. Talks are in the early stages and the customer agreement could fall through. Spokespeople from Anthropic and Fractile declined to comment. Spokespeople from Founders Fund, 8VC and Accel didn’t respond to a request for comment.

The deal is won’t help with Anthropic’s near-term compute needs, since Fractile’s chips won’t be available to go into data centers until next year at the earliest, Fractile leaders have previously said.

Instead, Anthropic has been inking large cloud deals with Amazon and Google as it raced to keep its systems running while its revenue pace tripled since the end of last year. In April, Anthropic unveiled new agreements to secure hundreds of billions of dollars’ worth of servers from those cloud providers, including using the custom chips they develop, though much of it won’t come online anytime soon.

Nvidia CEO Jensen Huang recently said he regretted not investing earlier in Anthropic, as it might have prevented it from becoming a major customer of Google and Amazon chips. Last fall, Anthropic committed to spending $30 billion to rent Nvidia servers from Microsoft’s Azure cloud in exchange for Nvidia investing $10 billion and Microsoft investing $5 billion in the startup.

Anthropic has also considered designing its own inference chips, according to Reuters, a strategy OpenAI and Meta Platforms are also pursuing to lessen their reliance on Nvidia.

Anthropic is moving quickly to line up access to AI chips after surging demand for its AI coding and work agents caused a compute crunch. Last month, developers protested its decision to limit some Claude Code customers’ ability to use the product during peak hours. Some customers have complained of outages.

Fractile was co-founded in late 2022 by Walter Goodwin, an Oxford University AI and robotics doctorate holder who previously worked on robotics at Amazon, and Yuhang Song, who left Fractile in 2024 to found another startup. The company previously raised $15 million in funding from investors including Kindred Capital, the Nato Innovation Fund and Oxford Science Enterprises.

WSJ : Germany and Europe Have Even Bigger Trump Problems Than U.S. Troop Withdra

Germany and Europe Have Even Bigger Trump Problems Than U.S. Troop Withdrawal
The trans-Atlantic relationship is eroding faster than the continent is rearming

President Trump’s administration is withdrawing 5,000 U.S. troops from Germany and not deploying long-range missiles, creating a deterrence gap.
The U.S. decision not to deploy Tomahawk cruise missiles and Dark Eagle hypersonic missiles in Germany is a bigger concern for officials.
President Trump’s increased tariffs on European cars from 15% to 25% will add to Germany’s economic burden, impacting its flagship industry.

BERLIN—German officials shrugged off President Trump’s decision to withdraw 5,000 U.S. troops from the country as symbolic, but analysts warned the broader trans-Atlantic rift risks leaving Europe’s economy and security dangerously exposed.

Trump’s latest increase in tariffs on European cars, his apparent U-turn on plans to station long-range missiles in Germany and the economic and military fallout from the war in Iran will have a bigger impact on the region, they warned.

“All of these are a bigger deal than a symbolic 5K-troop reduction,” said Thorsten Benner, director of the Global Public Policy Institute, a Berlin security think tank. “So is the rapid depletion of U.S. arsenals due to wasting enormous amounts of precious assets in the Iran war.”

Senior U.S. defense officials said Friday the Pentagon would withdraw an army brigade from Germany within six to 12 months, days after German Chancellor Friedrich Merz said the U.S. didn’t seem to have an exit strategy in Iran and described Tehran as humiliating America in negotiations.

Germany is the nerve center of the 85,000-strong U.S. troop presence in Europe, where a dense network of bases helps Washington project power around the world. The vast Ramstein Air Base in southern Germany has been a key logistics hub for U.S. military operations in Afghanistan, Iraq and, this year, Iran.

The announced withdrawal would represent about 14% of the roughly 36,000 troops currently in the country—not much more than the normal fluctuation and much smaller than the 12,000 reduction Trump tried to implement in his first term. Most of these troops serve U.S. military operations around the world and aren’t there to protect Germany in case of an attack.

It was “foreseeable that the U.S. would withdraw troops from Europe, including Germany,” German Defense Minister Boris Pistorius said Saturday, adding that Europe was already investing to fill the gap. “Germany is on the right track,” he said.

Germany and allies in the North Atlantic Treaty Organization “are working with the U.S. to understand the details of their decision on force posture in Germany,” said the NATO media service on X. The military alliance said the move “underscores the need for Europe to continue to invest more in defense and take on a greater share of the responsibility for our shared security” but NATO can still “provide for our deterrence and defense.”

A bigger concern is the news that the U.S. has decided not to deploy a battalion to operate Tomahawk cruise missiles and Dark Eagle hypersonic missiles in Germany, a deal struck in 2024 by the Biden administration in an effort to deter Russia from an attack on NATO after its invasion of Ukraine two years earlier.

Officials in Berlin had anticipated that the Trump administration wouldn’t honor the deal, having never committed to do so, said Nico Lange, director of Germany’s Institute for Risk Analysis and International Security and a former senior German defense ministry official.

“Still, the fact that now, when we’re facing such a serious threat level in Europe, this conventional deterrence gap isn’t being closed—that is a real problem,” said Lange. “We have troops of our own, but no one in Europe possesses this specific capability yet.”

Another reason to worry: Withholding the battalion is the latest signal of a detente between the Trump administration and Russian President Vladimir Putin. It follows the suspension of oil sanctions against Russia after Iran closed the Strait of Hormuz. European leaders think the moves are undermining efforts to reach a cease-fire between Ukraine and Russia.

Under Merz’s government, Germany has been ramping up military spending and speeding up procurement with the goal of becoming Europe’s largest conventional military force by 2029. It has also entered an agreement with France to supplement the U.S. nuclear umbrella.

Military analysts said Berlin was well on the way to becoming less dependent on America’s military protection but that the Merz-Trump spat was a useful reminder of the urgency of this effort.

Yet the rapid depletion of the U.S. arsenal during its offensive on Iran has created a dilemma for Europe, whose rearmament remains slow and dependent on purchases from America, particularly in crucial areas such as antiaircraft systems and long-range missiles.

“All of this translates into a heightened security risk for Europe,” said Lange.

Economic headwinds from an array of Trump policies that have undermined Germany’s ability to support its huge defense investments are a bigger worry.

German exports to the U.S.—a crucial lifeline to offset a long-term loss of market share in China—have collapsed since Trump started a trade war with Europe last year. An EU-U.S. trade deal agreed last summer has offered little relief to many German manufacturers because separate U.S. steel and aluminum tariffs have hit their products.

Government officials and economists had hoped that Berlin’s defense splurge and a separate public-infrastructure investment offensive would bolster growth this year but a sharp uptick in energy prices following the attack on Iran shattered those expectations.

The government has since slashed its stuttering growth forecast for this year and business confidence hit a six-year low this month. Trump’s announcement that he was raising tariffs on European cars from 15% to 25% this week will add to the burden for Germany’s long-suffering flagship industry.

Germany’s continuing economic malaise is also sapping Merz’s political margin of maneuver at home. After a gradual collapse in ratings since he came to office last year, the chancellor has become one of the least popular in postwar history.