Unity King

Gaming and Technology Blog

Category: AI Tools and Platforms

  • Apple’s Local AI How Devs Use it in iOS 26

    Apple’s Local AI How Devs Use it in iOS 26

    Apple’s Local AI How Devs Use it in iOS 26

    Developers are eagerly exploring the capabilities of Apple’s local AI models within the upcoming iOS 26. These on-device models promise enhanced privacy and performance allowing for innovative applications directly on users devices.

    Leveraging Apple’s Local AI Framework

    Apple’s framework gives developers the tools they need to integrate local AI models effectively. This integration enables features like:

    • Real-time image recognition: Apps can now instantly identify objects and scenes without needing a constant internet connection.
    • Natural language processing: Local AI allows for faster and more private voice commands and text analysis.
    • Personalized user experiences: Apps can learn user preferences and adapt accordingly all while keeping data on the device.

    Use Cases for Local AI in iOS 26

    Several exciting use cases are emerging as developers get hands-on with the technology:

    • Enhanced Gaming Experiences: On-device AI can power more realistic and responsive game environments.
    • Improved Accessibility Features: Local AI can provide real-time transcriptions and translations for users with disabilities.
    • Smarter Health and Fitness Apps: Apps can monitor user activity and provide personalized recommendations without sending data to the cloud.

    Privacy and Performance Benefits

    Data stays on the user’s local device so there’s no need to send sensitive data over the internet. This reduces exposure to interception data breaches and third-party misuse.

    Local models help organizations comply better with privacy-related regulations GDPR HIPAA etc. since data isn’t transferred to external cloud servers.

    Lower Latency Faster Responsiveness

    Since no roundtrip over the internet is needed for inference sending request to cloud waiting receiving result responses are much quicker. Useful in real-time applications voice assistants translation AR/VR gaming.

    Reduced lag is especially important in scenarios where even small delays degrade user experience e.g. live interaction gesture control. Future Vista Academy

    Offline Connectivity-Independent Functionality

    Local models continue to operate even when there’s no internet or a weak connection. Good for remote locations travels or areas with unreliable connectivity.

    Useful in emergencies disaster-scenarios or regulated environments where connectivity may be restricted.

    Cost Efficiency Over Time

    Fewer recurring costs for cloud compute data transfer and storage which can add up for large-scale or frequent use.

    Reduced bandwidth usage and less need for high-capacity internet links.

    Control & Customization

    Users organizations can fine-tune or adapt local models to specific needs local data user preferences domain constraints. This offers more control over behavior of the model.

    Also more transparency since the model is on device users can inspect modify or audit behavior more readily.

    Limitations Trade-Offs

    While local AI has many advantages there are considerations challenges:

    Initial hardware cost: Some devices or platforms may need upgraded hardware NPUs accelerators to run local inference efficiently.

    Device resource constraints: CPU/GPU/NPU memory power (battery can limit how large or complex a model you can run locally.

    Model updates maintenance: Keeping models up to date ensuring security patches refining data etc. tends to be easier centrally in the cloud.

    Accuracy capability: Very large models or ones with huge training data may still be more effective in the cloud due to greater compute resources.

  • Kraken Platform: Octopus Energy’s AI Spin-Off

    Kraken Platform: Octopus Energy’s AI Spin-Off

    Octopus Energy Spins Off Kraken Utility Billing and AI Platform

    Octopus Energy, a prominent player in the renewable energy sector, recently announced the spin-off of its Kraken utility billing and AI platform. This strategic move aims to further develop and expand Kraken’s capabilities as a standalone entity.

    What is Kraken?

    Kraken is not just a billing system; it’s an advanced technology platform leveraging AI and machine learning to optimize energy distribution, customer service, and overall utility operations. Octopus Energy built Kraken to manage its own rapidly growing customer base, and now licenses it to other energy providers globally.

    Key Features of the Kraken Platform:

    • AI-Driven Optimization: Kraken uses AI to predict energy demand and optimize grid management.
    • Automated Billing: The platform automates billing processes, reducing errors and improving efficiency.
    • Customer Engagement: Kraken provides tools for personalized customer communication and service.
    • Data Analytics: The platform offers in-depth data analytics for better decision-making.

    Why the Spin-Off?

    Octopus Energy believes that spinning off Kraken will allow it to innovate faster and serve a wider range of clients. As a standalone entity, Kraken can focus on developing new features and integrations without being tied to Octopus Energy’s specific needs.

    Benefits of the Spin-Off:

    • Increased Innovation: A dedicated team can focus solely on Kraken’s development.
    • Wider Market Reach: Kraken can serve utilities beyond the energy sector.
    • Strategic Partnerships: The spin-off allows for easier collaboration with other technology companies.
    • Investment Opportunities: Kraken can attract investment to fuel its growth.
  • AI Startups Drive Google’s Cloud Business Growth

    AI Startups Drive Google’s Cloud Business Growth

    How AI Startups are Fueling Google’s Booming Cloud Business

    Google Cloud is experiencing significant growth, and Artificial Intelligence (AI) startups are playing a crucial role. These innovative companies leverage Google’s cloud infrastructure to develop and scale their AI solutions, creating a mutually beneficial ecosystem. Let’s explore how this synergy is driving innovation and expansion.

    The Rise of AI Startups on Google Cloud

    Many AI startups choose Google Cloud for its robust AI and machine learning tools. This preference is boosting Google’s cloud business as these companies consume computing resources, storage, and various AI services.

    • Advanced Infrastructure: Google Cloud provides state-of-the-art infrastructure optimized for AI workloads, including powerful GPUs and TPUs.
    • Scalability: Startups can easily scale their AI applications as their user base grows, without worrying about infrastructure limitations.
    • AI Services: Google offers a comprehensive suite of AI services like Natural Language Processing, Vision AI, and Dialogflow, enabling startups to quickly build intelligent applications.

    Google’s AI-First Strategy

    Google has strategically positioned itself as an AI-first company, which is reflected in its cloud offerings. The company invests heavily in AI research and development and integrates these advancements into its cloud platform.

    • TensorFlow: Google’s open-source machine learning framework, TensorFlow, is widely used by AI startups and is seamlessly integrated with Google Cloud.
    • AI Platform: Google Cloud AI Platform provides a unified environment for building, training, and deploying machine learning models.
    • TPUs: Tensor Processing Units (TPUs) offer specialized hardware acceleration for AI workloads, providing significant performance gains.

    Success Stories and Examples

    Several AI startups have achieved notable success by leveraging Google Cloud. These examples highlight the platform’s capabilities and the impact on Google’s cloud growth.

    • Companies focusing on AI-driven analytics utilize Google Cloud’s BigQuery and Dataproc for processing large datasets.
    • Startups in the healthcare sector leverage Google Cloud’s AI services to develop diagnostic tools and personalized treatment plans.
    • E-commerce businesses use Google Cloud’s machine learning capabilities to improve recommendation systems and enhance customer experience.

    Challenges and Opportunities

    While the partnership between AI startups and Google Cloud presents numerous opportunities, there are also challenges to consider.

    • Cost Management: AI workloads can be computationally intensive, leading to high cloud costs. Startups need to optimize their resource utilization to manage expenses effectively.
    • Data Security: Ensuring the security and privacy of sensitive data is crucial. Startups must implement robust security measures and comply with relevant regulations.
    • Talent Acquisition: Building a skilled team of AI engineers and cloud experts can be challenging. Startups may need to invest in training and development programs.
  • Huawei’s AI Push Filling the Nvidia Void in China

    Huawei’s AI Push Filling the Nvidia Void in China

    Huawei’s AI Infrastructure Surge Amid Nvidia’s China Challenges

    Huawei is stepping up its game in the AI infrastructure arena seizing opportunities as Nvidia faces restrictions in the Chinese market. This move could reshape the landscape of AI development and deployment in China. Let’s delve into the details.

    Huawei’s New AI Initiatives

    Huawei has recently unveiled new AI infrastructure solutions designed to cater to the growing demand for AI computing power. These initiatives include:

    • Advanced AI processors
    • Optimized software frameworks
    • Comprehensive AI development platforms

    These offerings aim to provide Chinese enterprises and researchers with alternatives to Nvidia’s high-end GPUs which now face export limitations to China. Huawei’s advancements are crucial for maintaining momentum in China’s AI sector.

    Nvidia’s Market Constraints in China

    1. U.S. Export Controls & Licensing Requirements
      • The U.S. has imposed rules from around 2022-onwards restricting export of certain high-performance AI chips e.g. Nvidia’s H100 H800 etc. to China. These restrictions aim to prevent advanced semiconductors from aiding China’s military or being used in systems with national security implications.
      • More recently the U.S. government expanded the restrictions so that the H20 chip which was designed to comply with earlier rules now requires special export licenses to be sold to China. Nvidia reported a potential $5.5 billion revenue hit due to this new licensing requirement. The Guardian
    2. China’s Pushback & Local Restrictions
      • China’s regulators have also instructed domestic tech firms Alibaba ByteDance, etc. to stop ordering certain Nvidia AI chips like the RTX Pro 6000D due to concerns about dependency on U.S. tech security and to support domestic semiconductor development.
      • The cyberspace regulator in China CAC has even summoned Nvidia over allegations that some of its AI chips including the H20 may have backdoor vulnerabilities or capabilities that might pose security risks. Nvidia has denied such allegations.
    3. Antitrust & Manufacturing-Related Scrutiny
      • Chinese authorities are investigating Nvidia for alleged antitrust violations tied to its acquisition of Mellanox Technologies. The concern is that Nvidia may not have fully complied with conditions like fairness licensing etc. imposed at the time of that deal.
    4. Revenue & Market Share Impact
      • Nvidia has reported that its China sales and revenue have been hit by U.S. export controls. CEO Jensen Huang has publicly said that the controls have reduced Nvidia’s market share in China significantly from very high levels toward roughly half in some reports and have incentivized China to accelerate its indigenous semiconductor development.

    Challenges Nvidia Faces Because of These Regulations

    • Licensing Complexity & Delays: Applying for export licenses is lengthy and uncertain it adds friction and unpredictability for business planning.
    • Reduced Access to Advanced Hardware by Chinese Clients: When chips like the H100-class or H800 or even more advanced versions are restricted, customers in China who want to build cutting-edge AI infrastructure or supercomputing facilities may not have access to them.
    • Revenue Loss: Because China is a large and growing AI market limits in what Nvidia can sell there reduce potential revenues. The $5.5B expected hit is a signal of how big the effect can be.
    • Competition & Innovation Pressure: With more restrictions there is more incentive for Chinese firms to build their own high-end chips and become less reliant on Nvidia. That threatens longer-term market share and dominance.
    • Regulatory Compliance Risk: Both in the U.S. ensuring compliance with export control laws and in China dealing with local regulatory requirements security reviews antitrust investigations.

    Opportunities & Strategic Responses

    Lower-Spec Modified Chips: Nvidia has been modifying chips e.g. versions of the H20 or developing products that comply with regulations to retain some market access even under constraints.

    Export License Agreements: In some cases regulatory thawing or specific deals are allowing sale again under certain conditions. For example as of mid-2025 there were assurances from U.S. authorities that licenses would be granted for some H20 chip sales to China.

    Shifting Manufacturing or Partnerships: To navigate export restrictions firms sometimes adjust supply chain partner with non-restricted entities or develop components/software in places less affected.

    Focus on Use-Case Software & AI Services: If hardware is constrained software optimization making more out of less-advanced chips services and AI tools may offer alternative revenue streams.

    Domestic Chinese Chips: China increasing investment and policy support for indigenous semiconductor development offers competition but also a chance for collaboration in less sensitive domains.

    Impact on the AI Market

    The Nvidia restrictions have created a significant gap in the Chinese AI market. Companies and research institutions that previously relied on Nvidia GPUs now need to explore alternative solutions. This is where Huawei aims to step in.

    Implications for the Tech Industry

    Huawei’s increased focus on AI infrastructure has several implications for the tech industry:

    • Increased competition in the AI chip market
    • Greater self-reliance for China in AI technology
    • Potential shifts in global AI supply chains

    Competition and Innovation

    With Huawei’s push we can expect increased competition among AI chip manufacturers. This competition could spur innovation and drive down costs benefiting AI developers and end-users alike.

    The Road Ahead

    As Huawei continues to develop and refine its AI infrastructure offerings, it will be interesting to see how the Chinese AI market evolves. The interplay between technological advancements regulatory policies and market demand will shape the future of AI in China and beyond.

  • Notion AI: Data Analysis & Automation Agents Arrive

    Notion AI: Data Analysis & Automation Agents Arrive

    Notion Launches AI Agents for Enhanced Productivity

    Notion has just unveiled its latest innovation: AI-powered agents designed to revolutionize data analysis and task automation. These agents promise to bring a new level of efficiency to how users interact with the Notion platform. With the integration of these agents, users can now automate complex tasks, glean deeper insights from their data, and streamline their workflows like never before.

    Understanding Notion’s AI Agents

    Notion’s new AI agents act as virtual assistants, capable of executing tasks and analyzing data within your Notion workspace. These agents leverage the power of artificial intelligence to automate repetitive processes, extract key information, and provide data-driven insights. This means less time spent on manual data entry and more time focused on strategic decision-making.

    Key Features and Capabilities

    • Automated Data Analysis: These agents can automatically analyze large datasets within Notion, identifying trends, patterns, and anomalies. This allows users to make more informed decisions based on real-time data.
    • Task Automation: Users can now automate a wide range of tasks, such as creating reports, updating databases, and sending notifications. This frees up valuable time and resources.
    • Customizable Workflows: Notion’s AI agents are highly customizable, allowing users to tailor them to their specific needs and workflows. This ensures that the agents are always working in the most efficient way possible.
    • Seamless Integration: The agents integrate seamlessly with other Notion features, such as databases, pages, and templates. This creates a unified and streamlined workspace.

    Benefits of Using Notion AI Agents

    By integrating AI agents into your Notion workspace, you can unlock a multitude of benefits, including:

    • Increased Productivity: Automate repetitive tasks and free up time for more important work.
    • Improved Decision-Making: Gain deeper insights from your data and make more informed decisions.
    • Enhanced Collaboration: Streamline workflows and improve communication within your team.
    • Reduced Errors: Minimize the risk of human error by automating critical tasks.
  • Google & PayPal Revolutionize Agentic Commerce

    Google & PayPal Revolutionize Agentic Commerce

    Google and PayPal Join Forces in Agentic Commerce

    Google and PayPal are teaming up to enhance agentic commerce, promising a more streamlined and intuitive shopping experience. This collaboration focuses on leveraging AI to create personalized shopping journeys for users.

    What is Agentic Commerce?

    Agentic commerce refers to AI-driven systems that act as personal shopping assistants. These systems learn user preferences and automate the purchasing process, making online shopping more efficient.

    The Google and PayPal Partnership

    This partnership aims to integrate PayPal’s secure payment platform with Google’s AI capabilities. By combining these technologies, they plan to offer a seamless, personalized shopping experience.

    Key Benefits of the Collaboration

    • Enhanced Personalization: AI algorithms analyze user data to recommend relevant products and offers.
    • Seamless Payments: PayPal integration ensures secure and easy transactions.
    • Improved Efficiency: Automated shopping processes save time and effort.
    • Better Customer Experience: Personalized recommendations and streamlined payments lead to higher satisfaction.

    Future Implications

    The collaboration between Google and PayPal could set a new standard for online shopping. Other companies may follow suit, leading to a wider adoption of agentic commerce.

  • Numeral Secures $35M to Automate Sales Tax with AI

    Numeral Secures $35M to Automate Sales Tax with AI

    Numeral Raises $35M to Automate Sales Tax with AI

    Numeral, a startup focused on automating sales tax compliance using artificial intelligence, has successfully raised $35 million in funding. This investment aims to further develop their AI-driven platform and expand their reach in the market. The company’s innovative approach seeks to alleviate the complexities and burdens associated with sales tax management for businesses of all sizes.

    Automating Sales Tax with AI

    Sales tax compliance represents a significant challenge for businesses, involving intricate regulations and constant updates across various jurisdictions. Numeral addresses this pain point by leveraging AI to streamline the process. Their platform automates tasks such as tax calculation, filing, and remittance, reducing the risk of errors and freeing up valuable resources for businesses.

    By using AI, Numeral is trying to make sales tax compliance more efficient and less of a headache for businesses. The funding will boost their efforts in refining their AI algorithms and broadening the scope of automation.

    Key Features of Numeral’s Platform

    • Automated Tax Calculation: Numeral’s AI accurately calculates sales tax based on location and product type, ensuring compliance with local regulations.
    • Simplified Filing: The platform automates the filing process, submitting returns to the appropriate jurisdictions on time.
    • Real-Time Reporting: Businesses gain access to real-time data and reporting, providing insights into their sales tax liabilities.
    • Integration Capabilities: Numeral integrates with popular accounting and e-commerce platforms like Shopify and QuickBooks, creating a seamless experience for users.

    Impact on Businesses

    Numeral’s AI-driven solution has the potential to significantly impact businesses by:

    • Reducing compliance costs.
    • Minimizing the risk of errors and penalties.
    • Freeing up resources for core business activities.
    • Improving overall efficiency.
  • Gemini in Chrome: Google’s New AI Agent Arrives in the US

    Gemini in Chrome: Google’s New AI Agent Arrives in the US

    Google Gemini Comes to Chrome for US Users

    Google is rolling out Gemini in Chrome to users in the US, introducing powerful agentic browsing capabilities. This update marks a significant step in integrating AI directly into your everyday browsing experience.

    Agentic Browsing: What’s New?

    The core of this update is Gemini’s agentic browsing functionality. It allows Chrome to perform tasks on your behalf, automating processes and making information gathering more efficient. This represents Google’s push in leveraging AI to enhance user productivity.

    Key Features Unveiled:

    • Automated Information Gathering: Gemini can now automatically search and compile information from multiple sources.
    • Intelligent Task Completion: It helps in completing tasks like filling out forms, booking appointments, or making purchases.
    • Contextual Understanding: Understands the context of your browsing and provides relevant suggestions and assistance.

    How Gemini in Chrome Works

    Gemini’s integration into Chrome focuses on streamlining your online activities. By understanding your intent, it proactively offers assistance to simplify complex tasks. This seamless integration aims to make web browsing a more intuitive and productive experience.

    Accessibility and Availability

    The rollout has already started for US users, and Google plans to expand availability to more regions soon. Users need to ensure they have the latest version of Chrome to access these new features.

  • Share Your AI Gems: Google Gemini’s New Feature

    Share Your AI Gems: Google Gemini’s New Feature

    Google Gemini’s Gems: Share Your Custom AI Assistants

    Google now empowers you to share your custom Gemini AI assistants, known as Gems. This exciting update opens new avenues for collaboration and sharing within the AI community.

    What are Gemini Gems?

    Gems are personalized AI assistants you create within Google’s Gemini platform. You tailor these Gems to specific tasks or interests, customizing their behavior and knowledge base.

    Sharing Your Gems

    Previously, these custom AI assistants were for personal use only. Now, Google lets you distribute them with others. You can share the Gems you’ve meticulously crafted. This functionality fosters a more collaborative and open AI ecosystem.

    How Sharing Works

    • Create Your Gem: First, design and fine-tune your custom Gemini AI assistant.
    • Sharing Options: Google provides options that allows you to share your Gems.
    • Collaborate and Innovate: Others can then use and build upon your Gems, potentially leading to new and innovative applications.

    Benefits of Sharing

    • Community Growth: Sharing Gems promotes a sense of community among AI enthusiasts and developers.
    • Knowledge Sharing: It facilitates the exchange of knowledge and expertise in specific domains.
    • Accelerated Innovation: By building upon existing Gems, developers can accelerate the pace of AI innovation.
  • Top AI Tools List 2025 From Synthesia to Runway

    Top AI Tools List 2025 From Synthesia to Runway

    The Most Used AI Tools of 2025 Across Creative Workflows From Video to Design

    Artificial intelligence has taken creativity to new heights in 2025. From video editing to graphic design AI tools are reshaping how creators work. What once required large teams and long hours can now be achieved faster smarter and more intuitively. These tools don’t just save time they expand what’s possible for professionals hobbyists and indie creators alike.

    In this article we’ll explore the most popular AI tools of 2025 highlighting how they are being used in video design music and other creative workflows.

    Runway Gen-3 Revolutionizing Video Creation

    Runway has consistently led the pack in AI video generation, and its Gen-3 model in 2025 has raised the bar. This tool allows creators to generate lifelike video clips from text prompts edit existing footage seamlessly and even add cinematic effects automatically.

    • Why it’s popular:
      • Hyper-realistic motion rendering.
      • Intuitive timeline for video editing.
      • Ability to replace backgrounds objects or characters instantly.

    Filmmakers, social media creators, and advertisers rely on Runway Gen-3 to prototype content quickly. In industries where video is king, this tool has become indispensable.

    Adobe Firefly 2.5 AI-Powered Design at Scale

    Adobe doubled down on AI integration in 2025 with Firefly 2.5 built directly into Photoshop Illustrator and Premiere Pro. Firefly’s improved generative capabilities allow designers to create assets refine typography and enhance visuals with just a few clicks.

    • Key features:
      • Smart background generation for marketing visuals.
      • Style transfer for brand consistency.
      • AI-driven object creation to match brand palettes.

    Design teams now rely on Firefly to scale campaigns and maintain creative consistency across channels.

    MidJourney v7 Artistic Exploration Redefined

    MidJourney has remained a favorite for artists and illustrators. Its version 7 in 2025 offers finer control over image style lighting and composition. Whether for concept art character design or album covers MidJourney helps artists bring visions to life instantly.

    • Notable upgrades:
      • Real-time editing within chat prompts.
      • Expanded library of artistic presets.
      • Collaboration mode for teams.

    By democratizing high-quality visuals MidJourney empowers independent creators who once lacked access to professional design tools.

    Canva AI Studio Accessible Creativity for Everyone

    In 2025 Canva AI Studio has become the go-to tool for small businesses educators and social media managers. With drag-and-drop simplicity combined with AI text-to-design features Canva allows anyone to produce professional-looking content without advanced skills.

    • Popular functions:
      • AI-driven brand kits.
      • One-click video resizing for different platforms.
      • Automated infographic generation.

    Its affordability and ease of use make Canva AI Studio one of the most used creative tools worldwide.

    Pika Labs AI Video Animation for Storytelling

    Pika Labs specializes in turning static images into dynamic animations. By 2025 it has evolved into a powerhouse for creators looking to bring stories to life. From simple GIFs to complex animated shorts Pika offers intuitive workflows.

    • Use cases:
      • Indie game trailers.
      • Marketing campaigns.
      • Animated explainers for businesses.

    Figma with FigJam AI Collaborative Design Evolution

    Figma has expanded its collaborative design platform by deeply embedding AI into FigJam and prototyping workflows. Designers can now generate layouts suggest improvements and even simulate user flows instantly.

    • AI contributions:
      • Automated wireframes.
      • Smart prototyping suggestions.
      • Natural language interface for design queries.

    Descript Overdub & Storyboard Audio + Video Editing Simplified

    For podcasters educators and video creators Descript remains a staple in 2025. Its Overdub feature can clone voices ethically while Storyboard offers script-based video editing.

    • Why it’s loved:
      • Edit video by editing text transcripts.
      • Generate background music automatically.
      • Fix filler words and pauses instantly.

    Descript has made professional editing accessible especially for creators producing high-volume content.

    Soundraw & Suno AI Music Generation for Every Creator

    Music creation has been democratized by AI tools like Soundraw and Suno AI. In 2025 these platforms allow anyone to generate custom soundtracks for videos games or podcasts.

    • Standout features:
      • Royalty-free music generation.
      • Adjustable mood and tempo.
      • AI vocal generation for demos.

    For indie filmmakers and content creators, these tools cut down licensing costs and speed up production.

    Stable Diffusion XL SDXL 2.0 Open-Source Flexibility

    The open-source community continues to thrive with Stable Diffusion XL 2.0. This tool empowers developers and artists to build custom models for specific visual styles.

    • Advantages:
      • Greater creative control.
      • Community-driven innovation.
      • Integration with creative apps and pipelines.

    Its adaptability makes SDXL 2.0 popular among indie studios and experimental creators.

    ElevenLabs AI Voices Human-Like Audio for Storytelling

    Voiceovers have become easier than ever with ElevenLabs. In 2025 it remains the leading tool for generating natural-sounding voices across languages and tones.

    • Applications:
      • Audiobooks.
      • Game NPC dialogue.
      • YouTube narration.

    Its multilingual and emotionally expressive voices make it a crucial tool for global creators.

    The Bigger Picture Why AI Tools Dominate Creative Workflows in 2025

    In audio education settings AI aids scriptwriting or voice generation especially for repetitive or technical parts freeing up creators to focus on narrative tone emotional content.

    Democratization of Creativity

    AI tools let people without formal training or large budgets produce high-quality visuals design work or stories. This opens up creative participation beyond traditional gatekeepers.

    In the paper From Aura to Semi-Aura Reframing Authenticity in AI-Generated Art scholars highlight that many believe AI makes art production more inclusive.

    Creative Hybrid Models

    Many creators use AI as a partner rather than a substitute AI for ideation prototyping or generating variations then humans refining curating and injecting personality/emotion. This hybrid approach preserves human vision while leveraging efficiency. Fiverr.com