by Jim Rickards, Daily Reckoning:
Readers know at least two things about artificial intelligence (AI). The first is that an AI frenzy has been driving the stock market higher for the past three years even with occasional drawdowns along the way. The second is that AI is a revolutionary technology that will change the world and potentially eliminate numerous jobs, including jobs requiring training and technical skills.
Both points are correct with numerous caveats. AI has been driving the stock market to record highs, but the market has the look and feel of a super-bubble. The crash could come anytime and bring the market down by 50% or more.
TRUTH LIVES on at https://sgtreport.tv/
That’s not a reason to short the major stock indices today. The bubble can last longer than anyone expects. If you short the indices, you can lose a lot of money being wrong. But it is advisable to lighten up on equity allocations and increase your allocation to cash in order to avoid the worst damage when the crash does come.
On the second point, AI will make some jobs obsolete or easily replaceable. Of course, as with any new technology, it will create new jobs requiring different skills. Teachers will not become obsolete. They’ll shift from teaching the basics of math and reading, which AI does quite well, to teaching critical thinking and reasoning, which computers do poorly or not at all. Changes will be pervasive, but they will still be changes and not chaos.
The Limitations
Artificial Intelligence is a powerful force, but there’s much less there than meets the eye. AI may be confronting material constraints in terms of processing power, training sets and electricity generation. Semiconductor chips keep getting faster and new ones are on the way. But these chips consume enormous amounts of energy, especially when installed in huge arrays in new AI data centers. Advocates are turning to nuclear power plants, including small modular reactors to supply the energy needs of AI. This demand is non-linear, which means that exponentially larger energy sources are needed to make small advances in processing output. AI is fast approaching practical limits on its ability to achieve greater performance.
This near insatiable demand for energy means that the AI race is really an energy race. This could make the U.S. and Russia the two dominant players (sound familiar?) as China depends on Russia for energy and Europe depends on the U.S. and Russia. Sanctions on Russian energy exports can actually help Russia in the AI race because natural gas can be stored and used in Russia to support AI and cryptocurrency mining. It’s the law of unintended consequences applied to the short-sighted Europeans and the resource-poor Chinese.
Your Editor touring the HiPerGator AI computer located at the University of Florida in Gainesville, Florida. The HiPerGator is the third-fastest non-government computer in the world. It runs on NVIDIA semiconductors generously donated by an alum who is the co-founder of NVIDIA. I use the HiPerGator in connection with my work for the Florida Institute of National Security, which uses AI to explore kinetic and financial war fighting scenarios. I have built extensive neural networks that will be running on the HiPerGator.
AI Lacks Common Sense
Another limitation on AI, which is not well known, is the Law of Conservation of Information in Search. This law is backed up by rigorous mathematical proofs. What it says is that AI cannot find any new information. It can find things faster and it can make connections that humans might find almost impossible to make. That’s valuable. But AI cannot find anything new. It can only seek out and find information that is already there for the taking. New knowledge comes from humans in the form of creativity, art, writing and original work. Computers cannot perform genuinely creative tasks. That should give humans some comfort that they will never be obsolete.
Read More @ DailyReckoning.com
