Ahead of the United Nations COP28 climate summit in Dubai later this year, the International Energy Agency (IEA) has once again released its yearly report on energy generation and renewables.
The IEA shared the 2023 World Energy Outlook earlier this month, offering a comprehensive look at how energy is generated today and where energy industries are headed. The report is lengthy and includes a handful of insights, notably including that the agency expects there to be almost ten times as many electric vehicles (EVs) on the road by 2030 with the current path of global policies.
The report looked at inputs for three potential scenarios based on the Global Energy Climate (GEC) model: the Stated Policies Scenario (STEPS), looking at currently in-place policies sector by sector and country by country; the Announced Pledges Scenario (APS), which assumes that government and industry climate commitments are met in full and on time; and the Net-Zero Emissions (NZE) by 2050 Scenario, which looks at a specific emissions trajectory set to keep the temperature increases below 1.5 degrees Celsius.
You can see the IEA’s definitions and objectives for looking at each model scenario below.
Credit: IEA | World Energy Outlook 2023
According to the report’s STEPS scenario, EVs comprise roughly 15 percent of car sales globally and are expected to increase to 40 percent by 2030. In addition to the increase in EVs, the agency expects renewable energy to make up 50 percent of the global electricity mix by 2030, jumping from around 30 percent today.
The agency also says that, for the first time ever, it can see a path to peak demand for coal, oil and natural gas within this decade, and it expects global energy-related carbon dioxide (CO2) emissions to peak by 2025.
Fossil fuel market share is also expected to drop to 73 percent by 2030 after floating at about 80 percent for the past few decades.
The agency is also seeing growth in investments in renewable energy, including the adoption of EVs, solar PV generation, and heat pumps and other electric heating equipment being sold more than fossil fuel boilers on a global scale.
Interestingly, the IEA notes that, for every $1 invested in fossil fuels five years ago, $1 also went to clean energy. In 2023, however, for every $1 invested into fossil fuels, there is $1.80 going toward renewable energy, depicting the continued investment increases in clean energy.
You can see the IEA’s chart on investment flows below, showing a decrease in oil demand and increases to low-emissions power sources.
Credit: IEA | World Energy Outlook 2023
Although the report also shows a continued increase in renewable energy investments, the IEA says that stronger policies are still needed if the world hopes to limit global warming to 1.5 degrees Celsius. At the current rate, the IEA says global emissions are high enough to push global average temperatures upward by roughly 2.4 degrees Celsius within this century.
In response to a post with the investment flow chart on X, Tesla Senior Vice President of Powertrain and Energy Drew Baglino also weighed in, emphasizing that there is still more to be done to help transition the world to renewables.
Super interesting charts. Great to see investment shifting to sustainble energy, but we need to do more to accelerate.
— Drew Baglino (@baglino) October 30, 2023
The report touches on several other renewable energy topics, including current geopolitical conflicts going on in the Middle East that could be poised to threaten the security of world energy systems.
You can watch the full live stream of the World Energy Outlook below,
You can also read the IEA’s full press release on this year’s World Energy Outlook here or watch the agency’s full live stream detailing the report below, complete with a Q&A with the agency’s directors.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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.”
News
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
