Salesforce Implements AI Checkout While Google OpenAI Discuss Amazon

The artificial intelligence landscape is rapidly evolving, with a projected market growth to $2.5 trillion by 2033, driven by increased automation, the explosion of big data, and widespread adoption across various industries. This expansion is fundamentally reshaping how businesses operate and consumers interact with technology. In retail, AI agents are beginning to autonomously buy and sell goods, with projections suggesting they could represent many households by Black Friday 2027, leveraging combined buying power for better deals. Companies like Walmart and Salesforce are already implementing AI for instant checkout experiences. However, this agentic commerce also presents significant challenges, including potential for fraud and data loss. Most online retailers are currently unprepared to detect and manage even basic bots, which could lead to issues with data integrity and pricing. Major players like OpenAI and Google are still negotiating with large retailers such as Amazon regarding user data sharing, and current AI shopping features often lack personalization, leading to slow and less-than-seamless experiences, a point Amazon CEO Andy Jassy has criticized. Innovation continues at a rapid pace across the tech sector. Databricks recently announced new tools for agentic AI and GenAI. Alibaba.com is introducing an "AI Mode" subscription service, powered by its Qwen AI models, and plans to launch "agentic pay" in December, where AI automatically generates contracts from buyer-supplier chats, exploring tokenized payments with JPMorgan. Builder.io launched Fusion 1.0, an AI agent designed to streamline product, design, and code development by integrating with platforms like Slack, Jira, Figma, and GitHub. Meanwhile, TD Synnex unveiled Digital Bridge, an AI-powered sales tool that works within Microsoft Teams and Outlook to help partners increase sales. Underlying this growth are critical infrastructure and security considerations. The AI industry is currently debating the lifespan and value retention of Graphics Processing Units (GPUs), with Google, Oracle, and Microsoft estimating up to six years for their AI computers, while CoreWeave claims older Nvidia A100 and H100 chips remain in high demand. Nvidia's CEO Jensen Huang has hinted that newer chips, released annually, could quickly devalue older models. On the security front, major AI systems from Meta, Nvidia, and Microsoft, along with open-source projects, were found to have serious "ShadowMQ" vulnerabilities, allowing attackers to run their own code due to unsafe programming practices. AI's influence is also extending to how we access information and engage with creative content. Google is reportedly considering making its "AI Mode" the default search experience, which could significantly alter website traffic for brands and introduce new advertising models. This shift may also challenge brands' control over their online narratives. In the creative sphere, country singer Chris Janson is actively advocating for stronger regulations to protect artists from AI-generated music, highlighting growing concerns about intellectual property and artistic integrity.

Key Takeaways

• The AI market is projected to grow significantly, reaching $2.5 trillion by 2033, driven by automation, big data, and rapid adoption.
• AI agents are transforming retail by enabling autonomous buying and selling, with Salesforce and Walmart already using AI for instant checkout.
• Challenges for AI shopping agents include slow performance, lack of personalization, data sharing negotiations between OpenAI/Google and Amazon, and many retailers being unprepared for bot management.
• Databricks is expanding its agentic AI and GenAI tools, while Alibaba.com launched an "AI Mode" subscription and plans "agentic pay" using Qwen AI models and exploring tokenized payments with JPMorgan.
• Builder.io introduced Fusion 1.0, an AI agent that integrates product design and code development, working with platforms like Slack, Jira, Figma, and GitHub.
• TD Synnex launched Digital Bridge, an AI-powered sales tool integrated with Microsoft Teams and Outlook, to help partners increase sales.
• The AI industry is debating GPU lifespan, with Google, Oracle, and Microsoft estimating up to six years, while Nvidia's annual chip releases could quickly devalue older models.
• Major AI systems from Meta, Nvidia, and Microsoft, along with open-source projects, were found vulnerable to "ShadowMQ" attacks due to unsafe code patterns, posing risks of data theft and unauthorized access.
• Google is considering making its "AI Mode" the default search experience, which could reduce website traffic for brands and introduce new AI-powered advertising models.
• Country singer Chris Janson is advocating for stronger regulations to protect artists from AI-generated music, addressing concerns about intellectual property.

AI Bots Transform Retail Buying and Selling

The retail world is changing as AI agents begin to buy and sell goods on their own. By Black Friday 2027, AI agents could represent many households, using their combined buying power to get better deals. These bots can group consumer demand to create bulk orders, which allows retailers to offer discounts not possible for single buyers. This new bot-to-bot economy means retailers must change their pricing and marketing strategies. The technology for this shift is already being built and is rapidly solidifying.

Agentic AI Transforms Retail Bot Management

Agentic commerce, where AI agents buy products autonomously, brings both big opportunities and risks to retail. These agents can drive growth but also cause problems like fraud and data loss. Retailers must learn to identify, authenticate, and manage AI agents to succeed in this new landscape. Walmart and Salesforce are already using AI for instant checkout, and many shoppers are open to AI making purchases for them. However, most online retailers are not ready to detect even basic bots, which could lead to issues with data and pricing. Managing bots and AI agents is becoming a key part of online business infrastructure.

AI Shopping Agents Face Challenges Now

While AI agents promise to do online shopping for you, this future is not yet fully here. Chatbot developers like OpenAI and Google are still negotiating with big retailers like Amazon about sharing user data. Current AI shopping features are slow and need a lot of user input, leading to a less than magical experience. Amazon CEO Andy Jassy criticized these tools for lacking personalization and having wrong prices or delivery times. For example, an AI agent took much longer to add an item to a cart than a human. Companies are working on security and design, but issues with data sharing and compensation need solving before AI agents can handle all your shopping.

AI News Roundup November 14 Many Companies Innovate

This week's AI news, November 14, 2025, shows many companies are making big strides. Algolia released a report on how AI-powered search is changing retail advertising. Atera's research highlights that CIOs now need to lead with AI. Chronosphere launched AI-guided troubleshooting to fix problems faster. CoreWeave introduced zero-egress migration for AI workloads, making data movement easier across clouds. Cyera's new Access Trail helps track all data interactions by humans and AI. Chip startup D-Matrix raised $275 million for new AI inference chips. Databricks announced new tools for agentic AI and GenAI. DataCamp acquired Optima to create advanced AI learning platforms, and Deductive AI launched with $7.5 million funding for AI agents that reduce incident resolution time.

AI Market to Grow to 2.5 Trillion by 2033

The Artificial Intelligence market is expected to grow significantly, reaching 2,536.36 billion US dollars by 2033. This growth is fueled by increased automation, the explosion of big data, and quick adoption across many industries. AI systems, which mimic human intelligence, are now used in retail, healthcare, manufacturing, and more. Key drivers include the massive amount of complex data needing analysis, the fast adoption of AI tools like OpenAI's "o1" models, and the demand for personalized customer experiences. However, challenges remain, such as the "black box" problem where AI decisions are unclear, and a global shortage of skilled AI workers.

TD Synnex Unveils AI Sales Tool Digital Bridge

TD Synnex launched a new AI-powered tool called Digital Bridge to help its partners increase sales. This tool works within Microsoft Teams and Outlook, aiming to improve how partners win deals in fast-growing tech areas like AI and cloud. The current version helps partners with important skills and insights. By next year, the company plans to release an even more advanced version that will act like an AI consultant, offering recommendations based on TD Synnex's vast knowledge. This innovation helps sales, marketing, and operations teams understand technology better and deliver strong results to customers.

Alibaba.com Adds AI Subscriptions and JPMorgan Payments

Alibaba's cross-border e-commerce business, Alibaba.com, is launching new AI services and exploring stablecoin-like payments with JPMorgan. Kuo Zhang, president of Alibaba.com, announced an "AI Mode" subscription service to help buyers compare suppliers and boost global trade. This new service, which might cost $20 per month or $99 per year, uses Alibaba's Qwen AI models. In December, Alibaba.com will also introduce "agentic pay," where AI automatically creates contracts from buyer-supplier chats. This move, along with tokenized payments, aims to make international transactions faster and cheaper. The company has seen a 50% increase in active suppliers worldwide.

Builder.io Launches Fusion AI for Product Design Code

Builder.io introduced Fusion 1.0, an AI agent that connects product, design, and code development into one smooth process. This new tool works with popular platforms like Slack, Jira, Figma, and GitHub, allowing teams to go from idea to finished product without switching tools. Fusion can turn conversations into feature requests and Jira tickets into code. Designers can use a visual canvas that writes real code, while developers review AI-generated updates. Fusion learns team preferences and creates production-ready code, having already helped create over 10 million features for large companies. It is available now for all Builder.io customers.

AI Industry Debates GPU Lifespan and Value

The AI industry is currently debating how long Graphics Processing Units, or GPUs, will remain valuable before they lose their worth. Companies like Google, Oracle, and Microsoft estimate a lifespan of up to six years for their AI computers. However, some, like investor Michael Burry, are skeptical, pointing out that the current AI boom is only three years old, so there is little history to predict how long GPUs will last. CoreWeave CEO Michael Intrator claims their older Nvidia A100 and H100 chips are still in high demand and retain much of their value. Despite this, CoreWeave depreciates its GPUs over three years. Nvidia's CEO Jensen Huang has also hinted that newer chips could quickly make older models less valuable, especially as Nvidia now releases new AI chips every year.

Apollo Co-President Discusses Investments and AI

Scott Kleinman, Co-President of Apollo, discussed investments, the private equity market, and AI on Bloomberg Open Interest on October 28, 2025. He explained that Apollo's careful, value-focused approach allows them to buy companies at lower prices. This strategy means they do not need extremely high valuations when selling these companies, allowing them to exit at fair prices and still make good profits. Kleinman noted that a "tough exit environment" mainly affects those who paid too much for assets initially. Private Equity has been a key part of Apollo's business for over 30 years.

Major AI Systems Hit by Copy Paste Vulnerability

Cybersecurity experts found serious vulnerabilities in major AI systems from Meta, Nvidia, and Microsoft, as well as open-source projects. These flaws, called "ShadowMQ" by Oligo Security, spread because developers copied unsafe code patterns between projects. The main problem was the risky use of ZeroMQ and Python's pickle deserialization, which allowed attackers to run their own code. Meta's Llama Stack was first affected, and the same issue appeared in Nvidia's TensorRT-LLM and other frameworks. These vulnerable systems are crucial for many businesses, and an attack could lead to data theft or unauthorized access. Users should update to patched versions and follow security recommendations to stay safe.

Google May Make AI Mode Its Default Search

Google might soon make its "AI Mode" the default search experience, which would greatly change how people find information online. If this happens, brands could see less traffic to their websites because AI Mode provides direct answers. Google plans to introduce ads into AI Mode, which could make paid visibility more important for businesses. This shift also means brands might lose some control over their online story if AI pulls inconsistent information from various sources. To adapt, brands should test AI ads, ensure easy customer journeys, and create high-quality content that AI can easily understand. This move will reshape how businesses gain visibility and trust online.

Country Singer Chris Janson Fights AI Songs

Country singer and songwriter Chris Janson is speaking out against AI-generated music. He is asking lawmakers to create stronger rules to protect artists from these new technologies. Janson discussed the growing number of AI-created country songs on "America's Newsroom." He believes it is important to stop AI from making songs that could harm human artists and their work.

Sources

• How Bot-to-Bot Commerce Is Rewriting the Rules of Retail
• From Bots to Buyers: With Agentic AI, Bot Management Becomes Core Infrastructure
• You Won’t Be Able to Offload Your Holiday Shopping to AI Agents Anytime Soon
• Artificial Intelligence News for the Week of November 14; Updates from Databricks, Salesforce, VAST Data & More
• Artificial Intelligence (AI) Market Size and Forecast 2025–2033
• CRN Exclusive: TD Synnex Launches Agentic AI-Based Digital Bridge Sales Tool To Power Partner Sales Growth
• Alibaba cross-border arm plans AI subscriptions and stablecoin-like payments with JPMorgan
• Builder.io Launches Fusion 1.0 -- the First AI Agent for Product, Design, and Code
• The question everyone in AI is asking: How long before a GPU depreciates?
• Scott Kleinman Discusses KDP Investment, PE Exit Environment and AI on Bloomberg Open Interest
• Copy-paste vulnerability hit AI inference frameworks at Meta, Nvidia, and Microsoft
• Is Google About To Go Full AI Mode?
• Country singer urges lawmakers to ‘put a stop’ to AI-generated songs