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Porsche admits EV investment to take on Tesla is an “enormous burden”
It’s no secret that Porsche is looking to soak up market share away from Tesla when the automaker releases its long range, all-electric Mission E in 2019. Arguably one of Tesla’s strongest potential competitors, with decades of manufacturing expertise and support from parent company Volkswagen AG, the German automaker specializing in high performance vehicles is preparing to face financial headwinds as it aims to electrify its fleet.
Porsche’s CFO, Lutz Meschke, recently spoke with Automotive News Europe about the company’s plan to stay profitable as it invests billions into its electric vehicle program.
“Today Porsche packs 8,000 to 10,000 euros in added content into an electrified vehicle, but those costs cannot be passed on via the price. The customer won’t accept it, just the opposite, in some parts of the world there’s a certain hesitation,” said Meschke in his interview with Automotive News Europe.
As Porsche looks to invest more than 3 billion euros ($3.5 billion USD) into the development of EVs and plug-ins, the automaker will continue to build internal combustion engine vehicles in parallel and implement company-wide cost-cutting measures to retain its profit margin. “That’s an enormous burden for a company of our size.” says Meschke.
“To protect your margin, you have to look at substantial fixed cost cuts, but there’s only so much potential since the biggest chunks are personnel and development. As sales shift toward EVs, a temporary drop in profitability in the midterm may be expected.”
For context, Porsche’s investment into its EV program amounts to roughly 70% of what Tesla’s Gigafactory will cost when complete. It’s a massive undertaking that Porsche admits will require company restructuring along with financial incentives to its workforce. “We need to structure the company so that it is in position to sustainably achieve that. There can always be years when it might drop to below 15 percent due to exchange rates or an economic crisis, but every worker has to know we are not letting up.” says Porsche’s CFO. “There’s even a pension component.”
By setting a fixed margin target of 15% on a company-wide basis, Porsche’s entire workforce is able to work towards a single goal as looks to maintain a steady CapEx and R&D ratio. “It’s better for Porsche to work with a fixed margin target. It’s really an internal steering instrument. That’s why everyone in the company from the manager to the assembly line worker knows the goal is 15 percent. If we work with a range, that effect is diluted.”
Porsche Mission E concept rendering
When asked by Automotive News Europe on whether Porsche will need to implement a deep cost-cutting program to maintain the company’s high margins, Meschke responded “Under our Porsche Improvement Process, we aim for annual savings of at least 3 percent in indirect areas and 6 percent in direct ones.” Moreover, Porsche’s exec notes that the company performs a cross-department review each year to see if they were able to maintain a 10% savings. “There can always be a time when we need to pull on all levers, but identifying and extracting efficiencies is our everyday business. That way we don’t have to resort to major savings programs at the slightest headwind.”
Maximizing efficiencies across the organization is something Tesla CEO Elon Musk has long talked about. By “building the machine that builds the machine“, Tesla looks to utilize an army of manufacturing robots to achieve mass volume production of its product line that consists of vehicles, solar products and battery storage solutions. It’s the company’s key differentiator over other manufacturers that largely have robots augmenting human personnel as opposed to replacing them.
The goal to achieve full automation is Tesla’s biggest strength, yet also the company’s weakest link, as made evident when Musk announced that production of its mass market-intent Model 3 vehicle was facing issues. The downside to implementing a highly automated production line is the need to have robots that work in perfect harmony with one another. Any misconfiguration or general issue around a specific machine in the process becomes amplified across all other machines that rely on it. There’s less tolerance for errors in an automated process, explained Musk during the company’s third-quarter earnings call.
Porsche’s strategic entry into a market that’s been largely dominated by Tesla is an interesting match up that pits David versus Goliath. With two very different approaches to reaching mass volume production from two very distinct companies, it’s anyone’s guess who’ll come out ahead in the race to electric mobility. Regardless, competition helps stimulate innovation, productivity and growth prospects in the electric car sector, and that can only be a good thing.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
