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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.
Elon Musk
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report
The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
(Credit: Tesla)
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.
Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
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The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
News
Tesla adds awesome new driving feature to Model Y
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla writes in the release notes for the feature:
“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”
🚨 Tesla has added a new “Comfort Braking” update with 2026.8
“Your Tesla provides a smoother feel as you come to a complete stop during routine braking.” https://t.co/afqCpBSVeA pic.twitter.com/C6MRmzfzls
— TESLARATI (@Teslarati) March 13, 2026
Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.
There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.
This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.
Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.
Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.
We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
What is Digital Optimus? The new Tesla and xAI project explained
