Over 20% of businesses are now spending between $50,000 and $100,000 annually on AI, with 9% investing over $500,000. It represents a rapid growth in AI adoption and expenditure compared to previous years, highlighting both the benefits and risks associated with this trend. Most businesses report satisfaction with their AI investments, citing high returns. However, concerns remain about cybersecurity and policy gaps.

SnapLogic’s recent report “AI Agents: The Final Frontier of the Enterprise” reveals that 84% of IT leaders trust AI agents equally or more than humans. The study, which surveyed over 1,000 IT decision-makers across four countries, shows high confidence in AI agents’ ability to deliver business outcomes. Despite widespread interest, only 50% of organizations are currently using or planning to implement AI agents due to concerns about data security and integration challenges. The report highlights the potential of AI agents to transform enterprises while identifying key barriers to adoption. 

A new Nature study explores how artificial intelligence is transforming infectious disease modeling and prediction. Researchers found that AI-driven approaches can significantly improve outbreak forecasting and pathogen analysis. However, the study emphasizes that continued success depends on increased data transparency and reduced training costs. AI models have shown potential to accelerate epidemiological insights, support public health decision-making, and enhance genomic analysis of pathogens.

Alibaba plans to invest US$53 billion in AI infrastructure over the next three years, making it the largest private computing project of its kind. This investment, which exceeds Alibaba’s total AI spending in the past decade, is more than half of the US’s planned $100 billion Stargate project. The move underscores Alibaba’s focus on AI-driven growth and its position as a leading global cloud provider. CEO Eddie Wu emphasized aggressive investment in AI and cloud computing infrastructure.

AI adoption in broadcasting has accelerated, according to Haivision’s 2025 Broadcast Transformation Report. The survey found 25% of broadcasters are now using AI, up from 9% in 2024. When asked about factors impacting the industry in the next five years, 64% named AI and machine learning. Top perceived AI benefits include efficiency gains, automated translation/captioning, and content creation. Among broadcasters not yet using AI, 41% plan to implement it within 2 years. The report is based on responses from about 900 broadcast and media professionals.