Visa collaborates with Openai, Microsoft and more to build AI shopping agent
Last week’s visa (Nasdaq: v) announced A partnership with Anthropic, Microsoft (Nasdaq: MSFT), Openai, Preplexity, Mistral AI, IBM (Nasdaq: IBM), Stripe and Samsung (Nasdaq: ssnlf) to lean to these partners to blend in artificial intelligence (AI) with payments and build an AI agent who can help consumers complete purchases from beginning to end.
What a visa has in mind is a You have an agent Connected to the user’s credit card and can follow instructions such as “stay under $ 200 and book me a turn-out trip from Philadelphia to San Francisco in early August” or “Arrange my weekly grocery stores on Sunday.” These types of end-to-end tasks are seen as the next limit for AI agents, but they have hit friction regarding Payment steps.
Appear main product and strategy, Jack Forestell, mentioned: “The early incarnations of agent-based trade start to do a really good job with shopping and exploration dimension of the problem, but they have enormous problems with payments. You come to this point where the agents literally just turn it back and say,” Ok, you go and buy it. “
Show realize that solution of this bottleneck requires having payment providers in the mix, why Visa Works with these companies to bring their vision to life.
The company imagines that its agent is useful for small, everyday purchases such as restoring pantry objects and more dynamic tasks such as planning trips that require the user to buy tickets.
While 2025 would be “AI agent’s years“We are almost halfway through and frankly, things have been quite quiet on the front of the AI agent. My sigh is that part of the delay has been technical, which View points out, but another part of the equation is that AI agents still feel like a foreign concept for most AI users. This probably means that we will have to see some pedagogical -Agents.
Meta launches independent AI app to compete with chatgpt and claude
Meanwhile meta (Nasdaq: Meta) announced It will launch a standalone application For its generative AI system, meta AI. This gives Meta AI its dedicated interface, separately from Facebook, Instagram and WhatsApp chats, and adapts it to what users have expected from other popular generative AI platforms such as Chatgpt and Flap.
Meta places its AI as more personal than competitors, mainly because of the unique data it already has about users. Since meta can drag from activity over their family of apps (Facebook, Instagram, WhatsApp), it thinks it can create customized outputs that are more in line with each user.
The new Meta AI app also contains a social media-like aspect called “Discover” flow. The discover section allows users to browse posts that give them a glimpse of how others use meta AI and allows them to share their creations and instructions. In a way, this gives us a look at how AI-infused social platforms can work, which may be of interest as there are currently rumors that Openai builds its AI-powered social network.
Overall, this is likely to be positive for meta AI. While integrated AI directly into Instagram, Facebook and WhatsApp really gave meta -mass distribution from the first day, it did not always translate into a smooth user experience, especially for power users or professionals who tried to get real work with AI. If you are a software developer who trusts AI to write code, for example, the last thing you want to dig through the Messenger threads or WhatsApp is chatting to access your AI assistant.
Apple collaborates with Anthropic to create internal “vibe coding” platform
Also last week, Apple (Nasdaq: Aapl) revealed It collaborates with Anthropic, the team behind Claude, to build an internal “vibe -coding” platform that utilizes AI to write, edit and test code. Vibe -coding is a new way to build software where developers instead of writing each code by hand, developers who explain what they want the app or feature to do and let AI write the code for them. You start with rough instructions, test what AI gives you and continue to refine the instructions until your product takes shape. Vibe coding quickly becomes a much faster and resource-efficient way to build a product; It is intuitive and does not require a CS degree or year of programming experience to build a product.
This movement of Apple adapts to a new trend that we see from significant names in the technology industry. Earlier this year, Y Combinator revealed That 25% of the companies in their winter 2025 -kits said that AI wrote 95% of their code. Not long after, Microsoft’s CEO Satya Nadella said that about 20% to 30% of the code in Microsoft’s internal repository was written by AI.
The latest step of Apple validates further the idea that Artificial intelligence Can be as effective as a human software engineer when it comes to creating significant products that earn hundreds of millions of people all over the world every day.
In order for artificial intelligence (AI) to work properly within the law and thrive on growing challenges, it must integrate a corporate blockchain system that ensures data input quality and ownership – which makes it possible to keep data secure and at the same time guarantee data impossible. Check out COINGEEK’s coverage on this new technology to learn more Why Enterprise Blockchain will be the spine in AI.
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