What Are the 4 Types of Artificial Intelligence?
There are four types of artificial intelligence: reactive AI (or narrow AI), limited memory AI, theory of mind AI, and conscious AI (or superintelligence). Today, only the first two types actually exist. The other two remain theoretical. What you use in business is almost always limited memory AI.
Type 1: Reactive AI
This is the most basic form. It reacts to an input and produces an output. No memory, no learning, no context.
Concrete example: Deep Blue, IBM’s program that defeated Garry Kasparov at chess in 1997. It analyzed millions of possible moves but retained no memory of previous games.
In a business context in Morocco or Europe, you find this type in automatic email filtering systems, CRM routing rules, or some basic conversational agents.
Limitation: it does not adapt. Change the context, it fails.
Type 2: Limited Memory AI
This is where the bulk of activity is concentrated today. This type of AI learns from historical data to make better decisions.
Large language models like GPT-4, Gemini, or Claude fall into this category. So do recommendation systems from Netflix or Spotify. The predictive analytics tools being adopted by procurement departments in Moroccan companies, as reported by LesEco.ma, operate on this principle.
What this changes concretely: the AI observes patterns, memorizes them during a session or training cycle, and adjusts its responses. It does not “understand,” but it predicts with increasing accuracy.
This is also the type of AI powering recruitment tools. I detailed how to integrate them into HR processes in my practical guide on AI in recruitment.
Warning: according to cio-mag.com, 42% of business users in Morocco import complete documents into uncontrolled external tools. This is not an AI type problem. It is an AI governance problem. Two different subjects.
If you want to structure your approach before deploying these tools, download the Board Pack AI 2026. It is the framework I use to help executives ask the right questions before investing.
Type 3: Theory of Mind
This type does not exist yet. It refers to an AI capable of understanding human emotions, intentions, and mental states, and adapting its behavior accordingly.
Not a simulation of empathy. A genuine modeling of what the other person thinks and feels.
Researchers are working on it. Some laboratories are advancing on models capable of detecting an interlocutor’s emotional state. But we do not yet have an operational system at this level.
For a CHRO or CEO, this type of AI would radically change performance reviews, the detection of weak signals within teams, or customer relationships. But it is not coming tomorrow morning.
Type 4: Conscious AI (Superintelligence)
This is the ultimate theoretical level. An AI that surpasses human intelligence in all domains, possesses its own consciousness, desires, and autonomous existence.
Neither OpenAI, nor Google DeepMind, nor any other laboratory has produced this. Debates about AGI (artificial general intelligence) remain active in the scientific community, but we are far from it.
What is useful for an executive to remember: alarmist discourse about “AI taking control of everything” refers to this type. The tools you buy today are type 2. The gap is considerable.
What This Means for Your Business
This classification is not an academic exercise. It has direct practical utility.
When a vendor sells you “an AI solution,” ask: which type? On what data was it trained? What is its memory capacity? Can it adapt to your specific context?
Companies like AH Digital, which are industrializing process automation for Moroccan SMEs according to Yabiladi, work with type 2 AI. No magic. Models trained on business data, integrated into existing processes.
This is also what I observe in projects I accompany between Casablanca and Brussels: value does not come from the type of AI chosen. It comes from data quality, clarity of the use case, and the organization’s capacity to manage change.
For a deeper look at the concrete tools available today, read my analysis of the 5 most used AI tools in business.
If you are a CEO or CHRO and want to assess where your organization stands with these technologies, request a free diagnostic.
FAQ
What is the difference between weak AI and strong AI?
Weak AI (reactive and limited memory AI) is designed for a specific task. It does not understand, it calculates. Strong AI refers to an AI capable of reasoning like a human across any domain. Today, only weak AI exists.
Is generative AI a separate type of AI?
No. Generative AI (GPT, Gemini, Midjourney) is an application of limited memory AI. It generates new content from patterns learned on massive datasets. It is type 2, with capabilities for producing text, images, or code.
What types of AI are used in Morocco today?
The examples cited here are mostly type 2. Orange Maroc’s initiatives, SME automation projects, procurement tools deployed in large companies: all of this relies on limited memory models, trained on sector-specific or general data.
Do you need to know these types to make an AI purchasing decision?
Yes. Not to do engineering, but to ask the right questions of your vendors and avoid unmet promises. A type 1 tool will never adapt to your context. A type 2 tool can, provided it is properly configured and fed with relevant data. See also the AI regulatory framework in Morocco to understand the obligations governing these deployments.