Recent Stock Market Industry Trends: Not Just AI

by Fred Fuld III

Recent weeks have been characterized by intense market activity, but this activity is not uniform. The most prominent and influential sectors have been Information Technology and Communication Services, where performance is being driven by the relentless advancement of generative AI and strong growth in the digital engagement economy. These sectors, which represent a significant portion of the S&P 500, have been the primary engines of the market’s recent rally.

However, the term “active” also encompasses periods of extreme volatility and weakness. This is most acutely demonstrated in the Healthcare sector, which has been highly active due to a dramatic bifurcation in performance. A major sell-off in the health insurance sub-industry, triggered by fundamental business challenges and disappointing earnings, stands in stark contrast to robust growth and investor confidence in pharmaceuticals and biopharma. The broader market is navigating a complex macroeconomic landscape. While optimism over strong corporate earnings and the potential for a Federal Reserve rate cut provides a powerful tailwind, this is tempered by persistent risks from rising bond yields and escalating geopolitical tensions over tariffs. This dynamic creates a push-pull effect, demanding a highly selective and data-driven investment approach from market participants.

The Macroeconomic Backdrop: A Push-Pull Market Environment

To properly understand the recent trends in specific industries, it is essential to first analyze the broader macroeconomic context. The market has been operating in a complex environment defined by a combination of positive catalysts and persistent risks.

The overall sentiment has been cautiously optimistic, leading to positive performance in the major US stock indexes. The S&P 500 recently rose 0.8% in a single day, leaving it just shy of a new record set the previous week. The Nasdaq composite, which is heavily weighted toward technology and growth companies, added 1% to reach a new record high.Over a trailing one-month period, the S&P 500 has climbed 2.01% and is up 19.56% year-over-year. The Nasdaq has also shown significant strength, rising 3.9% over the past week and 11.1% over the last four weeks. The fact that the Nasdaq Composite is reaching new records while the S&P 500 and Dow Jones Industrial Average are showing more modest gains suggests that the current market rally is not a broad-based, all-boats-rising tide. Instead, it indicates that capital is disproportionately flowing into the technology and communication services sectors, which are the primary constituents of the Nasdaq. This targeted rally supports the central thesis that these specific sectors are highly active and influential.

The market is also contending with a series of significant economic drivers and risks. A major source of optimism stems from the prospect of potential interest rate cuts by the Federal Reserve later in 2025. This sentiment was strengthened following a weaker-than-expected US jobs report, which firmed up expectations for a rate cut at the Fed’s policy meeting in September. The possibility of lower interest rates is generally seen as a positive for equities, as it can reduce borrowing costs and stimulate economic activity. However, this positive force is being counteracted by persistent risks from rising bond yields. A rise in the “term premium”—the additional compensation lenders demand for longer-term loans—has been putting upward pressure on bond yields, which in turn pressures stock price-earnings (P/E) ratios and stock prices. This dynamic is a core reason why some analysts believe the market could be confined to a “trading range” for the remainder of 2025, as this push-pull effect creates natural upper and lower boundaries.

Another significant geopolitical headwind is the return of “hawkish tariff talk”. Investors are concerned that new tariff measures could harm corporate margins and disrupt global trade. This is not a theoretical risk; the decision by the US to raise tariffs on Indian exports to 50% caused a significant sell-off in export-oriented sectors and led to Foreign Institutional Investors (FIIs) pulling billions of dollars out of Indian equities. The market is also operating with major indices near record levels, which places a high burden on companies to deliver exceptional performance to justify their current valuations. With the market not priced for an adverse outcome, any negative news or macroeconomic surprises could trigger significant volatility. This environment underscores the need for selective investing, as only companies with strong fundamentals and innovative growth drivers can sustain investor confidence.

To provide a foundational, data-rich overview of the market’s structure, the following table details the weighting and recent performance of the sectors within the S&P 500.

SectorWeighting in S&P 500 (%)Trailing six-month performance (%)Trailing 12-month performance (%)
Information Technology31.6-0.414.6
Financials14.30.126.1
Consumer Discretionary10.6-3.721.7
Communication Services9.67.320.9
Health Care9.6-9.1-4.7
Industrials8.70.218.9
Consumer Staples5.93.115.8
Energy3.0-13.0-7.3
Real Estate2.1-5.515.9
Utilities2.50.418.2
S&P 500 Index-1.314.4
Data from Schwab, as of July 18, 2025 

The Engines of Growth: Technology and Communication Services

The most active and influential sectors in the market over the last few weeks have been Information Technology and Communication Services. Their outperformance has been driven by a confluence of powerful trends, most notably the generative AI revolution and the continued expansion of the digital engagement economy.

Information Technology: The Generative AI Revolution

The Information Technology sector, with an enormous 34.0% weighting in the S&P 500, has been the single largest driver of overall market performance. The central catalyst for this activity is the ongoing and accelerating generative AI boom. This is not merely a passing trend but a transformative force that is already leading to billions of dollars in productivity gains as companies leverage AI assistants to help human developers write and test code. The demand for computing power to support these workloads is exponentially increasing, capturing the attention of both management teams and the public.

The recent Q2 2025 earnings reports from major tech companies provide concrete evidence of how this trend is translating into tangible financial results. Shares of Meta Platforms (META) jumped 11% to an all-time high following a strong report, with CEO Mark Zuckerberg crediting AI for unlocking greater efficiency and gains in their ad system. Amazon’s (AMZN) revenue grew 13% year-over-year, and its cloud services division (AWS) revenue increased 18%, both exceeding analyst projections. Microsoft (MSFT) also paced sector gains after releasing its earnings report. Even companies like Apple (AAPL), which are seen as less directly involved in AI infrastructure, are benefiting; its iPhone sales climbed 13%, and its total number of active devices reached an all-time high, indicating strong consumer engagement with the digital ecosystem.

The AI story extends far beyond the final software or platform product. It has created a complex value chain that is driving activity in hardware and infrastructure. The semiconductor industry, which is the foundational layer for AI, is projected for double-digit revenue growth in 2025, primarily driven by the surging demand for gen AI chips such as CPUs, GPUs, and data center communications chips. This trend is benefiting a wide range of companies, from market giants to specialized players.

For example, Advanced Micro Devices (AMD) ranked among the best-performing stocks in July 2025, and some analysts see Micron Technology as an undervalued stock to watch, noting that it is the “preferred memory provider” for Nvidia’s latest AI accelerators. The fact that investors are actively pursuing companies in the hardware and memory space demonstrates a thorough understanding of the AI value chain. The demand for compute-intensive workloads is creating new challenges for global infrastructure, from data center power constraints to supply chain delays, which implies that the investment theme will continue to expand into a broader range of infrastructure-related companies.

Communication Services: The Resurgence of Digital Engagement

The Communication Services sector, with a substantial 9.6% weighting in the S&P 500, has also been a highly active area for investors, exhibiting a robust 20.9% performance over the trailing 12 months. This sector relies heavily on advertising and subscription-based revenue, which tends to rise when the economy is expanding. The recent stock activity and corporate results provide a clear picture of this trend in action.

A compelling case study is the performance of Roblox (RBLX), an online gaming and game creation platform. Its stock was one of the best performers in July 2025, with shares soaring by 19.66% in pre-market trading after a strong Q2 earnings report. The exceptional results were driven by significant growth in key metrics: revenue was up 21% year-over-year, bookings increased by an impressive 51%, and Daily Active Users (DAUs) grew by 41% to over 111 million. This growth was fueled by new, viral content, such as the game “Grow a Garden,” which was launched in March 2025 and set a world record for concurrent users in Q2. The fact that DAUs aged 13 and over now account for 64% of total users and 66% of all hours played suggests a maturing user base with significant spending power, signaling strength in the broader digital economy.

The sector’s activity is not limited to gaming. Comcast, a telecommunications and entertainment giant, also saw its stock rise more than 2% after beating earnings estimates. The company’s Q2 results were mixed but showcased strategic strengths; while it lost video and residential voice customers, it saw revenue growth in its domestic broadband and wireless divisions. The company also benefited from the successful opening of its Epic Universe theme park, which led to a 6% growth in its Content and Experiences segment. However, not all companies in the sector fared as well, with Charter Communications being listed as one of the worst-performing stocks of July 2025. This divergence highlights that even within a highly active sector, a selective approach is crucial.

The Paradox of Activity: Healthcare’s Bifurcated Market

The Healthcare sector provides a critical, nuanced perspective on market “activity.” While the sector has a significant weighting in the S&P 500, its recent performance is a study in contradiction. Instead of moving in a single direction, capital flows have been dramatically bifurcated, with investors punishing one sub-industry while rewarding others based on their business models and innovation.

The most dramatic recent market activity in Healthcare has been a major sell-off in the health insurance sub-industry. A cluster of major companies, including Centene and Molina Healthcare, ranked among the worst-performing stocks of July 2025. The reason for the sell-off was not just market sentiment but a series of fundamental business problems. Centene, for example, saw its stock plummet after it pulled its full-year 2025 earnings guidance. The company revealed that enrollment numbers in its health insurance marketplaces were lower than expected and that the enrollees were generally less healthy, leading to a stunning $1.8 billion shortfall in its risk-adjustment program. This is a systemic issue within the managed healthcare industry: the challenge of managing costs in an environment of rising utilization and higher-than-expected patient morbidity. Similarly, Molina Healthcare reported a year-over-year decrease in adjusted net income and a higher Medical Care Ratio (MCR) for its Marketplace business, indicating that the costs of providing care are rising faster than revenue. The fact that this problem is being cited across the sector, with other insurers like UnitedHealth Group also suspending their guidance, demonstrates that this is not an isolated event but a deep-seated challenge facing the business model itself.

In stark contrast, other parts of the Healthcare sector are thriving. A list of “best healthcare stocks to buy” is dominated by companies in drug manufacturers, medical devices, and diagnostics & research.  These companies are being rewarded for having strong “economic moats,” which are competitive advantages that protect their long-term profitability. For example, Novo Nordisk (NVO) is highlighted for its dominance in the diabetes and obesity treatment markets, with its innovative GLP-1 therapies providing a strong barrier against competition. Merck is also noted for its strong drug pipeline and high-margin product lineup. This flight to quality and innovation is further evidenced by a list of high-growth technology companies that includes several biopharmaceutical firms, suggesting that investor enthusiasm for technology extends to its application in drug discovery and development. This bifurcated flow of capital is confirmed by the prominence of Pharmaceutical ETFs, which have significant weightings in companies like Eli Lilly, AbbVie, and Johnson & Johnson. The stark difference in performance suggests that investors are actively punishing companies with strained business models while rewarding those with strong, innovation-driven competitive advantages.

The following tables visually represent the divergence in performance within the Healthcare sector and across other industries.

Top Performers (July 2025)SectorUnderperformers (July 2025)Sector
Comfort Systems USA (FIX)IndustrialsCentene (CNC)Healthcare
Roblox (RBLX)Communication ServicesMolina Healthcare (MOH)Healthcare
GE Vernova (GEV)IndustrialsCharter Communications (CHTR)Communication Services
PTC (PTC)TechnologyAlign Technology (ALGN)Healthcare
Advanced Micro Devices (AMD)TechnologyLiberty Broadband (LBRDA)Communication Services
Data from Morningstar, as of August 1, 2025

Conclusion: Implications for Investors and Forward Outlook

The most active industries for stock investors in the last few weeks have been Information Technology and Communication Services, driven by a powerful and concentrated rally around generative AI and digital engagement platforms. These sectors are providing the primary momentum for the broader market, with strong corporate earnings justifying high valuations and fueling investor optimism. However, the term “active” is also defined by a significant and telling divergence, most evident in the Healthcare sector, where investors are fleeing from managed care companies facing systemic cost issues and re-allocating capital toward innovative, moat-protected biopharma and medical device companies.

For investors, this bifurcated market presents a critical lesson: selectivity is paramount. A broad, passive approach to a sector like Healthcare would have been disastrous in July, while a highly selective approach could have yielded significant returns. The outsized influence of a few mega-cap technology stocks presents a concentrated opportunity, but also a risk if those companies fail to deliver. This is reinforced by the broader macroeconomic picture, which suggests a potentially “rangebound” market for the remainder of 2025. This environment highlights the value of diversification, not only across sectors but also into other asset classes like international stocks and precious metals.

The forward trajectory of these active industries will likely be determined by three key factors. First, the pace of AI innovation and adoption will continue to be a primary driver. The market will be watching to see if demand for AI hardware and software can continue to drive earnings, or if scaling challenges and new competitors will temper growth.Second, the market’s direction will be dictated by the delicate balance between corporate earnings and macro policy. Companies must continue to deliver strong results to justify their high valuations, especially in the face of rising bond yields and geopolitical tariff risks. Finally, the Healthcare sector’s path forward depends on how the health insurance sub-industry responds to its fundamental cost challenges, and whether the pharmaceutical sub-industry can continue its innovation-driven growth, which has proven to be a shield against broader market pressures.

Disclosure: Author owns several of the above mentioned stocks including AAPL, AMZN, and MSFT.

Is the Corporate Gibberish Generator Better Than ChatGPT and Bard?

by Fred Fuld III

Let’s say you run a startup, and are trying to raise money. You want your offering circular to be impressive. Or maybe you are ready to go public and you need to beef up your prospectus.

Yeah, you can go to Bard or ChatGPT and create something usable.

But why do that when you can really impress potential investors with a bunch of corporate gibberish.

All you need to do is go to the Is the Corporate Gibberish Generator™, type in your company name, and click the Generate button.

A great set of gibberish will appear.

Could it be that this generator was originally created with an early form of artificial intelligence?

AI in Your Portfolio: Maximizing Returns with Artificial Intelligence

by Fred Fuld III
Author of Artificial Intelligence: What AI Is and How You Can Use It to Make Your Life Easier: A Guide to AI for Beginners

The attached PowerPoint presentation is from a speech I gave last week for the MoneyShow Virtual Expo for Accredited Investors.

So if you attended the presentation and want to refer back to what I covered, or if you were not able to attend and find out more information, you can see it on the link to the slide show below.

For more information on AI, go to Artificial Intelligence: What AI Is and How You Can Use It to Make Your Life Easier: A Guide to AI for Beginners.

Stocks owned at the time of the presentation are in bold. No recommendations are expressed or implied.

The Artificial Intelligence Semi-Pure Play Stocks

by Fred Fuld III

I originally wrote about the pure play artificial intelligence stocks back in April of this year in an article called Top Five Pure Play AI Stocks.

Unfortunately, those stocks have very low market capitalizations and are very speculative. I figured it may be worthwhile to cover a couple of the semi pure plays in AI.

AI: What It Is

Artificial Intelligence, commonly referred to as AI, has become a revolutionary force in our modern world. It encompasses various technologies that enable machines to perform tasks that typically require human intelligence. From learning and reasoning to problem-solving and decision-making, AI has the potential to transform multiple aspects of our lives. In this blog post, we will delve into two intriguing applications of AI: Chat AI and image creation with DALL-E.

Chat AI: Transforming Customer Service and Beyond

One of the most widely used AI services today is Chat AI, which leverages natural language processing (NLP) and machine learning to enable machines to communicate with humans through chat interfaces. This technology has found a place in numerous settings, including customer service, healthcare, education, and business operations.

The key advantage of Chat AI lies in its ability to provide 24/7 support to customers without human intervention. Chatbots can efficiently handle frequently asked questions, offer information, troubleshoot issues, and even provide personalized support. By automating routine tasks, organizations can save costs and improve customer engagement.

Developers working on Chat AI face the challenge of creating algorithms that understand and interpret natural language while delivering appropriate responses. Achieving this requires a combination of NLP and machine learning techniques, as well as continuous training and improvement of the chat AI system.

Creating Images with AI: The DALL-E System

AI has ventured into the realm of visual arts with the creation of images using systems like DALL-E. Developed by OpenAI, DALL-E harnesses machine learning techniques, including NLP and computer vision, to generate images based on textual descriptions.

DALL-E’s name is a fusion of the renowned artist Salvador Dali and the beloved Pixar character Wall-E. The system has been trained on vast amounts of data, consisting of text-image pairs gathered from various sources, allowing it to understand the relationship between textual descriptions and their visual representations.

The potential applications of DALL-E are far-reaching. It offers avenues for artists, designers, and advertisers to streamline the creative process and bring ideas to life more quickly. By simply inputting a description, one can obtain an automatically generated image, even depicting non-existent objects or scenes.

However, as with any powerful technology, there are concerns associated with the misuse of AI image creation. Issues such as the production of fake images and the perpetuation of harmful stereotypes require careful consideration and ethical practices.

The Future of AI

Artificial Intelligence continues to shape our world, and its potential is boundless. Chat AI has already made significant strides, revolutionizing customer service and various industries by providing automated support and streamlining operations. As developers enhance algorithms and machine learning techniques, the capabilities of Chat AI will continue to expand.

In the realm of image creation, DALL-E showcases the remarkable progress AI has made. Allowing machines to generate images based on textual descriptions has implications for art, design, and advertising. While this technology opens new doors for creativity, it is crucial to approach it responsibly to mitigate potential risks.

As AI advances further, it is important for society to stay informed and engage in discussions surrounding its development and applications. By fostering a collaborative approach, we can ensure that AI technologies like Chat AI and image creation systems are used ethically and for the betterment of humanity.

Palantir Technologies (PLTR) is a software company that specializes in data analysis and artificial intelligence. Founded in 2003 by Peter Thiel, Alex Karp, and others, Palantir focuses on developing software platforms that enable organizations to integrate, analyze, and interpret large amounts of data.

Artificial Intelligence plays a significant role in Palantir’s offerings. The company’s flagship product is called Palantir Gotham, which is an AI-powered platform designed for data integration and analytics. Palantir Gotham utilizes advanced AI algorithms to extract insights from complex and diverse data sources, helping organizations make informed decisions and gain a deeper understanding of their data.

The AI capabilities of Palantir Gotham enable it to handle vast amounts of structured and unstructured data, including text, images, and sensor data. The platform incorporates machine learning and natural language processing techniques to uncover patterns, detect anomalies, and generate predictive models. By leveraging AI, Palantir Gotham provides users with powerful tools for data exploration, visualization, and collaboration.

Palantir also offers another product called Palantir Foundry, which is an AI-driven data integration and management platform. Foundry enables organizations to ingest, transform, and analyze data from various sources, making it accessible and actionable. Through AI technologies, Foundry automates data processing tasks, enhances data quality, and provides intelligent recommendations for data governance and security.

In addition to their software products, Palantir has developed AI applications for various industries and sectors. They have worked with government agencies, law enforcement, and intelligence communities, providing AI-powered solutions for data-driven decision-making, risk analysis, and security operations. Palantir’s AI capabilities have also found applications in healthcare, finance, and manufacturing, among other sectors, where they help organizations optimize processes, detect fraud, and improve operational efficiency.

However, it’s worth noting that Palantir’s use of AI has also raised concerns regarding data privacy, ethics, and potential biases in decision-making. As with any AI technology, responsible development, transparency, and accountability are essential considerations to mitigate these concerns.

Overall, Palantir utilizes AI as a core component of its software platforms and applications, enabling organizations to harness the power of data for improved decision-making and operational efficiency.

The stock trades at a fairly high forward price to earnings ratio of 65, however, the company has no long term debt. Quarterly revenue growth year-over -year increased by 17.7%, and the long term annual growth estimate of earnings per share over the next five years is 73%.

Verint Systems (VRNT) is a well-established software company that provides solutions for customer engagement, workforce optimization, and security intelligence. While Verint is not primarily known as an artificial intelligence company, they have integrated AI technologies into some of their offerings to enhance their capabilities.

Verint’s AI-powered solutions are designed to help organizations extract valuable insights from large volumes of data, automate processes, and improve decision-making. They utilize machine learning, natural language processing, and other AI techniques to analyze and interpret data from various sources.

In the customer engagement domain, Verint offers AI-driven solutions for voice and text analytics. These solutions can analyze customer interactions, such as calls, emails, chat conversations, and social media posts, to identify sentiment, extract key insights, and detect patterns. By leveraging AI, Verint enables organizations to understand customer behavior, optimize customer service operations, and personalize customer interactions.

Verint also provides AI-powered workforce optimization solutions, which help organizations manage and optimize their workforce performance. These solutions leverage AI algorithms to analyze employee data, identify training needs, and provide recommendations for improving workforce efficiency and productivity.

In the realm of security intelligence, Verint incorporates AI technologies to enhance their offerings. Their security solutions utilize AI-based video analytics to detect and alert on suspicious activities, automate the monitoring of security cameras, and enable real-time incident response.

While Verint Systems is not exclusively an AI-focused company, they have recognized the value of incorporating AI technologies into their solutions to enhance their capabilities and provide value to their customers. By leveraging AI, Verint aims to help organizations improve customer engagement, optimize workforce performance, and enhance security intelligence.

The stock trades at a very reasonable 11.7 times forward earnings, and the quarterly earnings growth year-over-year was 61.2%. The long term annual growth estimate of earnings per share over the next five years is 9.75%.

If you want to learn more about artificial intelligence, you should get the book Artificial Intelligence: What AI Is and How You Can Use It to Make Your Life Easier: A Guide to AI for Beginners, available in both paperback and Kindle.

Disclosure: Author owns PLTR and VRNT. This article contains Amazon affiliate links whereby I would receive a small commission on any sale through those links at no additional cost to you. 

Top 5 Pure Play AI Stocks

By Fred Fuld III

You’ve seen it on TV, you’ve read about it on news websites. Artificial Intelligence, commonly referred to as AI, is now the hottest industry. Stocks that are involved in this industry are taking off.

I originally wrote about a form of artificial intelligence back in October of 2021 in an article called The Future of Artificial Intelligence: Can You Invest In It Now?

So you may be wondering what companies are the purest plays.

WHAT AI IS

Artificial Intelligence, or AI for short, refers to the ability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, problem solving, and decision-making. AI algorithms are designed to analyze data, recognize patterns, and make predictions or recommendations based on that analysis.

In other words, AI is a way to teach machines to perform tasks that would normally require human intelligence, and to improve their performance over time based on the data they analyze. This technology has the potential to revolutionize many aspects of our lives, from healthcare to transportation to entertainment. AI is even being used to write articles and books.

WHAT CHAT AI IS

One of the most popular types of AI services is Chat AI. 

Chat AI refers to the use of artificial intelligence technologies, such as natural language processing (NLP) and machine learning, to enable machines to communicate with humans via chat interfaces, such as chatbots or virtual assistants.

Chat AI is used in a variety of settings, such as customer service, where chatbots can be used to answer frequently asked questions, provide information, or help customers troubleshoot issues. Chat AI can also be used in healthcare to provide personalized support and advice, in education to assist with learning, and in business to streamline operations and improve customer engagement.

The key advantage of Chat AI is that it enables organizations to provide 24/7 support to their customers, without the need for human intervention. Additionally, Chat AI can help organizations save costs by automating routine tasks and reducing the need for human labor.

To enable effective Chat AI, developers must ensure that the algorithms are capable of understanding and interpreting natural language, as well as providing appropriate responses to user queries. This requires a combination of NLP and machine learning techniques, as well as ongoing training and improvement of the chat AI system.

Overall, Chat AI is an increasingly popular technology that has the potential to transform the way we interact with machines and automate routine tasks in various industries.

CREATING IMAGES WITH AI

Yes, artificial intelligence is now being used to create images, such as book covers, logos, album covers, and many other purposes. You just need to type in a simple description, and a picture will automatically be created. One of the most popular AI image services is called DALL-E.

DALL-E is an artificial intelligence system developed by OpenAI that is capable of generating images from textual descriptions. The name “DALL-E” is a combination of the artist Salvador Dali and the Pixar character Wall-E.

The DALL-E system uses a combination of machine learning techniques, including natural language processing and computer vision, to interpret textual descriptions and generate corresponding images. It is capable of creating images of objects and scenes that do not exist in the real world, such as a teapot made of giraffe or a snail-shaped harp.

THE BIG PLAYERS

The DALL-E system was trained on a dataset of text-image pairs, which enabled it to learn the relationship between textual descriptions and their corresponding visual representations. The system was trained on a massive amount of data, including images from the internet and text descriptions from a variety of sources.

The potential applications of DALL-E are numerous, including in the fields of art, design, and advertising. It has the potential to streamline the creative process and help artists and designers bring their ideas to life more quickly and easily. However, there are also concerns about the potential misuse of this technology, such as the creation of fake images or the propagation of harmful stereotypes.

First, let’s get the large stocks out of the way. There are many companies involved in AI, ranging from startups to large corporations. However, some of the biggest companies involved in AI are:

Google (GOOG) (GOOGL) is known for its search engine, but it’s also heavily invested in AI, with products like Google Assistant, Google Photos, and Google Translate all utilizing machine learning.

Amazon (AMZN) is using AI in many areas, such as its recommendation engine, its Alexa voice assistant, and its Amazon Go stores, which use computer vision to enable a checkout-free shopping experience.

Microsoft (MSFT) has been investing heavily in AI and has developed several AI-powered products, including Cortana, Skype Translator, and Microsoft Cognitive Services.

IBM (IBM) has a long history of developing AI technologies, and its Watson platform is one of the most well-known examples of AI in action.

Meta/Facebook (META) uses AI in a variety of ways, including facial recognition technology for tagging photos and content moderation.

Apple (AAPL) has been incorporating AI into many of its products, including Siri and Face ID.

NVIDIA (NVDA) is a leading manufacturer of GPUs, which are essential for training and running AI models.

Baidu (BIDU) is a Chinese search engine that is heavily investing in AI, with projects ranging from self-driving cars to voice recognition.

Tesla (TSLA) is using AI in its autonomous driving technology and is working to develop a fully self-driving car.

Alibaba (BABA), the Chinese e-commerce company, is investing in AI to improve its recommendation engine and other areas of its business.

THE PURE PLAYS

Now let’s get to the purer plays in artificial intelligence.

C3.AI

C3.ai, Inc. (AI) is a software company, located in Redwood City, California, that provides enterprise AI solutions for a variety of industries, including energy, healthcare, and finance. The company was founded in 2009 by Dr. Thomas M. Siebel, who is also the CEO of the company.

Before founding C3.ai, Dr. Siebel was the founder and CEO of Siebel Systems, a leading enterprise software company that was acquired by Oracle Corporation in 2006. After the acquisition, Dr. Siebel focused on developing AI-based solutions for the enterprise market and founded C3.ai.

Initially, C3.ai focused on developing predictive maintenance and energy management solutions for the energy industry. The company’s first product, C3 Energy Management, was designed to help utilities optimize their energy generation and distribution systems using machine learning algorithms.

Over time, C3.ai expanded its focus to other industries, including healthcare, financial services, and manufacturing. The company’s current product offerings include C3 AI Suite, which is a platform that enables organizations to develop and deploy AI applications, and C3.ai Ex Machina, which is an AI-powered data science platform for data scientists and developers.

C3.ai has received funding from several prominent investors, including Breyer Capital, TPG Growth, and the Rise Fund. In December 2020, the company went public on the New York Stock Exchange under the ticker symbol “AI,” raising $651 million in its initial public offering.

The stock has a market capitalization of $2.45 billion. This debt-free company has $6.76 in cash per share.

SOUNDHOUND AI

SoundHound AI, Inc. (SOUN) is a Silicon Valley-based technology company that specializes in developing sound recognition and voice-enabled AI solutions. The company was founded in 2005 by Dr. Keyvan Mohajer, who is also the CEO of the company.

Initially, the company started as a music recognition app called “Midomi,” which allowed users to hum or sing a song, and the app would identify the song. Later on, the company expanded its focus to voice-enabled AI technology and changed its name to SoundHound Inc.

In 2015, SoundHound Inc. launched its flagship product, Hound, which is an AI-powered voice assistant. Hound uses a natural language processing (NLP) technology that enables users to speak complex and specific queries in a conversational manner. The Hound voice assistant is available as a mobile app and can be integrated into other devices and applications.

In addition to Hound, SoundHound AI, Inc. also offers a suite of AI-based products and services, including sound recognition technologies for speech-to-text and music identification, and voice-enabled AI solutions for automotive, hospitality, and other industries.

The company has received funding from several prominent investors, including NVIDIA, Samsung, and Tencent Holdings. By 2021, SoundHound AI, Inc. had raised over $250 million in funding.

SoundHound has a market cap of $580 million. The company is debt-free and quarterly sales increased by over 79% year-over-year.

BIGBEAR.AI

BigBear.ai Holdings, Inc. (BBAI) is a technology company that develops and provides artificial intelligence (AI) solutions for defense and intelligence organizations, as well as for commercial customers. The company was founded in 2018 and is headquartered in Reston, Virginia.

BigBear.ai’s technology solutions use AI and machine learning to help customers make sense of large and complex data sets, as well as to automate decision-making processes. The company’s AI-driven solutions are designed to improve situational awareness, increase operational efficiency, and support decision-making across a range of industries and applications.

The company’s solutions cover a range of capabilities, including computer vision, natural language processing, and data analytics. BigBear.ai’s solutions are used in a variety of applications, such as intelligence analysis, threat detection, predictive maintenance, and supply chain optimization.

BigBear.ai has a broad customer base that includes government agencies and commercial customers in various industries. The company has received funding from several venture capital firms, including Riverside Partners, Chart National, and Blu Venture Investors.

In 2021, BigBear.ai announced that it had entered into a definitive agreement to merge with GigCapital4, a special purpose acquisition company (SPAC), in a deal that valued the combined company at $1.57 billion. The merger was completed in August 2021, and the combined company is now publicly traded on the NASDAQ under the ticker symbol “BBAI” as “BigBear.ai”.

This debt-free company has a market cap of $458 million. 

T STAMP

T Stamp Inc. (IDAI) is an identity authentication software company that uses artificial intelligence (AI) to develop solutions for government, enterprise partners, and peer-to-peer markets in the United States, the United Kingdom, and Malta.

T Stamp’s AI-powered solutions leverage biometric science, cryptography, and data mining to deliver identity and trust predictions, protect sensitive user information, and extend the reach of digital services through global accessibility. The company’s solutions include converting biometric and other identifying data into an Irreversibly Transformed Identity Token that serves as a secure tokenized identity. T Stamp also offers solutions for privacy and data protection, document validation, identity verification, geolocation, duplicate detection, and biometric capture.

T Stamp’s solutions serve a variety of industries, including banking/fintech, humanitarian and development services, KYC/AML compliance, government and law enforcement, P2P transactions, social media, and sharing economy, and real estate, travel, and healthcare. The company was incorporated in 2016 and is headquartered in Atlanta, Georgia.

Overall, T Stamp’s mission is to provide secure and scalable identity authentication solutions that leverage AI and advanced technologies to protect user privacy and combat identity fraud.

This is a microcap stock with an extremely low market cap of $18 million, and should therefore be considered extremely speculative. 

MARPAI

Marpai, Inc. (MRAI) is a software company that specializes in developing and deploying artificial intelligence (AI) systems for the enterprise market. The company was founded in 2016 by a team of experienced entrepreneurs and AI researchers, including CEO and Co-founder Mark Sears.

Marpai’s platform, called “Cortex,” is designed to help businesses leverage AI to automate processes, extract insights from data, and improve decision-making. Cortex uses advanced machine learning algorithms to analyze large amounts of data and provide actionable insights to users.

The company has received funding from prominent venture capital firms, including Bain Capital Ventures, Crosslink Capital, and SVB Capital, among others. In May 2021, Marpai announced that it had raised $30 million in a Series A funding round led by M12, Microsoft’s venture fund, with participation from other investors.

Marpai has a range of customers across different industries, including finance, healthcare, and retail. The company’s solutions are used for a variety of applications, such as fraud detection, customer service automation, and supply chain optimization.

Overall, Marpai’s mission is to democratize AI and make it more accessible to businesses of all sizes, by providing a scalable and user-friendly platform for deploying AI solutions.

The stock is debt-free and quarterly revenue growth year-over-year was 28.8%. This is another microcap stock with an extremely low market cap of $40 million, and should therefore also be considered extremely speculative.

AI SUMMARY

According to Fortune Business Insights, “The Artificial Intelligence market is projected to grow from $387.45 billion in 2022 to $1394.30 billion by 2029, at a CAGR of 20.1%.”

Just remember, that there are many ups and downs in new industries, and all the pure play stocks in this list should be considered speculative. Remember, no recommendations are expressed or implied. 

If you want to learn more about artificial intelligence, you should get the book Artificial Intelligence: What AI Is and How You Can Use It to Make Your Life Easier: A Guide to AI for Beginners, available in both paperback and Kindle.

Disclosure: Author didn’t own any of the above at the time the article was written, although may be making purchases in the near future. This article contains Amazon affiliate links whereby I would receive a small commission on any sale through those links at no additional cost to you. 

The Future of Artificial Intelligence: Can You Invest In It Now?

by Fred Fuld III

Artificial intelligence, also known as AI, is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans.
AI applications include advanced web search engines, recommendation systems, speech recognition, self-driving cars, and much more. Now AI is involved in the areas of writing, both fiction and non-fiction, and graphics.

This Woman Does Not Exist

Woman does not exist

First, let’s start out with art. The woman that you see above was created with artificial intelligence (and a little input from me). This person does not exist in real life.

I don’t consider myself an artist, but with the help of a website called ArtBreeder.com, I was able to adjust such things as the ethnicity, eye color, hair color, happiness, age, and many other features.

AI Controls

I could have even added eyeglasses, different earrings, makeup, and various aspects of the picture itself, such as color hues, brightness, and sharpness.

And that is only the beginning. I could have even merged her image with another image.

The best part is that you can try it out for free.

Let me give you one more example. I took the image of Benjamin Franklin, from the $100 bill, and made him younger with some facial hair.

Ben FranklinYoung Ben Franklin

Notice the difference? Incredible technology. You should give it a try.

Who Wrote This?

Now I’m going to give you one more example of AI, this time in the form of writing. You can actually use AI to write non-fiction articles and even fiction.

Check out the following in italics. It is an article that I had a website called ShortlyAI.com write, that based on a starting informative sentence, will write a passage or article for you.

Read it and see if you think a software program could have written this.

It is amazing what artificial intelligence can do now. Websites created by researchers have been able to write text and create pictures that seem like a person wrote them. This is the future of AI and it is amazing what we can learn in this new point in history.

Artificial intelligence can perform amazing tasks, from writing articles, pictures, music, etc. The future of AI will bring us closer to robots taking over many jobs from humans. In the future artificial intelligence may be capable of all these things without any help from a human being.

This futuristic idea is not new and journalists have been talking about this for years. The problem with all this new technology is that it may take away certain jobs from humans and make them obsolete. So robots and computer programs could replace humans at some point in the future.

The AI industry has grown rapidly in the past few years and people are still trying to figure out how to use it correctly. The things that artificial intelligence can do today are amazing and we will look back on this time as the beginning of a new revolution.

The future of AI will also bring us to the point where AI will think for itself, not just work on specific tasks. AI is able to learn and grow and help humans with projects. AI will be able to do things by itself that we cannot even imagine at this time.

Artificial intelligence will continue to get better at more tasks, from writing articles, pictures, music, and other media.

Not bad for a computer. Obviously, it could use a little tweaking and some additional information, but it should give you a good idea of what AI can do. Give it a try.

How to Invest in AI

Unfortunately, there are not really any pure plays in the artificial intelligence arena. Most of the major companies are involved in AI in some way. These stocks include:

  • Alphabet Inc. (GOOG)
  • Apple Inc. (AAPL)
  • Amazon (AMZN)
  • Twilio Inc. (TWLO)
  • ServiceNow, Inc. (NOW)
  • NVIDIA Corporation (NVDA)
  • QUALCOMM Incorporated (QCOM)
  • International Business Machines Corporation (IBM)
  • Splunk Inc. (SPLK)
  • DocuSign, Inc. (DOCU)
  • CrowdStrike Holdings Inc. (CRWD)
  • and many others.

One of the closest pure plays is C3.ai, Inc. (AI), with the appropriate stock ticker symbol. The company is an enterprise artificial intelligence software company with customers around the world. This $4.7 billion market cap company is currently generating negative earnings. Revenues for the latest reported year rose by over 17%. The company has no long term debt. 18% of the float is short.

Another pure play is Remark Holdings (MARK), markets its AI-based products and services under the Remark AI brand in the United States; and under the KanKan brand in China. The stock has a market cap of $228 million. Revenues for the latest reported year rose by over 100%. The short percent of float is 12%.

Maybe one of these days, AI will come up with a way of beating the stock market.

 

Disclosure: Author owns AAPL, AMZN at the time the article was written.

Affiliate links on this page.

Digital Transformation: Survive and Thrive in a Era of Mass Extinction

by Fred Fuld III

Whether you are an investor or you manage a business, you need to read the book Digital Transformation: Survive and Thrive in a Era of Mass Extinction by Thomas M. Siebel.

In case you are not familiar with Siebel, he is the founder and CEO of the artificial intelligence software company C3. He was named Glassdoor Top CEO last year and is a three-time recipient of the EY Entrepreneur of the Year Award.

Siebel discusses in detail, but in easy to understand language, the digital transformation that is taking place in the business world.

He covers four major areas of technology, why they are important, and how they should be incorporated in businesses. The flexibility of elastic cloud computing, along with hybrid-cloud and multi-cloud is discussed. He also describes why all big data must be used with real time deductions that can be put into place.

Siebel covers the Internet of Things and how important it is to make all devices a computer. Finally, he talks about incorporating natural language processing, deep learning, and supervised learning in artificial intelligence.

Time is of the essence with digital technology. If you want to get on the bandwagon, get Digital Transformation. I highly recommend it.

Interview with Brent Wilsey about Stocks and Artificial Intelligence

The following informative interview was provided by Brent Wilsey, a Registered Investment Advisor who has spent over 40 years in the industry. He is the head of Wilsey Asset Management in San Diego, and has hosted the “Smart Investing Show” on KFMB Radio for the last 15 years. He has appeared on CNN, CNBC, Bloomberg, and Fox Business News.

He discusses Artificial Intelligence and how companies are utilizing this technology. Stocks that are discussed include:

  • P. Morgan Chase (JPM)
  • Boeing (BA)
  • Papa John’s (PZZA)

He also talks about Bitcoin, the future of the stock market, and good and bad sectors.

To stream the interview, click:

HERE

You can download as an mp3 by right-clicking here and choosing “save as.”

More information about Wilsey Asset Management can be found at:

Wilsey Asset Management

Smart Investing with Brent & Chase Wilsey Radio Show

Wilsey Smart Investing Workshops

All opinions are those of Brent Wilsey, and do not represent the opinions of WStNN.com or Stockerblog.com or the interviewer. Neither this website nor the interviewer nor the interviewee are rendering tax, legal, or investment advice in this interview. All information is provided for education and general information only.