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Cory’s Chart Corner
Sounds like he's saying big FAT sustainable dividends lie near the bottom. Yummy!
Samantha LaDuc @SamanthaLaDucPaul Tudor Jones in an Interview with Patrick Oshaughnessy sums up and connects the valuation pieces of the overall market well:
“We’re 252% of stock market cap to GDP. In 1929 we were 65%. In 1987 we got to ~85-90%. In 2000, 170%.
If you think about the periodicity of_________________________
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Danielle on CBC Weekend Business Panel
Environmental costs of the AI spending frenzy
Amid all the talk about the economic, stock and credit market risks that have been magnified by the AI spending frenzy, very few mention the unsustainable environmental costs. This discussion offers a taste of the implications for all of us.
Since a famous case against a California utility, the name Erin Brockovich has become synonymous with a fighter taking on big polluters. Earlier this year, Brockovich began receiving e-mails from people worried about the construction of A.I. data centers, which is happening at a frenetic rate all over the country. People expressed concerns about the loss of farmland and natural areas; disruptions to the water table; deleterious noise; and substantial usage of electricity and water, leading to rising utility bills. She speaks with David Remnick about her to document data-center construction and environmental complaints. “In my thirty years,” she tells Remnick, “I’ve never really seen the people show up like they are at a very local level.”
Here is a link to Brockovich AI Data Center Reporting website and below is the the map showing community complaints to date about AI data centers.
What happens to life Insurance and pensions if the AI Bubble bursts?
Different cycle, similar Enron-esque financial tricks and behaviours have compounded financial and contagion risks. The segment below connects some important dots.
AI infrastructure is being financed by some of the world’s most conservative pools of capital, including life insurance companies and pension funds. In this video, I examine the risks of AI data center debt, rapidly depreciating GPUs, and whether this could create a financial crisis reminiscent of the 2008 “Big Short.” Here is a direct video link.

