1. Development of AI in Mobile and Household Appliances

The use of AI in mobile and household appliances is not a new trend, but it remains relevant. For example, voice assistants in smartphones are evolving. Google Assistant has started using more advanced language models, allowing it to better understand the context of conversations and maintain more natural dialogue.

Samsung has integrated Galaxy AI into its flagship smartphones, adding features like live call translation and intelligent photo editing, among others. Meanwhile, Apple is gradually implementing its new AI platform, Apple Intelligence, into its smartphones and tablets, with Siri playing a central role. Microsoft is doing something similar with its PC platform, Copilot.

In addition, AI in laptops and PCs can be used to optimize power consumption, improve video call quality, or optimize hardware. For example, top gaming laptops from Lenovo have recently been equipped with predictive chips that optimize hardware performance under the hood.

Household appliances are also becoming smarter: robot vacuums create detailed maps of rooms and adapt cleaning modes, refrigerators monitor food freshness, and washing machines and ovens automatically select optimal operating modes. Gradually, all smart household appliances are learning to process data locally without using cloud processing.

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2. Use of Generative AI in Game Development

Many major game developers have already used AI in the past year: for example, in creating the Final Fantasy remake, Square Enix used AI for facial animation and lip-syncing during dubbing, and Ubisoft is rumored to be using AI for testing game mechanics, while Tencent is developing non-player character systems using AI algorithms. In general, game development is a vast field for AI use—from simple model generation, concept art, and textures to assisting in creating scripts, voiceovers, and background soundtracks. However, this is largely creative work, and many developers agree that it's boring, silly, and a dead-end path. On the other hand, using AI to solve less trivial tasks, such as balancing game mechanics or expanding RPG elements, is a different matter.

3. AI Companions in Cooperative Games

At CES 2025, NVIDIA unexpectedly presented an intriguing solution called Ace, which could become a new trend or be forgotten in a year. The idea is to create AI agents for online games capable of thinking and acting like real players using small language models (MLM). The first example will be the once-popular battle royale PUBG. According to NVIDIA, the AI ally will be able to communicate using special gaming jargon, provide strategic recommendations, search for loot, share weapons, manage transport, and, of course, engage in combat. Discussions about AI NPCs have been ongoing for some time, but previously it was more of an idea in the spirit of "intelligent NPCs in open-world RPG games." Something like characters in Skyrim, but more meaningful.

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4. Content Personalization

Content personalization using intelligent algorithms is another hot topic in AI. As one of the largest marketplaces in the world, Amazon is actively testing a tool called Personalize, which facilitates the development of recommendation and content personalization systems for websites and mobile apps, as well as supports sales funnel customization. Amazon Prime recently launched a feature for summarizing episodes of favorite series using AI. Just recently, there was news that some Samsung TVs will feature Smart Food, which uses AI to recognize food from any movies and series and then immediately search for the recipe of the identified dish. In the future, experts predict the emergence of website builders that will dynamically reassemble based on individual user preferences, changing the interface and displayed content like a LEGO set.

5. Generative AI for Automatic Dubbing and Localization

At the end of 2024, Google announced that it is implementing an automatic dubbing feature on YouTube in various languages using the AI assistant Gemini. The feature is currently being tested in several languages, primarily for educational content, and the dubbing quality often leaves much to be desired, but it's only a matter of time. This should eliminate parasitic channels that dub other YouTubers' videos, effectively stealing content. Judging by the popularization of other AI dubbing services (Vidnoz, HeyGen, Rask, Elai, Fliki, etc.), this trend is only gaining momentum in 2025, and AI localizers will be used for real-time news dubbing, podcast translation, interviews, educational materials, and video courses. However, expecting high-quality AI dubbing for movies and series is unlikely—firstly, dubbing actors are already striking and fighting against AI, and secondly, the quality of automatic localization is unlikely to compete with the work of professional actors in the near future.

6. Video Generation Using AI

After the successful testing of image generators in 2024, more complex tools for video generation started appearing like mushrooms after rain—Sora from OpenAI, Veo 2.0 from Google, Gen-3 Alpha from Runway, etc. It is expected that in 2025, this area will undergo changes, particularly with improved generation quality and rendering of secondary details in the frame, increased maximum generated clips, and easier use of existing templates for prompting, whether they are hand-drawn sketches, particularly successful generated images, or real photographs. Naturally, no one expects generated clips to replace real professionals, and users won't be able to generate entire films while scrolling through Twitter, but video generators will be actively implemented in marketing, education, video blogging, and game development.

7. Use of Generative AI by the Military

OpenAI is already collaborating with the Pentagon on cybersecurity projects and with Anduril Industries to develop an AI-based drone defense system. Bohemia Interactive Simulations already uses AI to create dynamic virtual battlefields, allowing the military to practice strategies and tactics in conditions as close to real as possible. The US Defense Advanced Research Projects Agency (DARPA) is working on AI-based prediction systems that can analyze data arrays from various sources (satellites, intelligence, weather conditions) to predict possible conflict scenarios. Meanwhile, giant Lockheed Martin is developing a swarm management system for unmanned drones that coordinate their actions without human intervention.

8. Development of AI in Medicine

The implementation of AI in medicine goes far beyond simplifying documentation management. One of the key areas is the use of neural networks for working with medical images and scans. AI algorithms significantly speed up diagnostics and improve visualization accuracy (MRI, CT, ultrasound), helping to optimize time and resources in the early stages of treatment. This has made it possible to detect diseases at the earliest stages and create individualized treatment plans. Another important trend is the implementation of chatbots based on large language models. They help gather data for preliminary examinations, analyze medical history, and highlight key information for doctors, freeing specialists from routine tasks. Generative AI also plays a crucial role in expanding access to medical services in remote regions where organizing full-fledged medical care is challenging. More complex examples include the use of the AlphaFold complex for analyzing protein structures.

9. Education

In 2025, artificial intelligence will become an integral part of the educational process, transforming it through personalization and optimization. Adaptive platforms like Knewton and Squirrel AI adjust to individual student abilities, creating unique learning programs. Virtual assistants, such as ChatGPT, will take on tasks related to knowledge assessment and testing, while content generation technologies like Synthesia will make video lectures accessible to a wide audience. Artificial intelligence will also help predict student success, identifying potential risks and offering timely support. Additionally, AI will be used to create more personalized learning programs and further assist in education.

10. Smart Finance

AI tools are becoming an integral part of financial technologies. Virtual assistants help clients manage finances: they remind about payments, alert about suspicious transactions, and provide consultations on banking services. Another key area is risk management, such as assessing a client's creditworthiness or predicting the likelihood of default. An example of this approach is the startup Zest AI. Additionally, the development of services like Betterment and Wealthfront, which use AI algorithms to personalize financial strategies based on available capital, financial goals, investment term, and acceptable risk level, cannot be overlooked. However, considering the questionable accuracy of facts provided by the likes of ChatGPT, there are doubts about whether AI investment advice should be taken seriously. Receiving a message like "yes, you're right, I was wrong" while watching your money burn is a dubious pleasure.

11. AI in Relationships

By 2025, artificial intelligence will continue to change perceptions of relationships. Virtual partners, reminiscent of characters from the movie "Her," will become part of everyday life. Chatbots and voice assistants like Replika or AI Boyfriend offer emotional support, simulate communication, and even adapt to individual user preferences, becoming increasingly "human-like." Not to mention sex dolls, which are becoming more realistic thanks to improved materials, detailed animation, and more natural speech synthesis, creating a stronger "emotional attachment" effect for users. For example, the Chinese startup Starpery Technology announced a line of AI sex dolls for 2025 that can hold a conversation and be confided in about a bad day or life in general. In 2025, it is expected that dolls will more actively use generative AI technologies to adapt character, voice timbre, and behavior to user requests.