Andrew Miles Davis covers a week defined by AI creeping into places people did not expect, starting with director Ash Kusha releasing a fully AI-generated 135 minute feature film of the Odyssey for a five-figure budget days before Christopher Nolan's £250 million Hollywood version hits cinemas, inviting direct comparison between the two. He also covers new data showing 41% of LinkedIn posts are now confirmed AI generated, YouTube clarifying which types of AI content will lose monetisation, and Meta's facial recognition smart glasses feature being framed as an accessibility tool despite the company's history of shifting intentions once features roll out widely. Other stories include 26 Meta employees suing the company over an AI scoring system that disproportionately selected staff on medical, parental, and disability leave for redundancy, Google facing a major AI training lawsuit from publishers alleging altered copyright metadata, Claude launching a usage reflection dashboard called Reflect, and OpenAI's first hardware product, a screenless smart speaker with a built-in camera, being pushed back to 2027. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis breaks down six marketing trends identified by an Adweek reporter's conversations at Cannes, offering his own take on each and where AI genuinely fits. He covers the creator economy maturing from audience-building into proper business-building, the ongoing shift from text towards video and audio consumption, why format now matters less than the strength of an underlying idea and personal IP, the tension businesses feel between AI excitement and fear of being left behind, AI agents moving into everyday messaging apps as a new front door for brand interaction, and the rising value of high-quality journalism as AI models exhaust the fresh public data they rely on. Andrew closes with the argument that the real winners will not be the people generating the most AI content, but the people creating ideas AI cannot invent on its own. Subscribe to In AI Nutshell for daily ten-minute episodes connecting AI to the wider shifts happening across marketing and media.

Andrew Miles Davis answers eleven randomly generated questions in his monthly format, covering everything from AI predictions he thinks will never materialise to the marketing trend he expects people to look back on in ten years and laugh. He makes a direct case for why AI copyright will likely never be properly resolved given the lack of incentive for major companies to fix it, and argues that businesses consistently overestimate the value of content while underestimating the discoverability and promotion needed to get it seen. He also shares the AI feature he thinks gets the least attention, training the model itself and imagination over prompting mechanics, and closes with the one AI habit he thinks everyone should build: putting in daily reps while the current window of opportunity is still open. Subscribe to In AI Nutshell for one of these unscripted, unfiltered episodes every month alongside daily ten-minute AI insight.

Andrew Miles Davis marks episode 70 of Cool Tools Tuesday with a deep look at ChatGPT's significant overhaul, which introduces a toggle between Chat mode for thinking through problems and Work mode for getting tasks executed directly, alongside two standout features borrowed from Claude's playbook: buildable skills that can be recalled with a forward slash command, and native hosting that will let users deploy projects with a live URL without leaving the platform. He also covers Ovov.ai, an all-in-one creative aggregator that selects or lets you choose between models like Nano Banana, ChatGPT Images, Seedance, and Qwen for image, video, music, and voice generation in one place. The episode closes with Monkey Eating Mango, a free AI travel planner that builds full itineraries including budgets, food guides, kid-friendly suggestions, and day-by-day plans based on destination, group size, and budget. Subscribe to In AI Nutshell for three new tools every Tuesday with honest verdicts from someone testing them in real work.

Andrew Miles Davis runs an experiment, asking all five large language models he pays for the exact same question and comparing what they come back with. Three of the five, Copilot, Claude, and Perplexity, independently recommended the same core workflow: taking one long-form input and systematically repurposing it across every relevant channel. ChatGPT went deeper on customer intelligence, arguing that the real marketing advantage comes from using AI to understand customers better than your competitors rather than simply creating content faster. Perplexity eventually produced a workflow around coordinating marketing across multiple organisations or departments, while Google unsurprisingly focused on SEO gap analysis and content brief generation. Andrew notes that none of them mentioned GEO, answer engine optimisation, or how to get cited inside AI platforms, which he considers the more important question for 2026. Subscribe to In AI Nutshell for daily ten-minute episodes and the occasional experiment that tells you something useful about how these models actually think.

Andrew Miles Davis covers a week of AI news led by Meta's launch of Muse Image, a tool that allows anyone to generate AI images of real people from their public Instagram profile without notification or consent, which is already under scrutiny globally and defaults to opt-in for any public account. He also covers the story of Tilly Norwood, an entirely AI-generated actress created by UK company Particle Six who is set to star in a feature length film, prompting an immediate response from the actors' union SAG-AFTRA. Other stories include Fable 5 being extended for all Claude users until July 12th before moving behind a higher price tier, YouTube rolling out Ask YouTube conversational search for US users, Claude Cowork becoming available on mobile and browser without needing the desktop app, MidJourney's legal counterattack demanding Disney and Universal reveal how they use AI internally, Hollywood studios again calling on ByteDance to shut down Seedance, Character AI launching an interactive fiction feature using public domain classics, and humanoid robots now available to rent by the hour starting at around $500 for a home helper. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis delivers the third instalment of his golden era series, completing his argument for why 2023 to 2026 represents a genuinely unusual window of opportunity in the history of digital. After covering the absence of advertising in AI responses and the lack of meaningful regulation in previous episodes, this one focuses on the most tangible reason of all: nearly everything you can currently do with AI, you can do for free. He draws on his own experience building a custom CRM in Google AI Studio at no cost, producing productivity tools that help him manage his RSI, and watching people in training sessions build in an afternoon what would have required an agency budget 18 months ago. He also gives a direct prediction about where pricing is heading, arguing that what you can currently get on a paid plan will become the free tier within a year, and what you get for free now will require a premium subscription. The closing message is simple: learn now while it costs nothing. Subscribe to In AI Nutshell for daily ten-minute episodes that stay honest about where AI is actually heading.

Andrew Miles Davis answers three questions from recent training sessions, starting with how long to spend using AI on a task before giving up and doing it manually, where his honest answer depends entirely on what you are doing and why planning tasks deserve far more AI time than content generation. He then addresses one of the most common misunderstandings he encounters, whether you need to actively train your large language model or whether it will just learn from you over time, explaining why passive learning alone creates inconsistencies and how a stable trained foundation changes the quality of everything that follows. The episode closes with the question he is asked most directly, which single large language model he would pick if forced to choose, and a clear answer grounded in how he actually uses these tools rather than which company he prefers. Subscribe to In AI Nutshell for daily ten-minute episodes built around the questions real marketers are asking right now.