In his preamble to “The Theory of Relativity,” Einstein implored his reader to, “set aside your proud certainty” because he was about to present something quite revolutionary, iconoclastic, and, as he discovered for many years after publication, challenging to be broadly accepted. Of course, his insights would be vindicated, and would soon be considered one of the leading minds of the 20th century, and perhaps one of the great minds in scientific history. Einstein knew things that everybody else was ignorant of and was ignorant of things that everybody else knew. That was probably the key to his great thinking – he assumed no knowledge and didn’t confuse himself with the trivial or unimportant. Always explore, race to keep up, clear the field, and let other vibrant minds pass. It is the spark of human creation, analysis, and understanding that gives us a glimpse of nature’s fundamental beauty. We only touch a small fraction, and our hardest work and most diligent thinking expose a little bit more – and that is one of humankind’s most worthwhile pursuits. Set aside proud certainty; be indifferent to your failings and the cacophony of critics. See, question, verify, and question again.
Discovery, innovation, and practical application are never a straight line and, the best analogy is “the broken road.” Our greatest discoveries and advancements have confusing, uneven, and broken pathways that often lead somewhere astonishing – even though at the outset the initial steps could never envision this as a final destination. Artificial intelligence is the embodiment of this concept. A powerful tool that can lead anywhere given the imagination and unlimited creativity of its users. There may be nowhere more impactful, generating therapies for unmet medical needs in record time, than artificial intelligence’s ability to mimic evolution in minutes. The real outcomes are still unpredictable, but the potential is unfathomable. AI languages that produce pictures seem to be initially relegated toward a combination of Tik-Tok influencers, outraged artists, and those with limited imaginations and creative skills. But now, AI-generated pictures can use text to direct specific protein designs with properties of shape, size, and/or function that make it possible for these new proteins to perform specific tasks on demand. This breakthrough may lead to more efficient and effective drug development and, the discovery in minutes of what evolution would otherwise have taken millions of years to develop.
Volatile stock and bond markets are not going away anytime soon, and investment strategies focused on discipline, market-tested algorithms, and the patience to withstand near-term turbulence will continue to deliver better results. As US stocks have dropped about 25% and US long-term treasuries dropped nearly 30%, specific strategies that combine futures, derivatives, and other securities along with market-neutral equity trading have produced superior returns. This impressive overall performance can be expected to profit from market movements and even market shocks that, while specifically unpredictable, will be inevitable from now on. In the face of dismal predictability and lack of confidence, it is discipline, time-tested algorithms, and a multi-strategy perspective toward broad market sectors that have outperformed and will continue to deliver superior risk-adjusted returns and better overall performance.
Most current innovations have yet to reach their potential, and new innovations are essential to address the most critical issues we confront, whether that is climate change, food scarcity, water shortages, or more effective distribution of innovation itself. Advanced technologies can be many things, but several areas, including artificial intelligence, life sciences, and software innovations provide the most potent platform for new opportunities, disruptive innovation, and value creation. Software will disrupt the most important industries in the world, especially finance, life sciences, and communications. These will be the fundamental innovations that will drive value creation over the course of the next year, and from now on.
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.
Predictions usually end up being nonsense. We simply draw a trajectory from what we know today. But innovation is a discontinuity. Things are unpredictable because innovation does not come from consensus thinking. It comes from small groups and individuals with a spark of entrepreneurship, intelligence, and vision. One of the fundamental tenets of predicting technology is that most forecasters get things spectacularly wrong.