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SolarCity Struggles: What Tesla? (Part 1)
SolarCity reference from TeslaMotors.com
Shortly after ordering my Tesla Model S I contacted SolarCity, as referred through TeslaMotors.com, with the premise that I would be getting solar panels installed on my property. I wrote about the positive sales process that I experienced and wanted to round out the rest of the story through a multi-part series.
Background
Reference from TeslaMotors.com – ‘charging’ page
I live on a horse farm in Massachusetts. We have one address, but two electric meters for accounting purposes. So, when I signed up for SolarCity I actually signed up twice – once for each meter.
We receive two plans with separate systems sized for the needs of each meter. The initial house plan was for a system to generate 24,000 kWh/year while the system for the farm would generate 21,000 kWh/year.
That’s where we left off with the sales process before moving onto the design process. That’s when things started to go sideways.
“What Tesla?”
Despite the fact that I signed up through the Tesla Motors site and mentioned several times I was getting a Tesla Model S, the additional energy usage was not considered in any of the planning. I was naïve at the time and hadn’t thought about how much the Tesla would actually affect my energy usage, and if you thought the SolarCity folks would be well-versed in this, they weren’t.
SolarCity knew little about what the Tesla Model S would consume in power.
When you initially sign up with SolarCity they collect all sorts of data from you. They collect a years worth of prior electricity bills; they perform a thorough site survey; they take 360 degree pictures from your roof, and they do a home energy assessment. In my case this was done twice since I had two meters across the properties. The design process sounds impressive but it was flawed.
The home energy assessment is generic and not very tailored to your exact situation. They provide generic advice about getting more efficient appliances and energy efficient bulbs and electronic devices, which to me was pure common sense. SolarCity’s break-even analysis was based off of those generic recommendations which, to me, made no sense. They also missed the fact I was getting a Tesla in all of the planning. My electricity usage was already high to begin with, and now with a Tesla Model S that would be seeing at least 30k miles a year, the Tesla would be a significant factor in my future energy use. It turned out that I needed about 30% more solar capacity to cover the Tesla.
After pointing this out to them and going through another round of engineering design rework, we ended up with a plan for a 37,000 kWh/year system for the house.
Commitment
Before I dive into the struggles that were encountered throughout the process, it’s important to note that my proposed system costs upwards of $170,000 distributed over 20 years, but with no upfront costs. One of the sales folks said the proposed combined system would be the largest residential system in New England.
All of this should have tipped me off to the troubles that would follow. But I figured with Elon Musk backing SolarCity and the company’s perception as the fastest growing full-service solar company, I was in good hands since they knew what they were doing. I was wrong.
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More on SolarCity’s execution challenges in the part 2 of this series.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
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The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
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Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
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This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
SpaceX just picked up another $1.6 billion from the Pentagon, with the U.S. Space Force awarding two task orders worth $1.6 billion to fly 18 Falcon 9 missions from Vandenberg Space Force Base in California through the end of 2027. The launches will carry satellites for the Space Based Sensing and Targeting portfolio, a set of programs meant to help the military detect and track airborne threats and relay that information across forces in near real time.
The award falls under National Security Space Launch Phase 3 Lane 1, the Space Force’s faster, commercial style procurement track for missions that do not require the military’s most demanding certification process. It is also the largest single order publicly disclosed under that program so far, and the first task order issued since the Space Force nearly tripled Lane 1’s contract ceiling from $5.6 billion to $17 billion on July 17.
SpaceX to become America’s Military data backbone for missiles, drones, and warfighters
Eric Zarybnisky, the Space Force’s acting portfolio acquisition executive for space access, said the entire process, from identifying the requirement to signing the contract, took about two months, including a month set aside for companies to prepare proposals.
SpaceX is not just launching these satellites. It already holds the contracts to build two of the programs within the same portfolio, $4.16 billion for the Space Based Airborne Moving Target Indicator system and $2.29 billion for the Space Data Network Backbone, which Teslarati covered in May. That means SpaceX is now responsible for both building key pieces of the military’s next generation sensing network and getting them into orbit.
With this latest award, SpaceX’s Pentagon contract total for 2026 alone tops $8 billion, adding to a defense portfolio that already includes the Golden Dome missile defense software group SpaceX joined in April and a string of GPS launches it inherited after ULA’s Vulcan rocket ran into a booster anomaly, which we detailed in March.
Lane 1’s vendor pool technically includes seven companies: SpaceX, ULA, Blue Origin, Rocket Lab, Stoke Space, Impulse Space, and Relativity Space. In practice, SpaceX remains the only provider with the combination of launch cadence, flight proven Falcon 9 hardware, and West Coast infrastructure to support a campaign requiring roughly one Vandenberg launch a month for the next year and a half.
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Some lawmakers have flagged the growing concentration of national security launches with one company as a risk worth watching. For now, the Space Force keeps backing SpaceX, with it being the company that shows up ready to launch.
Elon Musk has a crazy prediction about AI in two years
Tesla just built it 10 millionth car
