Category: Technology

Caitlin Kalinowski spent 16 months building OpenAI’s physical AI program. On Saturday, she said the company moved too quickly on something too important.

The week that began with Anthropic being blacklisted by the Pentagon and ended with OpenAI accepting its contract has now claimed OpenAI’s highest-ranking hardware executive.

Caitlin Kalinowski, who joined OpenAI in November 2024 to lead its robotics and consumer hardware division, announced her resignation on Saturday on X. Their statement was short, direct and more open than anything OpenAI itself has said about the deal.

“AI plays an important role in national security,” she wrote. “But surveillance of Americans without judicial oversight and lethal autonomy without human authorization are issues that deserved more consideration than they got.”

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In a later post, she went into more detail about the nature of the complaint. “It is primarily a governance concern,” she wrote. “These are too important for deals or announcements to be rushed.”

Kalinowski made sure to word her farewell personally. “This was about principles, not people,” she wrote. “I have a lot of respect for Sam and the team.”

This last remark carries some weight: Sam Altman himself has admitted that the Pentagon deal was “definitely rushed” and that its rollout provoked significant backlash.

What Kalinowski’s resignation adds to this admission is a name and a title: The highest-ranking person at OpenAI, whose job it was to bring AI into physical systems, has decided that the process by which it is now tasked with breaking into weapons systems and surveillance infrastructure was not good enough.

What the deal was about

The sequence of events leading up to this point spanned about a week. Anthropic, which was the only AI company granted permission to operate on the Pentagon’s secret networks following a $200 million contract awarded in July 2025, spent several weeks in tense negotiations with the Defense Department over the terms of its continued use.

Anthropic took the position that its models should not be used for domestic mass surveillance or fully autonomous weapons. The Pentagon, under Defense Secretary Pete Hegseth, insisted on language allowing use “for any lawful purpose” without specific exceptions.

On February 28, as negotiations collapsed, President Trump ordered all federal agencies to stop using Anthropic’s technology, calling the company “radically woke” on Truth Social.

Hegseth has officially classified Anthropic as a national security supply chain risk, a classification previously reserved for foreign adversaries and requiring Defense Department vendors and contractors to certify that they are not using Anthropic’s models.

Hours later, Altman posted on X that OpenAI had reached its own agreement to deploy its models on the Pentagon’s secret network.

OpenAI’s stated position is that its deal includes the same core protections that Anthropic sought: no domestic mass surveillance, no autonomous weapons.

The company published a blog post outlining its approach, arguing that its agreement is more robust than any previous classified AI deployment, including Anthropic’s, simply because of its cloud-only deployment architecture, retained security stack, and contract provisions that are guided by existing U.S. law rather than tailored bans.

What Kalinowski’s departure means for OpenAI

Kalinowski’s career before OpenAI was unusual in its breadth. She spent nearly six years at Apple as engineering lead for the Mac Pro and MacBook Air programs, including the original unibody MacBook Pro, before moving to Meta’s Oculus division, where she led virtual reality hardware for more than nine years.

Her final role at Meta was leading Project Nazare, later called Orion, the augmented reality glasses initiative that Meta unveiled as a prototype in September 2024 and described as the most advanced AR glasses ever.

She joined OpenAI the following month.

During her 16 months at OpenAI, Kalinowski built what the company calls its physical AI program, including a lab in San Francisco that employs about 100 data collectors who train a robotic arm for household tasks.

Her departure leaves this company without its most experienced hardware leader, at a time when OpenAI has big ambitions to expand beyond software.

OpenAI confirmed its resignation on Saturday, saying in a statement: “We believe our agreement with the Pentagon creates a viable path for the responsible use of AI in the national security domain, while clarifying our red lines: no domestic surveillance and no autonomous weapons.”

We recognize that people have strong views on these issues and we will continue to engage in the discussion with employees, government, civil society and communities around the world.”

The big picture

The fallout from OpenAI’s Pentagon deal wasn’t just limited to internal disagreements. ChatGPT uninstalls reportedly increased by 295% following the announcement, and Anthropic’s Claude climbed to number one in the US App Store, displacing ChatGPT. As of Saturday afternoon, the two apps remained first and second respectively.

The resignation of the company’s robotics chief on Thursday confirms that the cost of the deal for OpenAI is still being counted. Altman wanted to defuse a confrontation between the government and the AI ​​industry. Maybe he still made it. Whether the price of this de-escalation in terms of talent, trust and the specific question of who was right about the guardrails was worth it is a question that will take longer to answer.

Today’s processors pack billions of transistors onto a single chip, which, while enabling incredible performance, also brings with it a persistent problem: heat. Rising temperatures can slow down a processor or force performance throttling. Now researchers may have found a solution with something incredibly tiny: a new microscopic temperature sensor that’s almost impossible to see with the naked eye.

A thermometer smaller than a human hair

Researchers at Penn State University have developed an ultraminiature thermometer that can be built directly onto computer chips. The sensor is super small, measuring just one square micrometer, which is several thousand times smaller than the width of a human hair. This small size allows engineers to place thousands of these sensors on a processor, enabling precise temperature monitoring in different parts of the chipset.

Chips often heat up unevenly under heavy workloads, and traditional temperature sensors mounted outside the processor have difficulty accurately detecting these rapid changes. So these microscopic sensors could be a big deal for modern processors.

Made from ultra-thin 2D materials

What’s impressive is that the researchers built the sensor from two-dimensional materials that are only a few atoms thick. These materials allow the sensor to react quickly to temperature changes. Additionally, the device can detect subtle fluctuations in about 100 nanoseconds, which is a million times faster than blinking. Due to its unique structure, the technology also consumes less power than traditional silicon-based thermal monitoring systems.

AMD

Why this is important for modern processors

Thermal management is one of the biggest challenges in chip design today. Overheating of transistors under high load causes processors to reduce clock frequency to protect themselves. This in turn leads to a reduction in performance. But with embedded sensors like this, engineers could monitor temperature changes across the chip in real time and respond more effectively. This means we may see smarter thermal management, better efficiency and peak performance maintained for longer. As chips approach the 1-nanometer gate, such technology could be crucial.

The battery industry has a translation problem. Researchers can identify promising new materials in the laboratory; The challenge is to advance these discoveries through chemistry, engineering and manufacturing without wasting years and hundreds of millions of dollars. The gap between discovery and production has long been one of the key bottlenecks in the clean energy transition.

Holyvolt, a Swedish battery technology company founded in 2022, believes there is a way to solve the problem. On Thursday, the Volvo-backed startup announced the acquisition of Wildcat Discovery Technologies, a San Diego-based battery materials specialist, in a $73 million deal made up of a mix of cash, equity and deferred milestone payments.

The transaction brings together two technologies that have been developed in parallel for years: Holyvolt’s screen printing and water-based manufacturing process and Wildcat’s High Throughput Platform (HTP), which can synthesize and screen thousands of material combinations simultaneously.

Mathias Ingvarsson, CEO of Holyvolt, told Impact Loop that the company was already a customer of Wildcat before the acquisition. “Wildcat is now a world leader and undoubtedly the best in battery chemistry,” he said. “They have been focused on battery chemistry for 18 years and are the world leader in anodes, cathodes, electrolytes and virtually everything related to a battery.”

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Wildcat’s HTP is, at its core, a materials discovery engine. It conducts parallel combinatorial experiments, a method originally developed for pharmaceutical drug discovery, and can identify optimal battery chemistries up to ten times faster than traditional research methods. Crucially, the platform generates terabyte-scale structured material data sets as it works: the kind of high-quality, labeled data that machine learning models need to be truly useful and not just decorative.

Holyvolt’s contribution is on the manufacturing side. Its process replaces the organic solvents used in traditional coating of battery electrodes with water-based processing and utilizes screen printing techniques developed over more than 20 years of research. The approach is designed for flexibility, modularity and scalability. These characteristics are extremely important when trying to go from pilot production to commercial production without having to rebuild the factory.

Together, the companies describe a pipeline that extends from molecular discovery to pilot-scale production. The combined company will operate from offices in Stockholm, Munich and San Diego and serve customers across the battery supply chain through both technology development partnerships and licensing agreements.

The acquisition follows Holyvolt’s €20 million financing round, which was specifically designed to finance this deal. According to Ingvarsson, the company raised around €12 million in February at a valuation of €182 million, building on an earlier round of around €5.5 million. Investors include Volvo, climate technology VC Course Corrected and FAM, the investment arm of the Swedish Wallenberg family.

The intellectual legacy of the Wildcat platform dates back to Prof. Peter Schultz, the company’s founder and professor of chemistry at Scripps Research in San Diego. Schultz is one of the world’s leading pioneers of combinatorial chemistry, the technique of conducting large numbers of parallel experiments to identify promising compounds that transformed drug discovery in the 1990s and 2000s. He founded Symyx Technologies to apply the same approach to materials science, and later Wildcat to do the same for batteries.

“With Holyvolt we can do for batteries what high-throughput and AI have done for drug discovery,” said Schultz.

Schultz’s credentials are impressive: He is a recipient of the Wolf Prize in Chemistry, a member of the National Academy of Sciences, and has received numerous other prestigious scientific awards.

There is no doubt about the importance of the combinatorial chemistry methodology developed by Schultz. Whether the application to battery materials is technically feasible at the scale and speed Holyvolt envisions and whether the combined company can translate a compelling technology stack into commercial contracts is the question that will be resolved over the next few years.

A new device aims to give people control over who can hear them in a world full of devices that are constantly listening and recording your conversations. A startup called Deveillance has introduced Specter I, a wearable device designed to prevent microphones in nearby devices from recording your voice.

Today we introduce Specter I, the first smart device that stops unwanted audio recordings.

We live in a world of always-on listening devices.

Smart devices and AI dominate our world in business and personal conversations.

With Deveillance you will @be_inaudible. pic.twitter.com/WdxmnyFq1I

— Aida Baradari (@aidaxbaradari) March 3, 2026

The company says the device can make conversations unintelligible to phones, smart speakers, laptops and other devices that constantly listen to audio. The idea addresses the growing concern about always-on devices.

According to the company, around 14.4 billion devices worldwide continuously listen for voice input. These records often become valuable data sources used for data mining, training artificial intelligence systems, and influencing our purchasing behavior or our deepest opinions.

Even a short speech sample can reveal sensitive personal details. About 30 seconds of voice data can help determine characteristics such as age, weight, income level and even health information.

A device that creates a privacy bubble around your voice

Deveillance

Specter I works by creating a two-meter protective zone around the user. When activated, it scans for nearby microphones and emits signals that humans cannot hear but microphones can detect.

These signals overlay your speech, causing recording devices to receive distorted audio signals that cannot be understood.

Unlike traditional signal jammers that rely on strong radio interference, the device uses artificial intelligence, signal processing and physics research to directly attack microphones.

The system works locally on the device and does not send any data to the cloud. Specter I’s portable design makes it easy to carry anywhere.

Deveillance

According to Deveillance, this makes it useful in business meetings, personal conversations, or in situations where the discussion needs to remain private.

The company has opened pre-orders for Specter I with a refundable deposit of $1,199. The device is currently in development, with first deliveries expected in the second half of 2026.

Privacy groups like the Electronic Frontier Foundation have long warned about the risks of constant surveillance. Deveillance says Specter I is just the beginning of its efforts to give users more control over how their data is collected and shared.

Wi-Fi on airplanes could finally keep up with the 21st century. The European Space Agency and Airbus have just proven that it is possible to use lasers to transmit gigabit internet from space to a moving aircraft.

The test achieved 2.6 gigabits per second between an aircraft and the Alphasat satellite 36,000 kilometers above Earth. This speed continued for several minutes. At this speed, an HD movie can be downloaded in seconds. The connection remained stable the entire time, even as the plane moved and crashed through clouds.

It’s brutally difficult to aim a laser at a fast-moving target from that distance. The system had to take into account the vibrations of the aircraft, its constant movement and atmospheric interference that would disrupt a normal radio connection. It still worked.

A laser detected at 36,000 kilometers

The UltraAir terminal on the aircraft had to remain aligned with the satellite throughout the movement. Turbulence, curves, height differences. Any interruption in the beam breaks the connection. Airbus built the terminal and it held up.

The UltraAir laser terminal from Airbus on the plane Airbus Defense and Space

Laser communication surpasses radio in two ways. The beams are narrow and therefore pack more data. A laser connection can transmit far more information than a radio signal. They are also much harder to intercept, which is ideal for military and commercial users.

The radio spectrum is overcrowded, so optical connections circumvent this problem entirely. The main difference is how the signal gets to your receiver on the final leg. Starlink and most other satellite internet services use radio waves to transmit data from space to your dish, but laser communications use focused beams of light instead. Laser connections can transmit far more data, are subject to less interference and use significantly less power than traditional radio-based systems.

Why Europe relies on laser connections

This wasn’t a random experiment. It is part of HydRON, ESA’s plan for a space-based optical network. Think fiber optic cable, but in orbit.

The ScyLight program supported the work with funds from the Netherlands and Germany. Europe wants its own secure data infrastructure. Relying on crowded radio bands for everyone to sing is not a long-term strategy.

Laser terminal seen from outside Airbus Defense and Space

ESA’s Laurent Jaffart said the test solved the difficult problems associated with fast laser communications, particularly avoiding interference in difficult conditions. Airbus sees both defense and commercial potential. Francois Lombard described the precision required as “extreme” and said it ushered in a new era for laser satellites.

When you will actually use this

Not on your next flight. Probably not the one after that. But the path is now visible.

ESA’s Harald Hauschildt said connecting aircraft to networks like HydRON was a priority. This includes high-altitude platforms and regular aircraft.

The same technology works for ships at sea and vehicles in remote areas. Places that cell towers cannot reach. Deserts, oceans, disaster areas. Laser links could keep them online.

The industry can strengthen Europe’s autonomy by leading in secure laser communications. The hard part is done. Now someone has to build the network.

Since Chatgpt's debut in 2022, generative AI quickly entered our work, study and personal life and contributed to accelerating research, creating content and rather unprecedented.

The enthusiasm for generative AI tools understandably has an even faster acceptance rate than the Internet or PCs, but experts warn that we should be careful. As with any new technology, generative AI can drive society in different ways, but can also bring consequences if it is not checked.

One of these voices is Natasha Govender-Ropert, head of the AI for financial crimes at Rabobank. She came to TNW founder Boris Veldhuijzen van Zanten in the latest episode of “Kia's Next Big Drive”, about an ethics, the bias and the question of whether we outsource our brain on machines.

Take a look at the complete interview on the way to TNW2025 in KIAS Pure Elektrischem EV9:

A question that should be in our minds is if we turn more and more for answers, what effects this trust on our own intelligence could have?

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A current study of with the use of chatt to write essays has developed into a number of sensational headlines, “researchers say that the use of chatt can rotten her brain” to “Chatgpt may make lazy and stupid”. Is that really the case?

Your brain on gen ai

Here is what actually happened: Researchers gave a task in the Boston region. A group used chatt, another Google used (without the help of AI), and the third had to write nothing but her brain. As she wrote, her brain activity was measured with electrodes.

After three sessions, the group only showed brain the highest psychological connectivity. Chatgpt user? The lowest. It seemed as if the AI supported people were driving on autopilot while the others had to think harder to get words on the side.

The roles returned for the fourth round. The group only had to use Chatgpt this time, while the AI group had to go alone. The result? The former improved their essays. The latter struggled to remember what they had written at all.

Overall, the study showed that the other groups in the four months in which it was carried out in relation to neuronal, linguistic and behavior levels, while those who use chatt spent less time for their attachments and simply wore copy/insert.

English teachers who checked their work said that original thoughts and “soul” were missing. Sounds alarming, right? Maybe, but the truth is more complicated than the sensationalist headlines suggest.

The results were less about decaying the brain and more about mental abbreviations. They showed that monitoring of LLMS can reduce intellectual engagement. But with active, thoughtful use, these risks can be avoided. The researchers also emphasized that the study raises some interesting questions for further research, but also much too small and simple to draw final conclusions.

The death of critical thinking?

While the results (which do not have to be checked) require that we should use this tool in educational, professional and personal contexts, the TLDR headlines that have been designed for clicks about accuracy is.

The researchers seem to share these concerns. They created a website with a FAQ page on which they asked reporters not to use a language that inaccurate and sensational the results.

Source: FAQ for “Your brain on chatt: accumulation of cognitive debts when using an ai assistant for tasks with essays” https://www.brainonllm.com/faq

Ironically, they listed the resulting “noise” reporters who use LLMs to summarize the paper and added: “Your human feedback is very welcome. If you read the paper or parts of it. The study also contains a list of restrictions that we list in the newspaper and on the website very clearly.”

There are two conclusions that we can certainly pull out of this study:

• Further studies on how LLMS should be used in educational environments is essential
• Students, reporters and the public who become a large scale about the information or generative AI we receive must remain of crucial importance

Researchers of the Vrije Universityitait Amsterdam are concerned that with our increasing trust in LLMS, the risk of critical thinking or our ability and willingness to question and change social norms could really be at risk.

“The pupils can carry out less likely or comprehensive search processes themselves, since they have postponed the relevant and informed tone of the Genai edition. The non-inpatient perspectives on which the output is based may be less likely, their perspectives are not considered, and the demands that inform the claims and the assumptions informed for the claims are adopted.”

These risks indicate a deeper problem in the AI. If we take its outputs to the nominal value, we can overlook embedded distortions and undisputed assumptions. Combating this information not only requires technical corrections, but also the critical reflection on what we understand primarily with bias.

These problems are of central importance for the work of Natasha Govender-Ropert, head of the AI for financial crimes at Rabobank. Your role focuses on building up a responsible, trustworthy AI by spending prejudices. But as she found in “Kia's Next Big Drive” on the TNW founder Boris Veldhuijzen van Zanten, the tendency is a subjective term and must be defined for each individual and every company.

“The bias has no consistent definition. What I think is biased or impartial can be different from someone else. This is something that we as humans and individuals have to make.

Social norms and prejudices are not firm, but are constantly changing. While society is developing, the historical data we train our LLMs are not. We have to remain critical and the information we receive, whether from our fellow human beings or our machines in order to build up a fair and fairer society.

The scientific world tumbles. New discoveries from the James Webb Space Telescope – A joint project by the European Space Agency (ESA), NASA and Canadian Space Agency (CSA) – are not only surprising, they contradict our deepest assumptions about how the universe works.

Basically, it seems that the universe may not play according to the rules that we have mostly understood.

What could all this mean for space research, space technology and future deep tech? And what should Space Tech companies, inventors, investors and VC funds in Europe be considered as a result of the latest discoveries?

At Beyond the earth daresIt is all about startups that build rockets, AIS for satellites, roombootech and fusion breaks.

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But as a Space fanatic we also like to see deeper, beyond tables and pitches, into the places where the theory breaks and the secret begins.

Enter the 10 billion USD WebB telescope, which was sent to orbit from European space in French -Guayana to look at the oldest light in the universe. The machine introduced in 2021 has been fully functional since July 2022.

Webb is not just an upgrade from Hubble. It is a time machine, an infrared zeninel and – perhaps most important – a destroyer of comfortable scientific assumptions.

Thanks to his findings, it becomes clear that we are about to change theoretical physics and cosmology shortly before. Expect a wave of courageous new theories, revisions of textbooks and a new debate about everything, from gravity to the origin of the galaxies in the next few years.

Before we take into account the implications, we zoom in the big discoveries of WebB, the holes in the beats in what we know about the universe. Some of them trigger theoretical crises. Others could trigger completely new research and invention fields.

The greatest revolutions begin when the theory no longer matches data. This happened with quantum mechanics. With general theory of relativity. With DNA. And maybe with the WebB telescope.

Here are 10 of his discoveries that challenge our theories about the universe:

1. The universe is expanding faster than it should

We knew about the “Hubble tension“But WebB has just confirmed it precisely. After the mathematics, the universe is expanding 70–76 Kilometer per second per megaparsec (KM/S/MPC) – much faster than that 67 km/s/mpc Predicted by models based on the early universe (the cosmic microwave background). Translation? Something in our physics is wrong or at least incomplete. Optimization of dark energy? A new force? A misunderstood early universe? The door is open.

2. Galaxies grew up too quickly

WebB discovered adult, massive galaxies straight 500 to 700 million years after the Big Bang. These things are as big as the Milky Way, but their early appearance contradicts established science. According to the standard cosmological models, you should simply not exist. Theories say that galaxies are growing slowly. The reality says: You got up quickly. Either we miss a trick – or the early universe was much more efficient than we thought.

3. Dark matter may be wrong – moon is right?

This is controversial: Webbs findings correspond more with Modified Newtonian dynamics (moon))) As the prevailing dark matter. Moon has long been the outsider of gravity theories. But if early galaxies are brighter and larger than expected – just like the moon predicted – we may have to rethink which invisible hand forms the cosmos.

4. Black holes were too ambitious

How do you get a black hole with 9 million solar masses only 570 million years after the Big Bang? Webb found that. This is astonishing, since according to current models in the early universe, according to current models, there was simply not enough time or material to grow such colossal black holes so quickly – which indicates either unknown physics or completely new formation routes. The black holes in some early galaxies are 1,000 x massive (compared to the galaxy) than those in today's universe. Either black holes were formed over an exotic mechanism – or they started as something larger than stars.

5. Complex chemistry? So early?

The galaxy Jades-GS-Z14-0 is only 300 million years old, but it is already rich in elements such as nitrogen that normally takes billions of years and several generations of stars to build up. How did these elements get there? Either the first stars formed and died Much faster than we thought or the Big Bang let us “prefabricated” than expected.

6. Stars with warp speed formed

Webb shows early galaxies as intensive, explosive star factories – a surprise for scientists. Models expected slow, gradual star formation. Instead, it is “huge balls of star formation”. Something – maybe a lack of dust or different physics – accelerated the timeline. And the models cannot keep up again.

7. Planetisms last longer than we thought

It was assumed that planet -forming windows quickly disappear by stars. But webb sees it at 20 to 30 million years. These are great news for the formation of exoplanets – and possibly for life. If planetary systems have more time to develop, life -friendly environments can be more common than we have ever dared to hope.

8. Galaxies were strange shaped

Half of the early galaxies looks like pool noodles or surf boards, not the small round blobs that we expected. The standard model says that the structure takes place later. But webbs shows us that galaxies were organized early – and we did not expect in shapes. Something about angle impulse and material dynamics in the early universe has to rethink.

9. Exoplanet atmosphere models are all wrong

WebB's ultra-specific spectroscopy showed that our models from Exoplanet Atmosphere cannot reliably distinguish between different types. This shakes everything, from habitability to the search for bisignatures. Basically, our “spectral fingerprints” are smeared – and it goes back to the drawing board.

10. The cosmic web was already there

Webb found a 3 million light year filament part of the Cosmic web – only 830 Millions of years after the Big Bang. This structure should take billions of years. Either the early universe quickly built things, or we generally misunderstood the timeline.

What does that mean for the Tech Ecosystem? For founders and VCS in Deep Tech, these results are not just a scientific trivia. They are early signals.

Europe's focus in the focus

In our view, Europe is uniquely positioned to guide the next wave of innovation that is triggered by James Webb's discoveries. The data streaming in has already catalyzed new research efforts in leading centers such as the maximum institutes of Germany, the University of Cambridge in Great Britain and ETH Zurich in Switzerland.

In the private sector, a new generation of European Deep -Tech startups is increasing to the challenge.

Space Forge (UK) develops reusable satellites in order to enable the production of progressive materials such as semiconductors into the room, which could drastically reduce energy consumption and carbon emissions, which speaks to the climate crisis.

Bioorbit (UK) promotes the microgravitility capable of biologics against cancer, with some therapies of hospital-IV drops being shifted to self-governing injections at home and radically improve the access and comfort of the patient.

fly (Germany) uses a fleet of lidar-equipped satellites and drones to exactly monitor greenhouse gas emissions in real time-and support industries in compliance with increasingly strict EU regulations in order to report THG emissions.

European Deep -Tech companies are increasingly supported by Horizon Europe, the flagship and innovation program of the EU (2021–2027), with a total budget of € 95.5 billion. Horizon Europe supports high-risk, high-ranking projects in the areas of climate, digital and deep tech areas and serve as a critical bridge between border-scientific discoveries, as from YEWS and groundbreaking commercial applications.

In our understanding of the universe, gaps could open unexpected opportunities for the European deep tech. Just as Cern Europe put at the top of the energetic physics, Webb could become a launchpad for the continent's space tech industry.

The discoveries of WebB could trigger a new era of innovation by overturning everything we knew about the universe. If the early universe didn't expect anything, what could we be wrong about?

Could the laws of physics develop themselves? Are we missing hidden variables in space -time? Dark matter is an illusion and if so, what does galaxies really have? Could life be started earlier and more often than we imagine?

Each of these questions could unlock a new wave of basic physics, new technologies or even completely new startup categories. From quantum gravitational models to exotic materials to AI-designed cosmological simulations, there is space for founders to build on the edge of the secret.

What next? Potentially a new generation of inventions, investors and eye opening discoveries. Europe is ready to use.

By investing in deep tech, the continent can transform the revelations of WebB into commercial success and shape the future of science and society equally.

The subscription model loved by software now crept into cars.

Volkswagen is the youngest car manufacturer who takes over the price structure. The German brand has introduced a monthly subscription fee to access the full performance of some of its ID.3 electric vehicles.

Auto Express discovered That the Volkswagen ID.3 Pro and ProS in Great Britain were listed as a production of 201 PS, but were able to reach 228 hp – if the customers paid extra. For these additional 27 hp, buyers can pay £ 16.50 per month, £ 165 per year or £ 649 for a lifelong subscription that transmits by car when it is resold.

Volkswagen described the add-on as an “optional power supply upgrade”.

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“If customers want to have an even sportier driving experience, they now have the opportunity to do this in the course of the vehicle instead of determining with a higher initial purchase price from the start,” said the company in a statement.

Volkswagen is not the first car manufacturer that introduces intended subscription services. European brands particularly like to have the model, since BMW, Mercedes-Benz and Polestar offer all upgrades through monthly fees.

The companies argue that plans offer control, flexibility and ongoing updates. They also offer the car manufacturers the ongoing cash flow, uppseling options after purchase and a valuable source for customer data. Essentially, they transform cars in platforms – replicating a model that has become omnipresent in the software.

Gone are the days of unique payments for apps. Subscribers that were made popular in the early 2010s by Spotify, Netflix and Productivity apps are the dominant model today.

There is even one now Category of tools This canceled undesirable subscriptions. Of course they are available after subscription.

The collective costs of these services can add up to large sums. You can also have forever paid for things that we never own, depending on providers who can increase their prices or remove characteristics from a mood.

Of course, we just couldn't pay and lose access to all these services. Better still, we could trigger a good old -fashioned outcry. It worked for BMW customers, whose anger already led in their cars over monthly fees for heated seats, the company led to scraping the plans.

Alternatively, we could simply wait for the subscription to spread throughout our life until a Tech Lord begins to raise a monthly fee for the air that we breathe. I will vote with my wallet – and heroically comfortably protest from my keyboard.

There is no doubt that Europe has ambition. In the past ten years we have laid the basis for a flourishing digital economy, from regulatory management to technical reforms and rapidly growing regional hubs. But the infrastructure alone does not build up the future. People do it. And today we are faced with the very human challenge of how to win and keep the talent that leads to innovation.

We see highly qualified people such as founders, engineers and product managers, move their operations or careers in the USA and in some cases in Asia. This trend reflects global competition in its violent role. But it is also a moment to think about what is clearly able to win and keep the technical talent that it takes.

Why talent moves – and why that is not the whole story

Talent follows opportunities in a deeply connected global market. For example, the USA offer capital in a scale that is still difficult to reach in Europe. Startups can grow on its uniform domestic market without navigating the complex regulatory limits that we often find in Europe. In areas such as KI and Deep Tech, there are simply more large -scale deployments and resources to gain engineers who are hungry for limits.

But talent doesn't just move in one direction. Many entrepreneurs return with sharper skills to not only build European activities, but also to combine with a feeling of home and achieve a better balance between work and life. The founders are increasingly building cross -border teams and leading products and engineering from Europe and at the same time scaling sales or partnerships worldwide.

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Europe is facing a test for its competitiveness and its trust in the global struggle for talent. I think we cannot fulfill this test by imitation of other ecosystems, but focus on what distinguishes us.

Sweden as a showcase of European strength

Sweden offers a strong example of the strengths of Europe. With 41 unicornsIt is one of the top 10 countries worldwide. Stockholm, his capital, is Second, only for Silicon Valley in unicorns per capita. Startups from Sweden have scaled worldwide and have been rooted in a strong local ecosystem.

What made this possible is not only capital, but also from a culture of trust, digital willingness, an innovative infrastructure and long -term investments in education. University education is for EU citizens without tuition fees, and digital public services such as E-ID have long been integrated into everyday life. There is a consistent agreement between the public and the private sector in supporting entrepreneurship.

This type of foundation guarantees no success, but it creates a platform for the growth of talents – and remains. And Sweden is not alone to promote these conditions. On the continent, cities such as Tallinn, Lisbon, Berlin and Málaga develop technical ecosystems that are rooted in local strengths and specializations and transform them into hubs for talent.

The strengths of Europe are structurally and undervalued

Europe is often quite-criticized in order to be over-regulated, with guidelines that slow down product cycles or can give start-ups complexity. However, these standards also serve a deeper purpose: the trust that is desired by modern consumers and talents.

In addition, Europe invests early and fairly in its population. Many countries offer universal health care, subsidized childcare and free or inexpensive training, which reduces the personal financial risk of starting or joining a startup. For employees, this creates a broader feeling of security and support that goes beyond the workplace. This stability can be invaluable and more people give freedom to take sensible entrepreneurial risks.

Europe tends to promote a different growth environment for startups than other global markets. With less access to hyper scale capital, companies often grow at a conscious pace than their American colleagues. A stronger occupational safety and more awareness of the footprint of a startup can also address talent to seek more than just quick outputs. For many builders today, sustainability is not just about metrics, but about values.

Of course, the picture is not perfect. Fragmented regulation in the EU member states, limited access to growth capital in the late stage and complex cross-border setting of cross-border. All generate friction. In the past few months we have seen that companies, especially in FinTech, have tightened the operation or moving of capital to the USA, since global investors are looking for faster returns and predictable scaling environments. These dynamic risks that push the top talents out of Europe.

But these challenges are not insoluble – and there are no reasons to be pessimistic. They are signaled that we have to develop faster, bold and with a greater feeling of cohesion on the continent.

What Europe has to do next

In order to prevent these forces from leading the talent, the first step is to regain the narrative. Europe is not a junior partner for global innovation. It already runs in areas such as open banking, green technology and digital services for privacy. Instead of formulating all regulation as a burden, we should position certain key regulations as a competitive advantage. It creates stability and transparency that increasingly appreciate today's talent and investors. If we want the next generation of entrepreneurs to build up here, they have to believe in the vision, and it starts how we tell our history.

Second, Europe has to tackle its regulatory fragmentation if it wants to unlock its full innovation potential. While our diversity is a strength, inconsistent rules in the Member States – from tax and labor law to data conformity and licensing – friction for startups that are to be operated across borders. This patchwork forces the founders to choose between cities if they are able to build seamlessly throughout the block. A stronger harmonization of startup-relevant guidelines and more integrated financing mechanisms in the markets would give Europe a coherent innovation room for technical talents than a patchwork of jurisdiction.

The continent must also invest in native innovation, keep ownership of its digital core infrastructure and protect its intellectual property. This requires a stronger financing environment in the late stage, more ambitious public-private f & e-initiatives and long-term support for innovative companies. It means continued to build on what makes Europe unique. In order to deepen the talent pool, long -term thinking, the inclusiveness and responsibility of the continent should be used as competitive strengths, not just as a soft ideal.

A technical ecosystem that is worth it built and remain for

Talent not only follows money – it also follows the meaning. Today's innovators want to work in environments in which they can have real effects. You are looking for flexibility, diversity, trust and purpose. Europe is uniquely positioned to meet these expectations – if it is hugged what it does. In a changing and uncertain world, Europe remains a stable democracy and offers a certain level of security that can attract investor interests and capital.

This is not a game with zero sums and talent that goes abroad does not mean that Europe loses. However, if we want to be a global innovation leader in the coming decade, we have to stand up for our values, remove barriers and tell our own story more effectively. If we do this, we can make Europe a place where first -class talent not only begins, but also heard.

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