Image by DC Studio, from Freepik
Over 40% Of Agentic AI Projects Could Be Canceled by 2027
- Written by Kiara Fabbri Former Tech News Writer
- Fact-Checked by Sarah Frazier Former Content Manager
Businesses continue to spend money on agentic AI systems, however new research argues that many of these initiatives face an uncertain future.
In a rush? Here are the quick facts:
- High costs and unclear ROI stall agentic AI adoption.
- Only 130 vendors offer true agentic AI solutions.
- “Agent washing” misleads companies about AI’s real capabilities.
A new report from research firm Gartner predicts that over 40% agentic AI projects will likely be cancelled by 2027, given the high costs, combined with unclear benefits and inadequate risk management.
“Most agentic AI projects right now are early-stage experiments or proofs of concept that are mostly driven by hype and are often misapplied,” said Anushree Verma, Senior Director Analyst at Gartner, as reported by Forbes .
Agentic AI differs from traditional automation or chatbots by aiming to work independently, learn from experience, and perform complex tasks without constant human supervision. However, the Gartner survey revealed that although 19% of companies actively invest in this technology, 31% still remain uncertain or are waiting to see what happens.
Gartner also identifies the new phenomenon of “agent washing.” The researchers explain that through this practice, organizations label traditional technologies like RPA or virtual assistants as agentic AI, without adding real autonomous capabilities. Indeed, Gartner noted that of thousands of vendors, only around 130 meet the actual definition of agentic AI.
One recent example of “agent washing” was Builder.ai, a Microsoft-backed startup that claimed its platform built apps using AI. In reality, 700 human engineers in India performed most of the work.
Additionally, the financial expenses needed to construct and sustain these systems present another major challenge to organizations. The implementation of agents into outdated systems, together with workflow redesign, and staff training expenses, may prove overly costly for companies.
Still, Gartner sees long-term potential. By 2028, 15% of everyday business decisions could be made autonomously by AI agents , and one-third of enterprise software could include agentic functions.
For this implementation to succeed, Verma suggested to Forbes, “To get real value from agentic AI, organizations must focus on enterprise productivity, rather than just individual task augmentation.”
“They can start by using AI agents when decisions are needed, automation for routine workflows and assistants for simple retrieval. It’s about driving business value through cost, quality, speed and scale,” Verma concluded.
Image by Alina Perekatenkova, from Unsplash
New Facebook Feature Uses Private Photos For AI-Generated Stories
- Written by Kiara Fabbri Former Tech News Writer
- Fact-Checked by Sarah Frazier Former Content Manager
According to new reports Facebook now asks users to upload private phone photos for AI suggestion purposes, sparking concerns about data privacy, consent, and future model training.
In a rush? Here are the quick facts:
- Facebook requests access to users’ unshared camera roll photos for AI suggestions.
- The opt-in feature enables AI to generate collages and restyled photo content.
- Meta may analyze facial features and other metadata under its AI Terms.
According to new reports, Facebook is quietly rolling out a new feature where users are asked to enable Meta’s AI to analyze their entire phone photo collection on their device as part of a new feature, as first reported by TechCrunch .
The goal of the new AI feature is to provide users with content suggestions through the generation of collages, story recaps, and digital restyle options for their Stories. However, users are being asked to opt in to “cloud processing,” which means uploading their private photos to Meta’s servers on an ongoing basis.
A Meta spokesperson described the feature as an optional test in the U.S. and Canada. “These suggestions are opt-in only and only shown to you – unless you decide to share them – and can be turned off at any time,” said Meta’s Maria Cubeta, as reported by TechCrunch. “Camera roll media may be used to improve these suggestions, but are not used to improve AI models in this test,” she added.
Users can find this feature under the “Camera roll sharing suggestions” section of Facebook. As AI features become more deeply integrated into everyday apps, the balance between convenience and privacy continues to raise questions. While Meta describes the camera roll tool as an optional and user-controlled feature, the lack of long-term clarity about how personal data may be used leaves room for concern.
