Rather than waiting for the agentic revolution, smart professionals are exploring automation with their colleagues to ensure the human stays in the loop during the shift to an AI-enabled organization. Professionals who want to feel more confident about agents should gravitate toward people who've had positive experiences with AI.
Liz Agent represents a major step forward in how our clients can interact with Seedtag's intelligence and use it to think through and strategise their campaigns. AI has always been part of our DNA. By leveraging agentic AI, we are allowing clients to plan and activate campaigns via natural conversation with Liz, empowering better media planning and faster execution.
Copilot Cowork brings together long-running parallel task completion inside of Microsoft 365 Copilot, with the agent able to complete work in the background so workers can focus on other tasks. This allows you to amplify your work and be more productive while you multitask and work across all kinds of different Microsoft 365 applications.
Unlike traditional AI systems that wait for prompts, agentic AI systems understand goals, make decisions, initiate actions, and continuously adapt based on outcomes. In Learning and Development (L&D), this marks a fundamental shift, from AI as a support tool to AI as an active learning partner.
In order to use agents or in order to use AI in IT operations, all of your systems need to be interconnected and what interconnects all of your systems is an automation platform. Interconnecting systems is only a piece of the puzzle though. There is also some well-founded concern about the autonomous AI systems we are moving towards. AI agents may make decisions and inferences, but enterprises remain hesitant to allow direct execution on production systems.
The standout feature of the Galaxy S26 Ultra is something no other phone has attempted at this level: a built-in privacy display. This is not a matte screen protector you peel out of a box or a software filter that dims your screen to a murky grey. Samsung has engineered this at the pixel level of the OLED panel itself, controlling how each pixel disperses light so that the display becomes unreadable from side angles while remaining perfectly clear head-on.
Nobody wants anything that is sloppy in terms of AI creation. Nadella was talking about AI assistants, agentic AI, augmenting work, and ensuring that the next person in the data chain understands how the output was produced. However, the CEO of Microsoft dropping the word 'sloppy' following his well-publicized request that we all move on from denigrating the output of AI is certainly an eyebrow-raiser.
AI reveals a hidden, outdated assumption: that humans will continue to serve as the "digital glue," manually connecting disparate systems, teams, and decisions. For decades, enterprise software perpetuated a model of sequential handoffs, in which people managed data entry, reconciled conflicts, chased approvals via email, and updated spreadsheets. This structure was manageable when uncertainty was low and delayed decisions were affordable.
Researchers have discovered that a compromised npm publish token pushed an update for the widely-used Cline command line interface (CLI) containing a malicious postinstall script. That script installs the wildly popular, but increasingly condemned, agentic application OpenClaw on the unsuspecting user's machine. This can be extremely dangerous, as OpenClaw has broad system access and deep integrations with messaging platforms including WhatsApp, Telegram, Slack, Discord, iMessage, Teams, and others.
AI agents need skills - specific procedural knowledge - to perform tasks well, but they can't teach themselves, a new research suggests. The authors of the research have developed a new benchmark, SkillsBench, which evaluates agentic AI performance on 84 tasks across 11 domains including healthcare, manufacturing, cybersecurity and software engineering. The researchers looked at each task under three conditions:
AI models break down words and other inputs into numerical tokens to make them easier to process and understand. One token is about ¾ of a word. OpenRouter, which helps developers access different AI models, has seen activity roughly double in the first weeks of 2026. This is measured by the number of AI tokens OpenRouter processes. OpenRouter handled 13 trillion AI tokens in the week that ended February 9. That's up from 6.4 trillion during the first week of January.
Indian IT professionals worried about 72-hour workweeks might soon face the opposite concern, as Bengaluru-based outsourcing giant Infosys has partnered with Anthropic to bring agentic AI to telecommunications companies and other regulated industries. Anthropic and Infosys announced their collaboration plans on Tuesday, describing agentic AI as a core focus of their partnership. According to Infosys CEO Salil Parekh, the pair wants to combine their respective domain expertise to give businesses around the world a shot at actually getting some returns on their AI investments.
Rezolve AI ( NASDAQ:RZLV) haș faced quite the thrashing over the past few months. The AI agent platform's shares are down by more than 70% from all-time highs that came near the end of 2025. That also includes a 20% year-to-date drop, but the company's financials and long-term tailwinds make it a promising buy-the-dip candidate. The stock has a market cap below $1 billion, so there is a good opportunity for its valuation to surge if it continues to deliver excellent results.
The emergence of so-called "agentic AI," systems that can perform tasks independently and support decisions, plays a central role in this. Two-thirds of respondents believe that there is currently more hype surrounding agentic AI than previous technological developments. At the same time, three-quarters are still discovering how this technology can be used effectively. According to Basware CEO Jason Kurtz, the time for experimentation is over; executives expect concrete results.
The real change begins when AI stops assisting and starts acting. When systems resolve issues, trigger workflows, and make routine decisions without human involvement, the work itself changes. And when the work changes, the job has to change too. Let's take the example of an airline and lost luggage. Generative AI can explain what steps to take to recover a lost bag. Agentic AI aims to actually find the bag, reroute it, and deliver it.
Whether or not 2026 really is the big year of physical AI (I think it's likelier to be the year when agentic AI breaks out) and robotics, much hype surrounds recent comments made by the great Nvidia ( NASDAQ:NVDA | NVDA Price Prediction) CEO Jensen Huang, who believes his firm has achieved a "ChatGPT moment" with regards to physical AI.
According to the company, the Bevri POS is designed to complete the 1003 loan application, collect and validate income and asset documentation, run Desktop Underwriter and Loan Product Advisor findings for Fannie Mae and Freddie Mac, and generate underwriting outcomes earlier in the process. The system also aims to reduce repetitive data entry through autonomous task execution. The company also said the platform continuously evaluates next steps in a loan file, resolving gaps and surfacing insights for loan officers.
Autonomy is an output of a technical system. Trustworthiness is an output of a design process. Here are concrete design patterns, operational frameworks, and organizational practices for building agentic systems that are not only powerful but also transparent, controllable, and trustworthy. In the first part of this series, we established the fundamental shift from generative to agentic artificial intelligence. We explored why this leap from suggesting to acting demands a new psychological and methodological toolkit for UX researchers, product managers, and leaders.
As we move deeper into the second half of the decade, businesses across every industry are recalibrating their digital strategies around artificial intelligence. Whether you're a startup founder, CTO, or part of an AI software development company, the accelerating pace of innovation is reshaping how systems are built, deployed, and maintained. 2026 is proving to be the most transformative year yet, with breakthroughs not only in model capabilities but also in the frameworks, ethics, infrastructure, and methodologies that support them.
With the slow death of the search bar, brands can no longer rely on SEO to help how they rank on a search results page, as every interaction, from discovery to purchase, is increasingly filtered through algorithms, making brand story a strategic asset. The shift reflects "a generational change" in consumer behavior, said John Harmon, senior retail and tech analyst at Coresight Research.
