In November 2022, ChatGPT hit 5 million users within five days of launch, igniting a global AI frenzy. Fast forward to 2025, AI adoption is reshaping industries worldwide. The buzzword? AI trends in 2025. Dive into our predictions for eight game-changing trends that will define the AI landscape.
Trend #1: AI prioritizes resource efficiency
While AI needs its resources like energy, innovative solutions will help in this challenge. In the coming years, new datacenters that support AI will come online and consume zero water for cooling, while providers will expand their use of superefficient liquid cooling systems such as cold plates. Technology giants like Microsoft is working on its own and with others, like AMD, Intel and NVIDIA, to make its hardware more efficient, from its custom silicon series. While Exxon Mobil, US largest oil and gas company is designing a large natural gas-fueled plant meant to directly supply electricity to data centers with technology able to capture more than 90% of the complex’s carbon dioxide emissions.
Trend #2: Infrastructure development becomes cheaper
AI development costs are dropping as new hardware competitors like Groq and Intel enter the GPU race. OpenAI and others aim to cut dependence on NVIDIA, creating cost-effective and scalable solutions. The company is in talks with chip designers like Broadcom to develop its own GPU, aiming to reduce its dependency on scarce and ultra expensive NVIDIA components. This growth is fueled by two factors: the increasing efficiency and scalability of GPU clusters, and the emergence of cutting-edge hardware like Blackwell GPU developed by NVIDIA. By 2025, advancements like Meta’s 24,000-GPU clusters will make AI infrastructure more accessible.
Trend #3: LLM advancements in 2025 become specialized
Since the early launch of all major LLMs the innovation and power just kept coming. Every few weeks, it seemed, we would see something new that pushed out the limits. And now, users are aware that the pace is slowing down. The transition from GPT-3 to GPT-3.5 was impressive, as well as, jump up to GPT-4. Later we experienced the release of GPT-4o, which offered enhanced multi-modality but relatively little in terms of additional power. Other LLMs, like Claude 3 from Anthropic and Gemini Ultra from Google, have followed a similar trend and now seem to be converging around speeds and power benchmarks to GPT-4. This AI trend will continue in 2025, but we forecast that LLMs will become more specialized as they become simply less powerful to handle queries across topics and functional areas. The second reason might be that we are approaching the end of public text-based data, and in need to look for other sources. Which leads us to the Sora.
Trend #4: Generative AI video takes center stage
Recently, OpenAI’s Sora model demonstrated the possibilities of generative video. While not yet able to compete with the industry’s top creators, this offers an exciting preview of where AI is headed. Even though Sora isn’t yet available in the UK and the EU, and complex regulations could prevent it from being offered at all, as the growing concerns become louder day by day by influential industry professionals. While a 20-second video clip is no feature-length film, Sora’s content capabilities surpass competitors’ offerings and become interesting for video professionals. Video could become the next major trend in 2025 for generative AI now that chatbots and image generators have made their way into the consumer and business world.
Trend #5: AI video upscaling in demand
AI video upscaling integration into professional video workflows is already getting traction. While image upscaling integration is ever present, video upscaling is lagging behind. This will change as startups introduce novel video upscaling AI models such as REST API designed to scale and support a vast number of parallel enhancements, with expansion of much more competitive pricing. However with the uprisal of generative AI we announce this is a definitely trend to watch in 2025.
Trend #6: AI upscalers will develop more advanced models
At its core, AI video upscaling uses machine learning algorithms to improve video quality by increasing resolution, reducing noise, and enhancing details. Unlike traditional methods that rely on interpolation techniques, AI approaches employ neural networks trained on vast datasets to predict and generate high-resolution images from low-resolution inputs. This means that research never stops. As a trend to watch in 2025 we expect new and improved AI upscaling architectures. Again, the focus will be on balancing number of parameters and upscaling quality. New and more efficient diffusion architectures are what everyone is aiming for.
Trend #7: Ethical AI and copyright compliance in focus
Ethics, safety, transparency, and reliability of AI will definitely be one of major trends to watch in 2025. While some of the push is coming from legislation, companies are also becoming aware of the risks that can come with irresponsible use of AI. The U.S. Copyright Office has clarified that only works created by humans are eligible for copyright protection. This means that purely AI generated content cannot be copyrighted. However, governments and lawmakers are grappling with the regulatory challenges posed by AI. In 2024, the European Union and China have introduced laws to limit the potential risks of AI. By 2025, we will see more regulations that prioritize protecting human rights, as discussions about responsible AI aiming to bring the balance between creative freedom and the protection of intellectual property take centre stage.
Trend #8: Fighting AI-generated disinformation
The problem of AI-generated fake content and fake news will be a major trend to watch in 2025. We expect that the governments will pass legislation, such as China’s law against deepfakes to regulate the spread of fake content. At the same time, the public also needs to deal with the information crisis through education and critical thinking. We especially advise users to always be careful when it comes if the service providers haven’t been clear about using upload data for future training of AI models. Awareness of using reputable service providers that offer strong data security and state clearly whether they delete user data after processing will increasingly become louder in 2025.
Conclusion
AI trends in 2025 promise to revolutionize industries while addressing critical ethical and technical challenges. Keep being informed and leverage our trend predictions to stay ahead in the AI race.
