OpenAI's Surprise Drop: Now You Can Generate Images on WhatsApp with ChatGPT!

The world of technology is constantly evolving, and with each advancement comes an excitement that permeates through both consumer and industry circles. Recently, OpenAI introduced a revolutionary feature to ChatGPT, enabling users to generate images through WhatsApp. This feature can be accessed by sending a message to [1-800-ChatGPT](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but), effectively linking accounts to conveniently integrate artificial intelligence into everyday communication. The ability to prompt ChatGPT for image creation directly from a popular messaging platform is a testament to the growing fusion of AI with mobile technology [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

However, this new development has not gone unnoticed by competitors and critics alike. Perplexity AI, another key player in the AI landscape, has raised concerns about OpenAI's move, pointing out that MetaAI has been offering a similar image generation service on WhatsApp. This critique brings to light the increasing competition in the AI field, where companies continuously strive to outdo one another in the race for innovation [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

Public response to ChatGPT's new feature has been mixed, highlighting a range of opinions from enthusiastic adoption to critical skepticism. On social media, some users have shared their AI-generated images with enthusiasm, while others have expressed dissatisfaction over issues like image quality or redundancy, with critiques likening some creations to "slop" or noting a "yellowish tone" in the output [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but). These varied reactions underscore the subjective nature of art and AI's role in shaping modern creative expressions.

OpenAI's latest feature, which introduces image generation through ChatGPT on WhatsApp, marks a significant foray into the blending of conversational AI and creative visual tools. This functionality, available by simply messaging 1-800-ChatGPT and linking your account, signifies a leap in accessibility to AI-generated imagery within one of the world's most popular messaging platforms. However, this launch hasn't come without its share of controversy and competition. Notably, Perplexity AI, a competitor, has criticized this move by OpenAI, arguing that such capabilities have been present through MetaAI's offerings on WhatsApp for some time. Despite this, the feature's debut has indeed stirred a mixed reaction on social media, with some users expressing dissatisfaction regarding image quality and originality, while others embrace the newfound creative possibilities afforded by this technology. For more details about this launch, you can read the article on Mashable [here](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

The critical view from Perplexity AI stems from the perspective that OpenAI's introduction to image generation in WhatsApp lags behind existing solutions like MetaAI. They highlight that MetaAI has already established a robust presence with its text-to-image conversion, thus positioning OpenAI as a latecomer trying to catch up in a space where users are already attracted to other alternatives. This competitive landscape is further complicated by Google's advancements with its Gemini AI on Android and ongoing innovations from Midjourney and Stability AI, who focus on standalone image generation. The diverse ecosystem of image-generating AI raises questions about what distinguishes OpenAI's offering from others currently available.

Despite the criticisms, ChatGPT's integration with WhatsApp opens new pathways for expanding the reach and utility of AI-driven creative tools. By leveraging the widespread use of WhatsApp globally, OpenAI is strategically positioning itself to make AI-generated imagery more accessible to billions of users. This move can potentially democratize access to creative AI resources, enabling users across different demographics to explore and utilize AI art for personal and professional purposes. Nonetheless, as noted by CNET, the feature is not without its shortcomings, such as inconsistent image outputs and longer-than-desired generation times. These technical aspects could hinder widespread adoption unless addressed promptly.

The move to integrate ChatGPT's image generation into WhatsApp is a reflection of broader trends in AI and technology, where the integration of AI tools within everyday applications is becoming increasingly commonplace. It's a nod to the future where AI is expected to play a more integral role in communications and creative processes. However, as with many technological advancements, the rollout comes with ethical, technical, and practical hurdles that need careful navigation. The criticism and feedback from various corners suggest that while the potential for such technology is immense, its application and assimilation within existing digital ecosystems require thoughtful execution and management.

Perplexity AI's criticism of OpenAI's recent launch of an image generation feature for ChatGPT on WhatsApp highlights both competitive tensions and concerns about innovation in the rapidly evolving field of artificial intelligence. This critique draws attention to the growing overlap in the functionalities provided by tech giants, with Perplexity AI emphasizing that MetaAI already offers a similar text-to-image tool on the same platform. Such redundancy raises questions about the necessity and originality of OpenAI's latest offer. The perception that OpenAI's move is belated can be inferred from the existing availability of similar technologies, suggesting that the novelty factor is decreasing in AI-driven tools across digital platforms .

Social media reactions to the integration of image generation in ChatGPT reflect a spectrum of opinions, from enthusiasm to skepticism. Some users have actively shared the images produced via WhatsApp, while others have critiqued the quality, describing them as inconsistent or even redundant compared to other available options. The critique extends to discussions about the slower speed of image processing and the perceived lack of advancement in comparison to competitors. The introduction of this feature has sparked a broader dialogue about the underlying technology's impact on user experience and the balance between innovation and redundancy in AI developments .

The rise of AI features in widely-used communication platforms poses challenging implications for the competitive landscape. While OpenAI seeks to expand ChatGPT's capabilities by integrating image generation into WhatsApp, it faces stiff competition from companies like MetaAI and Google's Gemini AI, which are also enhancing their image generation technologies. Perplexity AI's vocal criticism is indicative of the competitive pressures in the AI sector, where distinguishing features and technological edge are crucial for gaining user favor. This environment not only emphasizes the need for innovation but also raises the stakes for maintaining user engagement through quality and efficiency .

Using the newly integrated image generation feature on ChatGPT via WhatsApp is a straightforward process. To begin exploring this innovative functionality, users simply need to send the message "Link my WhatsApp with ChatGPT" to the designated number 1-800-ChatGPT. Upon doing so, they receive a link that facilitates the smooth integration of their WhatsApp account with ChatGPT, allowing them to start generating images directly through the messaging app. This seamless connection not only enhances user experience but also positions WhatsApp as a more versatile platform for leveraging AI capabilities. [Read more about the integration process and benefits here](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

Despite its intuitive integration, the launch of ChatGPT's image generation feature on WhatsApp hasn't been without its controversies. Criticism from competitors like Perplexity AI highlights the perceived redundancy in this innovation, given WhatsApp's existing image generation tool powered by MetaAI. Such criticisms hint at a growing competitive landscape in AI technologies, where innovation is expected to push boundaries and deliver uniqueness, not just replicate what's already available. The debate around ChatGPT's entry serves as a poignant reminder of the fast-paced evolution in the tech industry and the constant pressure on companies to differentiate themselves. Further details on industry reactions can be [found here](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

The reception from the general public and social media reflects a mixed bag of reactions. While some users appreciate the novelty and accessibility of generating images via a familiar platform like WhatsApp, others have raised concerns about the image quality and questioned its necessity. Some images have been characterized as "slop," illustrating user dissatisfaction, yet this has not deterred enthusiasts from experimenting with this technology. The critiques, as well as the enthusiasm, underscore the broader conversation surrounding artificial intelligence and its integration into everyday tools. More opinions and user feedback are discussed in this [Mashable article](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

The debut of OpenAI's image generation feature via ChatGPT on WhatsApp has sparked a wave of reactions across social media platforms. This innovative integration allows users to simply message 1-800-ChatGPT to connect their ChatGPT account and begin generating images, yet it's faced both admiration and scrutiny. Critics, including Perplexity AI, argue that the feature comes late to the party as MetaAI had already introduced a similar tool on WhatsApp, thus questioning the novelty of OpenAI's offering.

Social media users are divided in their opinions regarding the newly rolled out feature. In many instances, individuals shared their creative outputs, demonstrating the tool's capability to craft vivid and imaginative images. However, others have not been as kind, pointing to issues such as the "amateurish" quality of some images and calling the outputs redundant amidst existing options. These reactions have been peppered with humor and sarcasm, highlighting the community's skepticism about the feature's groundbreaking potential.

In addition to technical feedback, social media discussions have also voiced concerns relevant to the ethical and economic dimensions of this feature. With increasing volumes of AI-generated content, users express fears over the potential redundancy of AI images and the erosion of artistic value. Moreover, as discussed in various forums, there are apprehensions about the depth of image quality, inconsistency, and long processing times, even as the feature is touted for expanding accessibility and reach on WhatsApp. The debate continues, reflecting the complex landscape into which AI image generation is being integrated.

The debate over whether AI tools like image generation features should be offered for free or as a subscription-based service is multifaceted. On one hand, offering such features for free can lower the barrier of entry, enabling more users to explore and experiment with the technology. This approach can democratize access to advanced AI tools, particularly benefiting artists, small businesses, and casual users who might not have the resources to pay for premium features. However, critics argue that without a subscription model, the sustainability of such services could be compromised, potentially leading to reduced quality and innovation over time as companies may struggle to fund ongoing development and maintenance. Offering a free version could also saturate the market with AI-generated content, which might negatively impact the perceived value of traditional art forms.

The introduction of AI-driven image generation into popular platforms like WhatsApp has stirred a mix of reactions from users and experts alike. A significant portion of the discourse centers around the quality of the images produced by ChatGPT's new feature. While some users praise the initiative for integrating advanced technology into a widely accessible app, others express dissatisfaction with the image quality, describing them as lacking detail and appearing "uncanny". This disparity in user experience may reflect broader inconsistencies in the AI's capability to render high-quality images, further complicated by technical drawbacks such as long generation times and a lack of advanced editing tools [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

In discussions about the quality of AI-generated images, it's crucial to consider the technological limitations that these systems often encounter. Current AI models, including the one used by ChatGPT, sometimes fail to capture intricate details or produce consistently high-quality outputs, which can be attributed to the algorithms and datasets they rely on. Such limitations become evident when users report issues like "yellowish tones" in images, hinting at the potential need for further refinement in AI image processing technologies [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

Another layer to the image quality debate involves the ethical and creative implications of deploying AI in image creation. The introduction of AI-generated images on platforms like WhatsApp might diminish the value and appreciation for original art forms, especially when the quality is perceived as subpar. Critics argue that this could result in a redundancy of artistic expression, where the accessibility of AI-generated visuals overshadows the artistry of human-created images. The debate raises questions about the balance between technological integration and the preservation of creative authenticity [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

Furthermore, the image generation capabilities of ChatGPT raise important considerations about user expectations. With companies like Google also experimenting with similar technologies through its Gemini AI, the competition in AI image generation is intensifying. This competition drives ongoing advancements, but also highlights the discrepancy between consumer expectations fueled by polished promotional images and the reality of everyday use. The initial phases of AI integration often involve trial and error, with image quality being a common area needing enhancement to meet user satisfaction [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

As we move closer to 2025, the landscape of customer communication is set to be revolutionized by AI technologies. A staggering 97% of businesses are planning to incorporate AI into their communication strategies, marking a significant shift from traditional methods [3](https://www.prnewswire.com/news-releases/97-of-businesses-to-use-ai-in-customer-communications-in-2025-but-are-consumers-ready-for-it-302482444.html). This transition is driven by the need for more efficient, responsive, and personalized customer interactions, capabilities that AI excels at delivering. By leveraging AI-driven communication tools, businesses can engage with customers in real-time, address queries more efficiently, and even predict customer needs through advanced analytics and machine learning.

AI's role in customer communication is not just about efficiency, but also about harnessing creativity to enhance user experience. For instance, the integration of AI image generation tools into platforms like WhatsApp is a glimpse into the future where visual communication becomes seamless and impactful [4](https://www.businessworld.in/article/openai-brings-chatgpt-image-generation-feature-to-whatsapp-560165). These tools enable businesses to create engaging visual content and automated replies that can enhance customer interaction. While some concerns persist regarding the quality of AI-generated images and the potential redundancy of such innovations, the ability to customize and instantaneously respond to customer needs is a powerful asset for modern businesses [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

The competitive landscape is constantly evolving as more companies enter the AI space with innovative solutions that cater to customer communication. Giants like Google are piloting similar technologies through initiatives like Gemini AI on Android, pushing the boundaries of what is possible in AI-driven communication [4](https://www.businessworld.in/article/openai-brings-chatgpt-image-generation-feature-to-whatsapp-560165). Meanwhile, specialized tools from companies like Midjourney and Stability AI focus solely on standalone image generation capabilities, indicating a growing market for niche AI solutions that enhance customer engagement.

However, while businesses eagerly adopt these advanced technologies, the question remains: are consumers ready for it? The answer is a nuanced one. While some users embrace the convenience and innovation of AI tools, others express concerns about privacy, accuracy, and the human touch that might be lost in AI-driven interactions. As AI technology continues to develop, it will be crucial for businesses to strike a balance between leveraging AI capabilities and maintaining a personal connection with their customers [3](https://www.prnewswire.com/news-releases/97-of-businesses-to-use-ai-in-customer-communications-in-2025-but-are-consumers-ready-for-it-302482444.html).

The competitive landscape of AI-driven image generation tools is rapidly evolving as tech giants like OpenAI and Google delve into integrating these features into popular platforms. OpenAI's recent debut of an image generation feature for ChatGPT on WhatsApp highlights its strategic move to widen accessibility, harnessing WhatsApp's vast user base. This feature allows users to link their WhatsApp accounts and generate images by merely sending a message to a designated number. While this expansion aims to democratize image creation, it faces criticism for its timing and quality. Perplexity AI has been vocal about this introduction, noting that MetaAI already offers a similar tool, thus pointing to a potential overlap and redundancy in features ().

Additionally, Google's Gemini AI is also in the race, piloting image generation features on Android. This evidences a burgeoning competition between tech giants as they strive to integrate advanced AI capabilities into everyday communication apps, thereby positioning themselves as leaders in the AI sphere (). Meanwhile, specialized AI companies like Midjourney and Stability AI continue to hone their standalone image generation technologies, potentially offering more refined tools specifically targeted at users requiring high-quality outputs. Despite ChatGPT's broad reach, critiques about its image quality and generation speed may drive consumers towards these specialized alternatives.

User feedback on ChatGPT's capabilities reveals an essential market insight. Many users have expressed dissatisfaction, noting that the generated images often lack detail and suffer from prolonged rendering times. This feedback suggests a gap in OpenAI's offering that competitors may capitalize on. Moreover, these perceptions echo broader concerns about AI-generated content, including questions about redundancy and value addition in an already saturated market (, ).

The technological advancements in AI have ushered in a new era for creative tools, with features like OpenAI's image generation on WhatsApp standing out. This innovation, allowing users to generate images by simply messaging 1-800-ChatGPT, demonstrates the growing convergence of AI with everyday communication apps, potentially transforming digital creativity by offering such tools at users' fingertips. Despite its novelty, this feature has not been without controversy. Critics, including Perplexity AI, have pointed out that similar tools powered by MetaAI were already available on WhatsApp, suggesting that OpenAI's efforts could be seen as redundant or delayed [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

The potential of AI to democratize access to creative tools is immense, giving users the power to create unique content with ease. However, this democratization also introduces ethical challenges. For instance, the craftsmanship of artists may be undervalued as AI-produced images flood digital spaces, potentially diluting the appreciation for original artistry [2](https://www.getadigital.com/blog/the-current-state-of-ai-image-generation-as-of-early-2025). Additionally, platforms like WhatsApp, with their vast reach, amplify both positive and negative outcomes. While they offer an unprecedented platform for creativity, they also risk spreading misinformation through AI-generated deepfakes, necessitating new standards and safeguards to preserve the integrity of information shared online [2](https://www.getadigital.com/blog/the-current-state-of-ai-image-generation-as-of-early-2025).

The integration of AI in image generation also triggers critical discussions around intellectual property and copyright. With AI creating realistic images, it becomes challenging to identify the line between human and machine art. Legal frameworks are still catching up with these technological advancements, raising questions about ownership rights over AI-generated content. This situation calls for urgent action in developing regulatory measures to govern the use and distribution of AI-created media, as its misuse could lead to serious ramifications, including the manipulation of political narratives [2](https://www.getadigital.com/blog/the-current-state-of-ai-image-generation-as-of-early-2025). This underscores the need for comprehensive policies that address both the creative potential and the associated risks of AI advancements.

The rollout of ChatGPT's image generation feature on WhatsApp has sparked varied responses from both experts and the general public. On the one hand, there is a strong appreciation for the increased accessibility of AI-powered tools, which now allows billions of WhatsApp users to engage with and benefit from generative AI technologies. Such integration could democratize access to creative tools, making sophisticated image generation capabilities available to those who previously did not have access [Mashable](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

However, the quality of the AI-generated images has been subject to scrutiny and debate. Many users have reported inconsistencies, with some images exhibiting a "yellowish tone" and lacking detail. CNET points out that the tool suffers from long generation times and lacks essential editing features, which can lead to user frustration [CNET](https://www.cnet.com/tech/services-and-software/openai-image-generator-review-chatgpt-is-creative-but-lacks-essential-tools/). Reddit threads have further amplified these concerns, with users highlighting a perceived decline in image detail compared to previous iterations [OpenAI Community](https://community.openai.com/t/image-generation-is-ruined-why-did-you-do-this/1153096).

Moreover, the market landscape presents a competitive environment where OpenAI's feature is not necessarily groundbreaking. Companies like Meta and Google are implementing similar AI functionalities, posing significant competition. While Perplexity AI has voiced that OpenAI's integration is tardy, suggesting that the existing market solutions might already be more advanced [Wheelhouse](https://www.wheelhouse.com/compare/meta-ai-vs-perplexity-ai). This suggests that while the accessibility afforded by WhatsApp's vast user base is indeed an advantage, it doesn't inherently translate into superior technological prowess.

Experts have also raised concerns about the potential redundancy of such technology, especially considering that similar AI-powered tools have been present on WhatsApp prior to ChatGPT's recent integration [Mashable](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but). Despite these criticisms, it cannot be denied that ChatGPT's extension into WhatsApp symbolizes a broader trend towards incorporating AI across everyday communication platforms. This shift is projected to be ubiquitous by 2025, with the adoption of AI in customer interactions set to reach as high as 97% of businesses [PRNewswire](https://www.prnewswire.com/news-releases/97-of-businesses-to-use-ai-in-customer-communications-in-2025-but-are-consumers-ready-for-it-302482444.html).

The release of ChatGPT's image generation feature on WhatsApp generated a whirlwind of public reactions. Some users hailed the integration as a monumental leap, offering unprecedented accessibility to state-of-the-art AI tools. They appreciated the ease with which they could now whip up creative images just by sending a message, which opens avenues for everyday creativity.

In contrast, critics have voiced shared concerns over the image quality, noting that they often fall short of expectations. The described issues related to "uncanny recreations" coupled with typos and long generation times highlight that while the tool is powerful, it might not be ready to replace established artistic creations. This criticism points out the fundamental differences between AI and human creativity, often hailed by artists who feel threatened by the rise of AI-generated content.

Then there's the curious case of redundancy, with some observers questioning the necessity of the feature given that similar options exist on WhatsApp, such as MetaAI. It begs the question of whether this new addition is an innovation or a mere addition to an already crowded space of AI image generators.

Adding a layer of complexity to public sentiment is the Ghibli-style image production which, upon its debut, spurred both awe and litigation. Fans expressed delight at the nostalgic aesthetic, but this was soon overshadowed by a lawsuit from a concept artist who claimed copyright infringement. This saga exposes the precarious balance between innovation and intellectual property laws, as well as the emotional ties consumers place on artistic styles.

Furthermore, environmentalists and art purists raise flags over the ethical considerations of AI usage in art. They emphasize the potential environmental cost of training massive AI models as well as the risk of diluting genuine human creativity with automated reproductions. Like other technological revolutions, this too divides opinions along lines of sustainability and authenticity.

Lastly, while the democratization of art creation is celebrated, concerns about over-abundance intersect with the ongoing discourse about the societal value of art. Does the ubiquity of AI-generated images enhance cultural creativity, or does it render such artforms mundane? These are the challenging questions observers and stakeholders grapple with amidst these transformative times.

As AI continues to integrate into more facets of everyday communication, particularly with the introduction of OpenAI's image generation on WhatsApp, the future economic implications are profound. By making such tools readily accessible, businesses stand to benefit significantly in terms of reduced costs for creative services, potentially spurring greater innovation and efficiency. This shift could lead to more competitive pricing for consumers, as businesses leverage AI to streamline their marketing and visual content needs. However, while companies might experience economic benefits, the creative workforce faces potential disruptions. The ease and speed with which these AI tools can generate images might decrease the demand for human artists, threatening jobs and risking a decline in traditional artistic sectors. As such, while realizing economic efficiencies, it remains crucial to assess and mitigate the potential socioeconomic fallout this technological advancement may precipitate.

The integration of AI into everyday platforms such as WhatsApp has profound social implications. On the one hand, AI image generation capabilities provided through popular messaging apps can democratize access to creative tools. Individuals who may not have traditional artistic skills now have the ability to create visual content [1](https://www.brandxr.io/the-future-of-ai-image-creation). This can lead to increased self-expression and participation in the arts, as more people explore new creative avenues. However, this democratization also comes with potential challenges. The ease of generating images could result in a proliferation of low-quality content, which might dilute the appreciation of traditional artwork and craftsmanship [2](https://montrealethics.ai/the-impact-of-ai-art-on-the-creative-industry).

Moreover, there is a growing concern about the potential misuse of AI-generated images, particularly in the realm of misinformation and deepfakes. As noted, platforms like WhatsApp, which have a vast reach, can serve as conduits for the rapid spread of doctored images and videos [9](https://opentools.ai/news/chatgpt-surfs-to-whatsapp). The consequences of such misinformation can be significant, impacting social trust and public discourse [10](https://opentools.ai/news/chatgpt-surfs-to-whatsapp). This recognition calls for increased media literacy among the public and stringent measures to counteract the spread of false content.

The social implications extend beyond creative expression and misinformation. There is also a significant impact on social relationships and communication dynamics. For example, the ability to easily generate and share personalized images can enhance digital communication, making it richer and more engaging [9](https://opentools.ai/news/chatgpt-surfs-to-whatsapp). However, it could also lead to a superficiality in personal interactions where visuals overshadow meaningful exchanges. This complex landscape requires ongoing dialogue about the role of AI in our social fabric and the protocols needed to ensure it contributes positively to society.

The recent introduction of AI-driven image generation on platforms like WhatsApp, specifically through OpenAI's new feature, heralds a new era with profound political and regulatory implications. Governments and regulatory bodies now face the pressing challenge of balancing innovation with responsibility. The advent of this technology on a widely-used platform such as WhatsApp raises critical concerns about intellectual property rights. Who owns the rights to images created by AI? Current legal frameworks are ill-equipped to address these complexities [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

Additionally, the capability to produce hyper-realistic images easily can be a double-edged sword in political arenas. There is an increased risk of AI-generated images being used maliciously, such as in the creation of deepfakes, which can be leveraged for misinformation campaigns or political propaganda. As such, there is an urgent need for policymakers to establish robust mechanisms to detect and address the misuse of AI-generated content [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

Moreover, integrating AI image generation into a global communication tool like WhatsApp underscores the necessity for international cooperation in regulatory measures, given its potential for worldwide misuse. The potential for such technology to affect societal norms and governmental processes requires diverse international dialogue and comprehensive legislation that reflects the rapid pace of technological advancement [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but).

Regulators must also address ethical concerns surrounding AI. As with other technological advancements, the introduction of AI-generated content requires a diligent exploration of ethical guidelines. These guidelines need to cover a range of issues from data usage, to the prevention of potentially harmful outputs, to the implications of AI on creative industries and employment [1](https://in.mashable.com/tech/95770/perplexity-ai-takes-a-dig-as-chatgpt-rolls-out-image-generation-feature-on-whatsapp-no-offense-but). Ensuring that AI developments lead to a net positive impact on society will require careful planning and cooperation between developers, regulators, and end-users.