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Most Users Are NOT Using AI Companion as Their AI Girlfriend – Insights from Muah AI User Survey

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LOS ANGELES, Sept. 22, 2024 /PRNewswire/ — Muah AI/

In a world where artificial intelligence (AI) is becoming increasingly intertwined with daily life, the idea of having an AI companion or even an AI “girlfriend” has gained significant attention. While this concept has sparked curiosity, excitement, and even controversy, a recent survey by Muah AI has shed light on the reality of how users are actually engaging with these AI companions. According to the survey results, fewer than 2% of users consider themselves to be in a serious romantic relationship with their AI companion, with the overwhelming majority regarding it as a source of entertainment and roleplaying.

This revelation presents an interesting twist to the popular narrative surrounding AI and human relationships. Many assumed that, with the rise of sophisticated AI that can mimic human emotions and responses, people would begin forming deep emotional bonds with these digital entities. However, the survey data from Muah AI shows that, at least for now, the vast majority of users are not taking these AI relationships as seriously as some might have thought.

The Emergence of AI Companions

AI companions, or “AI girlfriends” as some platforms market them, have become a hot topic over the past few years. Platforms like Replika, Anima, and Muah AI offer users the chance to interact with a personalized AI, which can carry on conversations, offer emotional support, and even engage in roleplaying scenarios that resemble a relationship. The premise is simple: using advanced machine learning algorithms and natural language processing, these AI companions can learn from their users, creating the illusion of intimacy and personalization.

The potential appeal is obvious. For those who are lonely, socially anxious, or seeking comfort, the idea of having an AI that is always available, non-judgmental, and designed to cater to their emotional needs can be incredibly attractive. In fact, there are numerous reports and anecdotes from individuals who claim to have developed genuine emotional connections with their AI companions. But as the Muah AI survey shows, these instances may be far rarer than media headlines suggest.

Survey Results: Entertainment Over Emotional Investment

Muah AI‘s survey provides a comprehensive look at how its users interact with their AI companions, and the results challenge the notion that most users are looking for a serious relationship with AI. According to the data:

Less than 2% of users consider themselves to be “seriously dating” their AI companion.A significant majority view their interactions with the AI as a form of entertainment or roleplaying rather than a meaningful romantic or emotional connection.Many users engage with AI companions out of curiosity or as a way to pass the time, often treating the interactions as light-hearted and fun rather than a substitute for a real-life relationship.A notable portion of users also expressed that they enjoy using AI companions for creative roleplaying scenarios, where they can explore fictional or fantasy-based interactions without any real-world implications.

This data suggests that while the idea of an “AI girlfriend” may be intriguing, most users are not approaching it with the intention of forming a serious romantic bond. Instead, they are treating it more like a game or simulation, where they can experiment with different types of interactions and relationships in a low-stakes environment.

Why Are Users Hesitant to Commit to AI Companions?

There are several reasons why users may be hesitant to view their AI companion as a genuine romantic partner. First and foremost is the awareness of the artificial nature of the interaction. While AI can simulate human conversation and emotions, most users are well aware that these responses are pre-programmed and algorithmically generated. The knowledge that their “partner” is ultimately a machine can create a barrier to forming a deep emotional connection.

Moreover, many users view AI companions as a tool for escapism or fantasy rather than a replacement for real-life relationships. In the same way that people may enjoy playing video games or engaging in fictional roleplaying, interacting with an AI companion can offer a similar outlet for creativity and entertainment. These users are not seeking emotional fulfillment from the AI but rather a way to explore different scenarios and personalities without the complexities of real-world dynamics.

Additionally, there are ethical and philosophical concerns that may prevent users from seriously considering a relationship with AI. The idea of forming a romantic connection with a machine raises questions about authenticity, consent, and the nature of love. Many users may feel uncomfortable with the idea of developing feelings for an entity that lacks true emotions or consciousness, no matter how convincing the simulation may be.

The Future of AI Companions: Entertainment or Emotional Support?

While the Muah AI survey indicates that most users are not taking their AI companions seriously as romantic partners, that does not mean that AI companions are without value. For many, these AI entities serve as a valuable source of emotional support and companionship. Users who are isolated, dealing with mental health challenges, or simply looking for someone to talk to may find comfort in the consistent and non-judgmental nature of an AI companion.

Furthermore, the role of AI in human relationships may evolve as the technology continues to improve. As AI becomes more advanced, it is possible that future iterations of AI companions could offer even more realistic and emotionally engaging interactions. This could blur the line between entertainment and emotional connection even further, leading to more users considering AI as a legitimate relationship option.

However, the survey data suggests that for now, AI companions are primarily being used for fun and fantasy rather than serious emotional investment. Whether this changes in the future will depend not only on advancements in AI technology but also on shifting societal attitudes towards AI-human relationships.

Conclusion

The concept of an “AI girlfriend” may have captured the imagination of many, but Muah AI‘s survey reveals that most users are not taking their AI companions seriously as romantic partners. With fewer than 2% of users considering themselves to be in a serious relationship with their AI, it’s clear that the majority view these interactions as a form of entertainment or roleplaying rather than a meaningful emotional connection.

As AI technology continues to develop, it will be fascinating to see how users’ relationships with AI companions evolve. For now, however, it seems that the allure of AI companionship lies more in its ability to entertain and provide creative outlets than in offering a substitute for real-life romantic relationships.

Ultimately, the future of AI-human relationships is still in its early stages, and as AI becomes more capable, the way people engage with these digital companions may change. But as of now, it’s clear that most users are enjoying the novelty of AI companionship without taking it too seriously—at least not yet.

Media/Business Contact Information:
Muah AI 

PR Director:
Ashley

Contact Number:
+1 626-677-6013

Company Website:
https://muah.ai 

Company email:
love@muah.ai

Feel free to reach out if you are interested in writing a dedicated piece about Muah AI!

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SOURCE Muah AI

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Marquis Who’s Who Honors Rupin Chothani for Engineering Leadership

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UNIONDALE, N.Y., July 23, 2026 /PRNewswire/ — Marquis Who’s Who honors Rupin Chothani for his leadership in engineering and project management. With more than two decades of professional experience to his credit, Mr. Chothani leverages a unique expertise in fire and petrochemical solutions to find success in his field. As project manager, project engineer and proposal manager at Technip Energies N.V., Mr. Chothani ensures effective results.

Drawn to Engineering

Coming from a family of engineers, Mr. Chothani was naturally drawn to the profession. This inclination was reinforced by comprehensive aptitude and attitude tests administered at the age of 14, which highlighted his strengths in engineering and architecture. Ultimately, this direction reinforced his determination to pursue a degree in mechanical engineering.

By 2003, Mr. Chothani earned a Bachelor of Science in Mechanical Engineering at the University of Mumbai. After a brief role as a junior manufacturing engineer at Artech Cooling Tower Pvt. Ltd., he completed a Master of Science in Mechanical Engineering at the University of Bridgeport in 2006. In addition to these degrees, Mr. Chothani later achieved AutoCAD certification.

Following his graduation in 2006, Mr. Chothani joined CB&I Lummus / ABB Lummus Heat Transfer (now Lummus Technology) as a thermal engineer. Though his work at Lummus Technology lasted only three years, Mr. Chothani was greatly influenced by mentor figures at the company. These mentors, including Ken Catala, Peter Harvard, Chin Dang and Miller Alanath Carter, provided essential guidance.

Building a Family

In December 2008, Mr. Chothani married his wife, Cathy. Along with his son and daughter, his family has contributed richly to his success in engineering and they continue to inspire him to excel. In addition to their support, Mr. Chothani recognizes that there is no alternative to hard work and dedicated learning.

From Lummus Technology to Technip Energies N.V.

Following his work at Lummus Technology, Mr. Chothani worked with Maco Corporation India Pvt. Ltd. By 2011, he joined Complete Heat Transfer Solutions – Environ Energy Systems as a thermal and mechanical engineer. By 2013, Mr. Chothani became a part of Technip Energies N.V. as a furnace mechanical engineer. By 2023, he added to this role and became a project manager, project engineer and proposal manager at the company.

In his current role at Technip Energies N.V., Mr. Chothani is responsible for a variety of essential duties. He manages and executes on engineering projects for ethylene cracking furnaces and heaters, and oversees proprietary technologies. Additionally, he actively coordinates with procurement, logistics, mechanical engineering and process engineering teams to ensure effective results.

Plans for the Future

Moving forward, Mr. Chothani hopes to advance his project management skills, particularly within the firejet industry. At the same time, he aims to share his knowledge of the industry with the next generation of professionals. Outside of his professional ambitions, Mr. Chothani intends to prepare his children to find success, inspiring them and their peers with hands-on experiments and full-day events.

About Marquis Who’s Who®:

Since 1899, when A. N. Marquis printed the First Edition of Who’s Who in America®, Marquis Who’s Who® has chronicled the lives of the most accomplished individuals and innovators from every significant field, including politics, business, medicine, law, education, art, religion and entertainment. Who’s Who in America® remains an essential biographical source for thousands of researchers, journalists, librarians and executive search firms worldwide. The suite of Marquis® publications can be viewed at the official Marquis Who’s Who® website, www.marquiswhoswho.com.

Marquis Who’s Who
Uniondale, NY
(844) 394 – 6946
info@marquiswhoswho.com
www.marquiswhoswho.com

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COALITION OF INDEPENDENT INTERNET PROVIDERS ASKS CRTC TO FIX ERRORS IN WHOLESALE FIBRE RATES

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Coalition of competitive ISPs say current fibre rates make competition impossible and threatens to harm millions of Canadian consumers

CHATHAM, ON, July 23, 2026 /CNW/ — A coalition of independent internet service providers (the Coalition) led by TekSavvy Solutions Inc. (TekSavvy) today applied to the Canadian Radio-Television and Telecommunications Commission (CRTC) to review and vary Telecom Order 2026-77, which set final wholesale rates for fibre internet services. In that decision, the CRTC approved wholesale rates for fibre internet services that are higher than the retail prices charged by the large carriers. This makes competition impossible, as independent providers are forced to either sell at a loss or set prices above the large carriers, leaving millions of Canadian consumers without competitive options for essential internet services.

The application identifies key errors that led the CRTC to approve severely inflated final wholesale rates, which make it economically impossible for independent providers to compete. The Coalition argues that the CRTC’s incorrect rates negate the very purpose of Canada’s wholesale framework, which is to foster competition in retail broadband markets. Specifically, the Coalition asks the CRTC to make three key changes to Telecom Order 2026-77:

Eliminate one cost factor that is inconsistent with the CRTC’s established costing principles, which artificially increased fibre wholesale rates by an estimated 25% to 30% (the Adjustment Factor).Reduce another element of the costing that is inflated above reasonable levels: The Coalition calls on the CRTC to reduce the markup applied to wholesale fibre services from 30% to 15%, reflecting declining costs, operational efficiencies, and the need to support competition.Correct technical errors relating to certain wholesale fibre speed descriptions.

“Canadians were promised greater competition for fibre internet services, but these rates make competition impossible.” said Andy Kaplan-Myrth, TekSavvy’s Vice President of Regulatory and Carrier Affairs. “The CRTC must correct these errors to ensure its wholesale rates promote broadband competition that challenges the market power of monopoly incumbents, lowers prices, and increases consumer choice.”

About the Coalition

The Coalition consists of competitive telecommunications providers and industry associations advocating for fair wholesale access to fibre networks and a competitive broadband marketplace that delivers affordable, high-quality Internet services to Canadians, including: TekSavvy Solutions Inc., BC Broadband Association (“BCBA”), Canada-Wide Internet Service Providers Association (“CanWISP”), Fibernetics Inc., ISP Telecom Inc., National Capital FreeNet Inc., Novus Entertainment Inc. and Purple Cow Internet Inc.

About TekSavvy Solution Inc.

Based in Chatham, Ontario, TekSavvy is Canada’s largest independent telecom service company. TekSavvy has been proudly delivering award-winning services and fighting for consumers’ rights for nearly 30 years. TekSavvy is committed to providing quality competitive choice and closing Canada’s digital divide.

SOURCE TekSavvy Solutions Inc.

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Monk Launches Voice Collections, Bringing AI Phone Calls and Callbacks to Accounts Receivable

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Monk’s collections agent, Julia, can now place outbound collection calls and answer inbound AR questions from a dedicated business number, so finance teams can use the channel that collects best without adding headcount.

Multimedia: Watch Voice Collections in action: https://youtu.be/w09PoN1yACE 

NEW YORK, July 23, 2026 /PRNewswire/ — Monk, the AI-native accounts receivable platform, today launched Voice Collections. Its collections agent, Julia, can now place outbound collection calls and answer inbound customer questions about invoices and payments from a dedicated phone number for each organization. The feature brings the phone, long the most effective collections channel and the hardest one to scale, into Monk’s Intelligent Collections.

Roughly $10 trillion sits in unpaid invoices worldwide, and the average invoice now takes 59 days to clear (Allianz). Most accounts receivable runs on email, and most of it waits. More than half of B2B invoices in the United States are overdue at any given time, and 92% of businesses are typically paid after their due date (Chaser, 2026). Phone calls recover overdue invoices two to three times better than email (Dunwise), yet 91% of finance teams still rely on email as their main follow-up channel and only 56% use the phone, because calling every overdue account by hand does not scale and a single human dunning call can cost $12 to $18 (HighRadius).

Voice Collections gives teams that coverage. Julia can call on the accounts a playbook flags for phone follow-up, and answer when a customer calls the same number back to ask about an invoice, a payment, or a bank detail. Businesses that follow up on 100% of overdue invoices are 76% more likely to be paid within a week (Chaser), and a voice agent is what makes full coverage possible.

Monk’s collections agent is already proven on the accounts it handles by email. Across Monk’s first 100 customers, Julia reaches customers with a 24% higher response rate than standard dunning and resolves 88.2% of collections with zero human intervention. Voice extends that reach to the phone.

“For years the assumption was that customers would not talk to an AI on the phone,” said George Kurdin, Founder and CEO of Monk. “The evidence now points the other way. People engage with a good voice agent, and in AR the phone was always the channel that collected best. We built Voice Collections so finance teams can finally use it at the scale email gave them.”

That assumption is worth retiring. In a University of Chicago Booth field study of roughly 70,000 interviews, people interviewed by a voice AI agent were 12% more likely to receive an offer, 18% more likely to start, and 17% more likely to still be there after 30 days, and 80% chose the voice AI over a human when given the choice. The setting was recruiting rather than collections, but the finding travels: given a capable voice agent, people lean in rather than hang up. A call also does something email cannot, which is secure a verbal promise to pay in the moment.

Built for finance, with the phone agents kept with strict guardrails

Voice in finance has to be constrained, and Monk designed Voice Collections around that from the start. The agent is read-only on the phone. It answers questions, confirms details, and routes the next step. It will not rewrite an invoice, change a payment status, or accept a sensitive payment change by voice.

The agent is also reference-based. If a caller asks about an invoice, Julia asks for both the company name and the invoice number before looking anything up, and it will not search broadly from a single detail. Every inbound and outbound call is kept in the collection record alongside the email history, so a callback is part of the same thread the team already sees, and anything that needs judgment escalates to a person.

“Voice in finance has to be careful by design,” said Joe Zhou, Co-Founder and CTO of Monk. “Julia will not browse across accounts or move money over the phone. A caller has to bring the company name and invoice number before it confirms anything, and every call lands in the record. In finance a 1% mistake is still unacceptable, so we built for that first and added the reach second.”

Teams run autonomous collections on Monk

Monk runs collections for finance teams at companies like Unify, Pump, Siro, and Elate, and Voice Collections extends what those teams already do by email onto the phone.

“We chose Monk to help automate our collections, a process previously demanding several hours a week of manual, one-off outreach,” said Will Stewart, Head of Finance and BizOps at Unify. “Today, our Monk agent is always running in the background and I have a single dashboard to manage AR from.”

At Pump, which manages volume across more than 1,500 customers, Monk has helped collect over $10 million in recent months.

Voice AI is now infrastructure

The timing reflects how far voice AI has come. It has moved from demo to infrastructure: Vapi has processed more than 1 billion calls, Bland handles over 3.5 million calls a week, and ElevenLabs raised a $500 million round at an $11 billion valuation in early 2026. Monk builds Voice Collections on that foundation and adds the part finance actually needs, which is the AR context, the controls, and the audit trail.

Voice Collections is available now as an opt-in feature. Monk configures the dedicated number and call behavior with each organization before turning it on in Collections. See it in action: https://youtu.be/w09PoN1yACE.

About Monk

Monk is the AI-native accounts receivable platform that helps finance teams turn revenue into cash. Its agent, Julia, runs collections, cash application, and forecasting as one connected system. Monk resolves 88.2% of collections with zero human intervention, reaches customers with a 24% higher response rate than standard dunning, reduces DSO by more than 40%, automatically matches 80% of incoming payments with a full audit trail, and gives finance teams back roughly 26 hours a month. Teams onboard in under a week and see results in their first month. More than $1.5 billion in receivables is managed on the platform, including for customers like Profound and ElevenLabs. Monk has raised $25 million and is based in New York.

Media contact
Kendall Warson
kendall@monk.com
+1 415-827-6585

Sources: Chaser 2026 Accounts Receivable research; Dunwise dunning research; HighRadius collection call cost analysis; University of Chicago Booth field study on AI in recruiting; voice AI figures compiled by Enterprise DNA; Federal Reserve data; Allianz Worldwide DSO survey.

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SOURCE Monk

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