The existing bull market officially started its wave in October 2022, and OpenAI launched ChatGPT soon in the following month. However, maybe it is fair to say that AI has been the driving factor that kept the bull market running for over three years and more.
You would not have any problem finding warnings that the AI boom may end soon. Michael Burry, of The Big Short fame, is challenging that an AI bubble will soon burst. Even technology leaders seem cautious. OpenAI’s Sam Altman opined that “are we in a phase where investors are overexcited about AI as a whole? My opinion is yes”. However, I think the AI boom will not end so soon, and this is why. Let’s discover what 2026 predictions say.
The Paradox of Gen AI
It is understandable why many are hesitant about Gen AI. One of the key arguments against the phenomenon that AI-driven stock market movement is consistent is that businesses are not seeing potential returns on investment from the Gen AI projects. Global consulting business McKinsey & Company revealed that over 80% of the businesses that have integrated Gen AI have not seen any material positive gain in their bottom lines. The business refers to this as the ‘paradox of Gen AI’.
However, you may ask why this paradox exists. Only 1% of the businesses examined by the consulting firm at the beginning of the year reported that they see their Gen AI projects as ‘mature’.
More specifically, McKinsey & Company found that less than 10% of the Gen AI integrations for vertical use cases, where tech is being used to enhance particular business processes, have advanced from the pilot stage. Several firms have integrated gen AI in horizontal use cases that help boost employee productivity when it comes to some tasks. McKinsey defined these horizontal use cases have having only limited implications for the businesses since AI is not functioning autonomously or proactively.
Another side of the issue is the limitations of existing large language models. They are sometimes wrong and driven by user prompts. Several LLMs also have short memories, and they cannot work well in lengthy interactions.
Rise of AI Generalist
The rising specialization of employment that has characterized the industrial period may soon come to a stop because of AI. The specialized duties that take up the workdays of mid-level, experienced employees can increasingly be performed by agents. For instance, in IT, you might no longer require programmers with specialist language skills. Rather, you could require engineers who are knowledgeable about tech architecture as well as how to supervise and manage agents who are proficient in these languages. People with general finance skills can concentrate on increasing revenue and margins, interacting with vendors on payment terms, collaborating with sales on dynamic pricing models, and carrying out more scenario planning while agents handle tasks like invoice processing, purchase order matching, reconciliation, and anomaly detection.
Many of the job positions could be filled by entry-level employees who are AI-savvy. As agents available for anyone to purchase or rent and work at mid-level operation, differentiation is when the professionals excel at strategy and innovation. With the growing focus on the talents at junior and senior levels and a smaller mid-tier, the knowledge workforce may look like an hourglass. However, for the front-line employees, agents could replace entry-level staff with more mid-level individuals.
The Next AI Wave
If the Gen AI paradox continues to be the norm, I would think the same that an AI bubble exists and this bubble will soon burst. However, right now, I believe that we are in the initial stages of the next AI wave that will render the usual AI paradox obsolete.
However, the question is ‘what is the next AI wave’. It is the implementation of agentic AI. Rather than emphasizing less influential horizontal use cases, agentic AI is mainly focused on automatic complicated business activities. Hence, I totally expect that this automation will boost organisational profitability.
Agentic AI could even boost revenue. Think of AI agents that identify cross-selling opportunities depending on their interactions with the customers.
IBM and Salesforce expect that one billion AI agents will be adopted by the end of 2026. At the same time, Gartner predicts that agentic AI will be included in one-third of enterprise software by 2028. The tech research firm perceives that 80% of the customer service problems will be mitigated by AI agents, without the intervention of humans, and this will cut costs to 30% by 2029. The organisations that lag behind Agentic AI adoption will be left behind. Pioneers realise this. Similarly, I expect potential investment in agentic AI in 2026 and beyond, which will keep the AI boom continuing.
How to Benefit from the Agentic AI Transformation?
How can investors benefit from the business transformation with agentic AI? They can invest in stocks of firms that offer the tools to make this transformation feasible. They can also purchase the organizational stocks that include agentic AI capabilities in their products. So, Alphabet and Microsoft’s stocks can stand out in the future.
Should You Invest in Alphabet?
Before investing in the stock of Alphabet, consider the following 5 best stocks as suggested by the Motley Fool Stock Advisor analyst team. However, Alphabet was not one among them. The 5 stocks that were listed could generate huge returns in the upcoming years.
Think of Netflix, which made this list in December 2004. If you invested $1000 at that time, you would have earned $513,353. Similarly, Nvidia made the list in 2005, and if you had invested $1000 at that time, you would have earned $1072,908.
Now, it is worth considering that the total average return of Stock Advisor is 965% which suggests a market-crushing performance in comparison to 193% for the S&P 500.
Conclusion
To sum up, AI is not going to end anytime soon. The market is evolving and may enter different spheres of the business. The agentic AI is going to be the next revolution, and many companies anticipate profit from this transformation. If you want to know more updates on 5 stocks, check our articles.
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