October 16, 2025

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OpenAI, Google AI Agents, Intel Chip Launch

The artificial intelligence landscape is rapidly evolving, with significant developments across enterprise applications, content creation, and hardware. Oracle is bolstering its AI offerings for business applications, introducing an AI Agent Marketplace and expanding support for large language models (LLMs) from providers like OpenAI and Google. These enhancements aim to streamline operations and improve efficiency within Oracle Fusion Applications, with specific AI agents now assisting finance teams with insights and automation, and supply chain leaders with optimization and faster decision-making. Meanwhile, the proliferation of AI-generated content online has reached a significant milestone, with over 50% of new web articles now produced by AI, a trend that accelerated dramatically after ChatGPT's public release in late 2022. However, this surge may be leveling off, as some data suggests search engines are favoring human-written content, potentially impacting AI content farms. Marketing leaders are grappling with the ethical implications of generative AI, including bias, environmental impact, and workforce concerns, necessitating clear policies and human oversight. In the hardware sector, Intel is preparing to launch an energy-efficient AI chip for data centers in 2026, focusing on inference and aiming to compete with players like AMD and Nvidia, who are also active in the AI chip market. Consumers are increasingly embracing AI tools, with a significant portion using AI products weekly or daily, and chatbots evolving into AI agents with broader everyday applications, according to recent analyst reports. Educational institutions are also adapting, with Central Michigan University offering a new graduate certificate focused on human-AI collaboration. Beyond business and consumer applications, AI is also being deployed to enhance infrastructure projects through tools for predictive maintenance and automated design, and to bolster security, with systems like Athena Security's AI solution designed to prevent data breaches in call centers by detecting unauthorized devices.

Key Takeaways

  • Oracle is expanding its AI capabilities for business applications, including an AI Agent Marketplace and support for LLMs from OpenAI and Google.
  • New AI agents within Oracle Fusion Applications are designed to assist finance and supply chain teams with automation and insights.
  • Over 50% of new online articles are now AI-generated, a trend that began accelerating after ChatGPT's release in late 2022.
  • The growth of AI-generated content may be plateauing, with some indications that search engines are prioritizing human-written articles.
  • Marketing leaders face ethical challenges with generative AI, including bias, environmental impact, and workforce issues, requiring robust policies and human review.
  • Intel plans to release a new energy-efficient AI chip for data centers in 2026, focusing on inference and competing in the AI hardware market.
  • Consumer adoption of AI tools is high, with many using AI products weekly or daily, and chatbots evolving into AI agents.
  • Central Michigan University is offering a graduate certificate focused on human-AI collaboration and effective AI integration into careers.
  • Bentley Systems is advancing AI for infrastructure projects with new tools for predictive maintenance and automated design.
  • Athena Security has launched an AI system to detect cell phones and smart glasses in call centers to prevent data breaches.

Oracle boosts AI for business apps with new marketplace and LLM support

Oracle is enhancing its AI Agent Studio for Fusion Applications with a new marketplace, expanded support for large language models (LLMs) like OpenAI and Google, and a large network of trained experts. The AI Agent Marketplace will allow businesses to easily add partner-built AI agents directly into Oracle Fusion Applications. This aims to streamline operations, improve efficiency, and help companies adopt AI more quickly. The updates also include new features for building, testing, and deploying AI agents, offering more flexibility and better AI adoption for businesses.

Oracle AI agents help finance teams get insights faster

Oracle has introduced new AI agents within its Fusion Cloud Applications specifically designed to help finance leaders. These agents automate routine tasks, provide predictive insights, and streamline end-to-end financial processes. They leverage Oracle's financial data and machine learning to offer intelligent automation for areas like accounts payable and financial close. The goal is to boost productivity, enhance business performance, and allow finance teams to focus on more strategic activities.

Oracle AI agents improve supply chain operations

Oracle is launching new AI agents within its Fusion Applications to help supply chain leaders improve performance. These agents automate tasks, optimize planning, and support faster decision-making for planners, managers, and logistics teams. They are integrated into existing workflows at no extra cost and cover areas like planning, procurement, maintenance, manufacturing, inventory management, logistics, and order management. The aim is to enhance efficiency and resilience in complex supply chains.

More than half of internet content is now AI generated

New data suggests that over 50 percent of new articles published online are now generated by artificial intelligence. This trend has rapidly increased since ChatGPT became publicly available in late 2022. While the growth of AI-generated content has recently plateaued, hovering around a 50-50 split with human-written articles, its prevalence raises questions about content quality and search engine performance. Some experts believe AI content farms may be seeing diminishing returns as search engines favor human-written content.

AI content now over 50% of web articles, data shows

According to data from SEO firm Graphite, AI-generated articles now make up more than 50 percent of all content published online. This figure reached 52% in May 2025, after AI content surpassed human-written content in November 2024. While the increase in AI-generated articles has slowed down recently, it represents a significant shift since ChatGPT's release in November 2022, when AI content was only 39% of published articles in the following year. Graphite suggests this plateau might be due to AI content performing poorly in search results.

Marketing leaders face AI ethics risks

With over 70% of companies using generative AI, marketing leaders face significant ethical, moral, and legal challenges. These include potential biases in AI outputs, environmental impact from AI's energy use, and workforce reduction. Legal issues like copyright ownership of AI-generated content and the rise of deepfakes pose risks to brand reputation and customer trust. Companies must establish clear policies, conduct AI audits for bias and accuracy, and implement frameworks for human review of AI-generated content to navigate these evolving risks.

Eshallgo launches secure, enterprise AI assistant series

Eshallgo has launched its 'Enlighten Series,' an enterprise-grade AI assistant designed for businesses. These devices combine local data security, high-performance computing, and large-model intelligence in a desktop-sized unit. The Enlighten Series aims to help businesses deploy AI capabilities without the risks associated with cloud-based solutions. It offers on-premise intelligence and knowledge management, particularly for small and medium-sized enterprises in China, with features like localized model training and private data deployment.

Bentley Systems advances infrastructure AI with new tools

Bentley Systems is enhancing its infrastructure AI capabilities with new applications and a co-innovation initiative. These advancements aim to speed up the design, construction, and operation of infrastructure projects. New AI applications include predictive maintenance for bridges and roads, automated design generation, and intelligent site analysis. The company is also launching an initiative to collaborate with users and partners on developing AI solutions for infrastructure challenges, fostering innovation in areas like smart cities and transportation.

Intel plans energy-efficient AI chip for 2026

Intel is developing a new energy-efficient AI chip, codenamed Crescent Island, for data centers, aiming for a 2026 launch. This chip will focus on inference, the process where AI models perform tasks after training, and is designed to offer strong performance per dollar. Intel aims to capture a share of the growing AI hardware market, which has been dominated by competitors like AMD and Nvidia. The company plans to release new data center AI chips annually, matching the pace of its rivals.

New certificate focuses on human-AI collaboration

Central Michigan University (CMU) is offering a new graduate certificate focused on integrating artificial intelligence into careers. This four-course program aims to teach students how to understand and use AI effectively across various fields like business and science. The certificate emphasizes the relationship between people and technology, encouraging a partnership where humans provide creativity and AI handles other tasks. It covers AI basics, innovations, creativity development, and ethical considerations, accepting any applicant with a bachelor's degree.

Consumers embracing AI tools, analysts report

Analysts from Wedbush report that consumer adoption of generative AI products is reaching a critical point. Their survey indicates that about 75% of consumers use AI products weekly or daily, showing increased engagement. Chatbots are evolving into AI agents with everyday uses, and AI capabilities are being integrated into hardware. Consumer sentiment towards AI has improved, with offerings like Google's AI Overviews and AI Mode being perceived positively. The survey also noted healthy expansion and adoption of autonomous vehicles.

AI literacy is key for the future

Fluency in artificial intelligence will be a defining characteristic of the 21st century. Understanding AI is crucial for navigating the evolving landscape of work and technology. This involves recognizing the vital truths about AI literacy that will shape future careers and societal advancements. Developing this understanding will empower individuals and organizations to effectively utilize AI's potential.

Athena Security uses AI to stop data breaches in call centers

Athena Security has launched an AI-powered system to detect cell phones and smart glasses in business process outsourcing (BPO) and call centers. This technology aims to prevent data breaches, ensure compliance with regulations like PCI and HIPAA, and protect customer privacy in real time. The system identifies unauthorized recording devices, alerting security teams before data can be compromised. It provides detailed reports, integrates with access control, and can trigger automated HR notifications for policy violations.

Sources

AI Agents Oracle Fusion Applications Large Language Models (LLMs) AI Marketplace Finance Automation Supply Chain Optimization AI-Generated Content Content Quality Search Engine Performance Generative AI AI Ethics Bias in AI Copyright Deepfakes Enterprise AI On-Premise AI Infrastructure AI Predictive Maintenance AI Hardware Data Centers Energy-Efficient Chips AI Inference Human-AI Collaboration AI Literacy Data Breach Prevention Call Center Security Customer Privacy