Signal vs Noise

TECH Policy and Unintended Consequences

Technology is facing a substantial crossroads as policy changes with global resonance, such as China’s new crackdown on the country’s big tech companies (such as Ant Financial and Didi Global), the rising resistance to social media behemoths like Facebook, and the need for governments, whether in the United States, Western Europe, or China, to manage and control technological development. Regardless of any good intentions, this will add friction, inefficiency, and underperformance to the most dynamic global industry. The best intentions usually bring disastrous consequences. China cannot escape the law of unintended consequences. Trying to “manage” innovation and creativity takes away the often unplanned and serendipitous breakthroughs that make many significant advancements possible in the first place. From an economic perspective, capital is not going to invest in an uncertain environment where prosperity is managed and, despite great risk where most ventures will fail, the truly successful ones which make up for the losses and encourage capital to keep investing, will be mitigated. The vanguard of capital flight from China is beginning, and it will not ease if this policy and attitude are not revised. This attempt at “fairness and more equal distribution” will do nothing more than keep capital away and stifle any attempt at creativity, technical innovation, and economic advancement. The intention of this policy will yield the opposite outcome as a consequence. The signal means substance. Substance means innovation, creativity, and competitive dynamics that create the most effective innovations, the best solutions, and the most sustainable companies. Central planning, bureaucratic industrial policy, government-led economic management, and dictatorial focus have always failed, and always will. The US should not fall into this trap, regardless of how appealing it may be.

It is only noise.

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.

Beware of Experts

Look at the facts not the opinion about the facts. Anyone holding themselves out as an expert has, a very deep but narrow knowledge base that is rarely universally applicable. Fundamentally, listening to opinions rarely give useful insight. Often, it assumes looking backward but does not apply to the current situation. Global commerce, trade (and trade wars) tariffs, flexible manufacturing, and global markets, along with technological innovation and automation create significant pressures against inflation, regardless of employment levels. These are the set of facts to be considered, not an assumed economic model where few people understand the actual inputs from 50 years ago.Another example looks at revenue projections based on historical business models. But what happens when those business models are changing? We discussed the example of the metamorphosis from Blockbuster to Netflix where a fundamental change in the business model made revenue projections from the historical model meaningless. Then, Netflix had to change their business model again to one of the original production and international expansion – once again obviating existing models for revenue. Facts are what happened. Specific and verifiable. Knowledge is the appropriate combination of facts. Knowledge comes from understanding the facts that matter. Wisdom is the insight that leads to prediction. At its core, any investment strategy predicts the future. To predict the future effectively one needs the wisdom to grasp what will happen. Of course, this cannot be known, and there are many random events that can affect the future (see Anti-fragile and Fooled by Randomness by Naseem Taleb), and uncertainty should always be factored into any investment decisions or predictions.

First Principles – Disruption’s Source

“Assume no knowledge” (Socrates) No successful company can create or sustain its competitive strength without constantly examining its First Principles. It means defining a problem effectively, understanding the actions needed, and then implementing those plans. This requires a unique combination of perspective, talent, drive, and organizational flexibility. It is rare, but when discovered, it is