Daily AI Agent News - June 2025

Experts Reveal How Agentic AI Is Shaping Cybersecurity in 2025

Assistive to Agentic AI: Risks, Responsibilities, and the Road Ahead

Gartner: Over 40% of Agentic AI Projects Will Be Canceled by End ...

AI agents wrong ~70% of time: Carnegie Mellon study - The Register

This week's agentic AI news highlights both progress and challenges in building inclusive technology.

Gartner's June 25 report delivered a stark warning: **over 40% of agentic AI projects** will likely be canceled by 2027. The research firm cited unclear benefits, poor risk controls, and rising costs as primary reasons. This has direct implications for accessibility initiatives – canceled projects mean potential tools for people with disabilities might never materialize. The report emphasizes that developers must demonstrate clear value and implement strong safeguards to sustain projects that promote inclusion.[4]

Russia saw significant movement with the June 28 launch of a new AI agent by **Siberian AI Center and Sberbank**. While technical specifications remain undisclosed, the development marks expanded access to agentic AI technology in the region. Geographic availability is a fundamental aspect of inclusion, and this rollout could enable more Russian businesses and individuals to leverage AI assistance. The success of such regional deployments will depend on whether developers prioritize **universal design principles** like multilingual support and adaptive interfaces.[1]

Broader industry discussions continued around ethical frameworks for agentic AI. SAP's earlier position that AI must embed **human values like fairness** remained relevant this week, especially in light of Gartner's findings. Without conscious design choices, agentic systems risk perpetuating biases against marginalized groups. For example, AI that handles job applications could disadvantage candidates with disabilities if not properly tested. These conversations highlight that inclusion isn't automatic – it requires deliberate planning from the earliest development stages.[3]

The cybersecurity sector offered indirect lessons about inclusive design. Agentic systems that help **non-experts perform complex tasks** (like those mentioned in Security Journey's analysis) demonstrate how AI can democratize access to technical fields. While not specific to this week, such models could inspire accessibility-focused agents – imagine AI that simplifies digital navigation for people with cognitive differences. However, these applications require rigorous safety testing to prevent new barriers.[2]

Looking forward, the industry faces a critical balancing act. While rapid innovation expands access geographically (as seen in Russia), Gartner's warning indicates many projects lack sustainable foundations. True inclusion demands more than availability – it requires **continuous evaluation** of how agentic systems impact diverse user groups. Developers who prioritize inclusive design alongside technical capabilities will likely build more resilient and socially beneficial projects.[4][1]

Ultimately, this week underscored that agentic AI's inclusion potential hinges on **intentional design choices** and **measurable real-world impact**. Projects failing to address actual human needs risk cancellation, while those embedding accessibility from the start could transform how different abilities interact with technology.

This week brought important developments in agentic AI that could impact accessibility and inclusion.

A major report from Gartner warned that **over 40% of agentic AI projects** might be canceled by 2027. Researchers found many projects fail because they lack clear value or don't handle risks properly. This matters for accessibility because canceled projects might not get to help people with disabilities.[4]

In Russia, Siberian AI Center and Sberbank **launched a new AI agent**. This expands agentic AI technology to more people in Russia. While details are limited, such developments could lead to tools that help diverse groups if designed inclusively.[1]

These events show agentic AI is growing fast, but projects must focus on **real human needs** to succeed and help everyone.

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