Udacity: 2025 State of AI at Work
Udacity's 2025 State of AI at Work report reveals a major skills gap in AI training across industries, with only one-third of workers receiving adequate resources. The report, drawing on responses from 850 professionals in 87 countries, finds that while millennials view AI as a tool for efficiency and revenue growth, this positive sentiment is less shared by Gen Z and Gen X. Popular AI tools include writing assistants and image generators, underscoring the need for enhanced AI training and data literacy.
Udacity: 2025 State of AI at Work
Summary of https://cdn.sanity.io/files/tlr8oxjg/production/6516c1d534ae63c302e0487d08f8819a3e574253.pdf
Udacity's 2025 State of AI at Work report analyzes data from 850 respondents across 87 countries and 22 industries to examine the current and future use of AI in the workplace.
The report reveals a significant gap between the demand for AI skills and the availability of training, with only a third of workers receiving necessary resources from their employers.
Millennials express more positive attitudes towards AI's impact than Gen Z or Gen X, particularly regarding increased efficiency and revenue generation.
Popular AI tools include writing assistants and image generators, while the report highlights the need for increased AI training and data literacy to bridge the skills gap.
Related Articles
Gemini 3.1 Pro and the Case for Model-Agnostic Agentic Infrastructure
Google's Gemini 3.1 Pro doubled its reasoning benchmarks overnight. Here's why that makes model-agnostic agentic infrastructure more critical than ever.
Google Gemini 3.1 Pro, ChatGPT Ads, and Why Organizations Need to Own Their AI Infrastructure
Google launches Gemini 3.1 Pro with advanced reasoning while OpenAI rolls out ads in ChatGPT. These two moves reveal a growing tension in enterprise AI: who controls the intelligence layer, and whose interests does it serve?
ChatGPT Now Has Ads — And It Should Change How You Think About AI Infrastructure
OpenAI has started showing ads inside ChatGPT responses. This marks a turning point: organizations relying on consumer AI tools are now subject to someone else's monetization strategy. Here's why owning your AI infrastructure matters more than ever.
Gemini 3.1 Pro Just Dropped — Here's What It Means for Organizations Running Their Own AI
Google's Gemini 3.1 Pro launched today with 1M-token context, native multimodal reasoning, and agentic tool use. Here's why model releases like this one matter most to organizations that own their AI infrastructure — and why locking into a single provider is the costliest mistake you can make.
See the ibl.ai AI Operating System in Action
Discover how leading universities and organizations are transforming education with the ibl.ai AI Operating System. Explore real-world implementations from Harvard, MIT, Stanford, and users from 400+ institutions worldwide.
View Case StudiesGet Started with ibl.ai
Choose the plan that fits your needs and start transforming your educational experience today.