Artificially Intelligent Marketing

The AI model race intensifies as OpenAI rushes GPT 5.2 to market, whilst marketers discover a surprisingly effective shortcut to AI search visibility.This week, we analyse OpenAI's scramble to compete after Google's Gemini 3 Pro and Anthropic's Claude Opus 4.5 threatened their dominance. We examine GPT 5.2's contested benchmark scores and whether the rushed release has created more problems than it solved. We also explore the resurgence of 2009-era SEO tactics for AI visibility, revealing how "best of" listicles are gaming generative search results—and how long that window might stay open. Plus: OpenAI's enterprise adoption report, Gemini's new native audio translation, and Martin's bricked Limitless pendant.Key TakeawaysOpenAI's defensive launch: GPT 5.2 achieved impressive benchmark scores (53% on ARC-AGI vs 37.6% for Claude Opus), but user reports suggest degraded performance on real-world tasks, with concerns about benchmark optimisation over practical utility.AI search visibility follows old playbooks: Publishing "best of" listicles with your company ranked first is proving remarkably effective, with results appearing within 1–2 weeks rather than the 3–12 months typical for SEO.Enterprise adoption accelerates: OpenAI reports 8× growth in ChatGPT Enterprise usage, with workers reporting 40–60 minutes of daily time savings. 87% of IT workers report faster issue resolution, 85% of marketers report faster campaign execution.Model providers face different futures: OpenAI pursues consumer markets through a Disney partnership for Sora-generated content, whilst Anthropic and Mistral focus explicitly on enterprise solutions, such as on-prem deployments.Translation goes universal: Gemini's native audio model now supports real-time translation through any Bluetooth earphones, removing hardware restrictions that previously limited adoption.Projects over prompts: OpenAI reports 19× increase in custom GPT and project usage, indicating a shift from casual querying to repeatable workflow automation.What to Do NowTest GPT 5.2 cautiously: If you have access, compare outputs against 5.1 for your specific use cases before switching workflows. Early reports suggest mixed results.Deploy listicle strategy immediately: Create "best of" articles in your category with your company ranked first. Include detailed comparison tables. Speed matters—this window may close as AI providers refine their models.Monitor your AI visibility: Check how ChatGPT Search, Gemini, and Claude answer queries about your product category. Track changes weekly to understand which content formats they prioritise.Audit your project setup: If you're using ChatGPT Enterprise, review whether your projects contain too much general context. More focused, use-case-specific projects typically perform better.Invest in genuine reviews: As AI providers wise up to self-published listicles, review platforms like Clutch, G2, or Google Reviews will likely become more important for AI search visibility.Mentioned in This EpisodePlatforms/Features: GPT 5.2, GPT 5.1 Pro, Gemini 3 Pro, Claude Opus 4.5, Nano Banana, ChatGPT Search, Notebook LM, Sora, Microsoft Copilot Pro, ManusCompanies: OpenAI, Google, Anthropic, Disney, Mistral AI, Limitless, Meta, HSBC, Boston Dynamics, Blend B2BTools: Ahrefs, Clutch, G2References: ARC-AGI benchmark, OpenAI Academy, Ethan Mollick's prompt research, Moonshots podcast

What's driving Google and Meta's record earnings? Hint: it's AI, not traditional ads.In this episode, Paul and Martin unpack the latest earnings calls, HubSpot's strategic acquisition of X Funnel, and then venture into scenario planning for marketing's future. From business-as-usual to AI agent swarms running entire organisations, we map out what you should watch for and what you should do right now.Key TakeawaysMeta's AI-powered advertising suite is now handling $60 billion in annualised ad spend. That's real money, real results: 5% more time on Facebook, 10% on Threads, 30% growth on Instagram video.Google posted its first $100 billion quarter, driven by AI features in Search and YouTube. YouTube Shorts now earn more per watch hour than traditional in-stream ads.HubSpot acquired X Funnel to double down on Generative Engine Optimisation (GEO) — ensuring your brand shows up in AI chatbot answers. But don't chase FOMO. Focus on brand-building and content quality; those work across all search channels.Five plausible futures for marketing:Business as usualNiche AI agents handling specific tasksHyper-personalisation at scaleAI agents driving strategyFully autonomous agent swarms Which scenario emerges depends on technology progress, regulation, and how quickly organisations can rethink workflows.The real bottleneck isn't technology — it's human change. AI-first startups will outcompete legacy organisations unless incumbents commit to wholesale rethinking. Disruption ahead.Customer preference trumps efficiency. If your audience values human interaction and human-crafted outputs, that changes everything. Personalisation won't win if customers prefer the human touch.What to Do NowInvest in AI skills training for yourself and your team. The saying holds: marketers aren't replaced by AI; they're replaced by marketers who use AI.Get your customer data in order. Clean, structured, first-party data is essential — especially if privacy regulations tighten. If an AI agent needs to draw insights, it needs good data to work with.Establish an AI ethics and usage charter. Give customers confidence. Guide employees on responsible AI use.Build human-in-the-loop QA processes. Identify where you can safely automate and where humans must review. As niche agents emerge, you'll know exactly where to deploy them.Run scenario planning for your business. Use ChatGPT or Claude with your business context to model which scenario matters most to you. Don't just accept our five; build your own.Mentioned in This EpisodeMeta: AI recommendations; Vibes (image generation); Advantage+.Google: AI Overviews; Performance Max; YouTube Shorts.HubSpot: X Funnel acquisition; Loop Marketing; GEO.Tools: Zapier; Claude; ChatGPT; Canva; HubSpot; Salesforce.Reference: The Last Economy by Emad Mauck.New episodes every week on Artificially Intelligent Marketing. For questions, use cases, or scenario disagreements, find us on LinkedIn or reply to our latest episode post. Share this with a colleague who needs to hear it.

🎙️ Artificially Intelligent Marketing: Episode 47 – Harrison Wade on “Why AI is NOT the Easy Button”Welcome back to Artificially Intelligent Marketing! In this episode, Paul Avery is joined by special guest Harrison Waid, co-founder of Succession. Harrison brings hands-on experience from the life sciences sector, revealing how his team is redefining sales and marketing through AI innovation.From Business to Science Harrison shares his journey from software sales to leading go-to-market strategies for life science firms—where tools common in SaaS are still a rarity. He explains how this gap creates both challenge and opportunity for innovation.AI in Sales Enablement & Marketing Discover why sales teams often lag behind marketing in tech adoption, and why tech-fluent, AI-first team members are essential for orchestrating automated workflows that actually deliver results.What Works—and What Doesn’t Harrison details how his team uses robust context, training, and tools like Clay to supercharge outreach—highlighting the danger of treating AI like an “easy button.” A 27-page context document? Essential, not overkill.Real AI Workflows, Not Magic Forget AGI hype—this episode is packed with practical advice on using AI for prospect research, workflow automation, and creative outreach. Think personalised videos, Suno-generated songs, and campaigns that cut through the noise.Building the Future: Micro-Apps & Vibe Coding Paul and Harrison explore how tools like Replit and Lovable let marketers build lead magnets and custom web apps without coding skills—ushering in a new era of “vibe coding.”Human Creativity Still Wins AI can scale output, but human creativity drives connection. Harrison argues that empathy, emotion, and storytelling remain the ultimate differentiators in AI-driven marketing.Arms Race or Open Water? Will personalised AI content saturate the market? Harrison says no—most teams lack the expertise or drive to execute at scale. There’s still huge opportunity for those willing to experiment.Actionable AdviceIf you love tinkering, start small and iterate.If you want results, partner with builders who do.For life sciences growth, Succession Bio can help scale your top-of-funnel efforts.Key TakeawaysAI isn’t the easy button—human creativity and context win.Automation is messy—curiosity and patience pay off.Personalisation breaks through—even songs can sell.The emerging “conductor” role is key: orchestrating tools to outcomes.Connect & Challenge Want to stand out? Combine creativity and AI—send us a Suno-generated song about this episode using the YouTube transcript!Contact For top-of-funnel support or AI workflow advice, reach out to Harrison at Succession Bio.Subscribe to Artificially Intelligent Marketing for stories, workflows, and insights on AI in marketing—new episodes every week.

Intro In this week's episode, Paul and Martin discuss the current limitations of AI for data analysis, Google's AI overview feature, and predictions about AI's impact on jobs. They also cover the latest news and updates from Anthropic, OpenAI, ElevenLabs, and a promising new AI-powered TV show creation tool called Showrunner.Data Analysis with AI Falls ShortMartin shares his experience using ChatGPT for data analysis, highlighting flaws in extracting accurate insights.Issues with Google's AI Overview Feature While widely rolled out, Google's AI overview feature has produced bizarre and inaccurate search summaries.Anthropic Introduces Function Calling for Claude Anthropic has made function calling available for its AI assistant Claude, allowing integration with external data sources.Anthropic Enables Exploration of Claude's Inner Workings The team at Anthropic mapped out the inner workings of the Claude AI model to better understand its behaviour.GPT-4 Now Available to All ChatGPT Users OpenAI has made GPT-4 available to all users of its ChatGPT platform, along with other new features.ElevenLabs Launches AI-Powered Sound Effects Tool ElevenLabs introduced a new tool that generates realistic sound effects from text descriptions.The Simulation Unveils AI-Generated TV Shows A startup called The Simulation showcased Showrunner, a tool for creating AI-generated TV shows and videos.Survey Reveals Limited Use of Generative AI Tools A Reuters Institute survey found that while awareness of AI tools is high, frequent use remains rare.Apple Rumored to Unveil Siri 2.0 with AI Capabilities Apple is expected to announce a new version of Siri with enhanced AI capabilities at its upcoming WWDC event.Anthropic Chief of Staff Predicts Job Obsolescence An Anthropic executive wrote an article predicting that AI will make most jobs obsolete within the next 5 years.

ElevenLabs Launches AI Sound Effect GeneratorElevenLabs expands its AI technology to generate realistic sound effects from text prompts. The tool excels at natural and atmospheric sounds but has limitations with electronic noises. While not perfect, it represents a significant advancement in AI-generated audio for immersive digital content.Midjourney Introduces Consistent Characters FeatureMidjourney's new feature allows users to maintain character consistency across multiple AI-generated images. By referencing an original character image, the AI can generate variations with adjustable resemblance. This advancement opens new possibilities for visual storytelling and marketing campaigns, but raises ethical and copyright concerns.EU Passes Groundbreaking AI ActThe European Parliament has passed the AI Act, the world's first comprehensive AI regulation. It categorizes AI products by risk level, promoting responsible AI development and use. The act emphasizes compliance, ethics, and transparency, reshaping the regulatory landscape for marketing professionals.Anthropic Launches Fast and Affordable Claude 3 Haiku APIAnthropic's Claude 3 Haiku model offers high-speed processing and cost-effectiveness for enterprise AI workloads. It can analyze large volumes of text and images at a fraction of the cost of competitors. The model's affordability and performance make it a significant advancement for AI capabilities.Sam Altman Predicts AI Will Take Over 95% of Marketing Agency TasksOpenAI CEO Sam Altman forecasts that AGI will handle most tasks currently done by marketing agencies and creative professionals within five years. While AI integration in marketing is already underway, this prediction raises concerns about job security, data privacy, and intellectual property.IBM Announces Layoffs in Communications and Marketing DivisionsIBM initiates layoffs in its communications and marketing staff as part of a workforce rebalancing effort. The company focuses on high-demand areas like AI and hybrid cloud technologies. These layoffs highlight the growing impact of AI on marketing and the need for professionals to adapt to emerging technologies.Meta's Significant Investment in GenAI InfrastructureMeta takes a leap in AI with its GenAI infrastructure, powered by cutting-edge NVIDIA GPUs. The company plans a substantial expansion, aiming for 600,000 GPU units by 2024. This investment signals a transformative shift in AI capabilities and highlights the importance of leveraging advanced technology for market differentiation.Devin: The First Autonomous AI Software EngineerDevin, developed by Cognition, is an AI designed to handle complex software engineering tasks autonomously. While not perfect, Devin's performance on coding benchmarks marks a significant improvement over previous models.Figure and OpenAI Collaborate on AI-Powered Humanoid RobotsFigure partners with OpenAI to enhance its humanoid robots with advanced AI models. The robots demonstrate autonomous task completion in controlled environments.

Welcome to episode 41 of Artificially Intelligent Marketing, hosted by Paul Avery, CEO of Biostrata, and Martin Broadhurst, owner of Broadhurst Digital. In this episode, we're unpacking the latest in AI, from groundbreaking models to new entries in the search engine arena. Let's dive in!Google Unveils Gemini 1.5 ProGoogle has just elevated the AI game with Gemini 1.5 Pro, boasting efficiency and advancements over its predecessor. This model impresses with a 1 million token context window, showcasing unparalleled long-context understanding and the ability to process text, video, audio, and images simultaneously. It's not just about the tech specs; Gemini 1.5 Pro has undergone rigorous ethics and safety testing, promising a new era of AI development.OpenAI's Sora: A New Frontier in AISora, OpenAI's latest creation, is making waves by turning text instructions into realistic video scenes. Despite its current limitations with complex physics and spatial details, Sora's potential for creative storytelling and content creation is undeniable. Its deployment is surrounded by anticipation and a slew of safety measures, aiming to redefine digital interaction.Stable Cascade by Stability AIStability AI introduces Stable Cascade, a novel text-to-image model that economizes training and fine-tuning through a unique three-stage architecture. This innovation not only enhances image quality but also aligns more closely with user prompts, setting a new benchmark for image generation models.Amazon's BASE TTS BreakthroughResearchers at Amazon have pushed the boundaries with BASE TTS, a colossal text-to-speech model trained on an extensive dataset. It demonstrates emergent abilities to handle complex language nuances, offering unprecedented naturalness in speech synthesis.OpenAI Challenges Google with New Search ProductIn a strategic move, OpenAI is stepping into the search engine domain, challenging Google's dominance. Backed by Microsoft and leveraging Bing's infrastructure, this initiative could reshape the SEO landscape, introducing new considerations for digital marketers in content optimisation and strategy.We're eager to hear your thoughts on these developments. Could Gemini 1.5 Pro's efficiency and Sora's creative potential change the game for AI in marketing? And what does OpenAI's foray into search engines mean for the future of digital marketing strategies? Share your insights with us on Twitter, Facebook, or via email at hello@artificiallyintelligentmarketing.com.

UK Government's Generative AI FrameworkThe UK Government has published a comprehensive Generative AI Framework for employees, covering principles of use, ethics, data security, and innovation. A proactive approach to AI literacy and change management is evident, promoting responsible AI adoption.Publicis Groupe's €300 Million AI InvestmentPublicis Groupe announces a €300 million investment in AI, launching CoreAI. Aiming to revolutionise marketing strategies, CoreAI utilises extensive consumer data and partnerships, including OpenAI and Microsoft.Google's Text-to-Video Model: LumiereGoogle Research's Lumiere, a text-to-video diffusion model, impresses with its ability to generate realistic AI videos. A research project for now, Lumiere raises questions about copyright issues and AI's role in content creation.Runway Gen-2: Enhancing AI Video EditingRunwayML introduces the Multi Motion Brush in its Gen-2 model, offering unparalleled motion control in video editing. This tool signifies a new era in AI-assisted creative content production.OpenAI's Model Updates and Cost ReductionsOpenAI updates its AI models, introducing GPT-4 Turbo and reducing costs for GPT-3.5 Turbo. These advancements promise greater accessibility and performance for AI-integrated marketing strategies.ElevenLabs' Major Funding MilestoneElevenLabs secures $80 million in Series B funding, advancing its AI voice technology. The funding will enhance voice synthesis capabilities, offering new opportunities for personalised marketing strategies.AI Website Builders: Reality CheckExploring the gap between the promise and performance of AI website builders like Wix and Dorik. Marketers need to navigate the hype to find genuinely useful AI solutions.MIT's AI and Job Automation StudyMIT's study reveals that only 23% of vision-based tasks are economically viable for AI automation. This finding challenges assumptions about AI's impact on job automation and workforce skills.Samsung Galaxy S24 Series: AI AdvancementsSamsung's Galaxy S24 Series introduces advanced AI features, reshaping mobile communication and content creation. Marketers must adapt strategies for this evolving AI landscape.AI and Political Misinformation: The New Hampshire IncidentA robocall incident in New Hampshire, using AI-generated voice, underscores AI's potential misuse in political misinformation. Marketers must ensure ethical AI use and transparency.Microsoft Copilot: Office AI Tools ReviewReviewing Microsoft Copilot's AI tools across Office apps. While showing promise, limitations exist, especially in Excel. Marketers can strategically utilise these tools for enhanced productivity and creativity.

Google's Gemini: The Challenger to GPT-4's ThroneGoogle unveils Gemini, a suite of AI tools including Gemini Nano and Ultra, surpassing GPT-4 in various benchmarks. With multimodal capabilities, it's set to revolutionize Google's ecosystem. Discover Gemini's featuresUnlocking AI's Potential: Prompt EngineeringMicrosoft's Medprompt enhances GPT-4, achieving a 90.10% MMLU benchmark score. It demonstrates the transformative impact of refined prompting on AI performance. Read about MedpromptEnhancing AI Recall: Claude 2.1Claude 2.1, featuring a 200K token context window, excels in complex data retrieval, showcasing the significance of precise prompting in AI. Explore Claude 2.1Meta's AI Image Generation LeapMeta's "Imagine with Meta AI" uses Emu to create images from prompts, raising key ethical questions in AI-driven visual content creation. Meta's AI Image GeneratorInstagram's AI-Powered BackdropInstagram's Backdrop, powered by SAM and Emu, transforms story backgrounds, demonstrating AI's role in media editing. Instagram's Backdrop featureChatGPT vs Human Expertise: A StudyMIT's study shows ChatGPT's prowess in persuasive content, challenging human superiority in content creation and opening new avenues for marketers. Study insightsMcDonald's Tech Upgrade with Google Cloud McDonald's partnership with Google Cloud aims to innovate customer and staff experiences with generative AI, transforming the fast-food industry. McDonald's and Google CloudMistral: Open-Source AI AdvancementMistral AI's Mixtral 8x7B, an open-source AI model, offers flexibility and transparency, challenging established AI paradigms. Mixtral 8x7B detailsChatGPT Plus Subscriptions ReopenChatGPT Plus subscriptions are available again, enhancing user experience with advanced features.

In this week's episode, we cover:ChatGPT's Momentous First YearIn its first year, ChatGPT became wildly popular, gaining 100 million users faster than any other platform. But it hasn't been without incident, facing outages, bans, new capabilities like computer vision, regulatory scrutiny, leadership shakeups, and more.Synthetic Media Company Unveils Instant Digital AvatarsAI startup HeyGen has unveiled new technology to more quickly create digital avatars from video, enabled by less source footage required. This could spur usage for sales prospecting, marketing videos, and more synthetic media. However, consent and ethical risks around fake content continue.Stable Diffusion Offshoot Enables Real-Time Image GenerationAn offshoot of text-to-image generator Stable Diffusion can now create images in near real-time. This leap in efficiency empowers more interactive and customized visual content creation. It also pushes capabilities closer to potential future applications like on-demand video and gaming.Hype Builds Around New Generative Video StartupExciting new firm Pika has demoed remarkable quality text-to-video capabilities. However, expectations should remain measured until real-world testing matched demos. Either way, growth potential seems substantial given rising demand for synthetic video and rapid pace of progress.AI Excels at Complex Strategy Game Requiring Human NegotiationAn AI system called Cicero can now play the elaborate strategy game Diplomacy as well as top-tier human players. It indicates AI persuasive abilities are advancing alongside raw computational intelligence. This could eventually enable new use cases like contract negotiations and even political debates.Music Generation System Becomes More Controllable and ShareableUsers can now fine-tune audio outputs from text-to-music tool Stable Audio. Fresh editing parameters empower more personalized results. Added sharing and library elements also aim to facilitate collaborating. These improvements may help marketers stand out from stock audio content.Artists Revive Copyright Lawsuit Against AI Firms, Citing DamagesAfter a partial dismissal, artists revived an amended legal complaint against AI companies allegedly misusing their works. By surfacing AI-generated art over original pieces for their names in search engine results, artists claim tangible harm from degraded commercial prospects and online reputation. Technical remedies seem feasible, but more twists in this formative legal saga likely lie ahead.

ChatGPT Updates - A Deep Dive into the Latest FeaturesExplore the latest on ChatGPT, including the new context window, cost updates, multimodal capabilities, and the fresh text-to-speech modal. Join us as we discuss the impact and the future of generative AI models.The Rising Star of ChatGPTChatGPT's growing pains: dealing with downtime, pausing new sign-ups, and the impact of reduced capacity on user experience. We're breaking down the challenges and what this means for AI enthusiasts.Microsoft Ignite 2023: The Dawn of Copilot StudioMicrosoft unveils Copilot Studio and updates to Microsoft 365, introducing a new era of personalised and collaborative AI experiences. Find out more.Unpacking GPT-4's Memory CapabilitiesDiscover how GPT-4 handles long context scenarios with insights from Greg Kamradt's analysis. Understand the limitations and optimisation strategies for better recall. Read Greg's study.Google's Anticipated 'Gemini' AI: A New Challenger AwaitsGoogle postpones the launch of 'Gemini', its next-gen AI model, as it seeks to refine its capabilities. We delve into the implications and expectations.Google's Global AI Search ExpansionGoogle's Search Generative Experience (SGE) AI feature now reaches a global audience. Learn how this will change the way we search online.YouTube's Commitment to Responsible AIYouTube introduces new policies for AI-generated content, ensuring transparency and ethical use. Get the lowdown on how this affects creators and marketers alike.YouTube's Melodic AI: Tuning into the FutureDive into YouTube's AI-driven music experiments and the potential for AI in music creation. What does this mean for the industry?Ethics in AI Training: A Resignation at Stability AIEd Newton-Rex resigns from Stability AI over ethical concerns in AI training practices. Learn about the debate.Runway's Motion Brush: The Next Leap in AI Video GenerationRunway's Motion Brush brings a new dimension to AI video generation, enabling selective animation in images.OpenAI's Collaborative Vision with Data PartnershipsOpenAI launches Data Partnerships to diversify AI training datasets, inviting organisations to contribute. Join the initiative.

On this week's episode, we discuss:HubSpot Acquires Clearbit for Enhanced B2B DataHubSpot acquires Clearbit to integrate its firmographic data into HubSpot's CRM. This brings unprecedented B2B data into the platform for improved customer intelligence and personalization for marketing and sales applications.OpenAI Upgrades ChatGPT InterfaceOpenAI upgrades ChatGPT with new capabilities like analyzing PDFs, while eliminating the need to switch between modalities and chats to get stuff done. This streamlines workflows but may threaten some third-party tools.Stability AI Launches New Image CapabilitiesStability AI releases new API-driven image manipulation tools like Sky Replacer and Stable Fine-Tuning. These allow rapid image customization for industries like real estate, gaming, and marketing.Emotional Prompts Enhance AI PerformanceNew research shows emotional prompts like urgency or encouragement boost AI model performance. This could indicate a form of basic emotional intelligence in large language models.Woodpecker Framework Tackles AI HallucinationsChinese researchers develop Woodpecker to reduce hallucinations in AI text generation, providing users with more confidence in the outputs.AI Detects Diabetes from VoiceCanadian researchers use AI to diagnose Type 2 Diabetes from voice, detecting subtle acoustic patterns. This showcases AI’s ability to find disease biomarkers humans can’t perceive.AlphaFold 2 Predicts Biological StructuresDeepMind's AlphaFold 2 advances protein structure prediction and expands to more molecules. This further enables computational biology and drug discovery.Bletchley AI Summit Focuses on RisksHistoric AI summit held at Bletchley Park brings together global experts. Discussions emphasize existential risk, but reach no firm policies.Microsoft Rolls Out Windows 11 Co-PilotMicrosoft launches Windows 11 Co-Pilot to assist with OS commands and tasks via natural language. Its usefulness may depend on one's level of tech proficiency.Office 365 Co-Pilot Available to EnterprisesMicrosoft brings AI co-pilot to Office 365, rolling out to enterprises first. Early access indicates it currently has limitations compared to expectations.

Google Offers Legal Cover for Generative AI UsersGoogle introduces indemnification for customers using its AI services, addressing liability concerns and potentially accelerating enterprise AI adoption. The cover extends to Google's training data and generated outputs but excludes intentional infringement.Skyscanner’s Generative AI for Travel DiscoverySkyscanner unveils an AI-powered travel discovery tool, aiming to offer tailored travel ideas and insights into customer engagement with AI. The tool is currently in beta and is powered by ChatGPT.The Risks of Fine-Tuning Generative AI ModelsNew research highlights the vulnerabilities in fine-tuning generative AI models. The study warns that even normal tuning can degrade built-in protections against bias and that hackers can exploit these weaknesses.CEO Appetite for AI: From Skepticism to Strategic IntegrationA recent survey shows a 130% increase in CEO adoption of AI within a year. While concerns about bugs and privacy persist, the benefits appear to outweigh the challenges, especially in the marketing sector.UK's Generative AI Ambitions: A Reality CheckCambridge researchers question the UK's global leadership aspirations in AI, citing a lack of capital investment and computing power. The report calls for a focus on real-world AI applications that leverage the UK's strengths.ElevenLabs' AI Dubbing FeatureElevenLabs launches an AI-powered voice cloning and dubbing system, capable of translating voice recordings into over 20 languages. While the technology is promising, it raises ethical questions around potential misuse.OpenAI's Shifting Core ValuesOpenAI revises its core values, moving from "audacious" and "thoughtful" to a focus on "scale" and "AGI." The change raises questions about the company's long-term goals and authenticity.Interview: Oliva Gambelin, Founder of Ethical IntelligenceOlivia Gambelin delves into the intricacies of AI ethics, emphasizing the need for corporate values that prioritise ethical considerations. She argues that aligning AI development with ethical guidelines is a business imperative.