Breaking: Google adds the “Nano Banana” button to Search on mobile. The Google app is now showing a yellow banana icon as a one-tap shortcut into Nano Banana image creation and AI photo editing. The button routes users into Google Lens “Create” mode and, for some accounts, AI Mode image tools, making “search” feel more like an AI workspace than a results page.

Early rollout signals point to a staged release (feature flags, Labs eligibility, account gating), which explains why some users see the banana button and others do not, even on the same device model. Reported issues include the button disappearing after updates, country or language mismatches, and “Create images” tools showing in AI Mode while the home-screen banana chip is missing. In practice, this is normal for Google Search experiments, especially when AI features are capacity-limited.

If you are tracking SEO, AEO, and GEO: this is a meaningful UX shift. Google is pushing generative image workflows inside Search, which increases the importance of entity clarity, structured data, and brand recall, because users may “create” directly from Search rather than click through to publisher pages.

AI is not “wiping out jobs overnight”, it is removing task bundles inside roles, and entry-level jobs are hit first because junior work is more standardised and easier to automate. In the UK, roles most exposed to AI are seeing job posting growth 4x slower than lower-risk roles, a quiet hiring shift rather than a sudden collapse. The early impact is already measurable: freelance writing and coding demand fell 21% within months of ChatGPT’s release. The net effect is likely reallocation, not just loss, with projections showing 92M jobs displaced and 170M new jobs created by 2030, while 17% of employers expect headcount reductions due to AI in 2026 and 14% of workers may need to change careers by 2030.

AI investment in the UK is accelerating again, and Synthesia’s confirmed $200m Series E at a $4bn valuation is a clear signal that enterprise-first AI scaleups are setting new benchmarks. This January 2026 guide ranks 10 leading UK AI startups, from Wayve and Quantexa to Tractable and Causaly, using an accuracy-first lens: measurable outcomes, governance, distribution, and unit economics.

AI adoption is no longer a race for speed, it is a competition for provable quality. In 2026, “work with AI” only works if you can demonstrate governed outputs at scale: QA gates, red teaming, audit trails, monitoring, and human-in-the-loop controls where risk is real. This guide explains the frameworks (NIST, OWASP, EU AI Act, ISO 42001) and gives a practical step-by-step system to ship AI safely, credibly, and profitably.

In 2026, B2B fintech visibility is won inside AI answers, not only on page-one rankings. This guide reviews the top AI Answers SEO services and agencies for fintech brands, and explains what matters most: compliance-aware content, technical SEO, structured data, Answer Engine Optimisation (AEO), and Generative Engine Optimisation (GEO) for Google AI Overviews, Google AI Mode, and ChatGPT-style discovery. You will also see practical AI performance marketing methods for scaling lead generation, from predictive scoring and personalisation to conversational AI qualification and revenue-linked reporting.

As OpenAI and Anthropic move closer to potential IPOs, copyright litigation, regulatory scrutiny, and cashflow sustainability are emerging as decisive investor risks. This in-depth analysis examines why Anthropic appears more IPO-ready than OpenAI, how unresolved copyright lawsuits could delay listings beyond 2026, and how OpenAI’s projected $25bn advertising revenue by 2030 reshapes its financial outlook.

Discover how AI search will transform the digital landscape by 2026. Explore the future of search optimization in our latest blog post! AI search is no longer just about rankings and clicks. In 2026, visibility is increasingly won inside generative answers, across Google AI Overviews and AI Mode, Bing Copilot, Perplexity-style results, and ChatGPT-style summaries. This guide cuts through the acronym noise around AEO, GEO, and LLMO and delivers one practical strategy: publish answer-first, cite-worthy content with clear entities, strong sourcing, and structured formats that models can reliably extract. Includes pitfalls, measurement tips, and a step-by-step playbook.

ChatGPT Ads are coming, and the most important detail is not the media buying. It’s the design constraints. OpenAI says ads are not live externally yet, but testing is planned in the US “in the coming weeks” for logged-in adults on ChatGPT Free and ChatGPT Go, with placements clearly labelled and shown at the bottom of answers, separate from the organic response.

If OpenAI sticks to its stated “ad principles”, mission alignment, answer independence, conversation privacy, user choice and control, and long-term value, then this is not a typical attention auction. The winning ads will behave like a helpful next step, not interruption marketing. That changes the playbook: relevance is contextual and multi-turn, trust signals matter more than persuasion tricks, and attribution will get messier as AI answers pre-sell users before they ever click.

For marketers and agencies, the early advantage will come from three assets: (1) answer-first AEO/GEO content that makes you citable across AI surfaces, (2) offer governance that protects margin, and (3) incrementality measurement that proves lift instead of paying for demand you would have won anyway.