Artificial intelligence, while generating powerful tools for analysis, is only the beginning of a more ambitious phase making AI systems more accurate, less biased, and effective prediction tools. Gathering more and more raw data does not create value. One cannot simply push a button and have valuable output generated. Data needs to be collected, processed, stored, managed, analyzed, and visualized – only then can we begin to interpret the results. Each step is challenging, and every step in this cycle requires massive amounts of work and value-added tools. It’s not just the software and hardware artifacts we produce that will be physically present everywhere and touch our lives all the time, it will be the computational concepts we use to approach and solve problems, manage our daily lives, and communicate and interact with other people. It will be a reality when it is so integral to our lives it disappears. The problems and solutions we address are limited only by our own curiosity and creativity.
Every industry consolidates to a handful of centralized competitors. That will never change regardless of current dreams of decentralization from Web 3.0. Modern computing is a constant struggle between decentralization and centralization. Centralization wins eventually, and it will again. These dynamics, combined with the latest crash that may cool investors’ appetite for all things crypto, suggest that Web 3.0 will not dislodge Web 2.0. Instead, the future may belong to a mix of the two, with Web 3.0 occupying certain niches. Whether or not people keep splurging on NFTs, such tokens make a lot of sense in the metaverse, where they could be used to track ownership of digital objects and move them from one virtual world to another. Web 3.0 may also play a role in the creator economy, assuring intellectual property ownership. NFTs make it easier for creators of online content to make money. In this limited way, at least, even the masters of Web 2.0 see the writing on the wall: on January 20th both Meta and Twitter integrated NFTs into their platforms.
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.
Fundamental drivers for pricing valuations in public markets have changed. Now, there is a new interaction among factors unseen just recently. Advanced technologies such as artificial intelligence have had a profound impact on the tools available and analysis presented to even the most amateurish investor. Social media, such as Reddit, Twitter, and other platforms, have allowed access to information and influence from media “stars” driving demand in an almost herd-like mentality driving up prices, and causing extreme volatility. Finally, technology has enabled a trading floor to be in everyone’s pocket. That same trading floor allows access to any information on anything from anywhere, and communication with anyone or, via social media, receive communication and information (regardless of how dubious) from anyone about any security or investment strategy.
These factors will cause unprecedented market volatility, along with extreme price movements for well-known (or perhaps more accurately, well-publicized) companies and their securities. While the supply of securities remains somewhat constant, demand for those securities is increasing (sometimes exponentially) because many more investors are now chasing those same securities.
The price of anything cannot escape supply and demand dynamics. Recent IPO activity is an attempt to meet growing demand (and raise capital at attractive prices). The new supply from IPO’s, secondary stock issuances, and most recently and monumentally, SPAC offerings, still do not provide enough supply to quench a growing and overwhelming demand. The valuations, especially those given to the SPAC’s, are entering stratospheric levels that could hardly be justified under normal market conditions. Successful investors are the ones who understand adding return without corresponding risk is the most critical component of successful investing, especially given the new equation for valuation:
Economics + Advanced Technologies + Social Media = Price
These three components are now inexorably linked and constitute an influential role in determining valuation from now on.
The More Things Change…
The pandemic has challenged many preconceived notions about the economy, markets, and public policy – and has impacted the way we live. But the inescapable truth remains unchanged:
There is no magic answer. No solution other than superior skill enables an investor to earn a high return safely and dependably. That is even more true in today’s low-interest rate, low return Tower of Babel world.
“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…
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…
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.
Medical Intelligence is a new discipline, converging human and artificial intelligence. Artificial intelligence will not replace human intelligence, especially in medicine. Diagnosis and treatment will remain a human endeavor. But AI will be an indispensable tool helping human intelligence effectively deliver better quality healthcare.
Instead of “internet time” we now have “pandemic time.” The need for advanced systems to keep society functioning, manufacturing moving, and give consumers some sense of safety is immediate. Driving innovations – whether those innovations are in health care, technology or other areas of production and manufacturing – is essential to not only offset the…
Over the last decade, the dramatic rise of deep learning has led to stunning transformations in dozens of industries. It has powered our pursuit of self-driving cars, fundamentally changed the way we interact with our devices, and reinvented our approach to cybersecurity.
In health care, however, despite many studies showing its promise for detecting and diagnosing diseases, progress in using deep learning to help real patients has been agonizingly slow. All this could change with distributed learning.
