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SpaceX just won its first Falcon 9 launch contract of the year
SpaceX has won its first Falcon 9 launch contract of 2020, adding to an already substantial backlog of missions scheduled to launch over the next several years.
Commercial Egyptian satellite communications provider Nilesat reportedly awarded SpaceX the contract on January 21st and announced the news the following day. Nilesat previously revealed plans to purchase an upgraded communications satellite from European company Thales Alenia Space in December 2019 – a contract likely worth around $50-100 million.
Nilesat 301 will replace Nilesat 201 and is expected to weigh around 4.1 metric tons (9050 lb) when it launches in 2022, meaning that SpaceX should easily be able to perform the mission with a Falcon 9 rocket and still be able to recover the booster by drone ship.
Back in February 2018, SpaceX Vice President of Build and Flight Reliability Hans Koenigsmann revealed that the company’s backlog of launches was valued at more than $12 billion. Generously assuming an average cost of $80M per backlogged mission, that would translate to more than 150 separate launches — strongly implying either that she was including the company’s own Starlink missions or that SpaceX has silently won several major constellation-class launch contracts in recent years.
Based on public info, SpaceX has roughly 55 customer launches on its manifest. The company also intends to launch as many as 24 dedicated Starlink missions this year and will need at least another 40-50 on top of that to complete the first phase of the broadband internet satellite constellation (~4400 spacecraft). Meanwhile, SpaceX has won at least nine separate launch contracts – two Falcon Heavy missions and seven Falcon 9s – in the last 18 months, but has launched 22 customer payloads in the same period.
In fewer words, SpaceX is effectively launching its existing commercial missions much faster than it’s receiving new contracts. In 2019, for example, the company launched only 11 commercial missions – 13 total including two internal 60-satellite Starlink launches. SpaceX launched 21 times in 2018, a record the company initially hoped to equal or even beat last year, but – for the first time ever – the launch company was consistently ready before its customers were.
Thankfully, while at least slightly concerning from a more traditional launch provider perspective, the fact that SpaceX is lately launching more commercial missions than it wins contracts for is being dealt with in a way no company has before. By designing and manufacturing its own Starlink satellite constellation, ultimately meant to include tens of thousands of spacecraft in orbit, SpaceX will very soon become its own biggest launch customer.
By continuing to launch a dozen or so commercial missions annually and picking up the slack with anywhere from one to several dozen additional Starlink launches, SpaceX may find a way to more or less subsidize its own launch needs and ensure that it almost always has substantial revenue coming in. That set-up almost certainly can’t last forever, but if SpaceX can launch a few thousand Starlink satellites in the next few years, there is a good chance that the company’s income as an Internet Service Provider (ISP) services can make the constellation self-sustaining – perhaps even profitable.
At the same time, SpaceX is also equally – if not more so – focused on lowering the operational cost of its Falcon 9 and Falcon Heavy launch vehicles by heavily leaning on reusability. Once fairing recovery and reuse is more routine, SpaceX could feasibly perform orbital-class launches with a material cost of $25 million or less, giving the company the option of both cutting costs and raising its profit margins. By lowering Falcon 9 launch contract costs, it’s possible that SpaceX will actually be able to significantly expand the market for orbital launch services.
All things considered, SpaceX’s launch business is entering new and exciting territory and it’s hard to say or know what exactly is going to happen in the next several years. For now, January 22nd’s seemingly routine Nilesat 301 launch contract award is hopefully just the tip of the 2020 iceberg.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
