#agentic-ai

#agentic-ai

Instead, it's a computer use agent (CUA) that can complete tasks for users by taking over the mouse or keyboard. "Fara-7B operates by visually perceiving a webpage and takes actions like scrolling, typing, and clicking on directly predicted coordinates," the company explained in a . "It does not rely on separate models to parse the screen, nor on any additional information like accessibility trees, and thus uses the same modalities as humans to interact with the computer."

It seems like an oversimplification, but many real estate agents don't realize they're using AI, or even interacting with AI that's in large part because agentic AI is becoming more commonplace. AI has already had a meaningful impact on the day-to-day lives of real estate agents, even if they don't realize it whether it's the use of major graphic-design platforms like Canva, social media apps, or embedded AI tools within search engines.

We all knew it was only a matter of time before agentic AI hit the mobile web browser. I've tested agentic AI on the desktop and, quite honestly, I've not been all that impressed. Why? Because doing things on a desktop is really easy for me. However, doing things on a mobile device is not quite so efficient. First of all, my mobile typing skills would be laughed at by Gen Z.

Microsoft is pushing agentic AI deeper into the PC with Fara-7B, a compact computer-use agent (CUA) model that can automate complex tasks entirely on a local device. The experimental release, aimed at gathering feedback, provides enterprises with a preview of how AI agents might run sensitive workflows without sending data to the cloud, while still matching or outperforming larger models like GPT-4o in real UI navigation tasks.

"Unlike traditional chat models that generate text-based responses, Computer Use Agent (CUA) models like Fara-7B leverage computer interfaces, such as a mouse and keyboard, to complete tasks on behalf of users," Microsoft said in a blog post. "With only 7 billion parameters, Fara-7B achieves state-of-the-art performance within its size class and is competitive with larger, more resource-intensive agentic systems that depend on prompting multiple large models."

It was essentially trading the way a trafficker would, but automated. It looked at insertion orders (IOs) that came in [from brands and media buyers], it set up the campaigns, it set the campaigns live, and it started optimizing them. We were like: "This is amazing!" Well, for about a day. It spent a few thousand dollars in one go. And then we got scared.

Today's businesses face this pressing question: how do they reskill and keep individuals time and again as the technology revolutions gather speed? Most corporate learning architectures are by-the-book, rigid, and off the beat, divorced from tangible business results. With accelerating automation, hybrid workplaces, and skill obsolescence, responsive, data-driven, and personalized learning is a necessity, not a choice. Deloitte's Global Human Capital Trends report states that nearly

According to research from MIT Sloan Management Review and Boston Consulting Group (BCG), agentic artificial intelligence (AI)-based applications will lead to major management headaches. This is because technology purchases have traditionally been considered either as a substitute or a complement to human workers. Technology automates or augments and so can either be considered as a tool or as a worker.

Agentic AI will soon be able to carry out shopping for us, interacting on our behalf with brands and retailers online. That means staying competitive means building platforms capable of interacting with both humans and AI. This could be good for humans, who will save time and mental capacity - and it can be good for brands, if they execute right.

In this week's edition of Computer Weekly, we take a closer look at reports of low workplace morale within the Police Digital Service, as its staff eagerly await the outcome of the long-promised Home Office's policing reform whitepaper. Jérôme Goulard, the chief sustainability officer of Orange Business, talks us through the work he is doing to balance business objectives with IT sustainability within the organisation.

The world's largest online retailer says this amounts to "computer fraud" when not disclosed. The clash between the two companies offers "an early glimpse into a looming debate" over "agentic artificial intelligence." Perplexity is among several tech firms, including Google and OpenAI, racing "to rethink the traditional web browser around AI," with automated agents that can complete tasks like emailing or shopping.

In a new blog post, Google touted the latest shopping skills available through AI Mode, Gemini, and even AI agents. You can strike up a conversation in Google's AI mode to discuss your shopping needs. You can get shopping ideas via the Gemini app on your mobile device. You can even send an AI agent on a shopping spree to find out which items are in stock and on sale.

What is striking about BCG's findings, according to Jessica Apotheker, managing director and senior partner at Boston Consulting Group, is that the leading companies in AI are mostly the same ones that were leaders eight years ago. "What this year's report shows is that the value gap between these companies and others is widening quite a bit," she says. In other words, BCG's research shows that organisations that have invested disproportionately in technology achieve a higher return from that investment.

AdCP provides a shared language for how agents issue instructions to platforms, discovering audiences, activating them, orchestrating buys and curating supply. UCP defines the rules for how compact, privacy-safe signals can be shared so agents know what actions to take and how those actions perform. The Agentic RTB Framework, meanwhile, rewires the auction mechanics so agents can operate within the system rather than sitting on top of it as an afterthought.

We have the suspicion that the next step for AI models is to start reaching out into the world and affecting the world more broadly,

When it comes to agentic artificial intelligence, the fear of missing out factor is clear. Organizations are plopping down agents, in part, because that's what everyone else seems to be doing. But FOMO is not a business strategy. To make agentic AI work, business leaders need to ignore the hype and concentrate on establishing exactly what agents can do for them, how, and at what cost.

Tech execs pushing to get agentic AI projects into production will have to surmount complicated challenges to prevent their efforts from failing, according to the CEO of a San Francisco-based AI startup. Companies need to establish a roadmap, outline deliverables, and experiment to achieve successful project execution, Curtis Northcutt, Co-founder and CEO of Cleanlab, said in an interview last week with Computerworld. "The moment that these enterprises and these CIOs take a break or the moment that you think, 'Oh, we finally got it figured out' - that's the moment you fall behind," he said.

Every Instructional Designer (ID) knows the drill. You've completed your needs analysis, identified performance gaps, and gathered all your Subject Matter Expert content. Now comes the time-consuming task of creating detailed storyboards-formatting learning objectives, designing screen treatments, crafting assessment questions, and ensuring everything follows organizational standards. Hours turn into days as you meticulously structure content, proofread for errors, and maintain formatting consistency across dozens of screens. What if there was a way to reclaim 40% of that time by automating storyboard creation?

Artificial intelligence (AI) has taken the world in the past few years, and the broadband industry is riding the wave with agentic AI tools for customer support systems, network management, and construction management. AI has also had major cybersecurity implications this year, both in terms of increased attacks and improved tools to combat those attacks. We'll cover some major reports and developments so far this year. Then, we'll go over some of the most important ways telecoms are using AI.

For years, automation has promised to make our lives easier - and to some extent, it has. But in 2025, things feel different. Traditional automation resembles a giant "if-else" statement that struggles to adapt to diverse situations. Agentic AI changes that narrative by enabling workflows to adjust and optimize themselves for countless scenarios that were difficult for older automation tools. In October 2025, OpenAI launched its AgentKit tool for building AI agents, and let me tell you, it is glorious!

Writing Python code is complicated; managing Python programmers is complex. Editing a video is complicated; making a video go viral on YouTube is complex. Compiling a C program is complicated; doing a YOLO run when training a base model is complex. DNS lookups are complicated; running a registrar is complex. Registering CVEs is complicated; predicting how a hacker will use a CVE is complex.

Demand for software development skills in AI-related roles is set to fall next year as agentic AI accelerates across business markets, according to an IEEE industry survey. Or so says research by the global technical professional organization, which polled 400 CIOs, CTOs and IT directors in Brazil, China, Japan, India, the UK, and the US. IEEE states that nearly all professionals expect agentic AI innovation to continue at "lightning speed" in 2026, as both established enterprises and startups deepen investments and commitments to the technology.

Take the example of workflow automation software company Pegasystems, which recently celebrated a financial turnaround on the back of its switch from process automation to so-called agentic AI, causing third-quarter revenue to rise 17 percent from the previous year. "In applications, Pegasystems is working with us to take legacy applications which may have run on-prem or in a hybrid environment and modernize them in the cloud," he tells The Register. The vision is that legacy applications can be combined with newer elements and sewn together with LLM agents to present the end user with a coherent experience. Although AWS doesn't provide applications or LLMs, it is building infrastructure and tooling to support this. Under the hood, Pegasystems uses AWS Bedrock, a managed service offering a choice of foundational models through a single API.

Artificial intelligence (AI) is turning creativity from a craft of patience into a game of speed. What earlier required hours of design work and rendering now unfolds in seconds, powered by algorithms that generate, iterate and refine on command. For decades, Adobe has been the world's go-to creative tool ecosystem, even as competitors closed in. Now, the 43-year-old tech conglomerate is betting that agentic AI will define the next era of creative content production and marketing.