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.
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.
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.
Remarkable things can happen. Or not. Can we solve climate change, food shortage, limited healthcare, and other global stresses – all with TikTok videos? 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 alongside the groundbreaking disruptions that may address society’s most significant problems. We don’t have time. Even though there is no clear argument for resources going to a new video-sharing platform or immersive game, that is beside the point. Technology delivers something, nothing else can. It is the only way to find solutions to otherwise intractable and potentially devastating global crises. The freedom to pursue solutions is the essential first step. Letting the best people do their best is still the best policy. It will also generate the best outcome.
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.
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. Our 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. This video discusses our perspective on the current state of artificial intelligence, the shortcomings of big data and trial and error approaches, and the most effective solution and its prospects. Smaller data sets, more relevant information, dynamic data, and algorithms will lead to more appropriate outcomes, better tools, and more effective applications, especially within Arcadia’s algorithmic trading.
Arcadia Capital announces its new digital token in partnership with Red Matter.
“Equity tokens issued on a blockchain platform are potentially the most disruptive threat to existing equity markets.” (World Economic Forum)
New digital platforms created by decentralized finance companies, such as Red Matter, integrate securities and other digital assets comprehensively. The platforms enable asset managers like Arcadia to issue, trade, settle, and provide custody services for digital assets, usually consisting of digitally native equity tokens (ICOs). This innovation is exemplified by Arcadia Digital Token Arcadia’s Digital Token.
Digital asset platforms, such as Red Matter, exist in parallel to existing market infrastructure and securities markets. Arcadia’s offering is an alternative digitized version of a typical standard asset management investment in Arcadia’s investment fund. Arcadia Capital is taking advantage of this transformative technology to present an opportunity to any qualified investor anywhere in the world to invest in our digital token.
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.
Transformation, or euphemistically, “disruption,” creates great opportunities to capture newly created wealth. But, as industries are transforming and strategic disruption is occurring, quite a lot of absurdity and certainly enough terror are associated with some of these extraordinary opportunities to require much greater analysis and understanding.
There are extraordinary risks associated with anything disruptive and transformational. The first disruptor isn’t always the one who creates the most value or is even a sustainable competitive entity.
Innovation does not mean competitive sustainability. Digital platforms, ranging from the internet to digital assets and cryptocurrency are transforming industries globally. But, along with that comes a lot of hyperbole and typically that is followed by very little substance. Great companies use technological disruption, innovation, and transformation to establish themselves and thrive. But they rarely last. Every company, even the most valuable companies such as Apple, Apple, Amazon, Facebook, Netflix, etc. must dynamically transform to stay competitive and valuable.
Transformations are certain. New entities will become very valuable, legacy companies will diminish, and a handful will transform and thrive.
Transformation and sustainability create and capture great wealth, but are far more challenging to identify, and even more challenging to sustain.
While messenger RNA (mRNA) has been catching recent headlines thanks to its ability to fight Covid, the combination of a global pandemic and the miraculous mRNA vaccine development in less than one year (when typical timelines approach 10 years) has made mRNA life science’s overnight sensation even though the underlying scientific knowledge is based on discoveries from over 20 years ago. Still, mRNA has the promise to disrupt life sciences and drug development and create enormous economic value.
There are fantastic fortunes to be made in mRNA technology. Moderna and BioNTech have created over $100 billion of value collectively, as of February 2022. That kind of value creation will not be ignored by a combination of firms within an industry with hundreds of billions to invest. There will be an incredible future of development, capital availability, and industry focus until all potential options are exhausted. But, mRNA has a fantastic future, even if it ultimately lives only in labs and R&D centers spread around the globe. It will become an area of focus for every major pharmaceutical company and most biotechs in some form from now on.