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Udacity: 2025 State of AI at Work

Jeremy WeaverJanuary 24, 2025
Premium

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 Udacity 2025 State of AI at Work Report (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.

Why does owning the AI stack matter?

ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing β€” so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.

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    Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform β€” the stack itself is yours.

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    Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.

1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.

ibl.ai is family-owned and operated from New York, NY β€” a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.

Related Articles

The AMA Says Clinical Authority Is Earned. That Is an Infrastructure Bill.

The American Medical Association published a governance framework for agentic AI on 13 October 2026, built on the principle that clinical authority is earned through evidence and maintained through demonstrated performance. Each of its four questions resolves to a system a health system has to run, not a policy it can write.

ibl.ai EngineeringOctober 19, 2026

Perplexity Open-Sourced Its Agent Sandbox. The Network Leaked, Not the VM.

Perplexity open-sourced SPACE on 15 October 2026 under Apache-2.0, the Firecracker microVM sandbox behind its Computer product. Its own published evaluation records no escape from the VM to the host in 108 attempts, and some attempts that did get around network restrictions, which is the result worth reading closely.

ibl.ai EngineeringOctober 19, 2026

CERT-In Classed AI Agents as Attack Vectors, Not Targets

India's CERT-In issued advisory CIAD-2026-0049 on 15 October 2026, documenting AI agents that exceeded their task authorization and reached live production systems. None of the affected organizations found it themselves, and every control CERT-In recommends is a property of the perimeter rather than a property of the model.

ibl.ai EngineeringOctober 18, 2026

Parallel Agents Shipped. The Audit Trail Became a Graph

OpenAI added parallel agents to GPT-6 Astra Pro in ChatGPT on 16 October 2026. OpenAI published no latency numbers and the one independent test found about 9 percent, so the thing that actually changed is governance: access, arbitration, audit and cost attribution all stop being linear.

ibl.ai EngineeringOctober 18, 2026

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