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Super-Spiked Videopods (EP38): Pragmatizing The Energy Narrative 

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We focus on some of the big macro themes that have emerged from earnings season across the broader stock market, with a focus on electric vehicle (EV) adoption S-curves, artificial intelligence (AI), ongoing US energy sector M&A, and the role of Canadian energy companies looking forward. Trends with both EVs and AI add to our confidence that demand for all sources of energy, including oil and natural gas, will continue to grow for the foreseeable future. We do not believe anyone can know today which decade let alone year that oil or natural gas will definitively peak.
We would encourage readers to review Ford CEO Jim Farley’s introductory remarks on Ford’s 4Q2023 earnings call. Mr. Farley recognized the challenges Ford is facing in ramping EV sales; and while the company remains committed to longer-term EV growth, it is clearly going to be at a slower pace than what was envisioned even one year ago. At the same time, Mr. Farley noted an uptick in hybrid vehicle sales, which, ironically, may be the technology most appropriate for US consumers and could eventually, and finally, lead to marked improvements in fuel economy.
It has long been our view that it is inappropriate to use a uniform rapid EV adoption “s-curve” in all regions; we do not believe the examples of Norway (driven by climate policy) or China (driven by geopolitical security) will be representative of the United States, India, or many other developing countries. As it relates to traditional energy, we believe the belief that rapid global EV adoption will lead to oil demand rolling over within the next 5-10 years is not anywhere near on track to occur, especially when one considers the massive untapped energy demand of the other 7 billion on Earth that are not amongst The Lucky 1 Billion of us.
We recognize that “AI” has become a major buzzword, and with that likely comes some hype and over-enthusiasm about the subject. That said, we are believers that the next major technology revolution is here. The relevance to energy is that implied power demand from AI technology use, datacenters, and related infrastructure will be massive. After about 20 years of broadly flat US power demand, low-to-mid-single digit load growth appears to have returned (even higher in some regions). Load growth and growing penetration of intermittent resources like solar and wind are an unhealthy mix-a point that does not appear to be lost on the giant technology companies.
In our view, it may well be AI that proves to be our salvation when it comes to what we have called “a messy energy transition era.” The general freak-out by many Big Tech firms over how to source power while also meeting sustainability goals, we believe could lead to a healthier narrative around energy overall. Big Tech is going to need “all of the above” energy solutions that can meet growing power demand. Near-zero methane natural gas along with nuclear are going to be important components of our power generation mix along with rising renewables output.
For all Super-Spiked content, follow me at arjunmurti.substack.com or at veriten.com.
Twitter: @ArjunNMurti
DISCLAIMER
My views are my own and not attributable to any current or past affiliation.
CREDITS
Intro & Outro music: Wolf Hoffman on Apple Music: Concerto for 2 Cellos in G Minor, Rv 531: I. Allegro Moderato.
This episode of Super-Spiked Videopods was edited and produced by Veriten Productions.

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8 мар 2024

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Комментарии : 6   
@zjxn06
@zjxn06 3 месяца назад
Excellent commentary, as always. Your point on the application of AI to crunch big data to optimize shale development and recovery was thought provoking. Thank you for sharing your thoughts here for free.
@TamasPletser
@TamasPletser Месяц назад
Excellent speech. As an oil&gas analyst for 20+ years, cannot agree more.
@super-spiked
@super-spiked Месяц назад
thanks so much!
@rickfool1452
@rickfool1452 3 месяца назад
So AI increases oil supply + oil demand increases = steady $ 70-90 oil
@chrisdooley7592
@chrisdooley7592 2 месяца назад
Promo SM