Uploaded September 2025 | Updated September 2026, 2 weeks ago
Tesla’s role in powering AI isn’t just about cars—it’s about energy, data centers, and the future of inference at scale. In this clip, Matt, Farzad, and Jordan break down why Tesla’s Megapack and Megablock systems could be essential to AI’s growth, how inference and training demand will shift, and what it means for companies like Oracle racing to build cloud capacity.
For the full discussion from Farzad Media, watch here: youtube.com/watch?v=8o2n7R7kTU8
Timestamps
00:00 – Farzad on digital vs. embodied AI (Optimus and beyond)
00:30 – Will energy demand shift from training to inference?
01:22 – Jordan on Tesla’s Dojo decision and inference chips
02:12 – Centralized vs. edge compute (Robotaxi, Optimus at scale)
02:42 – Jordan’s terawatt compute breakdown (training vs. inference split)
03:20 – Why inference needs explode but training still grows massively
03:50 – Matt on future AI training complexity (video + robotics vs. text)
04:54 – Training as ~10% of compute but pie expanding massively
05:26 – Localized inference data centers and Megapack demand
06:08 – The rise of agentic AI and regional inference hubs
06:40 – Oracle’s blowout cloud guidance and growth trajectory
07:04 – Oracle as an AI cloud provider and data center partner
07:28 – Why AI compute demand = massive second-order energy demand
Check out rebellionaire.com for more information
Rebellionaire is a brand of Halter Ferguson Financial. hffinancial.com/disclaimer
As of September 17th, 2025, clients and employees of our firm Halter Ferguson Financial own Tesla stock and/or options and thereby stand to materially benefit from a rise in the share price. Past performance is no assurance of future results. Halter Ferguson Financial, Inc. (“Halter Ferguson Financial”) is a registered investment adviser with its principal place of business in the State of Indiana. A complete list of all recommendations will be provided if requested for the preceding period of not less than one year. It should not be assumed that recommendations made in the future will be profitable or will equal the performance of the securities in this list. Opinions expressed are those of Halter Ferguson Financial, Inc. and are subject to change, not guaranteed and should not be considered recommendations to buy or sell any security.
Halter Ferguson Financial is registered as an investment advisor with the SEC and only transacts business in states where it is properly registered, or is excluded or exempted from registration requirements. Registration as an investment advisor does not constitute an endorsement of the firm by the Commission nor does it indicate that the advisor has attained a particular level of skill or ability.
Information presented is believed to be factual and up-to-date, but we do not guarantee its accuracy and it should not be regarded as a complete analysis of the subjects discussed. All expressions of opinion reflect the judgment of the author/presenter as of the date of publication and are subject to change and do not constitute personalized investment advice. A professional advisor should be consulted before implementing any of the strategies presented. No content should be construed as an offer to buy or sell, or a solicitation of any offer to buy or sell any securities mentioned herein.
Halter Ferguson Financial does not represent, warranty, or imply that the services or methods of analysis employed by the Firm can or will predict future results, successfully identify market tops or bottoms, or insulate clients from losses due to market corrections or declines.
Investments are subject to market risks and potential loss of principal invested, and all investment strategies likewise have the potential for profit or loss. Past performance is no guarantee of future results. Different types of investments involve varying degrees of risk, and there can be no assurance that any specific investment will either be suitable or profitable for a client's portfolio. There are also no assurances that any portfolio will match or outperform any particular benchmark.
Tesla’s role in powering AI isn’t just about cars—it’s about energy, data centers, and the future of inference at scale. In this clip, Matt, Farzad, and Jordan break down why Tesla’s Megapack and Megablock systems could be essential to AI’s growth, how inference and training demand will shift, and what it means for companies like Oracle racing to build cloud capacity.
For the full discussion from Farzad Media, watch here: youtube.com/watch?v=8o2n7R7kTU8
Timestamps
00:00 – Farzad on digital vs. embodied AI (Optimus and beyond)
00:30 – Will energy demand shift from training to inference?
01:22 – Jordan on Tesla’s Dojo decision and inference chips
02:12 – Centralized vs. edge compute (Robotaxi, Optimus at scale)
02:42 – Jordan’s terawatt compute breakdown (training vs. inference split)
03:20 – Why inference needs explode but training still grows massively
03:50 – Matt on future AI training complexity (video + robotics vs. text)
04:54 – Training as ~10% of compute but pie expanding massively
05:26 – Localized inference data centers and Megapack demand
06:08 – The rise of agentic AI and regional inference hubs
06:40 – Oracle’s blowout cloud guidance and growth trajectory
07:04 – Oracle as an AI cloud provider and data center partner
07:28 – Why AI compute demand = massive second-order energy demand
Check out rebellionaire.com for more information
Rebellionaire is a brand of Halter Ferguson Financial. hffinancial.com/disclaimer
As of September 17th, 2025, clients and employees of our firm Halter Ferguson Financial own Tesla stock and/or options and thereby stand to materially benefit from a rise in the share price. Past performance is no assurance of future results. Halter Ferguson Financial, Inc. (“Halter Ferguson Financial”) is a registered investment adviser with its principal place of business in the State of Indiana. A complete list of all recommendations will be provided if requested for the preceding period of not less than one year. It should not be assumed that recommendations made in the future will be profitable or will equal the performance of the securities in this list. Opinions expressed are those of Halter Ferguson Financial, Inc. and are subject to change, not guaranteed and should not be considered recommendations to buy or sell any security.
Halter Ferguson Financial is registered as an investment advisor with the SEC and only transacts business in states where it is properly registered, or is excluded or exempted from registration requirements. Registration as an investment advisor does not constitute an endorsement of the firm by the Commission nor does it indicate that the advisor has attained a particular level of skill or ability.
Information presented is believed to be factual and up-to-date, but we do not guarantee its accuracy and it should not be regarded as a complete analysis of the subjects discussed. All expressions of opinion reflect the judgment of the author/presenter as of the date of publication and are subject to change and do not constitute personalized investment advice. A professional advisor should be consulted before implementing any of the strategies presented. No content should be construed as an offer to buy or sell, or a solicitation of any offer to buy or sell any securities mentioned herein.
Halter Ferguson Financial does not represent, warranty, or imply that the services or methods of analysis employed by the Firm can or will predict future results, successfully identify market tops or bottoms, or insulate clients from losses due to market corrections or declines.
Investments are subject to market risks and potential loss of principal invested, and all investment strategies likewise have the potential for profit or loss. Past performance is no guarantee of future results. Different types of investments involve varying degrees of risk, and there can be no assurance that any specific investment will either be suitable or profitable for a client's portfolio. There are also no assurances that any portfolio will match or outperform any particular benchmark.
