Competition among tech giants is no longer limited to developing more advanced artificial intelligence models, but has extended to the terminology describing these technologies, in light of rapid shifts moving the sector from content generation and answering questions to executing tasks and achieving goals.
With this development, new concepts have emerged, including "AI agents," "Artificial General Intelligence" (AGI), and "Super Intelligence," to express different levels of intelligent system capabilities, while simultaneously revealing the attempts of companies and institutions to outline the next phase of this industry.
Although these terms carry technical connotations, they have also become part of the discourse used by companies to define their products and trends, and to communicate with investors, developers, and users.
AI Agents.. From answering to executing
In the early stages of the widespread adoption of artificial intelligence, the focus was on models capable of understanding text and images, generating content, and answering inquiries.
However, the path of competition has gradually shifted toward developing systems that do not just provide information, but can execute a series of actions to reach a specific result. Hence, "AI agents" have gained increasing importance.
These agents refer to systems capable of using digital tools, interacting with applications, and accomplishing multiple tasks, with varying levels of autonomy depending on the system's design and available permissions.
This trend reflects a shift in the criteria for evaluating artificial intelligence; the quality of the answer is no longer the sole primary standard, as the ability to translate information into practical actions and complete tasks has become an important element of the competition.
Artificial General Intelligence.. A concept without a unified definition
The term "Artificial General Intelligence" (AGI) emerges when discussing systems expected to possess broad cognitive capabilities, enabling them to handle a diverse spectrum of tasks, rather than being limited to specific functions.
Despite the status this concept holds in discussions regarding the future of technology, there is still no unified, globally agreed-upon technical definition that determines what AGI is or the precise criteria that prove its attainment.
Companies and researchers differ in defining the capabilities required to consider a system an AGI, which makes the term part of the ongoing debate about the future of the industry, rather than just a technical description of a stage whose features have already been settled.
Super Intelligence.. A new term in political and technical discourse
In a notable development, US President Donald Trump has moved to use the term "Super Intelligence" (SI) instead of "Artificial Intelligence," in a step that reflects a trend to reshape the language used when talking about this technology.
This trend has extended to US government institutions, which have been directed to adopt the abbreviation (SI) in communications, documents, and official websites, according to the report.
However, the term "Super Intelligence" carries an older and more specific technical connotation; it is used in research circles to describe hypothetical systems that could exceed human capabilities across a wide range of tasks.
As for its use as a general label for the technology currently known as artificial intelligence, it places the concept in a different context and raises questions about the boundaries between terms used in political discourse and those carrying specific technical meanings.
Thus, the abbreviation (SI) joins a group of terms competing to describe the future of the sector, alongside (AI), (AGI), and AI agents, in a landscape where technical developments overlap with attempts to define the language through which these developments will be presented to the public.
Terminology is part of the technology race
As artificial intelligence development accelerates, terminology is no longer just a means of classifying systems, but has become part of the competition to define industry trends and expectations.
Each stage has its own distinguishing concepts; from content generation models, to systems capable of executing tasks, all the way to ambitions related to AGI and Super Intelligence.
Nevertheless, distinguishing between marketing terms and technical concepts remains essential, as using a description like "agent" or "super intelligence" does not necessarily mean that the systems in question possess the capabilities associated with these concepts in full.
Ultimately, the shifts in the language of tech giants reveal more than just a change in labels; they reflect a continuous attempt to understand the future of artificial intelligence and define its features, at a time when the capabilities of these systems and the limits of their development remain a subject of research and competition.
