Discussing Our Tesla Valuation
FYI - For Your Innovation
The Opportunity for Foundation Models
One of the opportunities we're really excited about with an a i is the opportunity for foundation models. These are models used to solve problems in sort of digital, native context. And then there'll be a different use case which is helping robots move through the physical world. So based on our research and big ideas, we think the opportunity forfoundation models could be worth about 25 trillion dollars in terms of enterprise value by 20 30.
Today on the show we discuss our Tesla Valuation model and how we came to our 2026 price target for a Tesla share. You will hear from three analysts on how they constructed the valuation, their methodology, and what they project for 2026. Tasha Keeney shares her thoughts on why electric is the future of autonomous technology, Will Summerlin unpacks the potential opportunities for AI within foundational models, and Sam Korus explains why batteries are the single biggest cost component in Tesla’s vehicles. We also cover the results of the Monte Carlo analysis, with an overview of how it functions, and delve into the five key inputs that are the main drivers of this model. Today’s conversation offers insights into our dynamic valuation model!
Read the full valuation blog here.
“One of the biggest potential markets that we see in AI is autonomous driving and we think that all vehicles in the future, all passenger cars will be electric.” — @TashaARK Key Points from this Episode- Introducing our latest Tesla Valuation model and 2026 price target.
- An overview of our top-down and bottom-up research methodology.
- A breakdown of Wright’s law and why it applies to battery production.
- The potential opportunities for AI within foundational models.
- Our views on why the future of autonomous driving cars is electric.
- How autonomous driving cars are expected to lower the cost of driving.
- The Monte Carlo analysis and the role it’s played in this valuation’s methodology.
- The five key inputs that are the main drivers of this model.
- How to access the valuation model on Github.
- Why the launch year and time of adoption is the single biggest driver for this model.
- Information on how to reach out to us for questions and queries on our model.
DISCLOSURE
The forecasted performance and price estimates herein are subject to revision by ARK and provided solely as a guide to current expectations. There can be no expectation that the specific security will achieve such performance or that there will be a return of capital. Past performance is not indicative of future results.
FORECASTED PERFORMANCE RESULTS ARE HYPOTHETICAL AND HIGHLY SPECULATIVE, AND PRESENT MANY RISKS AND LIMITATIONS. The recipient should not consider these estimated prices alone in making an investment decision. While ARK believes that there is a sound basis for the forecasts presented, no representations are made as to their accuracy, and there can be no assurance that such forecasts or returns will be achieved by the specific security.
The recipient is urged to use extreme caution when considering the forecasted performance, as it is inherently subjective and reflects ARK’s inherent bias toward higher expected returns. Any higher returns should be viewed as a measure of the relative risk of such investments, with higher forecasted performance generally reflecting greater risk. There is no guarantee that any results will align with the forecasted performance, and they might not be predictive. Some or all results may be substantially lower than projected results and, as with any investment, it is possible that you could lose money.
FORECASTED performance results (single security model simulation forecasts) have many inherent limitations. A recipient account might or might not hold this single security, and the account performance will be affected in proportion to its holding size and the amount of price fluctuation over time. No representation is being made that any client account will or is likely to achieve profits or losses tied to a security in the security model forecasts. In fact, there could be significant differences between these forecasted performance results and the actual results realized.
Forecasted performance has not been achieved by the security, and like all modeled, projected or hypothetical performance, it is important to note that there are multiple versions of a model, and ARK has a conflict of interest in that we have an incentive to show you the best performing results. These forecasts rely on models, which calculate hypothetical performance. Several of the limitations of hypothetical performance models include: 1) reliance on a variety of data obtained from sources that are believed to be reliable, but might be incorrect, inaccurate or incomplete and ARK does not guarantee the accuracy or completeness of any information obtained from any third party, 2) potential inclusion of inherent model creation biases, data discrepancies and/or calculation errors that could cause actual results to differ materially from those projected, 3) NO reflection of the impact that material economic and market factors might have had on investment decisions that would have been in actual portfolios being managed at the time and do not involve market risk, and 4) NO guarantee of future investment results. The forecasted results rely on assumptions, forecasts, estimates, modeling, algorithms and other data input by ARK, some of which relies on third-parties, that could be or prove over time to be incorrect, inaccurate or incomplete.
The forecasted returns are based on a variety of criteria and assumptions, which might vary substantially, and involve significant elements of subjective judgment and analysis that reflect our own expectations and biases, which might prove invalid or change without notice. It is possible that other foreseeable events that were not taken into account could occur. The forecasted performance results contained herein represent the application of the simulation models as currently in effect on the date first written above, and there can be no assurance that the models will remain the same in the future or that an application of the current models in the future will produce similar results because the relevant market and economic conditions that prevailed during the performance period will not necessarily occur. The results will not be updated as the models change, or any information upon which they rely changes. There are numerous other factors related to the markets in general or to the public equity security specifically that cannot be fully accounted for in the preparation of forecasted performance results, all of which can adversely affect actual results. For these reasons, forecasted performance results will differ, and could differ significantly from actual results. FORECASTED PERFORMANCE RESULTS ARE SUBJECT TO REVISION AND PRESENTED FOR ILLUSTRATIVE PURPOSES ONLY.
While ARK’s current assessment of the subject company may be positive, please note that it might be necessary for ARK to liquidate or reduce position sizes prior to the company attaining any forecasted valuation pricing due to a variety of conditions including, but not limited to, client specific guidelines, changing market conditions, investor activity, fundamental changes in the company’s business model and competitive landscape, headline risk, and government/regulatory activity. Additionally, ARK does not have investment banking, consulting, or any type of fee-paying relationship with the subject company.
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