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Porsche admits EV investment to take on Tesla is an “enormous burden”

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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.

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“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.

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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.

Gene has been obsessed with cars since before he could legally sit in the front seat. Writer, researcher, unofficial CS support, accountant, native suit guy when needed, and overall stick poker. He approaches every story the way he approaches a road trip: with too much enthusiasm, not enough planning, and a surprisingly good outcome. gene@teslarati.com

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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