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Leadership coach Bill Hoogterp on how to stop being too nice at work

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Tesla’s monthly sales slump 40% across Europe, new data shows, but the worst may finally be over

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  • Tesla’s share of Europe’s EV market more than halved to just 10% in February, but last month likely marked the worst for the brand as the newer Model Y starts to roll out to customers who were waiting for its March arrival.

The full and unvarnished picture of Tesla’s plunging sales and dwindling market share in Europe has now emerged, thanks to new data, and it’s not pretty. The good news for investors, however, is the pain may finally be finding a bottom. 

Sales globally have, in part, been hit by the transition to a newer version of the Model Y, the best-selling car in the world, with roughly 1.1 million built.

Changeovers in Tesla’s most important vehicle were bound to affect demand as many customers—having learned about the new vehicle in January—likely postponed their purchase until its arrival this month.

Registrations of new Tesla vehicles across Europe slumped 40% last month to approximately 16,900 cars, compared to the previous February, according to data published on Tuesday by the European auto industry association ACEA.

The overall market for fully electric vehicles simultaneously expanded by 26% to nearly 165,000 cars during the period. That means Tesla’s share more than halved to 10.3% last month from 21.6% in February 2024.

According to the ACEA, registrations for Tesla fell 43% to 26,619 vehicles for the first two months of 2025 combined.

The lobbying group aggregates all data from the 27 member states of the European Union, including the tiny island nation of Malta, the three EU partner states Norway, Iceland, and Switzerland, and the UK.

While it is published realtively late towards the end of every following month, its statistics serve as the most authoritative indicator of demand on the continent.

Musk’s interference in Germany’s elections appears to have severely hurt local demand

Part of this undoubtedly stems from the changeover to the new Model Y, which also resulted in a scheduled production shutdown at Tesla’s only European factory for the necessary retooling. 

“Brands like Tesla, which have a relatively limited model lineup, are particually vulnerable to registration declines when undertaking a model changeover,” wrote Felipe Muñoz, industry analyst with market research firm JATO, on Monday.

However, there are also signs of brand destruction that can be traced back to Elon Musk. The Tesla boss has prioritized pushing a wholesale reform of Western liberal democracy focused on a CEO-style central executive that can act unimpeded by legislative or judicial checks and balances.

This activism comes at the cost of his own commercial interests and those of his investors, though.

Montreal-based portfolio manager Simon Hale from Wellington Altus earlier this month revealed many of his Jewish clients were pressing him to sell their money that was invested in Tesla over their concerns that Musk is empowering far-right populists across the West. 

Last month, the Tesla CEO actively, repeatedly and vociferously intervened in Germany’s election on behalf of the nationalist Alternative for Germany, which favors reconciliation with Russia’s president Vladimir Putin and pushes for Berlin to withdraw from the EU.

As a result, demand in Germany has fallen off the sharpest.

Cumulative sales in the first two months plummeted by more than 70% to just 2,700 vehicles. Since that is only half of the 5,300 cars that Tesla sold in the smaller EV market of the UK, it’s likely much of that drop is due to Musk’s support of the AfD rather than the Model Y.

Is the worst now over?

Next month, two effects could help lessen the blow going forward in Europe. For one, the brand will have finally lapped the worst of its year-on-year comps, as March 2024 marked the beginning of a protracted drop in sales across Europe with a hefty 35% decline. That lowers the previously high bar Tesla had to face in recent months, which exacerbated the percent declines. 

Secondly, the production stop is over, and the first refreshed Model Y units have been shipped to customers. The changeover to the newer version now flips the story for Tesla, as it starts to act in Tesla’s favor now that supply can ramp up to meet any demand.

What this means can already be seen in data coming out of China on Tuesday. Tesla celebrated its best week of 2025 in the world’s largest EV market with 17,400 new cars registered.

Analysts at Piper Sandler interpreted this as a sign that demand can now begin to gradually recover following the February production halt in Shanghai to prepare for the newer Model Y.

“With eight days of data remaining in the quarter, there’s an outside chance Tesla could achieve flat year-on-year growth (or thereabouts) in 1Q25,” wrote Piper Sander, referring to the Chinese market.

This story was originally featured on Fortune.com



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U.S. infrastructure improved with big Biden spending—but only from a C- to a C

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A once-every-four-years report card on the upkeep of America’s infrastructure gave it a “C” grade on Tuesday, up slightly from previous reports, largely due to investments made during former President Joe Biden’s administration.

The report from the American Society of Civil Engineers, which examined everything from roads and dams to drinking water and railroads, warns that federal funding must be sustained or increased to avoid further deterioration and escalating costs.

“We have seen the investments start to pay off, but we still have a lot of work to do out there,” said Darren Olson, chair of this year’s report. He said decrepit infrastructure – from poor roads that damage cars to delayed flights to power outages that spoil groceries — hurts people and the economy.

“By investing in our infrastructure, we’re making our economy more efficient, we’re making it stronger (and) we’re making ourselves globally more competitive,” he said.

It’s especially critical that infrastructure can handle more extreme weather due to climate change, said Olson, noting hurricanes that devastated the East Coast and parts of Appalachia last year. The U.S. saw 27 weather disasters last year that cost at least $1 billion, second-most since 1980.

The 2021 Infrastructure Investment and Jobs Act provided $550 billion in new infrastructure investments, but is set to expire in 2026. Another $30 billion came from the 2022 Inflation Reduction Act, including for projects focused on clean energy and climate change, the engineering group said.

President Donald Trump’s administration has targeted some of Biden’s green policies. Public parks improved to a C-minus from a D-plus, for example, thanks in part to significant investments over several years. Recently, however, the Trump administration moved to slash National Park Service staffing.

In 2021, the U.S. earned a C-minus overall. The investments made since then are just a fraction of the $9.1 trillion that the civil engineers group estimates is needed to bring all of the nation’s current infrastructure into a state of good repair.

Even if current federal infrastructure funding were maintained, there still would be a $3.7 trillion gap over a decade, according to the report.

The bill to upgrade and maintain the nation’s roughly 50,000 water utilities, for example, is $625 billion over the next two decades, according to the federal government. The grade for drinking water was C-minus, unchanged from four years ago.

Many communities already struggling to maintain old, outdated drinking water systems also face new requirements to replace lead service lines and reduce per- and polyfluoroalkyl substances, collectively known as PFAS.

The infrastructure bill helped complete or start “a lot of really important projects,” said Scott Berry, director of policy and governmental affairs at the US Water Alliance. “But the gap has widened so much over the last couple of decades that a lot, lot more investment is going to be needed.”

The bill also provided billions to help the U.S. Army Corps of Engineers upgrade inland waterways, which move roughly $150 billion in commerce every year, improving the grade from a D-plus to a C-minus.

Barges on the Mississippi River, for example, carry enormous amounts of coal, soybeans, corn and other raw materials to international markets. But critical infrastructure like locks and dams — many built more than a half-century ago and requiring regular maintenance and repair — is often invisible to the public, making it easy to neglect, said Mike Steenhoek, executive director of the Soy Transportation Coalition.

And when big projects are funded, it too often comes in stages, he said. That forces projects to pause until more money is appropriated, driving up costs for materials and labor.

“If we really want to make the taxpayer dollars stretch further, you have got to be able to bring a greater degree of predictability and reliability in how you fund these projects,” he said.

The report’s focus on engineering and money misses the importance of adopting policies that could improve how people use and pay for infrastructure, according to Clifford Winston, a microeconomist in the Brookings Institution’s economic studies program.

“You fail to make the most efficient use of what you have,” said Winston. For example, he noted that congestion pricing like that recently adopted by New York City — charging people to drive in crowded areas — places the burden on frequent users and can pressure people to drive less, reducing the need for new bridges, tunnels and repairs.

Roads remain in chronically poor shape, receiving a D-plus compared to a D in the last report, despite $591 billion in investments since 2021.

Two categories, rail and energy, received lower grades. Disasters like the derailment of a train carrying dangerous chemicals in East Palestine, Ohio, in 2023 lowered rail’s previous B mark to a B-minus.

The energy sector, stressed by surging demand from data centers and electric vehicles, got a D-plus, down from C-minus.

Engineers say problems in many sectors have festered for so long that the nation must figure out how to address the shortcomings now or pay for them when systems fail.

On Wednesday, a delegation of engineers will visit Washington to talk to lawmakers about the funding impacts and “the importance of continuing that investment,” said Olson, who said the needs are a bipartisan issue.

“When we talk about it in ways of how better infrastructure saves the American family money, how better infrastructure supports economic growth, we’re really confident that … there is strong support,” he said.

This story was originally featured on Fortune.com



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Exclusive: Instacart bought his self-checkout startup for $350M. Now he’s teaming with a Google DeepMind alum to build low-cost robots

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When Instacart acquired Lindon Gao’s self-checkout shopping startup, Caper AI, for $350 million in 2021, it marked a big win for the founder in a competitive space led by Amazon through its checkout-free Go stores. Caper used sensors, computer vision, and other AI techniques to detect items in customers’ shopping carts so they could avoid cashier lines. 

Six months ago, Gao left his role at Instacart and Caper to tackle a new challenge—this time in robotics. His new company, Dyna Robotics, emerged from stealth on Tuesday with a $23.5 million seed round, co-led by CRV and First Round Capital, to build more affordable, easy-to-deploy AI-powered robots for brick-and-mortar businesses. The robots are intended to handle tasks ranging from dangerous to dull and dirty, including chopping food, loading dishes, folding laundry and cleaning toilets.

Gao founded Dyna Robotics, which he said is being valued at around $100 million in the latest funding round, with one of his Caper co-founders, engineer York Yang, as well as Jason Ma, a Google DeepMind alum. Ma was the lead author on Eureka, a widely-read paper on training robots with human-like dexterity.

Robots that are single task experts

With Casper, Gao said he helped grocery chains like ShopRite, Kroger and Aldi, as well as independent grocers, grow their businesses. Now, with his robotics startup, he hopes to do the same with a new set of customers: restaurants, groceries and dry cleaner shops.

Most companies in the “physical AI” space—that is, AI for real-world autonomous systems like robots and self-driving cars—are either working on general purpose AI models (such as Physical Intelligence and Skild) or humanoid robot hardware (like Figure AI and Agility Robotics). Dyna Robotics, however, is going a different route, building simple hardware in the form of a pair of stationary robotic arms, powered by an AI model trained to do one specific task or set of tasks. Gao said as far as he is aware, Dyna is the only non-humanoid robot company trying to put robot AI models fine-tuned on specific datasets into production. 

This narrow focus keeps costs down. Robots from some of the world’s most highly-valued robotic startups cost hundreds of thousands of dollars, if they’re even available at all. Dyna’s are expected to cost tens of thousands of dollars when they’re on sale. There are no firm dates yet for when the robots will debut, but Gao said it will likely be in the next few months. His robots are currently in trial production “but not fully live yet,” he said.

The goal is to automate many tasks that many people don’t want to do. “That’s a very, very high value for businesses of all kinds,” he added, especially since robots for many of these kinds of tasks don’t exist. For example, traditional machine learning struggles with the unpredictable nature of jobs like folding cloth, he explained. But today’s AI models can be trained to handle it—especially as Dyna Robotics focuses on collecting extensive data for specific tasks, rather than amassing vast and costly real-world data across a wide range of actions.

General-purpose robots will take a while

That is where Ma’s Eureka research comes in. While the tasks he explored in the paper—teaching a robot hand to spin a pen or a robot dog to juggle on a yoga ball—are not super-practical, Gao said the two bonded on the same idea: Creating an expert-level AI model for robots that can go into production very quickly. “I think he shares a very similar sentiment as me with regards to robotics, which is that getting to general-purpose robots is not going to happen as quickly as we hoped,” he said. However, Gao, Yang, and Ma are still working towards an ultimate goal of developing general-purpose AI-powered robots. Dyna’s robots master one task at a time, which lets its AI models learn and improve in production environments. 

The robotics industry, of course, is only getting more crowded: As of March 2024, there were reportedly over 1,500 robotics startups globally. And for many, convincing small to medium-sized business customers that robots are a better investment than humans may remain a tough sell.

However, Gao reiterated that few companies are currently able to scale their work quickly into production, as Dyna Robotics plans to do. In addition, there is a labor shortage in the types of jobs Dyna Robotics is tackling, such as food preparation, so he said convincing customers of the need is not difficult.

The biggest challenge, he said, is to get the robot AI models to work reliably and efficiently in a real-world production environment. “Right now the speed of foundation models is around 10-30% of human-level efficiency, and we are doing a ton of research to get us closer to human-level speeds,” he said.

Gao said the company, based in Redwood City, Calif., in the heart of Silicon Valley, already has 30 employees. As a second-time founder, he said he knows how to build products faster than before. “We have a very core philosophy that good engineering is still going to ultimately win,” he said. 

Still, starting Dyna Robotics is much harder than his Caper experience, Gao admitted. “The first time you have no baggage,” he said. “But now I have some sort of expectations and track record. I also want to prove to myself that I’m not a one hit wonder.” 

This story was originally featured on Fortune.com



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