You are reading Entrepreneur India, an international franchise of Entrepreneur Media.
They say slow and steady wins the race. The adoption of artificial intelligence (AI) has resulted in a collection of small but significant adoption rates over the years, increasing from 20% in 2017 to 72% in early 2024.
By 2024, 73% of the Indian population surveyed used generative AI. It’s safe to say that genAI has evolved beyond what ChatGPT previewed in late 2022. From technological advancements to regulatory efforts, the industry has witnessed some watershed moments this year.
“AI is already making the impossible possible, and over the past year we have seen a significant number of people and organizations move from experimenting with AI to more meaningful adoption,” says Chris Young , executive vice president of business development, strategy and enterprise, Microsoft.
Let’s take a look at six AI trends we can expect more of in 2025:
1. Improved capacity- Over the years, advancements have made AI models faster and more efficient. Models like OpenAI o1 have exceeded expectations on metrics like solving complex problems with logical steps, comparing contracts, generating code, and executing multi-step workflows.
“There could be a synergy between how we train models and how those models feed back to agents… And people will now have more opportunities than ever to choose or build models that meet their needs. needs,” said Ece Kamar, managing director, AI Frontiers Lab, Microsoft.
By 2025, faster, better and more specialized models will create new, more useful AI experiences, including with agents.
2. AI Agents- According to MarketsandMarkets, the AI agent market is expected to grow from $5.1 billion in 2024 to $47.1 billion by 2030. For the uninitiated, AI agents are autonomous systems that perform tasks without human intervention. Microsoft 365 Copilot helps 70% of Fortune 500 companies accomplish repetitive, mundane tasks.
Thanks to advances in memory, reasoning and multimodal capabilities, agents will be able to tackle more complex tasks, using new skills and innovative interaction methods. Kamar notably notes that, despite all the development, human surveillance will remain a central cog in the evolution of the AI-powered agent wheel.
3. Everyday Companion- AI will make parts of your life beyond work easier in 2025. This includes simplifying and prioritizing tasks to free up time while protecting privacy, data and security.
4. More resource efficient Emerging technologies, including AI, require computing power and energy. For example, Google announced a partnership with Kairos Power to use nuclear energy to power its AI data centers.
However, tech players are eyeing a broader effort to make AI infrastructure more efficient and sustainable by 2025. Global data center workloads grew ninefold between 2010 and 2020, demand in data center electricity having increased by only 10%. Players like Microsoft, AMD, Intel, and NVIDIA are working to make their hardware more efficient, from their custom silicon series to their liquid-cooled heat exchanger designed to efficiently cool large-scale AI systems.
Notably, in the coming years AI-driven data centers are expected to come online and consume no water for cooling, with companies using super-efficient liquid cooling systems such as plates cold.
5. Measurement and customization- As AI continues to advance exponentially, users and researchers have expressed concerns about its responsible use.
Measuring and assessing AI risks is essential for developing responsible AI systems. One of the most significant advances expected this year can be summarized in two key concepts: testing and personalization. If risks and threats can be measured, they can be addressed or mitigated.
6. Accelerate scientific breakthroughs- Of all the areas in which AI is being leveraged, scientific advancements in AI are having a huge impact on a global scale. The impact of AI on science will continue to grow.
“We will start to see these tools have a measurable impact on the work of people and institutions working on these huge problems, like designing sustainable materials and accelerating the development of life-saving drugs,” said Ashley Llorens , responsible for the company. vice president and general manager, Microsoft Research.