Driven by productivity and personalization advances, AI’s contribution to the global economy is estimated to exceed $15.7 trillion by 2030 with a CAGR of 36.6%. Over 90% of leading companies worldwide have ongoing investments in AI, with 62% of them reporting improved efficiency and productivity and the key benefits.
Despite growing concerns over companies using personal data in AI algorithms, the development in this sector, fueled by the quickly growing market, is expected to continue in 2025 and beyond. Here are a few areas where AI can further excel in 2025:
The Spanish government, on Jan 20 this year, announced subsidies totaling €150 million to support companies in developing and integrating AI technologies. This initiative aims to stimulate AI innovation within the corporate sector.
UK Prime Minister Sir Keir Starmer unveiled a government plan to position Britain as an AI superpower. The plan includes 50 recommendations by entrepreneur Matt Clifford, focusing on investing in technology infrastructure, addressing the AI skills gap, and fostering public-private partnerships.
However, some pundits also believe the plan undermines the UK's capabilities and emphasizes the need for the next big thing.
India has launched three AI Centres of Excellence focusing on Healthcare, Agriculture, and Sustainable Cities in Delhi. These centers will be responsible for focusing on interdisciplinary research and collaboration among educational institutions, industry stakeholders, and startups to develop innovative applications and scalable solutions for India-specific challenges.
This initiative aligns with the government's commitment to "Make AI in India and Make AI work for India (Jitin Prasada)," with a financial allocation of ₹990 crore from FY 2023-24 to FY 2027-28.
Aiding global AI research and development, The United Arab Emirates has launched a $500 million program. This initiative includes a $200 million effort to provide access to advanced technology for emerging and developing countries and the establishment of the Falcon Foundation, which is a $300 million nonprofit organization dedicated to advancing open-source generative AI models. The program aims to foster collaboration and knowledge exchange across key sectors, setting new standards for AI development.
Microsoft has made significant strides in its AI initiatives, including the establishment of a new AI engineering group called CoreAI - Platform and Tools, the introduction of pay-as-you-go agents for its revamped Copilot Chat for businesses, and the bundling of AI Office features into Microsoft 365 for consumers. These moves align with Microsoft's enhanced focus on embedding AI capabilities deeply within its tools, platforms, and services. They’ve also invested $10 billion in OpenAI as well for the development and usage rights for ChatGPT.
Huawei is attempting to capture a larger share of China's AI chip market from Nvidia by promoting its Ascend AI processors for "inference" tasks, crucial for generating responses by large language models. Despite technical and supply challenges, Huawei is progressing, supported by Chinese government initiatives to reduce reliance on Nvidia.
Cognizant has launched an Advanced Artificial Intelligence Lab in San Francisco, staffed by a team of AI pioneers and PhDs. The lab focuses on advancing AI through innovation and the development of intellectual property and AI-enablement technologies and already has 75 patents issued or pending. It is part of Cognizant's commitment to invest $1 billion in generative AI over the next three years.
Taiwan has advanced its role in AI chip production with the inauguration of a new factory by Siliconware Precision Industries Co. (SPIL) in Taichung. This collaboration aims to innovate AI chip packaging technology and integrate silicon photonics for enhanced system capabilities.
A podcast episode of "Good on Paper" discusses the impact of AI on scientific research, particularly in materials science. The introduction of AI significantly increased productivity, with researchers discovering 44% more materials and achieving 39% more patent filings. However, this increased productivity also revealed disparities, benefiting high-performing researchers more than their lower-performing counterparts, and led to decreased job satisfaction due to the automation of idea generation.
The Earth Species Project, a nonprofit research lab, is utilizing advanced AI tools to decode animal communications. By analyzing vocalizations of species like zebra finches, Hawaiian crows, and St. Lawrence beluga whales, the project aims to create rudimentary dictionaries to aid in species protection. This initiative has the potential to transform interspecies understanding and promote environmental conservation.