Meta Launches Business AI, Anthropic Claude Aids Norges Bank

Businesses are increasingly integrating artificial intelligence into their operations, with Meta leading the charge by launching Business AI tools designed to enhance customer experiences and boost sales for small and medium-sized businesses. These AI assistants will be available across Meta's platforms like Facebook and Instagram, as well as on company websites and messaging apps like WhatsApp and Messenger. Beyond Meta, the AI investment surge predicted by Bank of America, potentially exceeding $1.2 trillion annually by 2030, highlights a broader trend. Norges Bank Investment Management, managing a $2.2 trillion portfolio, is prioritizing AI to improve efficiency, with tools like Anthropic's Claude analyzing reports and data. The fashion industry is also leveraging AI to predict trends by analyzing runway shows and social media, while agricultural tech startup Instacrops uses AI to significantly reduce water usage and increase crop yields. Experts like Zico Kolter, a professor at Carnegie Mellon University, foresee a creative boom driven by AI tools such as ChatGPT, encouraging their use for everyday tasks. However, a Thomson Reuters report emphasizes that a smart AI strategy, not just tool adoption, is crucial for achieving a return on investment, recommending a framework that includes aligning technology with business goals and investing in talent. The Trade Desk is also enhancing its ad market position with Audience Unlimited, an AI-driven platform for data accessibility. Lessons from Hong Kong's LeaveHomeSafe app indicate that public trust in government technology hinges on clear communication and transparent data management, not just technological sophistication. Even in sports, AI is being used, with SportsLine's AI predicting NFL Week 5 winners with a strong track record.

Key Takeaways

  • Meta is launching Business AI tools to help small and medium-sized businesses with sales and customer interactions on its platforms and external websites.
  • Bank of America predicts annual AI investments will nearly triple to over $1.2 trillion by 2030, driven by infrastructure upgrades and business adoption.
  • Norges Bank Investment Management is using AI, including Anthropic's Claude, to increase efficiency for its 700 staff managing a $2.2 trillion portfolio.
  • The fashion industry is employing AI to analyze runway shows and social media for predicting upcoming trends.
  • Instacrops, an agritech startup, uses AI to help farms cut water usage by up to 30% and boost crop yields by 20%.
  • Experts like Zico Kolter believe AI tools such as ChatGPT will spur an unprecedented creative explosion.
  • A Thomson Reuters report indicates that a strategic approach to AI implementation is more effective than simply buying tools, with firms having AI strategies being over three times more likely to see ROI.
  • The Trade Desk has launched Audience Unlimited, an AI-driven platform to make third-party data more accessible for advertisers.
  • Public trust in government AI applications, as seen in Hong Kong, depends on clear communication and transparent data management.
  • Sports analytics platforms are using AI, like SportsLine's, to predict outcomes for events such as NFL games.

Meta brings AI chat tools to outside websites

Meta is launching its Business AI chat tools, designed to help companies offer personalized recommendations and faster purchasing options to customers. These tools will be available on Meta's platforms like Facebook and Instagram, as well as on third-party websites. Clara Shih, Meta's head of business AI, stated that the goal is to help businesses improve customer experiences and operations beyond just ads. The Business AI digital assistant will be free for use within Meta ads and will have a low cost for integration on company websites. It will also be available on WhatsApp and Messenger in Mexico and the Philippines soon.

Meta offers new AI tools for brands

Meta has introduced new AI solutions for advertisers, including Business AI, a tool designed to help small and medium-sized businesses use AI for sales and conversions more easily. The company also launched new generative AI tools for video and image ads, such as AI-generated music. Business AI aims to simplify AI-powered sales guidance and product recommendations across Meta's platforms and business websites. Additionally, Meta is testing new ad experiences like virtual try-ons for clothing and improving ways to turn creator content into paid ads.

Meta launches AI sales assistant for small businesses

Meta has launched Business AI, an AI-powered sales assistant for small and medium-sized businesses (SMBs) to help drive sales and customer interactions. This tool can be used on Meta's platforms like Facebook and Instagram, as well as on businesses' own websites. Meta also introduced the Meta AI business assistant within Ads Manager to help advertisers optimize campaigns and resolve account issues. The company is also developing augmented reality shopping experiences and customizable advertising options.

Meta's new AI assistant helps businesses sell online

Meta has introduced Business AI, an AI-powered sales assistant designed for small and medium-sized businesses to help them scale operations and improve performance. This tool learns from a business's existing social posts, ad campaigns, and website to provide personalized customer responses 24/7. Business AI will be free within Meta Ads and available at a lower cost on websites and messaging apps like Messenger and WhatsApp. Meta also launched a Meta AI business assistant for Ads Manager to help optimize campaigns and resolve account issues.

AI expert predicts creative boom

Zico Kolter, a professor at Carnegie Mellon University and director of its Machine Learning Department, believes artificial intelligence will lead to an unprecedented creative explosion. He encourages people to use AI tools like ChatGPT, emphasizing their user-friendliness and potential for everyday tasks, from writing stories to planning meals. Kolter, who also co-founded the AI safety company Gray Swan AI, acknowledges potential risks but remains optimistic about AI's transformative capabilities. He notes that while AI can assist with tasks like coding, deep learning still requires human struggle and effort.

Young founder uses AI to boost sales outreach

Ibrahim Hasanov, founder of MyUser, is using AI to modernize sales outreach by creating personalized messages for potential clients. He believes that tailoring communication based on a prospect's interests significantly increases response rates compared to generic outreach. Hasanov, who started his first company at 13, developed MyUser to automate B2B outreach, allowing sales teams to focus on closing deals rather than repetitive tasks. His approach emphasizes understanding the prospect deeply and then demonstrating that insight in the message.

Norway's $2.2 trillion fund uses AI for efficiency

Norges Bank Investment Management (NBIM), managing a $2.2 trillion portfolio, is prioritizing AI to boost efficiency among its 700 staff. CEO Nicolai Tangen has urged employees to embrace AI, stating it can help them '10x your output.' Lead portfolio manager Thomas Larsen explained that AI agents like Anthropic's Claude analyze manager reports and trading data, allowing portfolio managers to focus on strategic tasks. NBIM is also developing an AI tool to detect behavioral biases in trade execution, aiming to improve investment decisions while carefully considering how to train junior staff in this new AI-driven environment.

Bank of America predicts AI investment surge

Bank of America analysts predict that annual investments in artificial intelligence will nearly triple between 2025 and 2030, exceeding $1.2 trillion. This growth is driven by the upgrading of infrastructure for accelerated computing, the need to protect existing market positions, sovereign AI initiatives, and the increasing adoption of AI productivity tools by businesses. The firm notes that AI infrastructure buildouts are robust, supported by strong cash flows from major cloud providers. Several chip and semiconductor equipment companies are identified as well-positioned to benefit from this trend.

Fashion industry uses AI to predict trends

The fashion industry is increasingly using AI to predict upcoming trends, moving beyond traditional methods relying on elite editors. Companies like Heuritech analyze vast amounts of data from runway shows and social media to identify early signals of trends. AI helps fashion retailers make decisions, such as choosing between color options for new products, by providing visual data and predictions. While AI offers sophisticated analysis, human expertise remains crucial for interpreting the data and understanding the commercial viability of predicted trends.

AI startup Instacrops saves water and boosts crops

Instacrops, a startup focused on agricultural technology, is using AI to help farms reduce water usage by up to 30% while increasing crop yields by as much as 20%. The company pivoted from hardware to software, now processing millions of data points per hour from IoT sensors and other sources. Their AI models analyze over 80 parameters, including soil moisture and weather, to provide irrigation advice to farmers via mobile phones and WhatsApp. Instacrops will demonstrate its water-saving AI technology at TechCrunch Disrupt 2025.

Smart AI strategy beats just buying tools

Many tax firms are mistakenly buying AI tools without a clear strategy, leading to limited returns. A Thomson Reuters report shows firms with AI strategies are over three times more likely to see a return on investment. Successful AI adoption requires aligning technology with business goals, choosing strategic partners, running pilot projects, establishing ethical guidelines, investing in talent development, and continuously measuring results. The report outlines a six-principle framework for firms to effectively implement AI and achieve transformative results.

Trade Desk's AI platform aims for ad market edge

The Trade Desk has launched Audience Unlimited, an AI-driven platform designed to make third-party data more accessible and affordable for advertisers. This innovation aims to enhance the company's competitive position in the digital advertising industry. The platform uses AI and machine learning to precisely identify audience segments, offering advertisers more flexibility and control over campaign management and optimization. Industry analysts are watching to see how this AI initiative will impact The Trade Desk's market share and influence future advertising strategies.

Hong Kong's AI app lessons on trust

Hong Kong's experience with the LeaveHomeSafe mobile app during COVID-19 offers lessons on public trust in government technology. A study found that support for the app was linked to willingness to cooperate with the government and accept some privacy loss, rather than trust in data-driven policy. The findings suggest that clear communication about policy justifications, transparent data management, and genuine public dialogue are crucial for building trust. The city aims to be an AI data hub, but technological sophistication alone is insufficient without public acceptance and strong governance.

AI picks NFL Week 5 winners

SportsLine's self-learning AI has analyzed Week 5 of the NFL season to provide predictions and betting picks for every game. The AI evaluates team data and opponent matchups to generate statistically informed ratings. For Week 5, the AI predicts the Buffalo Bills will comfortably cover the spread against the New England Patriots, rating it as an A+ pick. The AI has a strong track record, having hit over 2,000 4.5- and 5-star prop picks since the start of the 2023 season.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Meta Business AI Sales Assistant Customer Experience Advertising Generative AI Small Businesses SMBs E-commerce AI Tools AI Strategy AI Investment AI Adoption AI Applications AI Predictions AI in Fashion AI in Agriculture AI in Finance AI in Sports AI Ethics AI Governance AI Platforms AI for Efficiency AI for Sales AI for Marketing AI for Productivity AI for Trend Prediction AI for Water Conservation AI for Crop Yield AI for Investment AI for Ad Market AI for Outreach AI for Creative Boom AI for Tax Firms AI for NFL Picks AI for Public Trust AI for Government Technology AI for Data Analysis AI for Personalization AI for Optimization AI for Campaign Management AI for Video Ads AI for Image Ads AI for Music Generation AI for Virtual Try-on AI for Creator Content AI for Augmented Reality AI for Shopping Experiences AI for Customizable Advertising AI for Social Media AI for Messaging Apps AI for WhatsApp AI for Messenger AI for Facebook AI for Instagram AI for Ads Manager AI for Coding AI for Machine Learning AI for Deep Learning AI for Natural Language Processing AI for Computer Vision AI for Robotics AI for Automation AI for Data Science AI for Big Data AI for Cloud Computing AI for Cybersecurity AI for Healthcare AI for Education AI for Transportation AI for Manufacturing AI for Retail AI for Entertainment AI for Gaming AI for Research AI for Development AI for Innovation AI for Digital Transformation AI for Business Growth AI for Competitive Advantage AI for Market Share AI for Future Strategies AI for Infrastructure AI for Computing AI for Semiconductors AI for Chip Companies AI for Semiconductor Equipment AI for Cloud Providers AI for Cash Flows AI for Market Positions AI for Sovereign Initiatives AI for Productivity Tools AI for Accelerated Computing AI for Data Management AI for Public Dialogue AI for Policy Justifications AI for Data Hub AI for Technological Sophistication AI for Public Acceptance AI for Governance AI for Betting Picks AI for NFL AI for Sports Betting AI for Prop Picks AI for Team Data AI for Matchups AI for Statistical Ratings AI for Spread Picks AI for Betting AI for Trend Analysis AI for Data Interpretation AI for Commercial Viability AI for Fashion Retailers AI for Color Options AI for New Products AI for Visual Data AI for Human Expertise AI for IoT Sensors AI for Data Processing AI for Mobile Phones AI for Irrigation Advice AI for Soil Moisture AI for Weather AI for Farms AI for Agricultural Technology AI for Water Usage AI for Crop Yields AI for TechCrunch Disrupt AI for Pilot Projects AI for Ethical Guidelines AI for Talent Development AI for Measuring Results AI for Six-Principle Framework AI for Transformative Results AI for Return on Investment AI for Business Goals AI for Strategic Partners AI for Technology Alignment AI for Third-Party Data AI for Audience Segments AI for Campaign Optimization AI for Control AI for Flexibility AI for Advertisers AI for Digital Advertising AI for Competitive Position AI for Audience Unlimited AI for Trade Execution AI for Behavioral Biases AI for Investment Decisions AI for Junior Staff Training AI for Strategic Tasks AI for Portfolio Managers AI for Trading Data AI for Manager Reports AI for AI Agents AI for Output AI for Staff AI for Portfolio AI for Fund Management AI for Sales Outreach AI for Personalized Messages AI for Potential Clients AI for Communication AI for Response Rates AI for Generic Outreach AI for Prospect Interests AI for B2B Outreach AI for Sales Teams AI for Closing Deals AI for Repetitive Tasks AI for Understanding Prospects AI for Insight AI for Creative Explosion AI for Everyday Tasks AI for Writing Stories AI for Meal Planning AI for ChatGPT AI for User-Friendliness AI for AI Safety AI for Transformative Capabilities AI for Coding Assistance AI for Human Effort AI for Human Struggle AI for Risk Acknowledgment AI for Optimism AI for AI Expert AI for Young Founder AI for Modernizing Sales AI for Boosting Sales AI for Customer Interaction AI for Driving Sales AI for Scaling Operations AI for Improving Performance AI for Social Posts AI for Ad Campaigns AI for Website Learning AI for Customer Responses AI for 24/7 Availability AI for Free Within Meta Ads AI for Lower Cost AI for Websites AI for WhatsApp Integration AI for Messenger Integration AI for Ads Manager Optimization AI for Account Issue Resolution AI for AR Shopping AI for Customizable Ads AI for Personalized Recommendations AI for Faster Purchasing AI for Business Operations AI for Ads AI for Digital Assistant AI for Third-Party Websites AI for Meta Platforms AI for Facebook Integration AI for Instagram Integration AI for WhatsApp Availability AI for Philippines Availability AI for Mexico Availability AI for New Ad Experiences AI for Video Ad Generation AI for Image Ad Generation AI for AI-Generated Music AI for Sales and Conversions AI for Simplifying AI-Powered Sales AI for Product Recommendations AI for Meta's Platforms AI for Business Websites AI for Generative AI Tools AI for Small and Medium-Sized Businesses AI for AI-Powered Sales Guidance

Comments

Loading...