KIMP’s Picks April 24th: Weekly Highlights In Design, Marketing, AI, & More

What’s new in the world of AI? Did you miss the social media algorithm updates? Catching up doesn’t have to mean endless scrolling. We’ve rounded up the week’s updates right here. 

The latest social media buzz wrapped up in a neat little recap post – that’s KIMP’s Picks! So, let’s get started with KIMP’s Picks’ April 24th Edition.  

In the Marketing Realm

Google Ads rolls out AI safety upgrades 

Google is expanding its AI-powered Ads Advisor with new safety features designed to simplify campaign management and improve account security. The update focuses on three areas: proactive troubleshooting, continuous monitoring, and faster certifications.

Ads Advisor can now detect policy violations in real time and guide users step-by-step to fix them before appeals. Security is also getting a boost. The tool now monitors accounts 24/7, flags risks like inactive users or suspicious domains, and offers tailored recommendations through a new dashboard.

Another major upgrade is instant certifications. Instead of lengthy paperwork, Ads Advisor uses AI to assess eligibility and either approve certifications immediately or assist with quick applications.

How AI is reshaping marketing 

Google’s Media Lab has outlined how AI is rapidly transforming marketing across creative, media, and measurement. 

AI increasingly handles campaign planning and optimization, while marketers focus on feeding better data and high-quality assets, especially short-form video. Testing has also become more structured, with clear success metrics helping teams scale what works faster.

AI is also playing a crucial role as video is becoming a dominant format. AI in marketing is helping teams break silos and streamline media, creative and production for more integrated workflows. 

In the Content Marketing Realm

Content quality and its impact on AI search 

There has always been a debate about the quality of content and how it affects AI search visibility. A recent post from Search Engine Journal delves into this debate. 

New research shows that high-quality, original content doesn’t always guarantee top rankings. While Google and AI platforms like ChatGPT and Perplexity often favor strong content, the relationship isn’t consistent.

The study analyzed B2B search results and found only a weak link between originality and performance. Original content tends to do better for opinion-based or interpretive queries, like best practices or benefits. But for simple, factual searches, accuracy matters more than originality.

In some cases, “good enough” content can outperform highly polished work, especially when it targets emerging topics early.

This comes as a reminder for brands to focus less on perfecting content and more on spotting opportunities early and publishing valuable insights before others do. 

Adobe introduces Brand Intelligence to keep AI-driven content consistent at scale 

Maintaining brand consistency as content production scales is a challenge several marketing teams face and Adobe is tackling this with its new updates. As teams rely more on AI tools, content is being created and adapted faster than ever. But without a clear understanding of brand identity, this often leads to inconsistent outputs.

Adobe Brand Intelligence acts as a central system that learns how a brand “thinks” by analyzing guidelines, past campaigns, and real-world decisions made by teams. It captures subtle judgment calls, like tone, design choices, and what feels right, which traditional brand guidelines often miss.

At its core, the system continuously learns and applies brand knowledge across workflows, helping teams scale content without losing quality. 

In the Design Realm 

Anthropic introduces Claude Design 

Anthropic has introduced Claude Design, a new AI-powered tool that helps users create visual assets like prototypes, presentations, and marketing materials through simple prompts. Built on the advanced Claude Opus 4.7, the product is now in research preview for paid Claude users.

The tool allows users to generate initial designs quickly and refine them through conversation, comments, or direct edits. It can also apply a company’s brand guidelines quickly in order to ensure brand consistency across projects.

According to Anthropic, Claude Design supports a wide range of use cases. Teams can build interactive prototypes, draft product wireframes, create pitch decks, and design marketing assets without deep technical or design expertise. It also enables collaboration, letting teams share, edit, and iterate on designs together in real time. 

Walmart reimagines Great Value with modern design overhaul 

Walmart has unveiled a full redesign of its private label brand Great Value, marking its first major refresh in more than 10 years. The update focuses on a modern look while keeping products and pricing unchanged under the retailer’s Everyday Low Price promise.

The redesign will roll out across nearly 10,000 items over the next two years, starting with salty snacks. While packaging is changing, Walmart says the products inside remain the same, with the goal of improving shelf clarity and online shopping experience.

The new system introduces clearer nutrition labels, more consistent product information placement, and a cleaner visual design. Walmart says the move reflects a broader push to modernize private brands while maintaining affordability and trust.

Rebrands like these demonstrate that brand identity and packaging design are becoming as important as price in driving shopper choice. 

Canva introduces Canva AI 2.0 

Canva has introduced Canva AI 2.0, its biggest product upgrade since launch. The update is currently in research preview for users.

Built on the new Canva Design Model, the system is designed to understand real-world design structure and generate fully editable, layered outputs from simple prompts. Instead of starting with templates, users can now start with an idea and build complete designs through conversation.

Canva AI 2.0 supports end-to-end creation, from early concept to finished output. It can generate presentations, marketing campaigns, documents, and interactive content while keeping everything editable and on-brand. It also remembers user preferences over time, making outputs more consistent and tailored.

New capabilities include automated workflows for tasks like web research, scheduling content, connecting with tools like Slack and Google Drive, and generating structured spreadsheets or presentations. It also introduces interactive design features through code-based outputs. 

In the AI Realm 

OpenAI launches ChatGPT Images 2.0

OpenAI has introduced ChatGPT Images 2.0, a major upgrade to its image generation system inside ChatGPT. The new version moves beyond basic image creation and adds reasoning capabilities to improve accuracy, layout quality, and instruction following.

Images 2.0 is designed to understand prompts more deeply before generating visuals. This helps it produce cleaner designs, better text rendering, and more structured outputs like posters, slides, and infographics. It can also generate multiple consistent images from a single prompt and handle more complex visual layouts. 

The model has been receiving rave reviews from users and is reportedly now at the #1 spot among text-to-image models according to Arena.ai ranking. 

Workspace Agents in ChatGPT: automate team workflows 

OpenAI has launched Workspace Agents in ChatGPT. This new feature is designed to help teams automate complex, repeatable workflows across tools like Slack, email, and internal systems.

Built similar to GPTs, these agents are powered by Codex. They can handle tasks such as report generation, coding support, lead qualification, and message drafting. Unlike standard chat tools, they run in the cloud and can continue working even when users are offline.

The key idea is shared intelligence for teams. Workspace Agents can pull context from connected systems, follow internal processes, and escalate for approval when needed. They are also designed to be reused and improved over time across entire organizations.

Google introduces Continued Conversations in Gemini for Home 

Google is introducing a new feature called Continued Conversation in Gemini for its smart home experience. This update helps make voice interactions feel more natural and less repetitive.

The feature lets users continue speaking after the first “Hey Google” command without repeating the wake phrase. After responding, the assistant keeps listening briefly, allowing follow-up questions in the same flow.

A key upgrade is better conversational memory. The system now keeps context across turns, so users can ask follow-ups without restating details. This makes interactions smoother and closer to real conversation.

It also expands globally with multilingual support across all available regions and languages.

Google’s Gemini Enterprise Agent Platform redefines AI infrastructure for organizations 

Google Cloud has introduced the Gemini Enterprise Agent Platform, a major upgrade to its AI infrastructure designed to help companies build, manage, and scale autonomous AI agents across business systems.

The platform evolves from Vertex AI into a full agent ecosystem. It combines model selection, agent building, orchestration, security, and DevOps tools in one environment. It also supports access to over 200 models, including Gemini, Gemma, and third-party options like Claude.

At its core, the platform enables businesses to move from simple AI tasks to full workflow automation. Agents can now handle multi-step processes while staying connected to enterprise tools and governed systems. 

Early adopters across industries like healthcare, finance, and telecom are already using agents to automate operations and improve decision-making at scale.

Amazon x Anthropic expand their partnership 

Amazon and Anthropic are expanding their partnership through a major new deal that combines large-scale infrastructure commitments with multi-billion-dollar investments in AI development.

Amazon will invest $5 billion immediately in Anthropic, with up to $20 billion more planned based on future milestones. At the same time, Anthropic has committed to spending over $100 billion on AWS infrastructure over the next decade.

A key part of the agreement is access to up to 5 gigawatts of computing power using Amazon’s custom AI chips, including Trainium and Graviton. These systems will support the training and deployment of Anthropic’s Claude models at a massive scale.

Google expands Deep Research with new AI agents 

Google has expanded its Gemini Deep Research capabilities with two new AI agents, Deep Research and Deep Research Max. These new AI agents help power advanced research and analysis across enterprise use cases.

The update builds on the existing autonomous research tool and integrates the latest Gemini 3.1 Pro. It allows developers to run full research workflows through a single API call, combining public web data with private enterprise datasets for deeper insights.

Deep Research is designed for fast, low-latency use, making it suitable for real-time applications. Deep Research Max focuses on deeper reasoning and longer processing, producing more detailed reports for complex tasks like financial analysis, scientific research, and due diligence. 

Google introduces Workspace Intelligence 

Google has launched Workspace Intelligence, a new AI system designed to bring together emails, documents, chats, and files into a single intelligent layer that helps users complete work faster inside Google Workspace.

The system is built into tools like Docs, Sheets, Slides, Gmail, and Drive, and uses advanced reasoning from Gemini to understand not just data, but also context, priorities, and team relationships. Instead of switching between apps, users can now delegate tasks and get results directly within their workflow.

Workspace Intelligence focuses on three core functions: gathering relevant information across apps, understanding what matters most based on current work, and personalizing outputs to match user style and communication patterns.  

Workspace Intelligence can generate documents, build spreadsheets, create presentations, summarize emails, and surface key actions without manual searching. 

Adobe introduces Adobe CX Enterprise 

Adobe has introduced CX Enterprise, a new AI-powered platform designed to help businesses manage and optimize customer experiences in an era where AI is becoming the main gateway between brands and consumers.

The company says customer journeys are shifting rapidly as people increasingly discover, evaluate, and purchase products through AI assistants instead of traditional search or ads. This change is pushing enterprises to rethink how they engage customers across every touchpoint.

CX Enterprise is built around customer experience orchestration. It connects content creation, customer engagement, and brand visibility into one system powered by agentic AI. The goal is to help companies deliver real-time, personalized experiences while maintaining consistency and trust.

Social Media Feature Updates and Algorithm Changes  

Custom Timelines on X 

X has introduced Custom Timelines, a new feature that lets users build and switch between personalized feeds based on topics, interests, or specific communities.

The update is designed to give users more control over what they see on the platform. Instead of relying on a single algorithmic feed, users can now create multiple timelines tailored to different needs, such as news, sports, tech, or niche discussions.

Custom Timelines aim to make content discovery more intentional. Users can group posts into separate streams and move between them without losing context. This helps reduce noise and improve relevance in fast-moving feeds.

The feature also supports better content organization for creators and communities, making it easier to track specific conversations or themes in real time. 

Additionally, X is also adding an option that lets users snooze specific topics on the For You tab which is now available for Premium subscribers on iOS and Web.

Meta is making conversations on Threads better with Live Chats 

Threads is rolling out Live Chats, a new feature designed to let users join public group conversations around major cultural moments like sports games, album releases, and live events.

Live Chats are built for real-time interaction. Users can join active discussions, respond with messages, photos, videos, and links, and take part in polls while events unfold. Features like live indicators, typing status, countdowns, and real-time scores help keep conversations synced with the moment.

The feature is being launched first within the NBAThreads community during the playoffs, with creators and media personalities hosting chats around live games to drive engagement and discussion.

View on Threads

Place Loyalty on Snap Map 

Snapchat has launched Place Loyalty, a new feature on Snap Map that ranks how often users visit specific locations and turns everyday routines into visible badges.

The feature tracks visits over the past year and places users into tiers based on frequency. Top 1% visitors earn Gold status, while Silver and Bronze go to the top 10% and 25%, respectively. This applies to places like cafés, restaurants, airports, and other frequently visited spots.

Users can see a “Top Visitor” badge on eligible locations and tap it to view their ranking. The feature also includes shareable stickers, allowing users to showcase their loyalty status. For brands and chains, visits are aggregated across locations to reflect overall engagement.

On a Final Note 

With that we close this week’s social media recap. That’s an overwhelming bunch of updates to catch up on! From autonomous agents to enterprise-ready AI solutions, AI is definitely moving faster than expected. If keeping up feels like a challenge, don’t worry, we’ve got you covered. We’ll see you again with a fresh round of updates from the upcoming week. Stay tuned.