Agentic AI fuels the development of self-governing systems that learn, adjust, and interact with one another. Stay informed on this page for insights into its influence on employment and ethical considerations.
In the coming years, agentic AI is poised to deliver not just swift technological advancements, but also a profound societal shift, fundamentally altering how we live, work, and engage with our environment. This change is accelerating rapidly. Gartner, a leading research firm, projects that “by 2028, 33% of enterprise software applications will incorporate agentic AI, a substantial increase from under 1% in 2024, facilitating 15% of routine work decisions to be made independently.”
In contrast to conventional AI, which usually adheres to predefined rules or algorithms, agentic AI adapts to novel scenarios, learns from past experiences, and functions autonomously to achieve objectives without human oversight. Essentially, agentic AI grants systems the capability to operate independently, making choices and performing tasks — including direct communication with other AI agents — with minimal to no human input.
Agentic AI will equip machines with extraordinary intelligence for interacting with the physical world, enabling them to execute intricate tasks within fluid environments. This could prove particularly beneficial for sectors grappling with workforce shortages or dangerous conditions. Nevertheless, the proliferation of agentic AI also introduces significant security and ethical dilemmas. Establishing robust governance frameworks and thorough testing will be crucial to guarantee these autonomous systems function securely, transparently, and responsibly.
Stay updated with continuous agentic AI coverage from Computerworld and other Foundry publications by following this page.
Latest Agentic AI News & Expert Insights
Forward Networks Unveils Agentic AI System Leveraging Network Digital Twin
January 30, 2026: Introducing the new Forward AI feature, which enhances the vendor’s digital twin technology. It empowers network teams to pose intricate queries, analyze network performance, confirm results, and securely automate operational workflows.
Preparing Enterprise Architecture for the Agentic AI Era
January 22, 2026: Despite C-suite executives reporting investments in agentic AI, large organizations often find their intricate enterprise architectures challenged by the technology’s requirements.
IBM Launches ‘Enterprise Advantage’ Consulting Service to Scale Agentic AI
January 20, 2026: IBM has introduced its new Enterprise Advantage consulting service. This offering aims to assist CIOs in transitioning their agentic and other AI applications from pilot stages to full-scale production.
EY Executive Warns: Agentic AI Challenges Are Just the Beginning
January 15, 2026: Businesses finding it difficult to manage the emergence of AI agents should prepare for what’s next: even more sophisticated agentic AI technologies are rapidly approaching, encompassing advancements like physical AI (robotics) and quantum computing.
Mitigating Agentic AI Risk: Insights from the OWASP Top 10
December 19, 2025: Large Language Model (LLM)-powered chatbots pose risks frequently highlighted in daily news. While chatbots are restricted to answering queries, AI agents can access data and tools to perform tasks, rendering them vastly more powerful — and potentially more hazardous for organizations.
Agentic AI in 2026: A Mixed Picture, Not Yet Mainstream
December 18, 2025: Agentic AI appears to be experiencing a widespread, simultaneous adoption. However, statistics reveal a different story: while 39% of organizations surveyed by McKinsey report experimenting with AI agents, a mere 23% have successfully integrated them into even a single business function
Addressing Governance & Trust: Key to Agentic AI Adoption
December 18, 2025: While truly autonomous agentic AI remains a distant prospect, AI agents are progressively integrating into enterprise software and operational workflows. Gartner forecasts that 40% of enterprise software will incorporate task-specific AI agents by late 2026, building upon the current trajectory of embedded AI assistants.
Nvidia Champions Open Infrastructure for Agentic AI with Nemotron 3
December 15, 2025: Nvidia asserts that AI agents necessitate an open infrastructure to effectively collaborate, coordinate, and perform tasks over extensive contexts and durations. The company believes its newly introduced Nemotron 3 family of open models provides this essential solution.
Microsoft Reduces M365 Copilot Price for SMBs, Enhances Free Copilot Chat
November 19, 2025: Microsoft has declared a price reduction for Microsoft 365 Copilot for small and medium-sized businesses, effective next month. Microsoft 365 Copilot for Business will now be available at $21 per user, per month for all Microsoft 365 Business plan subscribers, a decrease from the previous $30 monthly fee.
Microsoft Fabric IQ Introduces Semantic Intelligence Layer to Fabric
November 19, 2025: Microsoft assures businesses improved data comprehension for both human employees and autonomous agents via Fabric IQ, although industry analysts express concerns regarding potential deployment challenges and vendor lock-in.
Microsoft Introduces Agent 365 to Combat AI ‘Agent Sprawl’ in IT
November 18, 2025: With the increasing deployment of AI agents across businesses, IT departments face the challenge of managing and securing these AI systems as they integrate with corporate data. Microsoft’s Agent 365 (A365) addresses this by providing a new ‘control plane’ that enables clients to deploy and oversee their agents effectively.
The Evolution of Enterprise Automation: From Chatbots to Agentic AI Colleagues
November 17, 2025: A novel generation of agentic AI is emerging, comprising systems that not only engage in conversation but also reason, strategize, and execute within enterprise processes. These are no longer mere talking assistants; they are intelligent digital colleagues.
Enterprise IT Overhaul: Re-architecting Your Stack for Agentic AI
November 10, 2025: For CIOs, the focus has shifted beyond large language models (LLMs) to the crucial next phase: agentic AI. This involves autonomous systems designed to reason, plan, and perform multi-step tasks across the enterprise. Agentic AI has arrived, and CIOs are now tasked with its orchestration.
October 23, 2025: Agentic AI is poised to revolutionize how businesses generate value, yet many enterprises remain unprepared. The core issue isn’t the technology itself, but rather the strategic planning and implementation. Numerous pilot projects falter because CIOs haven’t established the necessary AI systems, safeguards, and organizational culture to transition beyond mere experimentation.
AI Agents Could Alleviate Key Retail Data Challenges
October 21, 2025: Numerous retail sector difficulties stem from inconsistent product data. The question is whether agentic AI can sufficiently refine this data to create a significant impact, and if similar benefits could extend to other industries.
Agentic AI’s Transformative Effect on SaaS and Partner Ecosystems
October 16, 2025: The landscape of enterprise technology is reaching a pivotal moment, with agentic AI reshaping partner ecosystems. These are evolving from human-driven application integration networks into self-orchestrating, intelligent, and autonomous systems.
Salesforce Enhances Agentic AI Offering with Agentforce 360
October 13 2025: Salesforce unveiled a fresh iteration of Agentforce, claiming it provides “the quickest route from AI prototypes to production-ready agents” for teams. However, with many features either pending or still in pilot/beta stages, the actual implementation speed may vary.
Google Positions Gemini Enterprise as New Gateway for Agentic AI in the Workplace
October 9, 2025: Google has launched an AI assistant designed as a central platform for users to access and synchronize AI agents automating work tasks. Gemini Enterprise, succeeding last year’s Agentspace app, also incorporates enhanced enterprise search capabilities, enabling clients to leverage data from various organizational business applications.
Oracle Boosts Fusion Cloud CX with Embedded Agentic AI Automation for CX Leaders
October 7, 2025: Oracle is integrating new pre-configured agents into its Advertising and Customer Experience Cloud (Fusion Cloud CX). This aims to enhance enterprise operational efficiency through the automation of sales, service, and marketing workflows.
IBM Highlights Agentic AI Orchestration and Cryptographic Risk Management
October 7, 2025: IBM watsonx Orchestrate now includes over 500 tools and adaptable, domain-specific agents from both IBM and external developers. Noteworthy enhancements to watsonx Orchestrate include AgentOps functionalities, providing real-time oversight and policy-driven governance for enhanced observability.
Self-Learning AI Agents: A New Paradigm for Operational Workflows
October 6, 2025: Google’s recent whitepaper, “Welcome to the Era of Experience,” indicates a transformative shift in AI agent training methodologies. Google posits that enabling AI agents to learn from other agents’ experiences, rather than exclusively from human-curated data, will significantly advance autonomous AI capabilities.
Are Your Agentic AI Initiatives Poised for Success?
October 3, 2025: Anushree Verma, a Gartner senior director analyst, observes that the majority of current agentic AI projects remain in nascent experimental or proof-of-concept stages, largely driven by buzz and frequently misdirected.
Microsoft Introduces Framework for Developing Agentic AI Applications
October 3. 2025: Microsoft has launched the Microsoft Agent Framework, an open-source SDK and runtime designed for creating, coordinating, and implementing AI agents and complex multi-agent workflows, offering comprehensive support for both .NET and Python.
Salesforce Trusted AI Foundation Aims to Empower the Agentic Enterprise
October 2, 2025: With Salesforce deepening its commitment to agentic AI, the company’s objective is to transform the Salesforce Platform from a mere AI development application into a foundational operating system for extensive enterprise AI ecosystems.
ServiceNow’s AI Experience: An Agentic AI User Interface for the Now Platform
September 30, 2025: ServiceNow today unveiled the AI Experience (AIx), a context-aware, multimodal AI-powered user interface for its Now platform. Grounded in the ServiceNow AI Platform and Now Assist, the company characterizes AIx as “a cohesive, conversational entry point to enterprise AI.”
MCP: Empowering AI Agents to Execute Real-World Actions
September 29, 2025: We’re all familiar with powerful large language models (LLMs) capable of conversing, writing, and even generating code. While these have transformed technological interaction, an even more thrilling development is now emerging. Explore how MCP is converting chatbots into active performers, potentially reshaping the future of work.
Agentic AI in Cybersecurity: Bridging Expectation and Reality
September 29, 2025: Agentic AI has transitioned from laboratory demonstrations to practical Security Operations Center (SOC) implementations. Diverging from conventional automation scripts, software agents are engineered to respond to signals and intelligently execute security workflows, including log correlation, alert enrichment, and initial containment measures.
Walmart Aims to Capitalize on Agentic AI
September 19, 2025: Walmart is resolute in maintaining its leading position in retail. According to Hari Vasudev, US EVP and CTO, the $815 billion company’s artificial intelligence strategy will be instrumental in achieving this goal.
Five Steps for Implementing Agentic AI Red Teaming
September 17, 2025: The widespread adoption of agentic AI applications by enterprises escalates the complexity and scope of potential attack surfaces. However, there’s optimism that AI agents can also be leveraged for defensive strategies, adapting traditional red teaming and penetration testing methods for the AI landscape.
Google Introduces Payments Protocol for AI Agents in Collaboration with Leading Financial Firms
September 17. 2025: Google announced the Agent Payments Protocol (AP2), an open framework co-developed with over 60 payments and technology firms. This protocol is designed to facilitate secure, agent-initiated transactions across various platforms and payment methods.
CrowdStrike Boosts Agentic AI Commitment with New Offerings Post-$290M Onum Acquisition
September 16, 2025: During its Fal.Con conference, the cybersecurity leader unveiled its Agentic Security Platform and Agentic Security Workforce. This initiative seeks to outmaneuver AI-powered threats through real-time intelligence, automation, and a unified defensive language.
Adobe General Availability: Agent Orchestrator and New AI Agents
September 10, 2025: Adobe has made its Experience Platform (AEP) Agent Orchestrator and six new AI agents generally available. These tools are crafted to construct, deploy, and refine customer experience and marketing campaigns. Additionally, the company launched Experience Platform Agent Composer, enabling the customization and configuration of AI agents according to brand standards and corporate policies.
Reimagining the IT Organization for the Agentic AI Epoch
September 2, 2025: The emergence of agentic AI necessitates that CIOs prepare to realign strategic IT objectives, address novel security vulnerabilities, and retrain their workforce for this evolving era.
Constructing a Production-Ready Agentic AI Platform
September 2, 2025: To achieve agentic AI systems that can reason, act, and adapt effectively at scale, critical components include modular orchestration, robust fail-safe design, hybrid memory management, and seamless LLM integration with specialized domain knowledge.
Agentic AI: A Potential Security Nightmare for CISOs?
September 2, 2025: Businesses are undoubtedly expanding their use of agentic AI across various workflows, such as software development and customer support automation. This raises crucial questions for CISOs: What cybersecurity threats does agentic AI introduce, and what additional effort will be required to realize their organizations’ agentic AI ambitions?
Microsoft Researchers Pioneer New Video AI Agent Technologies
September 2, 2025: Researchers at Microsoft are innovating technologies for a novel category of video AI agents, designed to navigate and analyze three-dimensional environments prior to making decisions. This technological framework, dubbed MindJourney, employs diverse AI techniques to comprehend and assess 3D spaces, infer environmental conditions, and forecast motion.
Salesforce AI Research Introduces Advanced Tools for AI Agents
August 27, 2025: Salesforce revealed a new simulated enterprise environment, benchmarking tool, and an account data unification tool. These innovations are engineered to assist customers in their transition to agentic AI-driven enterprises.
Agentic AI: A Cybersecurity Revolution with Qualifications
August 18, 2025: A prominent subject at this year’s Black Hat conference was the rapid rise of AI tools utilized by both cyber attackers and defenders, with a notable emphasis on leveraging agentic AI to bolster cybersecurity initiatives.
Four Perspectives on AI Agent Management Within the Enterprise
August 11, 2025: With the widespread adoption of AI agents, it’s crucial to shift focus from AI agent builder platforms to robust AI orchestration and GRC platforms. This also brings forth questions regarding which internal enterprise teams should oversee AI agents and their operational protocols.
AI Agents’ Intelligence: Less Than Stellar, Reports Indicate
July 31, 2025: Security researchers are reinforcing a fact long understood by information security professionals: AI agents lack significant intelligence and can be readily manipulated into performing ill-advised or hazardous actions
AI Agents to Disrupt SaaS Market? Experts Divided
July 31,2025: With growing enthusiasm around AI agents, a hypothesis is gaining traction that these innovative AI tools could render the SaaS business model obsolete. While not a novel concept, this assertion is re-emerging, notably echoed by figures such as Microsoft CEO Satya Nadella.
Agentic AI: Reshaping Database Management
July 28, 2025: Generative AI has already significantly transformed database management. Now, leveraging AI’s inherent ability for pattern recognition, teams can employ generative AI to rapidly and precisely analyze datasets, identify anomalies, and uncover invaluable insights.
Confidential Computing Gains Traction for Data Security as AI Agents Go Mainstream
July 21, 2025: Analysts and IT leaders caution against neglecting data security as AI agents increasingly manage internal data flows within IT environments. To counter this, several technology firms are adopting “confidential computing,” a long-standing concept that is experiencing renewed relevance with the advent of generative AI.
Agentic AI: Revolutionizing Mobile Apps and Field Operations
July 15, 2025: Agentic AI is set to inaugurate novel mobile AI experiences. Industries such as construction, manufacturing, and healthcare, which rely heavily on field operations, stand to gain significantly from mobile AI agents and the enhanced operational flexibility they provide.
MCP: Propelling Agentic AI While Introducing New Security Vulnerabilities
July 10, 2025: The Model Context Protocol (MCP) has rapidly gained traction, with thousands of MCP servers now offered by various vendors, allowing AI assistants to interface with their data and services. As agentic AI is increasingly viewed as the future of IT, MCP’s adoption within enterprises is set to expand. However, innovations like MCP inherently carry substantial security risks.
Three Industries Where Agentic AI Is Set to Make a Significant Impact
July 4, 2024: Technology leaders from the finance, retail, and healthcare sectors share perspectives on current organizational applications of AI agents and their anticipated future influence on their respective organizations and industries.
IFS Integrates TheLoops’ Agentic AI into Industrial ERP Platform
June 27, 2025: IFS is enhancing its ERP platform with AI agent development and management functionalities through the acquisition of software startup TheLoops. This integration incorporates TheLoops’ comprehensive Agent Development Lifecycle (ADLC) platform into IFS, empowering enterprises to design, test, deploy, monitor, and optimize AI agents with native support for versioning, compliance, and performance.
Distinguishing Between AI Agents and Agentic AI
June 12, 2025: As agentic AI is still in its early stages and companies are rapidly deploying AI agents, a degree of confusion persists regarding the distinctions between “agentic AI” and “AI agents” technologies. However, specialists note an increasing clarity that while distinct, these tools are fundamentally interconnected.
RPA’s Future Intertwined with AI Agents
June 10, 2025: Robotic Process Automation (RPA) is approaching a critical juncture, with IT leaders and experts engaging in discussions about its trajectory. While some foresee more potent and autonomous AI agents supplanting this two-decade-old AI foundational technology, others anticipate a collaborative future where AI agents and RPA operate synergistically.
MCP: The Enabler of Agentic AI, But At What Security Cost?
June 2, 2025: The Model Context Protocol (MCP) is rapidly emerging as the standard for agentic AI applications to dynamically retrieve data from diverse sources. Yet, this convenience simultaneously increases its appeal to malicious actors seeking to exploit vulnerabilities in MCP implementations.
Stanford University Cancer Care: How Agentic AI Provided Critical Assistance
May 30, 2025: During Microsoft Build 2025 earlier this month, Nigam Shah, Chief Data Officer for Stanford Health Care, elaborated on agentic AI’s potential to revolutionize healthcare, particularly in oncology. He noted that administrative burdens contribute to physician burnout, making AI assistance crucial.
Red Hat Summit: Major Focus on Agentic AI, LLMs, and Industry Standards
May 26, 2025: Red Hat revealed various enhancements to its flagship enterprise Linux product, encompassing improved security, container support, and edge device compatibility. However, AI emerged as the predominant theme of the discussions.
Leveraging Agentic AI within Firebase Studio
May 21, 2025: Integrating agentic AI into software engineering can take multiple forms. Some agents function autonomously outside the developer’s workspace, akin to a remote programmer. Conversely, other agents operate directly within the developer’s environment. Google’s Firebase Studio exemplifies the latter, utilizing Google’s Gemini LLM to aid developers in prototyping and constructing applications.
Microsoft’s NLWeb: Transforming Websites into AI Applications
May 20. 2025: NLWeb, or Natural Language Web, is an offering from Microsoft enabling enterprises to create natural language interfaces for their websites. This allows users to query website content using their preferred model and data. Microsoft aims to establish its dominance in the agentic web domain ahead of competitors like Google and Amazon.
Databricks to Acquire Open-Source Database Startup Neon for Next-Gen AI Agents
May 14, 2025: Agentic AI demands a novel architectural approach, as conventional workflows hinder both speed and performance. To lead the next wave of application development, Databricks has declared its intent to acquire Neon, an open-source serverless Postgres firm.
The Agentic Mesh: Envisioning the Future of Enterprise Agent Ecosystems
May 13, 2025: Nvidia CEO Jensen Huang anticipates the imminent presence of “hundreds of millions of digital agents” within enterprises. Microsoft CEO Satya Nadella goes further, asserting that “Agents will replace all software.”
Google to Introduce Developer AI Agent at I/O, Broaden Gemini Integration
May 13, 2025: Google is anticipated to introduce a new AI agent at its annual I/O conference, designed to assist software developers with task management throughout the coding lifecycle, covering execution and documentation. This tool has reportedly been previewed to internal staff and chosen external developers.
Nvidia and ServiceNow Collaborate on Open-Source Model for AI Agent Creation
May 6, 2025: Nvidia and ServiceNow have co-developed an AI model designed to assist companies in building adaptive AI agents for automating enterprise workloads. The open-source Apriel model, slated for general availability on HuggingFace in Q2, will facilitate the creation of AI agents capable of autonomous decision-making in IT, HR, and customer service domains.
IT Leaders Harness Agentic AI for Business Process Optimization
April 30, 2025: Jay Upchurch, CIO at SAS, advocates for agentic AI to improve sales, marketing, IT, and HR operations. He states, “Agentic AI can boost sales effectiveness by automating lead scoring, aiding in customer segmentation, and refining targeted outreach strategies.”
Microsoft Predicts AI Agents Will Restructure Organizations, Dissolving Traditional Roles
April 28, 2025: Microsoft anticipates that as businesses progressively automate workflows with agents, conventional departmental structures like finance, marketing, and engineering could diminish, leading to an ‘agent boss’ paradigm focused on delegating and orchestrating numerous bots.
Cisco Automates AI-Powered Security Across Enterprise Networks
April 28, 2025: Cisco unveiled a suite of AI-powered security improvements, featuring enhanced threat detection and response in Cisco XDR and Splunk Security, the introduction of new AI agents, and seamless integration between Cisco’s AI Defense platform and ServiceNow SecOps.
Agentic AI: The Discrepancy Between Hype and Implementation
April 25, 2025: Agentic AI offers the vision of autonomous systems that can reason, decide, and adapt fluidly to evolving circumstances. The appeal is in machines operating without human input, optimizing processes and boosting efficiency immensely. However, as David Linthicum cautions, it’s wise not to be swayed by overly ambitious claims.
Agents Have Arrived: Ensuring Visibility into Their Actions
April 23, 2025: As the agentic AI models driving individual agents become more sophisticated, the potential applications for agentic AI systems grow bolder, simultaneously escalating the inherent risks exponentially.
Agentic AI Potentially Entering Cryptocurrency Trading: What Are the Risks?
April 15, 2025: Agentic AI offers to streamline intricate processes like cryptocurrency trading and digital asset management. This is achieved by automating decisions, improving accessibility, and abstracting technical complexities.
Agentic AI: A Double-Edged Sword for Security Professionals
April 15, 2025: Cybersecurity faces a critical juncture with agentic AI. This potent technology can rapidly generate vast amounts of code, detect and neutralize threats, and be deployed with decisive defensive capabilities, serving as a significant force multiplier and productivity booster. However, its immense power is offset by a lack of consistent dependability, presenting a core dilemma.
AI Agents Versus Agentic AI: Enterprise Preferences Explored
April 15, 2025: With the narrative around AI agents evolving into “agentic AI,” it appears to echo the broad “big-cloud-AI” approach that enterprises previously dismissed. This prompts questions: What do businesses truly seek from AI agents, why might “agentic” thinking be misguided, and what is the ultimate direction of this technology?
Multicloud Agentic AI Experiment: Key Takeaways
April 11, 2025: It has been demonstrated that constructing a decentralized AI system capable of operating effectively across multiple public cloud providers is indeed feasible, albeit both complex and expensive.
Google Enhances Vertex AI with Open Source Framework for Agent Building
April 9, 2025: Google is integrating a new open-source framework for agent creation into its Vertex AI platform, complemented by additional updates to facilitate agent deployment and upkeep. This open-source Agent Development Kit (ADK) will enable the construction of an AI agent with fewer than 100 lines of Python code, with plans to support more languages later in the year.
Google’s Agent2Agent Protocol Seeks to Unify Disparate AI Agents
April 9, 2025: Google has unveiled Agent2Agent (A2A), a new open protocol designed to link agents across diverse ecosystems. At its annual Cloud Next conference, Google stated that A2A will accelerate enterprise agent adoption by resolving the communication barrier between agents developed on different vendor platforms.
Riverbed Fortifies AIOps Platform with Predictive and Agentic AI
April 8, 2025: Riverbed introduced enhancements to its AIOps and observability platform, which the company states will revolutionize how IT departments manage intricate distributed infrastructure and data more effectively. These expanded AI functionalities are designed to simplify AIOps management and facilitate a shift from reactive to predictive IT operations.
Microsoft’s Latest AI Agents Offer Transparency into Their Reasoning
March 26, 2025: For those curious about AI agent operations, Microsoft’s new Copilot AI agents now offer live insights into their data analysis and sourcing methods for generating outcomes. The Researcher and Analyst agents delve into organizational data sources like email, chat, or databases to compile research reports, evaluate strategies, or transform raw information into actionable intelligence.
Microsoft Introduces AI Agents for Automated Cybersecurity in Response to Growing Threats
March 26, 2025: Microsoft has rolled out a new suite of AI agents for its Security Copilot platform. These are engineered to automate crucial cybersecurity tasks, addressing the escalating complexity and speed of digital threats faced by organizations. The tools specialize in areas like phishing detection, data safeguarding, and identity governance.
Understanding the Functionality of AI Agents
March 24, 2025: Harnessing machine learning, natural language processing (NLP), and contextual comprehension, AI agents possess the capability to function autonomously, and even collaborate with other agents to accomplish intricate assignments.
Top 5 Business Applications for AI Agents
March 19, 2025: AI agents are set to revolutionize enterprises, ranging from automating routine chores to enhancing customer service and fostering innovation. Nevertheless, establishing robust safeguards will be paramount for successful implementation.
Nvidia Introduces AgentIQ Toolkit to Bridge Disparate AI Agents
March 21, 2025: As businesses increasingly integrate agents and agentic AI to enhance application efficiency, Nvidia recently launched AgentIQ toolkit. This new open-source software library assists developers in linking various agents and agent frameworks..
Deloitte Unveils Zora AI, Its New Agentic AI Platform
March 18, 2025: During Nvidia GTC 2025 in San Jose, Deloitte introduced Zora AI, a novel agentic AI platform. It features a suite of AI agents tailored for finance, human capital, supply chain, procurement, sales and marketing, and customer service. This platform leverages Deloitte’s expertise across its technology, risk, tax, and audit divisions, and integrates seamlessly with all leading enterprise software platforms.
Agentic AI’s Emergence: Is Society Prepared for Autonomous Technology?
March 15, 2025: Prior AI development largely centered on Large Language Models (LLMs), aiming to extract knowledge from unstructured data via a question-and-answer format. Agentic AI transcends this, enabling users to assign complex, multi-step tasks that can adapt dynamically.
Identifying Business Processes Suitable for Agentic AI Adoption
March 11, 2025: Deloitte forecasts that 25% of companies leveraging generative AI will initiate agentic AI pilot programs or proofs of concept in 2025, a figure projected to rise to 50% by 2027. The firm also suggests that certain agentic AI applications might integrate into existing workflows across specific industries and use cases as early as this year.
AWS Establishes New Division, Intensifies Focus on Agentic AI Automation
March 6, 2025: Amazon Web Services (AWS) clients can anticipate increased discussion surrounding agentic AI, following news of the company’s formation of a specialized division dedicated to advancing this technology on its platform.
Agentic AI: Decision-Making and Problem-Solving Mechanisms
March 6, 2025: The recent significant advancement in Generative AI (GenAI) is the emergence of autonomous AI agents. Agentic AI relies on AI-powered applications that can perceive their surroundings, make informed decisions, and execute actions to attain defined objectives.
CIOs Optimistic About AI Agents, While IT Staff Remain Skeptical
Feb. 4, 2025: The majority of CIOs and CTOs express strong confidence in agentic AI, anticipating its crucial role in their organizations. However, IT professionals responsible for its implementation harbor considerable reservations.
The Coming AI Wave: Agents — Proceed with Caution? Is Now the Time to Invest?
Jan. 13, 2025: The subsequent phase of artificial intelligence (AI) adoption is actively progressing, with AI agents — independent AI applications capable of performing intricate workflows with little to no direct human supervision — being deployed throughout the technology sector.
AI Agents: A Unprecedented Technological Shift
Dec. 1, 2024: The arrival of AI agents signifies a profound transformation in artificial intelligence’s influence across businesses, governments, and daily life.
AI Agents Are Entering the Workforce: Essential Business Insights
Nov. 21, 2024: AI agents are projected to become ubiquitous, streamlining intricate business processes and handling routine employee tasks. This is, at least, the assertion of numerous software vendors rapidly integrating intelligent bots into a broad spectrum of workplace applications.
Agentic AI Swarms: Imminent Arrival
November 1, 2024: OpenAI has unveiled an experimental framework named Swarm, described as a “lightweight” system facilitating the creation of agentic AI swarms. These swarms consist of autonomous AI agent networks capable of collaborative execution of complex tasks without human oversight, as stated by OpenAI.
Optimal Timing for Agentic AI Investment: A Key Question
October 31, 2024: Despite software vendors asserting the ease of implementing their current agentic AI solutions, analysts contend that reality is quite different.
