AI

See what happens when creative legends use AI to make ads for small businesses

Ad veterans from Wieden+Kennedy and Droga5 are weaponizing generative AI to craft pro-bono campaigns for mom-and-pop shops, compressing weeks of production into days with Midjourney storyboards and ElevenLabs voice clones. The experiment tests whether diffusion models and LLMs can democratize high-end creative without eroding the human spark that sells.

The Small Brief is an initiative that brings together four ad industry icons to create pro-bono ad campaigns for local businesses they love. The mission is to build breakthrough, studio-quality campaigns that elevate these businesses while highlighting the storytelling power of AI.

Overview

The creatives have unlimited access to Flow, Google's AI creative studio, to bring these brand stories to life. The four ad industry icons and the businesses they are supporting are:

  • Jayanta Jenkins: Archangels
  • Tiffany Rolfe: South Ferry
  • Susan Credle: Stonewood Farm

Google's AI tools help small businesses achieve big-brand impact by empowering them to create studio-quality ads with their unique voice and style, find their next customers, and streamline workflows.

What it does

The use of AI in ad campaigns can compress weeks of production into days. Tools like Midjourney storyboards and ElevenLabs voice clones can aid in the creative process. The experiment tests whether diffusion models and LLMs can democratize high-end creative without eroding the human spark that sells.

The final campaigns and a deeper look into each creative's process will be revealed in June.

In practical terms, the use of AI in ad campaigns can help small businesses achieve professional-looking ads without the need for extensive resources. This can be a game-changer for local businesses looking to elevate their brand and reach new customers.

Similar Articles

More articles like this

AI 2 min

CyberSecQwen-4B: Why Defensive Cyber Needs Small, Specialized, Locally-Runnable Models

A 4-billion-parameter model, CyberSecQwen-4B, is proving that on-premises threat detection no longer demands GPU clusters—its sub-100 ms inference latency on a single CPU core lets SOC teams run real-time behavioral analysis without cloud dependency or telemetry leaks. By fine-tuning on MITRE ATT&CK sequences instead of generic text, it achieves 92% precision on zero-day TTPs while fitting inside air-gapped networks.

AI 1 min

EMO: Pretraining mixture of experts for emergent modularity

A breakthrough in deep learning architecture emerges with EMO, a novel pretraining method that leverages mixture of experts to induce emergent modularity in neural networks. By pretraining a hierarchical mixture of experts, EMO enables the discovery of task-specific sub-networks that adapt to changing input distributions, significantly improving the robustness and efficiency of downstream models. This modularization technique has far-reaching implications for scalable and generalizable AI systems.

AI 3 min

Train Claude to Remember You

Claude, an AI coding assistant, can be frustrating to use because it forgets user preferences and corrections after each session. A simple prompt can be used to make Claude write its own notes, allowing it to remember user preferences and improve over time. This guide explains how to use the prompt and save the output as a feedback file. By loading the feedback file into a Claude Project, users can create a personalized AI assistant that remembers their preferences and corrections. With regular use, Claude can become a valuable tool that feels like a personal assistant, rather than a generic AI.

AI 1 min

MedQA: Fine-Tuning a Clinical AI on AMD ROCm

A 70-billion-parameter clinical LLM, fine-tuned on AMD’s MI300X GPUs using ROCm 6.1, now matches or exceeds NVIDIA A100 performance on MedQA benchmarks—delivering 92% accuracy in differential diagnosis while cutting inference latency to 18 ms per token. The shift to open-source hardware stacks could break NVIDIA’s chokehold on medical AI training, slashing cloud costs by up to 40% for health systems.

AI 1 min

Scaling Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber

"OpenAI's latest Trusted Access for Cyber upgrade leverages GPT-5.5 and its specialized variant, GPT-5.5-Cyber, to expedite vulnerability research and safeguard high-stakes infrastructure through accelerated threat modeling, targeted exploit discovery, and AI-driven incident response. This strategic move empowers verified defenders to stay one step ahead of emerging threats, bolstering the resilience of critical systems. The integration of large language models and specialized cybersecurity tools marks a significant shift in the fight against cyber attacks."

AI 4 min

From Screenshot to Live Product: How to Build Real AI Websites with Stitch, Claude Code, and Vercel

AI website builders often generate beautiful but non-functional designs. This guide presents a practical workflow combining Google Stitch for design, Claude Code for engineering, and Vercel for deployment. It includes step-by-step setup instructions, a critical verification prompt, and pro tips to ensure your site is a real product, not just a demo.