Is the propensity to benchmark the success of AI against games misleading and restricting the technology’s development?
As the societal acceptance of Artificial Intelligence as the next significant shift in technology gains ground, we look at the narrow perspective from which its success is being heralded in the media to illustrate how it outsmarts human equivalents.
The troubling swings of US markets during September illustrated how sensitive they are becoming to political and trade turmoil. It is the latest of several indications over the course of the last twelve months that exhibited high levels of sensitivity and sporadic bursts of volatility. Such an observation begs examination as to why this is occurring and what might this mean for the future, particularly as the bets increase that a change of cycle is imminent.
There remains an enduring attraction with horse racing. Within understanding that behind each of the runners and riders there lies a depth of meticulous preparation to reach optimum condition for race day, there always is the flurry of chance that holds sway, pitting punters against bookies, and underdogs against odds-on favorites. Everyone knows that for all the preparation in the world there is a maelstrom of other conditions that can come into play that inject the thrill into racing.
It is somewhat ironic that the complex objective of better problem-solving through the amassing and analysis of increasingly detailed information has had to be condensed into a two-word catch phrase: ‘Big Data’. Perhaps this is more a reflection on the human inability to cope with information beyond the attention span of a proverbial goldfish, but the metaphor serves well to illustrate the problem with Big Data.
It is easy to understand the development and use of artificial intelligence as a technological progression, the culmination to date of the advances in computing, data processing, and storage. In this context, it follows that it will be applied in the financial sphere as another method or tool in the toolbox, in the pursuit of investment goals. There is however a different question: Is there such a thing as an artificial-intelligence strategy?
The market is not directing cash into passive investment. Many investors may not appreciate that the longest bull market in history has not generated very much extra money for US equities. What is happening is analogous to active-investment cars being swapped for a seat on the passive-investment bus.
The application of artificial technology to investment management suffers from unmet expectations, at least at this time. We think that some voices in the industry sold investors a resort weekend, only to deliver a highway hotel experience. Capital sources consequently have become more circumspect. Is there still momentum to be found in the artificial-intelligence story? Or are investors leaving it behind?