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Tesla and the danger of soft budget constraints

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Tesla considering factory in China

 

The Wall Street Journal is not always friendly to Elon Musk and Tesla Motors. In an article published August 16, staff writer Holman Jenkins, Jr. suggests that Tesla is one election away from extinction. Why? Holman bases his analysis on a study of John Z. DeLorean and an economic principle known as soft budget constraints.

The study by Graham Brownlow of Queen’s University Belfast was published in October, 2014. It says one of the foundations for DeLorean’s start-up car company was the willingness of the British government to subsidize the enterprise with grants, tax breaks, government backed loans, and other political incentives.

In 1975 when DeLorean Motors began, conflict between Protestants and Catholics in Ireland was at a fever pitch. The economy of Northern Ireland was in tatters and the British government was desperate to attract manufacturing jobs to the area. DeLorean promised to do just that and the government responded with open arms.

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Brownlow says the support from the government amounted to what economists refer to as soft budget constraints, meaning the company never had to turn a profit. In effect, as DeLorean boasted at the time, the government was in so deep, it had no choice but to continue funding the operation. In layman’s terms, its like having rich parents and knowing they will cover your losses no matter how foolishly you spend your money.

Jenkins says Tesla Motors is similarly positioned. It is the beneficiary of several indirect government subsidies such as  federal and state tax credits, HOV stickers, and the like. He also claims the company benefits from direct government support in the form of loan guarantees and corporate tax credits. Taken together, they provide Tesla with the ability to exceed normal budgetary constraints on a regular basis.

He prefers what he would term the more traditional model, as laid out by Brownlow. “The more [an entrepreneur] expects that the existence and growth of the firm will depend solely on production costs and proceeds from sales, the more he will respect the budget constraint,” Brownlow writes.

Jenkins hints darkly that Musk’s recent decision to bring the start of production of the Model 3 forward by 2 years is a ploy designed to force the federal government to extend the tax credit program for buyers of electric cars. Tesla will be bumping up against the 200,000 vehicle limit in total US sales by the time that car goes on sale.

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He also thinks the merger between Tesla and SolarCity is intended to mute the criticism that Teslas are not as environmentally friendly as they are touted to be, since the majority of electricity in the United States comes from burning fossil fuels like natural gas and coal.

Jenkins reminds readers that John DeLorean’s dream came crashing down once Margaret Thatcher came to power. She turned off the financial spigot that had propped him up, with predictable results. The implication is that Tesla is just one election away from a similar fate.

Jenkins could be the designated cheerleader for all the people who have shorted Tesla stock. The comments appended to his story in the Journal make it clear his opinions have plenty of enthusiastic supporters, many of whom view Elon Musk as little more than a scam artist.

In his efforts to advocate for a level playing field where every corporation pays all its bills on time, pays all its taxes, never accepts a hand out from the government, and always does the right thing, he conveniently overlooks the $5 trillion a year in direct and indirect subsidies the International Monetary Fund says are provided to the fossil fuel industry every year.

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There is a coda to the DeLorean story, one that is seldom told. It is said that John Z personally selected the spot where his factory in Northern Ireland would be built. The Irish have a long and steadfast belief in what they call “the little people.” We call them leprechauns.

According to the story, the site DeLorean chose required the removal of a whitethorn tree. Now, everyone knows the little people build their homes in the roots of whitethorn trees. Uprooting one is guaranteed to bring some seriously bad mojo down on your head.

What happened to DeLorean only proves that legend may be more powerful than economic theory. The antidote to Jenkins’ gloomy predictions may be to inform Elon he must never cut down a whitethorn tree to build one of his factories.

Source: Wall Street Journal

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Tesla workers push back against Giga Berlin unionization

“IG Metall did not succeed in Giga Berlin‘s works council election earlier today. The union share was reduced from nearly 40% in 2024 to 31% in 2026! This is a clear message by the Giga Berlin team towards an independent co-determination! The list called Giga United, led by the current chairwoman, Michaela Schmitz, received the most votes with more than 40%! Good news for Giga Berlin!”

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Tesla workers pushed back against unionization efforts at Gigafactory Berlin, and over the past few years, there has been a dramatic decrease in interest to unionize at the German plant.

Gigafactory Berlin Plant Manager André Thierig announced on Wednesday that IG Metall, the European union group, saw its share reduce from 40 to 31 percent in 2026 as employees eligible to vote on the issue. Instead, the Giga Berlin team, known as Giga United, received the most votes with more than 40 percent.

Thierig gave specific details in a post on X:

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“IG Metall did not succeed in Giga Berlin‘s works council election earlier today. The union share was reduced from nearly 40% in 2024 to 31% in 2026! This is a clear message by the Giga Berlin team towards an independent co-determination! The list called Giga United, led by the current chairwoman, Michaela Schmitz, received the most votes with more than 40%! Good news for Giga Berlin!”

There were over 10,700 total employees who were eligible to vote, with 87 percent of them turning out to cast what they wanted. There were three key outcomes: Giga United, IG Metall, and other notable groups, with the most popular being the Polish Initiative.

The 37-seat council remains dominated by non-unionized representatives, preserving Giga Berlin as Germany’s only major auto plant without a collective bargaining agreement.

Thierig and Tesla framed the outcome as employee support for an “independent, flexible, and unbureaucratic” future, enabling acceleration on projects like potential expansions or new models. IG Metall expressed disappointment, accusing management of intimidation tactics and an “unfair” campaign.

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The first election of this nature happened back in 2022. In 2024, IG Metall emerged as the largest single faction with 39.4 percent, but non-union lists coalesced for a majority.

But this year was different. There was some extra tension at Giga Berlin this year, as just two weeks ago, an IG Metall rep was accused by Tesla of secretly recording a council meeting. The group countersued for defamation.

Tesla Giga Berlin plant manager faces defamation probe after IG Metall union complaint

This result from the 2026 vote reinforced Tesla’s model of direct employee-management alignment over traditional German union structures, amid ongoing debates about working conditions. IG Metall views it as a setback but continues advocacy. Tesla sees it as validation of its approach in a competitive EV market.

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This outcome may influence future labor dynamics at Giga Berlin, including any revival of expansion plans or product lines, which Musk has talked about recently.

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SpaceX President Gwynne Shotwell details xAI power pledge at White House event

The commitment was announced during an event with United States President Donald Trump.

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Credit: xAI

SpaceX President Gwynne Shotwell stated that xAI will develop 1.2 gigawatts of power at its Memphis-area AI supercomputer site as part of the White House’s new “Ratepayer Protection Pledge.” 

The commitment was announced during an event with United States President Donald Trump.

During the White House event, Shotwell stated that xAI’s AI data center near Memphis would include a major energy installation designed to support the facility’s power needs.

“As you know, xAI builds huge supercomputers and data centers and we build them fast. Currently, we’re building one on the Tennessee-Mississippi state line. As part of today’s commitment, we will take extensive additional steps to continue to reduce the costs of electricity for our neighbors… 

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“xAI will therefore commit to develop 1.2 GW of power as our supercomputer’s primary power source. That will be for every additional data center as well. We will expand what is already the largest global Megapack power installation in the world,” Shotwell said.

She added that the system would provide significant backup power capacity.

“The installation will provide enough backup power to power the city of Memphis, and more than sufficient energy to power the town of Southaven, Mississippi where the data center resides. We will build new substations and invest in electrical infrastructure to provide stability to the area’s grid.”

Shotwell also noted that xAI will be supporting the area’s water supply as well. 

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“We haven’t talked about it yet, but this is actually quite important. We will build state-of-the-art water recycling plants that will protect approximately 4.7 billion gallons of water from the Memphis aquifer each year. And we will employ thousands of American workers from around the city of Memphis on both sides of the TN-MS border,” she noted. 

The Ratepayer Protection Pledge was introduced as part of the federal government’s effort to address concerns about rising electricity costs tied to large AI data centers, as noted in an Insider report. Under the agreement, companies developing major AI infrastructure projects committed to covering their own power generation needs and avoiding additional costs for local ratepayers.

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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever

With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.

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Credit: Tesla

Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.

With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.

It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.

These are my thoughts on it thus far:

Speed Profiles Are a Mixed Bag

Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.

I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.

Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.

To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.

In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.

Strange Turn Signal Behavior

This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.

Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.

On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.

Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:

When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.

Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.

Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.

Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.

I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.

Parking Performance is Still Underwhelming

Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.

However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.

Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.

Tesla ends Full Self-Driving purchase option in the U.S.

A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.

I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.

It’s Doing Things (For Me) It’s Never Done Before

Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.

I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.

I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.

Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:

Navigation Still SUCKS

Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.

It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.

It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.

It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.

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