Five Key AI and Data Science Trends Shaping Enterprise Adoption in 2026
By
Thomas H. Davenport and Randy Bean
Hot, fresh, and worth queueing round the block for.
Summary
AI experts Thomas H. Davenport and Randy Bean outline five key trends in AI and data science for 2026, focusing on the shift from the AI hype bubble to GenAI becoming a practical organizational tool. The article provides data-driven insights and expert advice for leaders navigating enterprise AI adoption, emphasizing that organizations change more slowly than AI technology evolves.
Key quotes
· 3 pulledOrganizations tend to change much more slowly than AI technology does these days.
This means that forecasting enterprise adoption of AI requires understanding both technological advances and organizational inertia.
From the AI bubble to GenAI's rise as an organizational tool, these are the 2026 AI trends to watch.
You might also wanna read

Essential AI Skills Companies Will Seek in 2025
The article highlights the increasing demand for specific AI skills in various industries as 2025 approaches. It emphasizes the importance o
DEV Community·10mo agoAI Adoption Rates Show Signs of Plateauing Across Business Sectors
Recent data from the Census Bureau and Ramp indicates that AI adoption rates are beginning to flatten out across all firm sizes, suggesting

Agentic AI Enterprise Scaling: Insights from 70+ Founders and Practitioners
This article explores the current state of agentic AI through insights from over 70 founders and practitioners, examining how AI startups ar
2025 AI Coding Trends Report: Engineering Velocity, Tool Adoption, and Model Growth Analysis
This article presents a 2025 industry report on AI coding trends, analyzing engineering team velocity, AI tool adoption, and model growth. K

Eight Innovative AI Applications from 2025: Beyond the 'Slop'
The article reviews eight innovative and beneficial uses of artificial intelligence that emerged in 2025, contrasting them with the prevalen
Five Critical Perspectives on AI's Impact on Software Development and Developer Evolution
This article presents five essential perspectives on the reinvention of software development in the AI era, cutting through the hype to exam
