This book explores the next decade’s more frequent and intense economic, geopolitical, fiscal, and market volatility, technological innovation, disruption, and hype.
Long-term opportunity exists, and this book uses a 10-year horizon as a surrogate for a long-term perspective. Some of the world’s most important industries are being disrupted, especially finance via digital assets and Blockchain-based businesses, life sciences via gene editing, DNA sequencing, and CRISPR, and communications via advanced wireless data networks, software technologies including artificial intelligence, and new interactive platforms such as the Metaverse.
The collapse of FTX shows how easily crypto is manipulated and the “crypto ecosystem” is fundamentally driven by centralized players and not any true form of decentralized or digital assets. Cryptocurrency is a sideshow and benefits no one other than speculators hoping for a greater fool. However, the combination of digital asset regulation, central-bank cooperation, and distributed assets via decentralized platforms still represents one of the most intriguing opportunities, and, with the potential disruption of global finance, one of the most exciting investment areas today.
A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions. This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. This approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing. The current state of artificial intelligence shows the shortcomings of big data and trial-and-error approaches. A new AI vision can be a more effective solution. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications.
The onslaught of market-making bad news seems almost a daily event. A gloomy picture of slowing economic growth, elevated inflation, and confusing fiscal and monetary policy has added a lethal mixture to the market’s performance. Fiscal stimulus is sidelined, and monetary policy is constricting economic growth and entrepreneurial innovation. It makes for a gloomy outlook and an even more depressing long-term perspective. The next 10 years look more like a lost decade. High-growth company valuations have been significantly discounted, and over time as discount rates drop, their valuations are likely to increase substantially. Higher-yielding fixed income securities will be a standout performer as interest rates are reduced, the higher-yielding BDCs, REITs, leveraged loan securities, and high cash flow instruments, along with high-dividend equities, will prove extremely attractive and are currently available at bargain prices. Providers of value and users of value will be the winners for the next decade. Those generating real cash flow and disruptive innovation will define the next decade.
Innovation is unpredictable and astonishing – it can address the world’s most critical issues today, from hunger to efficient energy, to devastating diseases. It is also too often misguided, inefficient, and meaningless – creating nothing more than distractions and wastes of time cloaked in an image of technological wonder. Misguided and manipulative business plans sit side-by-side with the groundbreaking disruptions that may address society’s greatest problems.
The market is consensus thinking. Performing above average means being different. Simply being different doesn’t define success. Success means understanding what it takes to not only think differently but understand when consensus thinking is wrong and executing and implementing those choices effectively. Doing better (generating superior returns with less overall risk) is difficult. Understanding “what’s really going on” is not a simple formula. It requires different, deeper, and better thinking. Depart from the investment crowd, focus on the factors that are necessary and, in combination, sufficient to make a difference, sustain performance and manage risk. It’s not easy or obvious, but it is superior.
It has taken over 30 years for the overnight sensation of the Metaverse, but now hype, money, and large technology companies are charging in. Most obvious and conspicuous is Facebook’s maneuver to change its name to Meta Platforms and commit $10 billion. Microsoft is making a $70 billion acquisition of Activision to mostly focus on Metaverse platform development. Following on top of these two elephants is tens of billions of dollars of venture capital. The opportunity is considered comparable to the original iPhone. None of the iPhone’s component services – mobile phone, computer, camera, and operating system, were new or distinct. The iPhone revolution is the convergence into a single device (or platform) and, most importantly, the entrepreneurial spark that lit millions of application developers to create value from the iPhone platform. The Metaverse can best be thought of as the intersection of technologies and users. It combines virtual and augmented worlds, virtual assets, digital assets, and gaming into a single platform. However, there doesn’t seem to be anything too disruptive about the Metaverse or Web 3.0. It’s reasonable to be skeptical, and while there is an economic opportunity within the specific creation of Metaverse assets, the real opportunity remains with the infrastructure, intermediaries, picks, shovels, and “the arms dealers” of global digital war.
Let the data tell the story. Remove human bias. Intuitive investment ideas may seem compelling, but more often, these ideas are time-consuming, inefficient, and inferior.
Diverse thinking, innovative approaches, and a willingness to be wrong and start over typically bring superior results.
Trust the model. Data, discipline, and rigor win more often.
A new vision for artificial intelligence is using smaller more relevant data sets for dynamic learning generating more effective outcomes and better predictions.
This model uses cognitive architecture, learns, transfers learning, and retains knowledge – enabling more valuable and compelling artificial intelligence applications. This approach is more closely related to the brain’s actual structures and much more effective than “neural networks,” which is a catchy name but the similarity to the brain’s actual functioning is in name only. Real advancement in artificial intelligence must live in reality, not theoretical marketing.
Cryptocurrency staying power has certainly been challenged these last few weeks. There is been a general market drop (even correction), but crypto has been collapsing in value and, to many, is in a death spiral. Of course, reality is more nuanced, and with more detailed analysis, a broad brush hardly seems appropriate. Certainly, the weakest and, honestly, craziest portions of the crypto world have been exposed to be nothing more than silliness. But some components remain resilient. The market is quite effective at sorting the specifics of an otherwise overgeneralized sector. There is no such thing as “crypto.” There are stable and valuable digital assets, globally exchangeable and disruptive. Others have nothing but fluff. Of course, government should insist on more reliable information, and institutions should guard more effectively against fraud. But, there is wheat among the chaff, and it continues to have the potential to be disruptive, create substantial value, and enhance global prosperity.
