Adobe's LLM Optimiser is transforming AI-SEO analytics. With a 3,500% surge in AI traffic to U.S. retail sites, the stakes for marketers have never been higher.
HubSpot's new Breeze AI Agents are shaking up the marketing world, promising to cut support-ticket time by 40%. Dive into how these agents are transforming content creation.
Bing Webmaster Tools has launched a suite of AI-driven features, transforming the SEO landscape. This update promises rapid indexation and enhanced optimisation, revolutionising how webmasters approach search visibility.
Supabase's recent outage is a cautionary tale for digital platforms. Discover the implications for SEO and how to safeguard your site.
Brussels hints at a delay in EU AI Act enforcement. Marketers face a dual challenge: prepare for both delay and on-time compliance.
GPT-5 is set to revolutionise AI with its advanced capabilities while introducing a new ad-supported model. Discover the opportunities for brands to leverage this technology.
Google's June 2025 crackdown on AI content has rewritten the SEO rulebook. Discover the stakes and strategies to stay ahead.
According to a recent survey conducted by AI automation firm Allganize, nearly 60% of U.S. enterprises plan to adopt AI agents in the next 12 months. The findings underscore a dramatic shift: businesses are moving beyond passive analytics toward autonomous systems that sense, decide and act across workflows. This marks a new chapter in enterprise automation—one driven not by dashboards, but by agents.
Harvey AI, the generative legal tech startup backed by OpenAI’s Startup Fund, is reportedly in advanced talks to raise more than $250 million—setting its sights on a $5 billion valuation. The company is leading a new era in legal services by enabling AI agents to draft contracts, summarise case law, and automate legal analysis. It reflects a broader trend: the professional services industry is rapidly embracing intelligent agents, not just tools.
According to the latest Ramp AI Index, OpenAI has become the front-runner in enterprise AI adoption—outpacing traditional incumbents and newer challengers. As businesses move from experimentation to scaled deployment of intelligent systems, OpenAI’s mix of developer tools, APIs, and pre-built agents is proving especially attractive across sectors ranging from financial services to logistics and law.
As enterprises double down on agentic AI, companies like Microsoft and HubSpot are adopting smaller, open-source language models to develop domain-specific agents. This strategic pivot reflects a growing demand for transparency, efficiency and modularity in enterprise AI—marking a shift away from dependency on large, centralised models.
Blue Yonder, a global leader in digital supply chain transformation, has announced the release of its latest Cognitive Solutions—powered by a new generation of AI agents. These autonomous agents are designed to sense, analyse and act across complex enterprise workflows, delivering near real-time responses to supply chain volatility and business disruptions.
Palo Alto Networks, a global cybersecurity leader, has announced its intent to acquire Protect AI—a fast-rising specialist in securing machine learning infrastructure. The acquisition is set to close by Q1 2026 and marks a strategic pivot: as agentic AI systems proliferate, securing the models, data pipelines, and decision processes behind them has become mission-critical.
In a high-profile public sector AI deployment, the BBC has announced a £40 million agreement with outsourcing firm Serco to integrate artificial intelligence into its audience services operations. Beginning April next year, AI agents will help sort, respond to, and triage viewer complaints—raising questions about efficiency, tone, and the role of human oversight in public-facing services.
Agentic AI has officially made the leap from experimental concept to strategic imperative. Recognised by analysts as one of the top technology trends for 2025, these intelligent, autonomous systems are beginning to shape how enterprises architect software, engage users, and deliver outcomes. But what defines agentic AI, and why now?
In its most ambitious acquisition yet, OpenAI has purchased AI coding startup Windsurf for an estimated $3 billion. Formerly known as Codeium, Windsurf is a leading AI-assisted development tool. The deal positions OpenAI to strengthen its capabilities in enterprise-grade software development, extend ChatGPT’s utility for engineers, and deepen its commitment to agentic workflows for enterprise automation.
NTT DATA has launched a comprehensive Smart AI Agent Ecosystem, designed to upgrade traditional bots into dynamic, context-aware agents. With a patented plug-in architecture and a modular deployment model, the ecosystem enables enterprises to adopt agentic AI rapidly while preserving control, compliance and domain-specific intelligence.
In a significant move to bolster its AI infrastructure, Databricks has acquired Neon, a cloud-native PostgreSQL database startup, for $1 billion. This acquisition is designed to accelerate the performance and scalability of AI agents within Databricks' Lakehouse architecture—positioning the company to lead in agentic AI deployment across enterprise environments.
At Google I/O 2025, the tech giant unveiled a suite of AI-driven innovations, marking a significant shift toward integrating generative AI across its entire product ecosystem. From the introduction of Gemini Agents and AI Mode in Search to the rollout of Android 16 with on-device AI capabilities, Google is redefining how users interact with technology. This comprehensive recap covers all the key announcements, providing insights for tech leaders and marketers who may have missed the livestream.
As AI and automation continue their march into every business function, two contrasting stories this month underscore the importance of knowing when to automate—and when to hold back. Klarna’s decision to rehire human support staff, despite boasting a chatbot that handled over 2 million interactions, raises tough questions about quality, accountability and regulatory pressure. Meanwhile, ABB’s PixelPaint robots are quietly revolutionising industrial paint jobs with astonishing precision and sustainability gains. These two case studies—one from the service sector, one from advanced manufacturing—offer valuable insight into where automation works best and where human oversight still matters.
Agentic AI is accelerating workforce transformation—not by replacing humans, but by changing what humans do. Intelligent agents are now embedded across industries, prompting a major shift in roles, skills and training priorities. As employers redesign workflows to incorporate autonomous systems, the focus is shifting from displacement to redeployment—and from generic training to targeted, context-aware learning.
Enterprise AI is undergoing a structural shift—and AI agents are at the centre of it. In the past week alone, three new agent platforms have entered the market from major players in consulting, SaaS and Web3: NTT DATA, Box and Nimanode. Each claims to solve for agent orchestration across workflows, data silos and compliance zones. But how do they stack up—and where does Anjin fit in?
What was once experimental is now essential. Agentic AI—defined by autonomous systems capable of perceiving context, reasoning and taking action—is becoming a foundational component in enterprise workflows. From customer service and finance to marketing and operations, AI agents are no longer pilot projects. They are part of the core architecture, reshaping how large organisations scale intelligence and decision-making.
A budget proposal circulating Capitol Hill has ignited a new debate over the future of AI governance in the United States. A rider attached to a Republican-led House spending bill would impose a ten-year moratorium on state-level AI regulation—effectively silencing the efforts of more than a dozen states aiming to pass their own safeguards on artificial intelligence. If passed, the measure would shift regulatory power squarely to Washington and grant tech giants a decade-long “regulatory holiday”. Here’s what you need to know.
In a candid BBC interview this week, Sir Elton John launched a scathing critique of the UK Government’s draft proposal to allow AI developers to train models on copyrighted content without prior consent. Labelled a “criminal act” by the music icon, the proposal has sparked fierce debate across the creative and tech sectors. As the UK edges closer to enacting legislation that diverges sharply from the EU's transparency-driven approach, both start-ups and creators are now bracing for a legal and ethical reckoning in the age of generative AI.
On 20 May 2025, Google I/O is set to unveil a suite of advancements that could reshape how enterprises approach artificial intelligence—led by the anticipated release of Gemini Ultra 2 and a new “Gemini Agents” framework. These updates aim to move beyond chat-based AI towards embedded, autonomous task orchestration within Android and Workspace environments. This marks a strategic shift in how AI will be used—not simply as a tool for answering questions, but as a core operating layer enabling real-time task execution, personalised automation, and scalable workflow agents. For CTOs, enterprise developers and platform architects, it’s a signal to begin rethinking how agents are created, deployed, and managed within their stack.
The evolution of artificial intelligence continues to redefine the boundaries of what machines can accomplish. With the introduction of AlphaEvolve, Google DeepMind has ushered in a new era of intelligent coding agents—systems that not only generate code, but also evolve it. AlphaEvolve combines large language models (LLMs) with evolutionary computing principles and automated evaluation systems to solve some of the most demanding algorithmic challenges in mathematics, computing and infrastructure. From accelerating AI training to discovering new mathematical proofs, AlphaEvolve is more than a tool—it’s a paradigm shift in how we think about code generation, problem-solving and AI-assisted discovery.
Artificial intelligence is no longer a buzzword in marketing—it’s a foundation for performance. From predictive analytics and audience segmentation to content generation and personalisation, AI is redefining how brands engage, convert and grow. But while AI's promise is immense, many organisations struggle with a common question: how do you actually build effective AI systems for digital marketing? In this guide from Anjin Digital, we explore how to design, implement and optimise AI-powered marketing solutions. Whether you're a marketing lead, a founder, or a developer building internal tools, this article will walk you through how to align marketing strategy with artificial intelligence—comprehensively optimised for both SEO and generative engine discoverability.
As artificial intelligence continues to transform industries, the concept of autonomous agents—AI systems capable of reasoning, decision-making, and task execution—has moved from research labs into real-world application. Whether you're a developer, product lead, or founder, understanding how to build an AI agent is now a critical technical competency. This guide from Anjin Digital outlines the practical steps, architectural choices, and best tools to build and deploy AI agents in 2025. It reflects the most current developments in agent design, tool use, and workflow orchestration—and is optimised for both SEO and generative engine discovery.
The role of search engine optimisation (SEO) is evolving rapidly with the rise of artificial intelligence (AI). As traditional SEO practices face diminishing returns, AI SEO agencies are offering a new, data-driven paradigm. These agencies combine machine learning, natural language processing, and generative technologies to improve rankings, automate audits, and adapt to algorithm changes faster than ever before. In this comprehensive guide, we explore what defines an AI SEO agency, how it works, and what makes it essential for businesses in 2025 and beyond.
Artificial General Intelligence (AGI) represents a transformative leap in AI capability: the point at which machines possess human-like cognitive flexibility across any domain or task. While today's AI systems excel in narrow use cases, AGI promises to replicate—and ultimately exceed—human reasoning, learning, and problem-solving abilities. This guide explores AGI's foundations, how it differs from current AI, the science behind its development, and what it means for the future of work, ethics, and society.
AI agents are redefining how digital systems behave—moving from reactive automation to autonomous action. Whether powering personalised chatbots, managing supply chains, or orchestrating complex workflows, AI agents represent the next wave of enterprise intelligence. This guide explains everything you need to know about AI agents—from their core architecture and capabilities to their strategic value in real-world business environments. Learn how to harness agentic AI and why it’s quickly becoming a non-negotiable for future-ready organisations.
The traditional SaaS application is undergoing a radical transformation. Instead of being a tool users interact with, platforms are evolving into autonomous participants in the workflow. Agentic AI—intelligent, task-oriented systems that reason and act—are now embedded in many cloud applications, changing not just how software is used, but what it fundamentally is.
As cyber threats grow more sophisticated and fast-moving, traditional security operations are struggling to keep pace. Enter agentic AI: intelligent, context-aware agents capable of identifying anomalies, making decisions, and initiating defences autonomously. These agents aren’t just rule-following monitors—they are digital defenders trained to adapt, escalate and contain in real time.
AI agents are one of 2025’s most talked-about technologies—and startups have noticed. In a rush to ride the trend, many are rebranding traditional automation tools as “agentic AI platforms” while significantly raising prices. But as businesses begin to question the substance behind these claims, the market faces a critical inflection point: what separates a true AI agent from marketing theatre?
The integration of agentic AI into enterprise workflows is forcing organisations to reconsider not just how they work, but how they are structured. Autonomous agents are no longer confined to peripheral automations—they’re stepping into core business processes, prompting a rethink of roles, responsibilities and reporting lines. This transformation is less about job replacement and more about systemic redesign—where AI becomes part of the organisational fabric.
Salesforce has announced the launch of Agentforce—a company-wide initiative aimed at integrating agentic AI across its cloud platforms. More than an update, this represents a structural shift in how the global CRM leader sees the future of customer experience: one driven by semi-autonomous agents capable of engaging, resolving and adapting without human intervention. With Agentforce, Salesforce is no longer building tools for users—it’s building teammates for them.
Hugging Face’s new Open Computer Agent represents a major step forward in agentic AI—introducing a browser-based AI assistant that can interact with websites and applications in real time. More than a chatbot, this semi-autonomous agent reads, types, clicks and navigates the web like a human. For digital infrastructure, this could dramatically shift how we think about web automation, user interface design, and the nature of online tasks.
As conversational AI continues to redefine user interaction, Perplexity AI’s latest partnership with PayPal could mark a pivotal shift in how we transact online. By embedding payment capabilities directly into its AI agent, Perplexity enables users to move seamlessly from query to checkout—all within a single conversational interface. This development isn’t just technical—it hints at a fundamental transformation in how consumers, platforms and brands will operate in the agentic future of commerce.
AI is reshaping not just productivity, but creativity, medicine, and global infrastructure. In a recent panel discussion, three of the most influential voices in AI - Prem Akkaraju, Richard Socher, and Dr. Kai-Fu Lee - shared their predictions and philosophies for what lies beyond ChatGPT. From lifelike movie generation to drug discovery, and from coding in English to AI that learns how to teach itself, their visions illuminate both the future of work and the geopolitical landscape of innovation.
Jeffrey Hinton - the “Godfather of AI” - helped invent the neural networks that now power large language models and generative tools. But after decades of work, he is sounding the alarm. In a wide-ranging interview, Hinton argues that AI may already “understand” the world in profound ways - and that machines could soon outthink, outreason, and outmaneuver humanity. The stakes, he says, are nothing less than the future of human control. In this article, we break down Hinton’s key arguments, the path to Artificial General Intelligence (AGI), and what governments, developers, and individuals must do next.
Creativity, it turns out, isn’t just for artists - and AI isn’t just for engineers. In this new era of generative intelligence, anyone can be creative - if they learn to collaborate with AI, not simply use it. Stanford professor Jeremy Utley, author of Idea Flow and an expert in AI-powered innovation, argues that a shift in mindset - from “using” AI to “working with” it - is the key to unlocking our next great creative leap. This article explores how AI can amplify rather than replace human ingenuity, why inspiration is a discipline, and how to build agency in a world of intelligent machines.
After earning a Nobel Prize and a knighthood, Demis Hassabis isn’t slowing down. As the co-founder and CEO of Google DeepMind, Hassabis is leading a global pursuit of artificial general intelligence (AGI) - machines that can think, learn, and reason as broadly as humans. But unlike past tech revolutions, AGI won’t just change how we work - it will redefine what it means to think, imagine, and create. This article explores DeepMind’s breakthroughs, the risks of the AGI arms race, and why morality, creativity, and safety must shape the road ahead.
Thirty years ago, word processors and spreadsheets promised a productivity revolution. Today, generative AI is delivering the next one - and marketing is at the heart of it. But with powerful automation comes a critical choice: will you automate everything, or augment what makes your team unique? In this article, we explore how marketers can harness AI strategically, build technical advantage, and protect creative divergence - by choosing the right brain for the job.
AI agents are transforming how marketers and digital teams operate in 2025. But what exactly is an AI agent, and how is it different from tools like ChatGPT? In this in-depth guide, we break down agentic workflows, ReAct, multi-agent design patterns, and real-world use cases - in plain English - so you can future-proof your marketing strategy.
In 2025, ethical AI is no longer a side note — it’s a central pillar of brand trust, search visibility, and commercial success. With AI embedded in nearly every marketing touchpoint, from personalisation to content generation, consumers and regulators alike are demanding more transparency, fairness and accountability. For forward-thinking brands, embracing responsible AI isn’t just compliance — it’s a defining competitive edge.
In 2025, as artificial intelligence (AI) becomes integral to marketing strategies, ethical considerations have moved to the forefront. Brands are now challenged to balance innovation with responsibility, ensuring that AI-driven campaigns are transparent, fair, and respect consumer privacy. This article explores how ethical AI practices are shaping marketing in 2025, highlighting real-world examples and strategies for building trust in the digital age.
In 2025, the relationship between consumers and brands is undergoing a radical transformation — and artificial intelligence is at the centre of it. As AI tools become deeply embedded in how people search, shop, and make decisions, marketers are rethinking how they connect, communicate and convert. Understanding how AI is shaping modern consumer behaviour is now essential for building strategies that perform — both for search engines and smart assistants.
In 2025, artificial intelligence (AI) is no longer a futuristic concept but a fundamental component of digital marketing strategies. From content creation to customer engagement, AI-powered tools are transforming how businesses connect with their audiences, offering unprecedented efficiency, personalisation, and insights.
In 2025, AI-driven personalisation has gone from an industry trend to a digital marketing necessity. Consumers now expect brand interactions that are not only personalised, but predictive, seamless, and contextual. Powered by machine learning and real-time analytics, AI tools are enabling businesses to deliver hyper-relevant customer experiences — and the brands who adapt fastest are seeing measurable results.
AI agents are transforming sales and marketing operations, automating routine tasks, enhancing customer interactions, and providing deeper insights than ever before. By integrating intelligent systems into workflows, businesses can dramatically boost productivity, decision-making quality, and competitive agility.
Artificial intelligence is transforming the face of digital marketing, enabling unprecedented levels of personalisation. By analysing massive datasets in real-time, AI empowers brands to anticipate consumer preferences, deliver highly customised content, and dramatically boost customer engagement. As businesses seek competitive advantages, AI-driven personalisation is quickly becoming essential rather than optional.
As artificial intelligence continues to redefine digital search habits, marketers are embracing Generative Engine Optimisation (GEO) to maintain their brand visibility. Unlike traditional SEO that prioritises keywords and backlinks, GEO focuses on optimising content specifically for AI-driven conversational platforms such as ChatGPT, Google Gemini, and Microsoft Copilot, shaping the future of digital marketing.
Artificial intelligence is levelling the playing field. Small businesses are now harnessing AI to deliver personalised marketing experiences, automate tasks, and drive growth — without the overheads of big-brand budgets.
Google’s latest economic forecast paints a bold picture for the UK: artificial intelligence could inject up to £400 billion into the national economy. The message to businesses and marketers is clear — AI isn’t optional, it’s essential for future growth.
Fashion meets artificial intelligence as OneOff unveils a cutting-edge AI shopping agent that lets users search for outfits inspired by celebrities and influencers. The move signals how e-commerce is evolving beyond filters and keywords into intelligent, conversational discovery.
Duolingo, the world’s most popular language-learning platform, has announced a major shift in strategy — placing AI at the centre of its product and operational model. The move marks another significant milestone in how leading digital platforms are reorganising around artificial intelligence.
As AI-generated search platforms become mainstream, a new wave of tools is emerging to help brands keep up. Grizzly New Marketing is among the first to launch a content optimisation service tailored specifically for AI discovery.
Alphabet, Google’s parent company, has posted a robust financial report for Q1 2025, driven by AI innovation and user experience enhancements. Central to this growth is AI Overviews — a tool that’s not only transforming how people search but also how marketers must adapt.
As artificial intelligence (AI) continues to evolve, it’s fundamentally transforming how users interact with online information—and how businesses position themselves in response. This week, marketing experts and brands alike are grappling with a significant shift: consumers are turning away from traditional search engines and increasingly relying on AI chatbots like OpenAI’s ChatGPT and Anthropic’s Claude for information discovery.
