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This week, we explore the latest advancements in AI, from major player movements to innovations revolutionizing the sports and fitness industry. Let's dive in!

Quick Takes:

• Elon Musk's xAI acquires video generation startup Hotshot

• A detailed prompt for competitive prospect targeting for your sports business

• AI tools for prospecting, banner ads, video optimization, and more

• Anthropic's Claude chatbot launches web search capabilities

• The gender gap in ChatGPT workplace adoption

• AI art challenge

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AI News Bytes

Elon Musk's AI company, xAI, has acquired Hotshot, a startup developing AI-powered video generation tools similar to OpenAI's Sora. Musk previously hinted at a potential "Grok Video" model release in the coming months so the acquisition makes sense.

Anthropic's chatbot, Claude, has finally added web search capabilities, allowing it to pull current data from across the internet. It is currently available for paid US users as a "feature preview," but will expand to free users and more countries in the coming weeks, making Claude more competitive with other AI chatbots that already offer web search functionality.

New research reveals a significant gender gap in ChatGPT adoption in the workplace. A study published in the Proceedings of the National Academy of Sciences found that younger, less experienced, and higher-earning workers are more likely to use the tool, while women adopt it at significantly lower rates—even among workers in the same occupation handling similar tasks.

Adobe has launched 10 AI agents and an orchestration tool on its Adobe Experience Platform, targeting customer engagement, content production, and site optimization. The company also introduced Brand Concierge, allowing organizations to personalize their websites for customers based on previous interactions.

Google is rolling out an AI-powered search upgrade for Gmail, introducing a "most relevant" search results feature that prioritizes emails based on factors like recency, frequently clicked messages, and common contacts.

Nvidia unveiled two AI supercomputers designed to bring AI computing power to desktops for developers, researchers, and data scientists. In a separate announcement, Nvidia partnered with General Motors to develop custom AI systems for next-generation vehicles. Here is a recap of Jenson Guang’s annual keynote at GTC 2025 where more products/partnerships were announced.

🧰 Tools and Tips

• Check out Bebop, a B2B lead generator that Quickly scans websites, reviews, and social media to provide a full picture of a company’s products, customers, and market.

• Fellow is an AI meeting assistant with the privacy and control settings to ensure your centralized meeting recordings, notes, and summaries are only accessible by the right people.

• Speed up your workflow by automating banner design with BannsAi.

• Aha provides an AI agent team that helps businesses launch, manage, and scale influencer marketing campaigns.

• Transform low-resolution videos into ultra-sharp 4K, boost frame rates up to 60 fps for smoother motion, and get pro-quality results with Freepik.

Prompt of the Day

Competitive Prospect Targeting Prompt

Your task:
Analyze customer reviews and sentiment data for competing products in the {industry} sector, specifically {Competitor 1}, {Competitor 2}, and {Competitor 3}. Gather insights from sources such as:

• Review platforms (G2, Capterra, Trustpilot, Amazon, etc.)

• Social media & forums (Twitter, Reddit, Quora, LinkedIn comments)

• Industry blogs & expert reviews

• Competitor FAQs & community forums

Analyze these reviews to identify:

1. Customer Pain Points – The most frequent complaints and frustrations in competitor reviews.

2. Opportunity Areas – Gaps in competitor offerings that {your product} can address.

3. Ideal Customer Profiles – The segments most likely to switch to {your product}.

4. Sentiment Trends – Positive and negative patterns shaping customer perception.

5. Marketing Messaging – The best way to position {your product} against competitors based on their weaknesses.

6. Acquisition Channels – Where these potential customers engage the most (social media, review sites, communities).

Use this analysis to generate a data-driven strategy for acquiring dissatisfied competitor customers and converting them into {your product} users. Ensure the response is structured into actionable insights, ready for implementation in marketing campaigns.

AI in Sports and Fitness

Out2Win, an AI-powered athlete marketing intelligence platform, has secured $1.3 million in seed funding. With a database of over 250,000 collegiate athletes, the platform helps brands maximize partnerships through data-driven insights.

FanDuel has introduced AceAI, an AI-powered chatbot for its sportsbook that provides bettors with data insights and betting assistance. Currently available for NBA and NFL markets.

HireBob.ai has secured $20 million in funding for its AI-powered sales and customer service solution for the fitness industry. The platform provides AI agents that can be branded to reflect a fitness company's voice, converting inquiries into memberships and delivering 24/7 support.

NYU researchers have developed an AI-powered food scanner that transforms smartphone photos into nutritional insights. With an 80% accuracy rate, the system recognizes food items and calculates nutritional content, potentially revolutionizing dietary tracking for consumers.

McFIT has launched Zoe De Biasi, Italy's first AI fitness ambassador. The 24-year-old virtual Sports Science student will create motivational content, attend events, and participate in group courses. McFIT plans to allocate revenues generated from Zoe's social content to social causes.

Researchers have developed an AI tool to analyze sleep patterns. The patch foundational transformer for sleep (PFTSleep) analyzes an entire night's sleep data, offering more comprehensive insights than traditional methods that rely on manually scoring short segments.

Relo Metrics is accelerating AI-powered sponsorship analytics by adopting NVIDIA technologies. With sports sponsorship projected to reach $151.4 billion by 2032, the platform leverages computer vision and real-time analytics to optimize sponsorship impact in sports and entertainment.

AI Art

Send us your AI image here for next week’s issue using the prompt: New design for a sports bottle.

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