Tesla (TSLA) is making big progress in testing driverless robotaxis on public roads and attracting attention from analysts and investors. The company started testing its self-driving cars in Austin, Texas, on December 15. No human safety monitor was on board. This was a milestone that Tesla’s leaders said would happen by year’s end. This shift represents a key part of the EV giant’s long‑term strategy for autonomous vehicles and future mobility services.
At the same time, Wall Street firms, including Morgan Stanley, are issuing forecasts about Tesla’s robotaxi plans and their potential impact on the company’s future. Analysts calculate the scale of robotaxi fleets and potential valuation effects over the next decade.
These changes have kept Tesla’s stock in the spotlight for investors and the market, even with challenges in electric vehicle sales growth.
Driverless Robotaxis Hit Austin Streets
Tesla (TSLA stock) began testing its self-driving cars on public roads in Austin, Texas. There were no human drivers or safety monitors in the front seats. CEO Elon Musk confirmed that fully driverless tests are happening. He sees this as an important step toward commercial operation.
Earlier in 2025, Tesla had already launched a limited robotaxi service in Austin using modified Model Y vehicles. Initially, these vehicles included a human safety monitor in the passenger seat to observe system performance.
Over the months, Tesla grew its service area and fleet size. By December 2025, reports showed about 31 active robotaxis operating in the city.
Recent tests without monitors show progress. However, they are still for internal validation, not for daily commercial use. Tesla confirmed that tests aren’t open to paying customers yet. The company hasn’t provided a specific date for when fully autonomous rides will be available to the public.
The Technology Behind Tesla’s Autonomous Effort
Tesla’s autonomous driving push relies on its Full Self‑Driving (FSD) software and onboard sensors. The FSD system can manage various driving situations. It uses cameras, radar inputs, and neural network processing. This differs from some competitors that rely on additional sensors such as LiDAR for redundancy.
In June 2025, Tesla shared its Q2 tech update. The company boosted AI training by adding tens of thousands of GPUs at its Gigafactory in Texas. This expansion supports improvements in FSD, where the company reported its first autonomous delivery. A Model Y drove itself without human help for 30 minutes.
Vehicles with FSD software need regulatory approval to drive on their own. In the Austin pilot, removing physical safety monitors marks progress toward that goal. Achieving fully reliable, unsupervised autonomy is still a challenge. This is true, especially when it comes to safety standards and different road conditions.
- SEE MORE on TESLA:
- Tesla Rolls Out Full Self-Driving (FSD) in Australia & New Zealand: What Drivers and Investors Need to Know
- TSLA Stock Slides After Tesla Unveils ‘Affordable’ Model Y and Model 3 — Investor Confidence Wavers
- Tesla (TSLA Stock) Sparks $2.1B Samsung Battery Deal as Global EV Demand Charges Ahead
Wall Street Eyes Tesla’s Robotaxi Potential, Sending Stock Near Record Highs
Tesla’s autonomous ambitions are closely watched by financial analysts. Morgan Stanley just shared forecasts that say Tesla could greatly grow its robotaxi presence in the next 10 years.
The bank says Tesla might have 1 million robotaxis on the road by 2035. These will operate in various cities as part of its autonomous fleet plan.
Morgan Stanley’s analysis sees active robotaxi units growing in 2026. However, the first fleets will be small compared to the long-term plan. The forecasts show the possible size of the autonomous vehicle market. They also highlight Tesla’s role in this growth. However, there are uncertainties tied to technology and regulations.
Stock markets have reacted to these developments. Tesla’s stock price nearly hit record highs. It rose almost 5% during trading sessions. Investors were excited about progress in driverless testing and the promise of future autonomous revenue. Analysts say Tesla’s value might go up more if its autonomous services and AI products perform well.

Tesla’s Vision for Autonomous Mobility Services
Tesla’s robotaxi initiative fits into its broader vision of mobility services and artificial intelligence (AI)‑driven transport. The company plans to launch purpose-built autonomous vehicles, like the Cybercab. These vehicles won’t have traditional controls, such as steering wheels or pedals. They aim for mass production in April 2026.
Tesla sees a future where owners can add their cars to a decentralized robotaxi network. This could boost fleet availability and usage. This strategy could shift parts of Tesla’s revenue profile away from vehicle sales toward recurring service revenues if adopted at scale. The global robotaxi market could reach over $45 billion in 2030, as shown below.

Analysts say that major technical, regulatory, and safety issues still stand in the way of robotaxis operating widely and making a profit. Building public trust, meeting varied local regulations, and demonstrating consistent safety across different road environments will be key factors in future deployment.
Tesla vs Competitors and Safety Regulations
Tesla is not alone in the autonomous vehicle race. Other companies, such as Alphabet’s Waymo, owned by Alphabet, have been operating fully autonomous services in multiple cities for several years and continue to expand.
The company operates about 2,500 robotaxis across multiple cities. Waymo has logged millions of paid autonomous rides and already meets higher autonomy standards in some regions. In comparison, Tesla operates around 31 robotaxis in Austin, with plans to expand to several major U.S. cities by 2026.

Tesla chose camera-centric sensors over multi-sensor arrays. This decision shows their focus on scalability and cost. Critics and some experts argue that adding LiDAR or other sensors could improve safety and performance under challenging conditions.
Regulators also play an important role. In some states, pilot autonomously driven services are permitted under special testing allowances. Widespread commercial use needs approval from both state and federal agencies. This ensures that vehicles meet safety and operational standards.
What’s Next for Tesla’s Driverless Fleets
Tesla’s move to test robotaxis without onboard safety monitors in Austin marks a clear technical milestone, though it is not yet a commercial service. The company’s next steps will likely focus on scaling test fleets, improving software robustness, and navigating regulatory approvals to allow expanded operations in other cities in 2026 and beyond.
Morgan Stanley and other analysts think robotaxis might play a big role in Tesla’s growth. They could boost service revenue as traditional vehicle sales slow down. However, forecasts at this stage remain based on long‑range assumptions about adoption, pricing, and regulatory landscapes.
Investor sentiment has been mixed. Stock movements show excitement about tech advances but also worry about short-term vehicle sales and profit pressures in the auto industry.
Overall, Tesla’s autonomous ambitions continue to shape its corporate strategy and public profile. The speed of robotaxi rollout, along with improvements in Full Self-Driving software and AI, will be key to seeing if the company can shift from an EV maker to a driverless mobility platform.
The post Tesla Tests Driverless Robotaxis in Austin While Analysts Predict 1 Million by 2035 Growth, Sending Stocks Up appeared first on Carbon Credits.
Carbon Footprint
Nasdaq Invests in First EU-Certified Carbon Removal Credits from Stockholm Exergi
Nasdaq has backed one of the first carbon removal credit deals licensed under European Union rules. The project is based in Stockholm and is designed to generate high-quality carbon removal credits under a formal EU framework.
This marks a key shift. For years, carbon markets have relied on voluntary standards with mixed credibility. Now, the European Union has developed a regulated system to define what counts as a valid carbon removal. This move aims to build trust and attract large investors into a market that is still in its early stages.
The deal shows growing interest from major companies. It also reflects rising demand for reliable ways to remove carbon from the atmosphere.
Inside the Stockholm Carbon Removal Project
The removal project is run by Stockholm Exergi. It uses a process called BECCS, or bioenergy with carbon capture and storage. This method burns biomass, such as wood waste and agricultural residues, to produce heat and electricity. At the same time, it captures the carbon dioxide released and stores it underground.
The captured CO₂ will be transported and stored deep beneath the North Sea in rock formations. Over time, it will turn into solid minerals. This makes the carbon removal long-lasting and more secure than many nature-based solutions.
The facility is expected to start operating in 2028. Once active, it will generate carbon removal credits that companies can buy to balance their remaining emissions.
Beccs Stockholm is one of the world’s largest carbon removal projects. In its first ten years, the project could remove about 7.83 million tonnes of CO₂ equivalent. This makes it a key tool for helping the European Union reach climate neutrality by 2050.
The project also aims to scale carbon removal by building a full CCS value chain in Northern Europe and supporting a growing market for negative emissions credits.
This project is important because it is one of the first to follow the EU’s new carbon removal certification rules. These rules define how carbon removal should be measured, verified, and reported. They also aim to reduce risks like double-counting and weak accounting.
EU Certification: Building Trust in a Fragile Market
The European Commission has introduced a framework, also called Carbon Removals and Carbon Farming (CRCF) Regulation, to certify carbon removal activities. This includes technologies like BECCS, direct air capture with carbon storage, and biochar.
The goal is to create a trusted system that investors and companies can rely on. It also established the first EU-wide certification framework for carbon farming and carbon storage in products, not just removals.
Until now, the voluntary carbon market (VCM) has faced criticism. Concerns about transparency and “greenwashing” have made some companies cautious. Many buyers want stronger proof that credits represent real and permanent carbon removal.
The EU framework tries to solve this problem. It sets clear rules for:
- Measuring how much carbon is removed.
- Verifying results through independent checks.
- Ensuring long-term storage of CO₂.
This structure may help standardize the market. It could also make carbon removal credits easier to compare and trade across borders. The Commission states that the goal of having the framework is:
“to build trust in carbon removals and carbon farming while creating a competitive, sustainable, and circular economy.”
Corporate Demand Is Growing—but Still Limited
Large companies are starting to invest in carbon removal. However, the market remains small compared to what is needed.
One major buyer is Microsoft. It currently holds about 35% of all global carbon removal credits, making it a dominant player in the market. In fact, it is responsible for 92% of purchased removal credits in the first half of 2025.

Other companies, including Adyen, a Dutch payments provider, have also joined the Stockholm project. These early buyers aim to secure a future supply of high-quality carbon credits as demand grows.
Ella Douglas, Adyen’s global sustainability lead, said in an interview with the Wall Street Journal:
“This project does exactly that [“catalytic impact” to the VMC] while also building key market infrastructure in collaboration with the European Commission.”
Still, many firms remain cautious. Carbon removal technologies are often expensive and not yet proven at a large scale. Some companies also worry about reputational risks if projects fail to deliver real climate benefits.
This creates a gap. Demand is rising, but the supply of trusted credits is still limited.
- SEE event: Carbon Removal Investment Summit 2026
A Market Set for Rapid Growth
Despite these challenges, the long-term outlook for carbon removal is strong. Estimates suggest the market could reach $250 billion by mid-century, according to MSCI Carbon Markets.

Several factors drive this growth:
- First, global climate targets require large-scale carbon removal. The Intergovernmental Panel on Climate Change estimates that the world may need to remove around 10 billion metric tons of CO₂ per year by 2050 to limit warming.
- Second, many companies have set net-zero goals. These targets often include removing emissions that cannot be avoided, especially in sectors like aviation, shipping, and heavy industry.
- Third, new regulations are pushing companies to disclose and manage emissions more clearly. This increases demand for credible carbon solutions.
However, the current supply falls far short of what is needed. Only a small share of the required carbon removal credits has been developed or sold so far.
Balancing Removal and Emissions Cuts
While carbon removal is gaining attention, experts stress that it cannot replace emissions reductions. Removing carbon from the atmosphere is often more expensive and complex than avoiding emissions in the first place.
Groups like the European Environmental Bureau warn that over-reliance on credits could delay real climate action. They argue that companies should set separate targets for reducing emissions and for removing carbon.
The EU framework reflects this concern. It treats carbon removal as a tool for addressing residual emissions, not as a substitute for cutting pollution at the source. This distinction is important. It helps ensure that carbon markets support, rather than weaken, overall climate goals.
From Concept to Market Infrastructure
The Stockholm project marks a turning point for carbon removal. It shows how rules, strong verification, and corporate backing can bring structure to a fragmented market.
With support from players like Nasdaq, carbon removal is moving closer to becoming a mainstream financial asset. At the same time, the European Union’s certification system is setting the foundation for a more credible and scalable market.
The path ahead remains complex. Technologies must scale. Costs must fall. Trust must grow. But the direction is clear.
Carbon removal is no longer a niche idea. It is becoming a key part of the global climate economy, with the potential to shape investment flows for decades to come.
The post Nasdaq Invests in First EU-Certified Carbon Removal Credits from Stockholm Exergi appeared first on Carbon Credits.
Carbon Footprint
AI Solutions from Microsoft and NVIDIA Power DOE’s Nuclear Energy Genesis Mission
The nuclear energy industry is entering a new phase of transformation. This shift is no longer just about building reactors—it is about building them faster, smarter, and more efficiently.
A recent breakthrough led by the U.S. Department of Energy (DOE), in collaboration with Idaho National Laboratory, Argonne National Laboratory, Microsoft, NVIDIA, Everstar, and Aalo Atomics, highlights that AI tools can streamline the nuclear regulatory process.
AI and DOE’s Genesis Mission: Breaking Bottlenecks in Nuclear Energy Deployment
The work supports President Trump’s Genesis Mission, a national initiative aimed at driving a new era of AI-accelerated innovation and discovery. The mission focuses on using advanced technologies like AI to solve critical national challenges, from energy to healthcare and beyond.
Under the Genesis Mission, DOE recently announced $293 million in competitive funding to tackle twenty-six pressing science and technology challenges, including one dedicated to speeding up nuclear energy deployment.
Rian Bahran, Deputy Assistant Secretary for Nuclear Reactors. said,
“Now is the time to move boldly on AI-accelerated nuclear energy deployment,” “This partnership, combined with the President’s orders, represents more than incremental ‘uplift’ improvements. It has the potential to transform how industry prepares its regulatory submissions and deploys nuclear energy while upholding the highest standards of safety and compliance.”
Simply put, from licensing to construction and operations, AI is now helping eliminate long-standing bottlenecks.
Faster Nuclear Licensing with Advanced Tools
The DOE’s recent announcement is a big step in modernizing nuclear regulation. Normally, preparing licensing documents for nuclear reactors is slow and complicated. It requires reviewing thousands of pages of technical data and making sure everything meets strict rules.
This shows how AI can make nuclear licensing faster and more accurate, helping advanced reactors reach the market sooner. Here’s how AI is simplifying this usually long and complex process.

Kevin Kong, CEO and Founder of Everstar, added:
“Nuclear is poised to solve today’s critical energy challenges,” said “We’re excited to partner with INL to meet the moment, working together to accelerate regulatory review and commercialization.”
Microsoft and NVIDIA Partnership: Building AI Infrastructure for Nuclear Energy
While the DOE demonstration focused on licensing, the broader transformation is being driven by a powerful collaboration between Microsoft and NVIDIA.
Together, they are developing a full-stack AI ecosystem designed specifically for nuclear energy. This platform combines cloud computing, simulation tools, and advanced AI models to streamline every phase of a nuclear project.
Key technologies in this ecosystem include:
- NVIDIA Omniverse for simulation and digital modeling
- NVIDIA CUDA-X and AI Enterprise for high-performance computing
- Microsoft Azure AI for data processing and automation
- Microsoft’s Generative AI tools for permitting and documentation
This integrated system enables developers to manage complex workflows in a unified environment. Instead of working with disconnected tools and datasets, teams can now operate within a single, AI-powered framework.
As a result, nuclear projects become more efficient, transparent, and predictable.
Carmen Krueger, Corporate Vice President, US Federal, Microsoft, further added:
“Our collaborations with DOE, INL, and across the industry are demonstrating how we can effectively bring secure, scalable AI technologies to solve key energy challenges and achieve the broader national and economic security goals envisioned by the Department’s Genesis Mission.”
Aalo Atomics: Cutting Permitting Time and Costs with AI
One of the most compelling real-world examples of AI impact comes from Aalo Atomics.
By leveraging Microsoft’s Generative AI for Permitting solution, Aalo has achieved dramatic improvements in project timelines. The company reported:
- A 92% reduction in permitting time
- Estimated annual savings of $80 million
These results show how AI can address one of the biggest challenges in nuclear development—delays caused by regulatory complexity.
Permitting often takes years and requires extensive documentation. However, AI can automate much of this work, allowing teams to focus on critical decision-making rather than repetitive tasks.
For Aalo, the value goes beyond speed. The technology also improves confidence in project execution by ensuring that all documentation is consistent, complete, and aligned with regulatory expectations.
This video demonstrated further details:
AI-Powered Nuclear Lifecycle: From Design to Operations
The impact of AI is not limited to licensing. It extends across the entire lifecycle of a nuclear plant. In the blog post, written by Darryl Willis, Corporate Vice President, Worldwide Energy and Resources Industry of Microsoft, explained how AI can help nuclear in a broader context.
- Design and Engineering Optimization: AI and digital twins allow engineers to simulate reactor designs in real time. This enables faster iteration and better decision-making. Developers can reuse proven design patterns and instantly evaluate how changes affect performance, safety, and cost.
- Licensing and Permitting Automation: Generative AI handles document drafting, data integration, and gap analysis. It ensures that applications are complete and consistent, reducing delays during regulatory review. This allows experts to focus on safety assessments instead of administrative tasks.
- Construction and Project Delivery: Advanced simulations now include time and cost dimensions. These 4D and 5D models allow developers to track progress, predict delays, and avoid costly rework. AI also enables real-time monitoring, ensuring that construction stays on schedule and within budget.
- Predictive maintenance and Plant Performance: Once a plant is operational, AI continues to add value. Predictive maintenance systems can detect issues early, reducing downtime and improving reliability. Digital twins provide continuous insights into plant performance, helping operators maintain optimal efficiency.
The post AI Solutions from Microsoft and NVIDIA Power DOE’s Nuclear Energy Genesis Mission appeared first on Carbon Credits.
Carbon Footprint
$10 Trillion in Carbon Cost? How U.S. Emissions Hit the Global Economy
Climate change is not only a physical threat, but it also affects the world’s economy. A major new study published in the journal Nature on March 25, 2026, puts a clear number on this impact. It finds that carbon dioxide (CO₂) emissions from the United States caused about $10.2 trillion in total economic damage worldwide between 1990 and 2020. This makes the U.S. the largest single contributor to climate-related economic loss over that period.
The study shows that emissions slow economic growth in many countries. Rising temperatures cut productivity, lower output, and hurt long-term economic performance around the globe.
Marshall Burke, the lead author of the study, remarked:
“If you warm people up a little bit, we see very clear historical evidence, you grow a little bit less quickly. If you accumulate those effects over 30 years, you just get a really large change by the end of 30 years. It’s like death by a thousand cuts. And you have people being harmed who did not cause the problem, and that feels just fundamentally unfair.”
The researchers focused on carbon dioxide, the most common greenhouse gas. They used data on how temperature affects economic activity and then linked that to how much CO₂ different countries have emitted since 1990. This method links climate science to real economic results, including slower growth, lower productivity, and smaller national outputs.
Counting the Dollars: $10 Trillion in U.S.-Linked Damage
One of the study’s central findings is striking. From 1990 to 2020, U.S. emissions likely caused around $10.2 trillion in global economic damage. This means that warming linked to U.S. emissions has reduced economic production across many countries. The study links these impacts to heat’s long-term effects on labor, agriculture, and overall economic growth.
The damage is not confined to other nations. Roughly 30% of that $10.2 trillion figure is estimated to have occurred within the United States itself. In other words, U.S. emissions have slowed economic growth at home as well as abroad. The remaining impacts are spread across the global economy.
The researchers found that U.S. emissions led to about $500 billion in damage in India and around $330 billion in Brazil during that time. These figures show how carbon released in one area can affect economies far away.

A New Framework for Loss and Damage
The Nature study introduces a new framework for assessing what scientists call “loss and damage.” This term refers to harms that cannot be prevented by reducing emissions or avoided through adaptation alone.
The study uses economic data and climate models. It tracks how temperature changes over the years impact economic output.
- To put the numbers into context: one tonne of CO₂ emitted in 1990 is estimated to have caused about $180 in global economic damages by 2020.
But that same tonne is projected to cause an additional $1,840 of cumulative damage by 2100, as warming continues and its effects compound over time. This highlights that past emissions still contribute to future economic harm.
The researchers highlight that these estimates focus on economic output, like goods and services. They do not account for all types of climate damage. They do not include costs from loss of life, health impacts, biodiversity collapse, cultural heritage losses, or many kinds of infrastructure damage. These excluded impacts could raise the true total cost of climate change even further.
The Social Cost of Carbon Revisited
This study is part of a broader scientific effort to understand the economic impacts of climate change. Climate and economic models show that rising temperatures are already slowing economic growth. If emissions stay high, this slowdown will get worse in the future.
Analyses by major international institutions and research groups project that climate change could reduce global GDP by a significant percentage by mid-century. This is compared to scenarios with strong mitigation, though exact figures vary by method.
The concept of estimating a “social cost of carbon” (SCC) — a monetary estimate of economic damage per tonne of CO₂ — has been used in policy analysis for years. It helps governments weigh trade-offs in climate policy. For example, they can decide how much to invest in emissions cuts versus adaptation.

However, traditional SCC estimates have been debated. They depend on assumptions about future growth, discount rates, and climate sensitivity. The Nature study advances this approach by tying economic outcomes directly to observed climate impacts.
Economists and climate scientists agree that warming impacts several areas. These include agricultural yields, labor productivity, energy demand, and health outcomes. These effects reduce economic output and increase costs for businesses and governments. The latest research makes these links more explicit by assigning dollar values to the historical impacts of emissions.
Equity and Global Responsibility
The research’s results also highlight important equity questions. Low-income countries often face bigger economic impacts compared to their emissions histories.
For example, nations with warmer climates and more fragile infrastructure may experience greater output losses due to temperature increases. These effects grow over time and can worsen existing development challenges.
At the same time, richer countries with higher historical emissions may take a larger share of responsibility for damage. The Nature study shows it is possible to calculate responsibility in monetary terms. However, turning those numbers into legal or financial obligations is still complex.
Tail Risks and Future Costs
The researchers also point toward the future. It finds that future damages from past emissions are much larger than the losses already accrued.
Since CO₂ remains in the atmosphere for centuries, its warming effects — and the economic damages linked to them — will persist well beyond 2020. This “tail risk” means that the total cost of historical emissions could rise sharply over the rest of this century.
Climate risk is increasingly integrated into economic planning and finance. Governments, businesses, and international institutions are incorporating climate scenarios into investment decisions and risk models.
This includes assessing how rising temperatures may affect infrastructure costs, insurance markets, supply chains, and national budgets. Without strong mitigation and adaptation measures, these economic pressures are expected to grow.
A Shared Reality, Quantified
The Nature study offers a clear and data-based way to think about the economic harms of climate change. Emissions from the United States since 1990 have caused over $10 trillion in global economic damage. This includes harm in the U.S., India, and Brazil.
These findings do not assign legal liability. However, they provide a meaningful picture of how climate change affects the global economy in terms of the social costs of carbon. They show that the costs of climate impacts are measurable and significant.
As the world continues to adapt and respond to climate change, understanding these economic links will be crucial for policymakers, businesses, and communities.
The post $10 Trillion in Carbon Cost? How U.S. Emissions Hit the Global Economy appeared first on Carbon Credits.
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