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गेमिंग में कन्वर्सेशनल AI की भूमिका

ElevenLabs का कन्वर्सेशनल AI गेमिंग को बदल रहा है, जिससे डायनामिक NPC इंटरैक्शन और इमर्सिव स्टोरीटेलिंग संभव हो रही है।

A young man sitting on the floor, holding a game controller, illuminated by colorful neon lighting.

गेमिंग बदल रहा है — और आवाज़ इसमें अग्रणी भूमिका निभा रही है। वर्षों से, गेम की दुनिया स्क्रिप्टेड डायलॉग और पहले से सेट NPC इंटरैक्शन पर निर्भर रही है, लेकिन कन्वर्सेशनल AI इन सीमाओं को तोड़ रहा है, जिससे पात्र अधिक प्रतिक्रियाशील, इमर्सिव और जीवंत बन रहे हैं।

AI-संचालित पात्र अब स्क्रिप्टेड पथों तक सीमित नहीं हैं — वे अब खिलाड़ी की पसंद के अनुसार वास्तविक समय में प्रतिक्रिया देते हैं, कहानी कहने को नया रूप देते हैं और खिलाड़ी के नियंत्रण को बढ़ाते हैं। प्रमुख डेवलपर पहले से ही इस तकनीक को एकीकृत कर रहे हैं, NPC डायलॉग को बेहतर बना रहे हैं और AI-संचालित साथी बना रहे हैं जो वास्तव में जीवंत महसूस होते हैं।

कॉलम को लें, एक विज़ार्ड AI एजेंट जो ElevenLabs कन्वर्सेशनल AI के साथ बनाया गया है। वह एक डंजियन मास्टर के रूप में सेवा कर सकता है, इन-गेम एक्सपोज़िशन दे सकता है, या यहां तक कि खिलाड़ियों को कठिन पहेलियों के माध्यम से मार्गदर्शन कर सकता है। ऐसे AI के साथ, यह देखना आसान है कि कन्वर्सेशनल एजेंट कैसे गेमिंग में सहजता से शामिल हो सकते हैं, NPCs को आकर्षक, गतिशील साथी बना सकते हैं।

कन्वर्सेशनल वॉइस AI के साथ मीडिया को नया रूप देना

गेमिंग से लेकर स्ट्रीमिंग तक, मीडिया का भविष्य आवाज़ द्वारा संचालित है। दर्शक तेजी से इमर्सिव, वास्तविक समय के अनुभवों की तलाश कर रहे हैं जो निर्माता और उपभोक्ता के बीच की रेखा को धुंधला कर देते हैं।

कन्वर्सेशनल वॉइस AI पहले से ही इस बदलाव की एक प्रमुख विशेषता साबित हो रहा है और यह एक ऐसी तकनीक है जो उपभोक्ताओं के लिए आम हो गई है, क्योंकि हम जिन स्मार्ट डिवाइस का उपयोग करते हैं, उनमें अब व्यक्तिगतकरण और इंटरैक्टिविटी की अपेक्षा की जाती है। हालांकि, जब गेमिंग की बात आती है, तो हम अभी तक कन्वर्सेशनल वॉइस AI तकनीक का पूरी तरह से एकीकृत अनुप्रयोग नहीं देख पाए हैं — यह आश्चर्यजनक है, क्योंकि यह एक मीडिया के रूप में इसकी अंतर्निहित इंटरैक्टिविटी और समृद्ध कहानी कहने के लिए इतना महत्वपूर्ण है।

ये कारक गेमिंग के लिए वॉइस AI को एक प्राकृतिक फिट बनाते हैं। प्रमुख डेवलपर्स द्वारा अपनाया जा रहा है, लेकिन चुनौतियाँ बनी हुई हैं। चुनौतियाँ जैसे लेटेंसी, लागत और कथा संगति प्रमुख बाधाएँ हैं, लेकिन चल रहे विकास इन अंतरालों को धीरे-धीरे पाट रहे हैं।

इन चुनौतियों के बावजूद, संकेत स्पष्ट हैं: कन्वर्सेशनल वॉइस AI गेमिंग अनुभवों के लिए अपेक्षाएँ बदलने के लिए तैयार है। जैसे-जैसे इसके अनुप्रयोग बढ़ते हैं, यह न केवल यह परिभाषित कर रहा है कि हम कैसे खेलते हैं बल्कि यह भी कि हम कहानियों, पात्रों और दुनियाओं के साथ कैसे जुड़ते हैं।

एक बढ़ता हुआ बाजार: मीडिया और मनोरंजन में कन्वर्सेशनल AI

Diagram showing various AI development platforms, game studios, real-time AI engines, voice AI innovators, NPC and character AI engines, and community platforms.

कन्वर्सेशनल AI बाजार तेजी से बढ़ रहा है। वैश्विक स्तर पर, यह 2024 में $13.2 बिलियन से बढ़कर 2030 तक $49.9 बिलियन तक पहुंचने की उम्मीद है, क्योंकि इंटरैक्टिव तकनीकें अधिक मुख्यधारा बन रही हैं। मीडिया और मनोरंजन क्षेत्र के भीतर, AI अनुप्रयोगों के 17.5% वार्षिक दर से बढ़ने की उम्मीद है, जो 2024 में $10.24 बिलियन और 2034 तक $51.37 बिलियन तक पहुंच जाएगा।

यह उछाल अधिक व्यक्तिगत अनुभवों, स्मार्ट सिफारिशों और दर्शकों को जोड़ने के गतिशील तरीकों की मांग से प्रेरित है — और गेमिंग इसका अपवाद नहीं है।

गेमिंग उद्योग पर AI का प्रभाव महत्वपूर्ण है। AI के 2024 के अंत तक गेमिंग उद्योग में $3.1 बिलियन राजस्व वृद्धि में योगदान करने का अनुमान है, और कन्वर्सेशनल वॉइस AI इस क्षेत्र को आकार देने वाले सबसे परिभाषित रुझानों में से एक के रूप में उभर रहा है। इसके अलावा, 70% गेम डेवलपर्स AI को अगली पीढ़ी के वीडियो गेम के लिए आवश्यक मानते हैं, जो भविष्य के गेमप्ले अनुभवों में इसकी केंद्रीय भूमिका को रेखांकित करता है। और जबकि सभी डेवलपर्स वर्तमान में कन्वर्सेशनल वॉइस AI पर अपना शोध नहीं कर रहे हैं, हम भविष्यवाणी करते हैं कि जो डेवलपर्स इसे सही तरीके से लागू करेंगे, वे बढ़ी हुई खिलाड़ी प्रतिधारण और संतुष्टि के माध्यम से आगे बढ़ेंगे।

उपयोग के मामले

इसे ध्यान में रखते हुए, यह स्पष्ट है कि कन्वर्सेशनल वॉइस AI पहले से ही कई विकास स्टूडियो की योजनाओं का एक मजबूत हिस्सा है — और हम इसके ओपन-वर्ल्ड गेम्स, मल्टीप्लेयर समुदायों और इन-गेम ट्यूटोरियल्स में इसके अनुप्रयोग की विशाल क्षमता देखते हैं।

NPC इंटरैक्शन और साथी को बढ़ाना

गेमिंग नवाचार के अग्रणी मोर्चे पर, स्टूडियो पहले से ही गैर-खिलाड़ी पात्रों (NPCs) के साथ इंटरैक्शन को बढ़ाने के लिए कन्वर्सेशनल वॉइस AI को लागू कर रहे हैं।

एक उत्कृष्ट उदाहरण है Inworld AI, जिसका Unreal Engine 5 प्लगइन प्रेरणादायक NPCs बनाने के लिए एक शक्तिशाली टूलकिट प्रदान करता है, जिनके पास प्रेरणाएँ, लक्ष्य और अद्वितीय बैकस्टोरी होती हैं। Inworld का कॉन्टेक्स्चुअल मेष सुनिश्चित करता है कि पात्र गेम की दुनिया के प्रति सच्चे रहें, जबकि इसका कैरेक्टर ब्रेन फीचर यथार्थवादी प्रदर्शन को प्रेरित करता है, जिससे भावनाएँ आवाज़ के स्वर, एनिमेशन और चेहरे के भावों को प्रभावित करती हैं। डेवलपर्स यहां तक कि खिलाड़ी प्रोफाइल, रिश्तों और पात्रों के लक्ष्यों को गेमप्ले लूप्स में एकीकृत कर सकते हैं, नए यांत्रिकी और अधिक इमर्सिव कहानी कहने के अवसरों को अनलॉक कर सकते हैं।

$500 मिलियन के मूल्यांकन और महत्वपूर्ण फंडिंग के साथ, Inworld तेजी से इस क्षेत्र में एक नेता के रूप में स्थापित हो रहा है।

दूसरी ओर, इलेक्ट्रॉनिक आर्ट्स (EA) अपने SEED (सर्च फॉर एक्स्ट्राऑर्डिनरी एक्सपीरियंस डिवीजन) के माध्यम से AI के माध्यम से NPC व्यवहार को ऊंचा करने का पता लगा रहा है, जुड़ाव के लिए नए मानक स्थापित कर रहा है। इस बीच, Nvidia का अवतार क्लाउड इंजन (ACE) AI-संचालित पात्रों को शक्ति प्रदान करता है, जो प्राकृतिक, कन्वर्सेशनल इंटरैक्शन को सक्षम करता है जो पारंपरिक 'नैरेटिव ब्रांच' सिस्टम की सीमाओं से परे जाते हैं। जैसा कि Nvidia के जॉन स्पिट्जर कहते हैं, उनका उद्देश्य

Ubisoft’s NEO NPC Project leverages Nvidia's Audio2Face and Inworld's Large Language Model to create NPCs that respond authentically to player choices while staying deeply tied to game lore. The result is dialogue that feels both spontaneous and consistent with the narrative.In this case, Ubisoft’s designers have crafted backstories and personalities to ensure that NPCs maintain a level of authenticity that stays true to the gameplay. What’s more, as seen in the below demo video, players can actively build relationships with the NPCs they encounter through the nature and tone of conversation, which in turn impacts how the narrative unfolds. Ubisoft have also also been careful to add filters for player toxicity and mechanisms to keep interactions within the narrative's scope.

For studios not yet ready to dive fully into conversational voice AI, there are ways to begin exploring the possibilities with less commitment. One common first step is leveraging Text-to-Speech (TTS) technology to create “scratch” dialogue for testing character interactions before recording with voice actors. This approach not only streamlines early-stage development but also allows for rapid iteration. As studios grow more comfortable with the technology, they may transition to using TTS for entire character voice overs, handling everything from initial creation to final implementation.

Conversational voice AI is making NPCs more dynamic and responsive, allowing studios to create richer interactions that feel more lifelike.

Unique narratives, time and time again

It’s clear, then, how conversational voice AI can expand the narrative potential of gaming, offering stories that evolve in unexpected directions based on player decisions.=

This is especially powerful in open-world games like Bethesda’s Fallout series or Rockstar’s Red Dead Redemption and Grand Theft Auto. These titles, known for their deep storytelling and rich environments, already allow early decisions to shape later outcomes. By integrating conversational AI, developers can add new layers of interactivity - unlocking unique dialogue, hidden easter eggs, and dynamic storylines with every replay.

For studios, of course, this means greater replayability and an extension of game lifecycles that for the aforementioned titles, already span a decade. Players are encouraged to return, exploring missed opportunities and fresh outcomes, creating a win-win for both engagement and profitability.

The challenge, of course, is scale. Open-world games are already vast undertakings, and incorporating conversational AI requires developers to design even more diverse outcomes. Yet, as the technology matures, we expect that the ability to enrich gameplay will make these efforts well worth the investment.

Community

For many players, community sits at the heart of their gaming experience. The explosion of platforms like Twitch, and to a lesser extent Discord, illustrate this perfectly — in 2024 so far, Twitch has received over 17.1 billion monthly visits, with around 6.91 million active streamers and nearly 56,531,804 hours of content daily — figures that highlight its immense reach and relevance as a hub for gaming communities.

Even beyond gaming, this communal ethos has influenced how brands and companies approach their strategies, with many now prioritizing the cultivation of authentic, organic communities at the core of their identity and marketing. Conversational voice AI has the potential to enhance these spaces, adding a new layer of interactivity and engagement that complements existing dynamics.

Take ai_licia, for example. Designed specifically for Twitch and Discord, ai_licia acts as an AI co-host, enriching live streams with entertaining and personalized interactions. Its seamless integration with Twitch allows it to match the tone and personality of a typical community member, making interactions feel natural and relevant.

Powered by ElevenLabs, ai_licia is customizable to align with each community’s culture and preferred games. Its cross-platform memory sets it apart, enabling it to recognize and remember users across sessions, fostering a sense of belonging. Beyond engagement, ai_licia can also streamline onboarding for new members, ensuring they quickly find their place within the community.

While still in its early stages, conversational AI tools like ai_licia demonstrate the immense potential for reshaping gaming communities. By fostering stronger bonds, improving retention, and encouraging deeper connections, conversational voice AI is set to redefine how players and fans interact in gaming’s most vibrant spaces.

Training and tutorials: elevating in-game guidance

Chess.com Gives Their Virtual Chess Teacher a Voice

Chess.com & ElevenLabs Partnership

Chess.com, founded in 2007, has long been dedicated to serving the global chess community by offering innovative tools for playing, connecting, and learning online. One of their top learning apps, Learn Chess with Dr. Wolf, features an interactive virtual chess teacher who adapts to users' abilities, providing personalized guidance to help them improve their game.

Initially, Dr. Wolf offered only text-based commentary. However, after receiving user feedback highlighting the need for audio guidance—particularly to assist younger players struggling with reading—the Chess.com team recognized the potential to enhance the learning experience by adding a voice component. To achieve this, they partnered with ElevenLabs to find a voice that was both authoritative and warm, maintaining the personal touch of a seasoned chess coach.

The integration of ElevenLabs' voice technology has been met with overwhelmingly positive responses. Users have noted that audio guidance allows them to keep their eyes on the chessboard, leading to a more natural and effective learning process. As Gabe Jacobs, the product manager on the Dr. Wolf team, stated:

"The introduction of a voice for Dr. Wolf has transformed our app. It's not just a feature—it’s brought a whole new dimension to learning chess online."
— Gabe Jacobs, Product Manager, Dr. Wolf Team

One of the clearest opportunities for conversational voice AI lies in in-game tutorials. By enabling dynamic voice interactions, developers can make learning more engaging and accessible for players.

Chess.com provides a perfect example. Their Dr. Wolf tutor was already popular as a text-based tool for helping players refine their chess skills. To take this further, Chess.com partnered with ElevenLabs to give Dr. Wolf a warm, authoritative voice. The result? A more immersive and intuitive experience that’s helped over 100 million users - especially younger learners - engage more naturally with the app.

For developers, this success highlights a key takeaway: conversational voice AI isn’t just a feature. It’s a way to deepen player engagement, improve retention, and create a more intuitive user experience.

Challenges

While we see conversational voice AI as a natural evolution for enriching in-game experiences — and with significant investment from major players — the path to full integration isn’t without its hurdles. For conversational AI to truly revolutionise gaming, several challenges require attention. 

Latency: the need for real-time interaction

Seamless interaction is critical for keeping players immersed, but latency remains a major hurdle. Players expect natural, real-time dialogue, yet current technologies often struggle to deliver this. Large Language Models (LLMs) like GPT-3 can take 3–15 seconds to respond, far exceeding the ideal 200–800 millisecond window for human-like exchanges. These delays are to be expected but ultimately take away from immersion, and break the flow of gameplay for users.

Voice-based AI adds further complexity, with the speech-to-speech process (recognition, response generation, and delivery) introducing additional delays. Technologies like edge computing, which process data closer to players, are helping to reduce response times. We’re continuing to drive down the latency of our text to speech to as low as 200 ms for generation and network time. 

Maintaining narrative consistency

Branching storylines are one of gaming’s most compelling features, but they also present challenges. Conversational AI must adapt to player decisions while keeping the story coherent, a task complicated by memory limitations in current models, which can lose track of key narrative details.

Developers are addressing this by building systems to track essential story elements, ensuring interactions remain consistent and aligned with the game’s plot. They’re also using player feedback to refine AI responses and ensure the technology enhances rather than disrupts the narrative. Advances in real-time processing are allowing games to adapt dynamically to player choices, helping conversational AI integrate more naturally into complex storylines.

Cost

Paradox Interactive Speeds Up Voiceovers with ElevenLabs

Paradox Interactive & ElevenLabs Partnership

Paradox Interactive, the renowned Swedish game developer behind titles like Stellaris and Crusader Kings III, has partnered with ElevenLabs to integrate advanced voice technology into their game development process. This collaboration aims to streamline voice generation, reducing production time and costs.

Incorporating ElevenLabs' generative AI technology offers Paradox several benefits, including efficient iteration during pre-production, cost savings on extensive dialogues, flexible localization for global markets, enhanced accessibility for visually impaired players, and the ability to explore new narratives and expansions with ease.

Ernesto Lopez, Audio Director for Stellaris and Crusader Kings III, expressed enthusiasm about the partnership:

"We’re incredibly pleased with the results from the ElevenLabs platform. The samples created by their contextually aware engine have exceeded our expectations, inspiring us to push the limits of our projects and imagine more intricate and richer voice-over designs for our games."
— Ernesto Lopez, Audio Director, Paradox Interactive

One of the biggest hurdles for developers is the cost of wide-scale implementation of conversational voice AI. Game development is already a significant financial undertaking, spanning years and requiring substantial investment. Take Grand Theft Auto VI, for example - despite the release of its first trailer in December 2023, its launch date remains unknown, marking over a decade since the release of GTA V. The production of such blockbuster titles involves mammoth costs, underscoring the financial pressures studios face before they even bring a game to market.

Games typically retail for $60–$70, with optional expansion packs or in-game purchases often extending their lifecycle. For titles like GTA V, these add-ons are embraced by players and provide studios with additional revenue streams without significantly altering the upfront cost of the base game. However, implementing conversational AI would introduce not only higher production costs but also ongoing expenses tied to running LLMs as players engage with the game. These increased costs could push studios to either absorb the expense or pass it on to consumers through higher price points.

Yet, this challenge presents an opportunity. Studios could explore new pricing models, such as subscriptions or tiered AI features, to balance development costs and player access. With the right approach, developers can turn AI-driven features into a sustainable revenue stream.

Gamer buy-in

As with many AI innovations, the ultimate success of conversational AI in gaming depends on one critical factor: gamer buy-in. While this technology offers immense potential, it’s likely to face resistance from some players—particularly gaming purists who view AI’s presence as an unwelcome shift that could undermine a game’s authenticity.

This skepticism isn’t unfounded, as past attempts to implement AI into games have occasionally backfired. For example, Keywords Studios’ Project Ava, which aimed to create a 2D game entirely using AI, failed because the technology fell short of replacing human talent and required intervention from seven separate game development studios to rectify. Similarly, Microsoft’s Copilot+ PCs, designed for AI-powered gaming, encountered significant compatibility issues - only half of the 1,300 tested PC games functioned without errors, with popular titles like Fortnite, League of Legends, and Halo Infinite experiencing crashes and startup problems. These missteps underscore the risks of poorly integrated AI systems, which can alienate players and disrupt the gaming experience.

When implemented well, conversational AI can create richer gameplay narratives, enhancing both single-player and community-driven experiences. For this to succeed at scale, AI must go beyond being a gimmick or afterthought - it needs to genuinely enhance the game’s storytelling, interactivity, and immersion. Players will buy in when they see that conversational AI adds meaningful value, creating richer, more engaging experiences without compromising the authenticity they’ve come to expect.

Looking ahead

Line graph showing AI-driven gaming revenue growth from 2023 to 2033.

While challenges like latency, narrative consistency, and cost are real, they’re far from insurmountable. With ongoing innovation in response times and branching narrative capabilities, conversational voice AI is poised to deliver seamless, immersive experiences that redefine gaming.

Beyond gameplay, this technology represents a significant opportunity for studios to enhance player retention and drive ROI through richer narratives, dynamic interactions, and stronger community engagement. Unlike generative AI, conversational voice AI layers naturally onto existing game worlds, enriching the experience without disrupting established stories or mechanics.

At ElevenLabs, we’re proud to help developers bring lifelike characters and meaningful interactions to life. The potential of conversational voice AI to transform not just gaming but all media is immense—and we’re excited to shape this evolution.

Conversational voice AI is no longer just an emerging technology—it’s here, and the time to adopt it is now. By unlocking new possibilities for immersive, personalized, and interactive experiences, it’s redefining how players engage with games and communities.

While challenges exist, innovative solutions are bridging the gap, making conversational voice AI both feasible and ROI-positive. At ElevenLabs, we see this technology as a transformative force and are proud to be at the forefront, helping developers create richer, more dynamic experiences. The future of gaming is conversational, and we’re just getting started.

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