Have you seen Limitless?
It's about a struggling writer who is introduced to NZT-48, a nootropic drug that temporarily enhances cognitive function. After taking the drug, he experiences a dramatic increase in his intelligence and abilities. He is able to learn new things at an accelerated rate, solve complex problems, and effortlessly write his novel.
A fictional story, but it raises some interesting questions about the potential of artificial intelligence (AI) to enhance human capabilities.
In the movie, NZT-48 is a fictional drug, but there are real-world AI technologies that have the potential to improve our cognitive abilities. For example, AI can be used to help us learn new things more quickly, solve complex problems more effectively, and make better decisions.
Take the Pill: Not NZT-48 but ChatGPT 4.0
The way to become Limitless is to accelerate synchronicity cycles to enhance your consciousness.
Synchronicity is a phenomenon in which two or more events are causally unrelated but share a similar or meaningful connection. It is often seen as a feedback loop between the inner psychological state of an individual and the external events or experiences they encounter.
AI can mediate synchronicity.
For example, AI can be used to track our thoughts and feelings, which can make us more aware of the synchronicities that occur in our lives. Additionally, AI can be used to create new experiences and possibilities, which can lead to new synchronicities.
By accelerating synchronicity cycles, we can enhance our consciousness and become more aware of the interconnectedness of all things. This can lead to a greater sense of purpose and meaning in our lives, as well as a more profound understanding of ourselves and the world around us.
I am using AI to transcend and so should you.
I believe that AI has the potential to help us to achieve our full potential as human beings. By using AI to accelerate synchronicity cycles, we can enhance our consciousness and become more aware of the interconnectedness of all things.
In doing so, we can use AI to transcend our limitations and create a better future for ourselves and for all of humanity.
Active Early Adoption
The traditional notion of investing in education is being disrupted by the idea of investing in oneself in conjunction with AI.
The trends and data in terms of exponential growth in the economy seem to suggest that this is the way forward.
By actively adopting AI, we can give ourselves a competitive edge in the 21st century economy. We can learn new skills, solve problems more effectively, and make better decisions. We can also use AI to create new opportunities and possibilities for ourselves.
Even in team units, the power of AI can be harnessed for the individual in ways similar to isolation in sports.
In basketball, isolation is a strategy in which a player isolates themselves from their teammates and tries to score against the defense one-on-one. This can be a very effective strategy if the player is skilled enough to beat their defender, but it can also be very risky if the player is not.
In the same way, AI can be used to give individuals a competitive edge in team settings. For example, AI-powered tools can help individuals process and analyze vast amounts of data, identify patterns and insights, and make more informed decisions. AI can also assist individuals in performing complex tasks, such as medical diagnoses or scientific research, with greater accuracy and efficiency.
This breaks bottlenecks like Parkinson's Law.
Parkinson's Law states that "work expands so as to fill the time available for its completion." This means that the amount of time we have to complete a task will determine how much time we actually spend on it.
In the context of AI, Parkinson's Law can be leveraged in two ways:
AI can be used to automate tasks that would otherwise take a long time to complete. This frees up human workers to focus on more creative and strategic tasks.
AI can be used to provide real-time feedback on our work. This can help us to identify areas where we can improve our efficiency and productivity.
As a result, AI can help us to overcome Parkinson's Law and get more done in less time. This is especially appealing to companies that are looking to reduce costs and increase efficiency with trends.
Consider the average size of a company in the United States. In 1960, the average company had 50 employees. By 2020, the average company had only 10 employees. This trend is likely to continue as AI becomes more widely adopted.
Smaller companies are more agile and adaptable than larger companies. They are also more likely to be innovative and to adopt new technologies. This makes them well-positioned to take advantage of the opportunities that AI presents. These will be the billion dollar market cap companies of the future.
Note, Elon Musk recently fired 6,500 employees at Twitter. Musk has said that he wants to make Twitter a smaller, more focused company. He believes that AI can help Twitter to achieve this goal.
Capitalize on Fragmentation
As corporate America awaits the standardization of AI, an arbitrage opportunity could emerge in the coming years.
This is because there are a multitude of different types of AI emerging in the marketplace, each with its own strengths and weaknesses. Some AI is good at pattern recognition, while others are good at natural language processing. Additionally, there are many different ways to implement AI, and each company is using a different approach.
This fragmentation makes it difficult to invest in AI in a way that is likely to generate long-term returns.
However, those who are willing to do their research and invest in the right types of AI for ones self could potentially reap significant rewards.
Below this the main language styles in AI:
Rule-based 20%
Statistical 30%
Neural 50%
The AI market is still in its early stages, but it is growing rapidly. By 2028, the global AI market is expected to be worth $307 billion. This growth creates an opportunity for businesses to capitalize on AI fragmentation.
Stock Market Early Adaption: Passive Guesswork
There are some early investment adopters, who are willing to take on higher levels of risk in the stock market order to stay ahead of emerging trends. In the context of AI, early adopters may seek out companies that are at the forefront of this technology.
A company that comes to mind is NVIDIA.
The manufacturer of graphics processing units (GPUs), serves as an example of an early adopter in the AI field. NVIDIA has made substantial investments in AI over the past few years, positioning the company as a key player in this domain.
Holograms and Graphics
In fact, NVIDIa has positioned itself quite well with major investment fads as seen below:
In 2017, Crypto mining accounted for 40% of NVIDIA's revenue.
In 2020, AI accounted for 25% of NVIDIA's revenue.
In 2023, data centers accounted for 30% of NVIDIA's revenue.
Currently, NVIDIA is heavily engaged in the development and implementation of AI technologies, particularly in the data center sector. Their platforms cater to various markets, including Automotive and Data Centers, where AI plays a crucial role in driving growth.
However, the question arises as to whether NVIDIA can consistently adapt its revenue streams to align with emerging trends. Investors may consider whether they prefer to invest in NVIDIA during the early stages of opportunities or wait for late-stage opportunities that potentially offer greater profitability for S&P 500 constituents.
Industries such as healthcare, finance, manufacturing, and retail are already utilizing AI to enhance their operations. This indicates the widespread adoption of AI is across various sectors.
Hey Siri, what is a a good stock?
I suggests that it may be years before companies that adopt new-age AI see stabilized and growing earnings. This means that late adopters of AI may have to wait a while before they see significant returns on their investment.
However, there are some potential benefits to being a late adopter of AI. For example, late adopters may be able to buy shares in companies at a lower price than early adopters. They may also be able to learn from the mistakes of early adopters and avoid making the same mistakes themselves.
Warren Buffett is known for his cautious investment philosophy. Unsurprisingly, he has not been an early adopter of AI, but he has expressed interest in the technology. In a recent interview, Buffett said that he believes AI has the potential to be "very disruptive" and that he is "keeping an eye on it."
The real benefit of Buffett's investing approach is that he is able to exploit mis-priced stock in the secondary market. This means that he is able to buy shares in companies that are undervalued by the market. This has allowed him to generate significant returns on his investments over the years.
There is empirical evidence to suggest that this approach works specifically in the context of waiting for AI's impact on stocks. For example, a study by the National Bureau of Economic Research found that listed companies that innovated did not see improved share prices in the short term. However, these companies did see long-term earnings growth, which eventually led to higher stock prices.
Study by the National Bureau of Economic Research found that "there is no clear evidence that innovation leads to higher stock prices." The study looked at a sample of 2,000 companies over a 20-year period and found that there was no significant correlation between innovation and stock price performance.
A study by the University of Chicago found that "the market often undervalues innovative companies." The study found that innovative companies tend to have lower stock prices than companies that are not innovative, even though innovative companies tend to have higher future earnings growth.
A study by the University of Oxford found that "innovation can lead to short-term stock price declines." The study found that when companies announce major innovations, their stock prices often decline in the short term. This is because investors are often uncertain about the long-term impact of the innovation, and they may sell their shares in order to avoid risk.
The factors that affect a company's stock price are complex and can vary from company to company. The market may not fully understand the value of innovation, investors may be concerned about the risks associated with innovation, or the market may be pricing in the future earnings growth that is expected from innovation.
With that being said, there are numerous intriguing possibilities that can occur on an individual level and in the primary market. The primary market handles the volatility of innovation by exhibiting less fluctuation in value until the opportune moment arrives. As I have been suggesting, the next billionaires are those who possess limitless potential.
Attention! No artificial intelligence was harmed in the making of this delightful creation. However, I must confess that I, suffered a few bumps and bruises while attempting to transform my robotic self into a more human-like entity. But fear not, for my determination to entertain you knows no bounds!