An article by our good friend Dr. Kathrine Johnson (KJ) was the ultimate review of the realities of today’s AI Server Farm issues. This seminal review offers an unvarnished assessment of the opportunities and challenges … so please read it here in its entirety.
Conundrums are basically intellectual puzzles with seemingly endless points of view and therefore no clear solution. On one level, they can inform us about how complex something is … but they also disable decisions because you can’t see a clear path to success. Let’s just face it … large corporations generally bog down in these situations.
The idea that nuclear power will somehow power these data centers is ludicrous at this time. The time scale for approvals and building this type of generation is inconsistent with the decision timelines of those wanting to build data centers. That will always be true, so get over it. Move on … and stop thinking about wind and batteries please.
Those of you who want solar and batteries better look at the real estate needed to put up solar. If you read KJ’s review you will see land is already contentious even for the server farm alone.
And, if you want to build any power plant, you must seek environmental permits. They often take years and are far from certain because of many of the concerns raised by KJ in her article. This is one of the biggest risks utilities have had when they need more units.
Therefore, the most likely way you will source your power requirements is by contracting with the regional electric utilities. These are large loads, so if data centers are being located in Georgia, the advantage would be that any utility in the state could supply the power, using the electric grid for transport to the site. But for most states, the grid will not support these large loads in rural areas.
The water-use challenge of cooling the power plant then moves to the serving utility, as do the environmental impacts. But wait a minute … weren’t we worried about the carbon footprint and the consequential effects on our climate? Where is that in this mix?
And you have the hype-cycle risk that most of this is just not real … what if the miracle being claimed is simply a mirage … another shiny object … and the market implodes? I am far from alone in this concern, and if I am right, the financial outfall will be tragic … trillions of dollars wasted on another superficially appealing notion.
If this is just another boom-bust cycle, the winners will be analogous to those who sold blue jeans, shovels, and pickaxes to those attempting to mine the market, just like during the California gold rush. These obviously include the AI modelling software companies who are in a frenetic race to outpromise each other and probably faking it till they make it … if they ever do. Does Theranos come to mind?
And let’s take a closer look at one of the foundational assumptions with all of this as KJ’s article points out: the business model relies on these models helping with inference: a conclusion reached on the basis of evidence and reasoning. So, the key here is whether the underlying data is adequately curated … does that remind you of my prior blog?
Well then, if we don’t have curated data, how can any of this produce sufficient economic value? Plus, if we offer inferences from this kind of software, what bad consequences could result? We can already see some of these risks with chatbots using AI:
It is a conundrum. I find the lack of humility around the consequences troubling.




