Time to Worry

When Everything is Going Great, It Probably Isn’t.

Things can only get better from here… said the turkey the day before Thanksgiving. It’s challenging to know when it’s too late because things go badly gradually, then suddenly.

It might be time to start worrying about tech-stock valuations. Usually, all it takes is a few overly ebullient stock analysts to set off an alarm. When unreasonableness takes over (remember all those analysts’ reports from March 2000? The NASDAQ could only go up and all those internet funds were going to double again in 2001?). In March 2000, the bellwether for this nonsense was Henry Blodget’s recommendation of Amazon with a target price of $400.00 by March 2001 (at the time Amazon was trading for about $60.00 a share). Instead of being $400.00 in March 2001, Amazon’s price was $5.97 per share.

Long Term Value Means Long Term

Of course, Amazon has created an amazing business model and is fundamentally rewriting technology services and customer logistics. Trading at almost 100 times earnings the market believes there is much more growth and profitability to come. Really? Regardless of your perspective about that, Amazon is an example of investments that are either “don’t bother it’s ridiculous” or “never sell it’s ridiculous.”

The market may stay permanently irrational about companies like Amazon, or Amazon may catch up to the market’s irrationality. What should an investor do? The answer is simple – don’t play. By that I mean you either buy the stock and ride the tiger (which means you can never get off – or sell) or stay out of the jungle completely – don’t ever buy. Half measures rarely have good outcomes.

Amazon is exemplary. This tiger has rallied substantially since those woeful days in March 2001 to close above $3,200 per share in February 2021. So, even if you listened to the absurdity belched out in March 2000, and on paper, had substantial losses from your Amazon investment for several years, if you held on, you are brilliant and rich (more like lucky; but it’s smarter to be lucky than lucky to be smart). Don’t listen to the analysts and don’t get off.

A new industrial revolution

Businesses that combine closed-loop, arms dealer and monopoly characteristics represent something fundamental that is shifting in the global economy. They represent automation that is pervasive, smart, and is a layer that sits across the entire economy. Data processing and prediction build these business models. They permeate all services, including supply chains, logistics, mobility, and consumer offerings. Pervasive and innovative, they represent opportunities for increasing investment returns. Incumbents enhance their position, generate increasing value, create challenging barriers, enable more innovation to solidify their position and will sustain their value because of this new competitive dynamic. Innovation is always a threat, and value can be created from a new entrant, but the bar is increasingly higher for both the level of disruption and quality of innovation to an existing or even new market.

To be sure, new opportunities will be created as new technology develops. An example is the wireless data and smart phone market. Essentially, 4G mobile technology enabled the substantial value creation at Facebook, Netflix, Uber and AirBnB. These companies could build their services on top of this technological platform and create not only a new competitive business, but a new market where they could be the dominant player. As 5G develops and we see unimagined high-speed for data, entertainment, communication, and other services, we will have new businesses and opportunities created on this platform – only so much can be imagined today, others which are yet to come. But there will be real-time connection with customers enabling new and innovative products and services, artificial intelligence permeating software and communication enhancing quality and innovation further, enhanced gaming (perhaps even to a professional level), and virtual reality and augmented reality perhaps finally becoming the market opportunity that has been imagined for many years. This list is far from exhaustive, and without doubt, there will be valuable companies created whose business models we can’t quite imagine today.

AI Does Not Live Up to the Hype

The history of AI shows that attempts to build human understanding into computers rarely work. Instead, most of the field’s progress has come from the combination of ever-increasing computer power and exponential growth in available data. Essentially, the ability to bring ever more brute computational force to bear on a problem-focused on larger data sets

Technology and Turmoil

Productivity, expansion, and entrepreneurship were enabled through the adoption of new technology. Undeniably, the net economic benefit was substantial. But lives were disrupted, jobs were lost, and what would be seen with a historical perspective as an obvious beneficial choice, was anything but obvious to those so immediately and negatively impacted.

Technological advancements produce net benefits for society. But for every advancement, there is a cost. Leadership and subsequent public policy must address this shortfall. As in the past, the solution has been training and education leading to economic inclusion and prosperous lives.

History has taught us the net benefit of technological advancement, the turmoil it brings, and the solution required.