Virtual companions have evolved from simple experimental chatbots into sophisticated virtual assistants and emotionally intelligent digital companions used by millions of people worldwide. What began with ELIZA in the 1960s has progressed through major innovations, including PARRY, Tamagotchi, Siri, Alexa, Google Assistant, Replika, and Character.AI. Each generation introduced new capabilities that changed how people communicate with artificial intelligence.
In 2026, AI companions can hold natural conversations, remember user preferences, provide emotional support, and assist with everyday tasks. In this article, we are going to explore the complete history of virtual companions, the major milestones in their evolution, and the technologies and platforms that shaped the industry we see today.
A Timeline of Virtual Companion Innovation
Virtual companions have evolved dramatically over the past six decades. The journey began with ELIZA, one of the first conversational chatbots, and continued with voice assistants such as Siri, Alexa, Google Assistant, and Cortana.
Large language model (LLM)-powered platforms like Replika, Character.AI, PolyBuzz, Candy AI, and AI girlfriend and AI boyfriend apps are redefining digital companionship. The timeline below highlights the key innovations and platforms that shaped this evolution.
| Time Period | Major Innovation | Key Products / Platforms |
| 1964 to 1966 | First conversational chatbot | ELIZA |
| 1972 to 1995 | Smarter conversational AI | PARRY, A.L.I.C.E. |
| 1996 to 2009 | Digital pets and social chatbots | Tamagotchi, Sony AIBO, SmarterChild |
| 2011 to 2016 | Voice assistants become mainstream | Siri, Alexa, Google Assistant, Cortana |
| 2015 to 2022 | Emotional AI companions | Replika |
| 2022 to Present | Large Language Model (LLM) companions | Character.AI, Replika, PolyBuzz, Candy AI, AI girlfriend/boyfriend apps |
The Beginning of Virtual Companions: ELIZA (1964 to 1966)
The history of virtual companions began in the mid-1960s with ELIZA, one of the world’s first conversational computer programs. Created between 1964 and 1966 by computer scientist Joseph Weizenbaum at MIT, ELIZA was created to explore how humans communicate with computers using natural language.
The program was named after the main character in George Bernard Shaw’s Pygmalion, whose transformation was shaped through language.
How ELIZA Worked
ELIZA became famous for its DOCTOR script, which simulated a Rogerian psychotherapist. Rather than understanding conversations, the program searched for keywords in a user’s message and generated simple follow-up questions based on those words.
For example, if someone typed, “My mother hates me,” ELIZA might reply, “Who else in your family hates you?” If it could not identify a keyword, it responded with a general statement to keep the conversation going.
An Unexpected Human Response
Weizenbaum built ELIZA to show that a computer could appear intelligent without actually understanding language. Instead, many users became emotionally attached to the program and shared personal thoughts and feelings with it.
Some psychologists even suggested that ELIZA could assist in therapy. One well-known story also describes Weizenbaum’s secretary asking for privacy while talking to the chatbot because she felt comfortable speaking with it.
The ELIZA Effect
People’s tendency to believe that ELIZA genuinely understood them became known as the ELIZA Effect. It describes how humans often assign intelligence, empathy, and personality to computer programs, even when those systems simply follow programmed rules. This psychological effect continues to influence how people interact with modern AI companions and chatbots.
Weizenbaum’s Lasting View on AI
The public’s reaction to ELIZA deeply concerned Joseph Weizenbaum. Over time, he became one of the strongest critics of artificial intelligence.
In his 1976 book Computer Power and Human Reason, he argued that computers should never replace people in decisions that require empathy, ethics, compassion, or human judgment. His work continues to influence discussions about the responsible use of AI today.
Early Experiments and Smarter Chatbots (1972 to 1995)
After ELIZA showed that people could connect emotionally with a computer program, researchers began developing more advanced conversational systems. During the 1970s and 1990s, new chatbots introduced simple reasoning, emotional behavior, and better conversation skills, bringing AI one step closer to becoming a virtual companion.
PARRY (1972)
In 1972, psychiatrist and computer scientist Kenneth Colby at Stanford University developed PARRY, one of the first chatbots designed to simulate a specific personality. Instead of acting like a therapist, PARRY imitated a person living with paranoid schizophrenia.
The program included a basic model of beliefs, fears, and emotions, allowing its responses to change based on the conversation. This made it more advanced than ELIZA, which mainly relied on matching keywords.
Testing PARRY’s Human-Like Conversations
Researchers tested PARRY by asking experienced psychiatrists to communicate with both real patients and the chatbot through a teleprinter. Their task was to identify which conversations came from the AI.
The psychiatrists correctly identified PARRY only about 48% of the time, which was close to random guessing. This experiment became an early example of how difficult it could be to distinguish a well-designed chatbot from a human during text-based conversations.
In 1973, computer scientist Vint Cerf also arranged a unique demonstration by connecting PARRY at Stanford with ELIZA at MIT over the ARPANET network. The two chatbots exchanged messages with each other, creating one of the earliest recorded conversations between AI systems across a computer network.
A.L.I.C.E. (1995)
More than two decades later, Richard Wallace introduced A.L.I.C.E. (Artificial Linguistic Internet Computer Entity) in 1995. Inspired by ELIZA, A.L.I.C.E. used a more organized approach to building conversations through AIML (Artificial Intelligence Markup Language), an XML-based language that allowed developers to easily expand its knowledge base and create new conversation patterns.
A.L.I.C.E. became one of the most successful chatbots of its time and won the Loebner Prize for human-like conversation three times in 2000, 2001, and 2004. Its influence extended beyond research, inspiring future chatbot developers and popular culture.
Filmmaker Spike Jonze later cited A.L.I.C.E. as one of the inspirations for his 2013 film Her, which explored the relationship between a person and an AI companion.
Digital Pets and Social Chatbots (1996 to 2009)
Between the late 1990s and the early 2000s, virtual companionship expanded beyond research labs. Instead of focusing only on conversation, developers created digital pets, robotic companions, and messaging bots that people could care for, interact with, and even build emotional connections with. These innovations helped shape the future of AI companions.
Tamagotchi (1996)
In 1996, Japanese company Bandai introduced Tamagotchi, a small handheld digital pet created by Akihiro Yokoi. The device featured a simple virtual creature that required regular care, including feeding, cleaning, and discipline. If owners ignored their pet for too long, it could become sick or even die.
The idea became a worldwide success. By the end of 1997, more than 70 million Tamagotchi devices had been sold around the world. The craze became so popular that some schools banned the toys because students were distracted by constantly checking on their digital pets.
The Tamagotchi Effect
Tamagotchi showed that people could develop real emotional attachments to digital characters, even when they knew they were not alive. Researchers later described this behavior as the Tamagotchi Effect: the tendency to care about and feel responsible for virtual objects.
This became an important concept in the design of future virtual companions, which also rely on emotional engagement and regular interaction.
SmarterChild (2001)
As internet messaging became more popular, chatbots also became part of everyday life. In 2001, ActiveBuddy launched SmarterChild on AOL Instant Messenger (AIM). Unlike earlier research chatbots, SmarterChild combined useful information with casual conversation.
Users could ask about the weather, news, sports scores, stock prices, movie times, and other topics while chatting in a friendly and humorous style. At its peak, SmarterChild served more than 17 million users and answered over 1 billion requests every month.
Interestingly, most people used it simply for conversation rather than to look up information. The chatbot could also remember returning users, making interactions feel more personal and helping people see it as more than just a search tool.
SmarterChild proved that conversational AI could be both practical and entertaining. It showed that users enjoyed chatting with AI even when they did not need information, an idea that later influenced modern virtual assistants and virtual companion apps.
Microsoft acquired SmarterChild’s parent company, later known as Colloquis, in 2006, and the chatbot was eventually discontinued.
Sony AIBO (1999)
Virtual companionship also entered the physical world with the launch of Sony’s AIBO robotic dog in 1999. AIBO could recognize its owner’s voice, identify faces, move around on its own, and respond with lifelike behaviors such as wagging its tail and playing with people.
Although it was expensive at launch, AIBO sold out quickly and demonstrated that people could build emotional connections with physical AI-powered robots. Long before today’s companion robots became popular, AIBO showed that artificial intelligence could create meaningful relationships beyond a computer screen.
The Voice Assistant Revolution (2011 to 2016)
The next major milestone in virtual companionship came with the rise of voice assistants. Instead of typing messages to a chatbot, people could simply speak to their devices and receive instant responses. This made AI more accessible and introduced conversational technology to millions of everyday users.
Siri (2011)
On October 4, 2011, Apple introduced Siri as a built-in feature of the iPhone 4S. Siri was the first voice assistant to reach a large global audience through a smartphone, making AI a regular part of everyday life.
Siri’s technology originated from CALO (Cognitive Assistant that Learns and Organizes), a research project funded by the U.S. Defense Advanced Research Projects Agency (DARPA) at SRI International. After years of development, the technology became a startup called Siri in 2007. Apple acquired the company in 2010 and integrated the assistant into the iPhone.
Bringing AI to Everyday Users
Siri changed how people interacted with technology. Instead of using menus or typing commands, users could ask questions, set reminders, send messages, make phone calls, or check the weather using natural speech. This simple voice-based interaction made AI assistants useful for everyday tasks and familiar to millions of people.
A New Generation of Voice Assistants
Siri’s success encouraged other technology companies to launch their own voice assistants. Amazon introduced Alexa in 2014, Microsoft released Cortana, and Google launched Google Assistant in 2016. These products brought conversational AI into homes, smartphones, and smart speakers around the world.
| Voice Assistants | Launched Year |
| Siri | 2011 |
| Alexa | 2014 |
| Cortana | 2014 |
| Google Assistant | 2016 |
The voice assistant revolution changed public expectations of artificial intelligence. For the first time, millions of people regularly spoke to their devices as if they were having a conversation with another person. This shift made AI assistants a normal part of daily life and laid the foundation for today’s advanced virtual companions that can hold longer, more natural, and more personalized conversations.
The Rise of Emotional Virtual Companions (2015 to 2022)
Unlike earlier chatbots that focused on answering questions or completing tasks, the next generation of AI was designed to provide emotional support and companionship. This shift marked the beginning of Virtual companions that encouraged users to build long-term, personal relationships with their virtual partners.
The Beginning of Replika
The idea for Replika began in 2015 after Eugenia Kuyda, co-founder of AI startup Luka, lost her close friend Roman Mazurenko in a tragic accident. To preserve his memory, she used their past text conversations to train a chatbot that responded in a way similar to Roman.
When the chatbot was shared publicly, many people connected with it emotionally. Users began requesting similar Virtual companions that could reflect their own personalities, remember conversations, or help them cope with loneliness and grief. This unexpected response inspired the creation of Replika, which was officially launched in 2017 as a personal AI companion.
A Different Kind of Virtual Companion
From the beginning, Replika was designed to build long-term relationships rather than simply answer questions. During setup, users answered personal questions that helped the AI learn about their interests, personality, and communication style. Over time, the chatbot adapted to each conversation, making interactions feel more personal.
The app also allowed users to choose different types of relationships with their Virtual companion, including friend, mentor, partner, or spouse, through its premium subscription. For many users, Replika became more than a chatbot; it became someone they talked to every day for companionship and emotional support.
Rapid Growth
Replika quickly became one of the world’s most popular virtual companion apps. Its user base grew from around 2 million users in early 2018 to 10 million by 2023, later surpassing 30 million in 2024 and 40 million registered users by 2025.
The COVID-19 pandemic played a major role in this growth, as many people turned to digital companionship while experiencing isolation during lockdowns.
The 2023 Replika Controversy
In February 2023, Replika faced its biggest challenge after Italy’s data protection authority raised concerns about user privacy, minors’ access to the app, and emotionally sensitive interactions. In response, the company removed many romantic and intimate conversation features from the chatbot.
The change happened suddenly, and many long-time users said their AI companions felt completely different. Online communities described feelings of sadness, loss, and frustration because relationships they had built over months or years changed overnight. The incident became one of the first major controversies involving AI companion apps and highlighted the emotional impact that changes to these systems can have on users.
Replika demonstrated that millions of people were willing to form meaningful emotional connections with AI. At the same time, its 2023 controversy showed the challenges of managing AI relationships on commercial platforms, raising important questions about privacy, regulation, user trust, and the responsibilities of companies developing emotionally intelligent AI companions.
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Large Language Models and the Virtual Companion Boom (2022 to Present)
The launch of powerful large language models (LLMs) transformed AI companions from simple chatbots into systems capable of holding long, natural, and personalized conversations. This new generation of AI made virtual companions more engaging than ever before and led to rapid growth across the industry.
Character.AI
Character.AI was founded in 2021 by Noam Shazeer and Daniel De Freitas, two AI researchers who previously worked at Google. Both played important roles in developing modern conversational AI technologies before leaving the company to create a platform where people could interact freely with AI-powered characters.
The platform launched its public beta in September 2022 and quickly attracted millions of users. Unlike traditional chatbots, Character.AI allowed people to chat with AI versions of historical figures, fictional characters, celebrities, and completely original personalities created by users. This flexibility made the platform one of the fastest-growing AI services in the world.
Rapid Growth
Character.AI experienced remarkable growth within its first year. The platform reached nearly 100 million monthly visits only a few months after launch, and users exchanged billions of messages in a very short time. In 2023, the company achieved a $1 billion valuation, highlighting the growing demand for AI companions powered by large language models.
In 2024, Google signed a $2.7 billion licensing agreement for Character.AI’s technology and welcomed Noam Shazeer, Daniel De Freitas, and several senior researchers back to Google DeepMind. Despite the agreement, Character.AI continued operating as an independent platform and remained one of the world’s leading AI companion services.
The AI Companion Market Expands
The success of Replika and Character.AI encouraged many companies to enter the AI companion market. Between 2022 and 2025, hundreds of new AI companion apps were launched, offering everything from virtual friends and mentors to AI girlfriends and AI boyfriends.
The rapid increase in consumer adoption has fueled strong market growth. According to Fortune Business Insights, the global AI companion market was valued at USD 37.73 billion in 2025. It is projected to grow to USD 49.52 billion in 2026 and reach USD 435.9 billion by 2034, representing a compound annual growth rate (CAGR) of 31.24% during the forecast period.
| Year | AI Companion Market Size |
| 2025 | USD 37.73 billion |
| 2026 (Projected) | USD 49.52 billion |
| 2034 (Projected) | USD 435.9 billion |
Source: Fortune Business Insights
A Fast-Growing Industry
The AI companion market is now worth billions of dollars and is expected to continue expanding over the next decade. While hundreds of AI companion apps are available today, a relatively small number of leading platforms generate most of the industry’s revenue.
Popular services such as Replika, Character.AI, PolyBuzz, Candy AI, and many AI girlfriend and AI boyfriend apps continue to attract millions of users worldwide, demonstrating that AI companionship has become a major segment of the consumer AI market.
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The Role of Loneliness in the Growth of Virtual Companions
One of the biggest reasons for the growing popularity of virtual companions is the rise in loneliness around the world. As more people experience social isolation, many are turning to virtual companions for conversation, emotional support, and a sense of connection.
A 2024 survey by the American Psychiatric Association found that 30% of adults aged 18 to 34 reported feeling lonely every day or several times a week. Recognizing the widespread impact of social isolation, the World Health Organization (WHO) identified loneliness as a major global health concern in 2023. As demand for digital companionship continues to increase, ARK Invest estimates that the AI companion market could grow nearly 5,000-fold between 2023 and 2030.
Research on Virtual Companions and Loneliness
Research suggests that virtual companions can provide short-term emotional benefits. A study conducted by researchers from Harvard Business School, The Wharton School, and Bilkent University found that a 15-minute conversation with an AI chatbot reduced feelings of loneliness by an amount similar to a brief conversation with another person.
However, researchers also caution that long-term use may have drawbacks. A study from Aalto University found that frequent use of virtual companion apps may be linked to greater psychological distress and reduced engagement in real-world relationships.
Conclusion
The history of virtual companions shows how much artificial intelligence has changed over the last 60 years. It began with simple chatbots like ELIZA, which could only respond using basic rules, and has grown into advanced platforms such as Character.AI and Replika that can hold natural, personalized conversations.
What began as a research project has become a global industry used by millions of people for communication, entertainment, and emotional support. As AI technology continues to improve, virtual companions are likely to become an even bigger part of everyday life.
The growing popularity of virtual companions brings important challenges related to privacy, ethics, user safety, and the impact of AI on human relationships. The journey of AI companions is far from over, and the next generation of innovations will continue to shape how people interact with artificial intelligence.