New ChatGPT Agent that takes action for users.

Welcome to another version of The AI Business!

Today, we have:

● New ChatGPT Agent that takes action for users.

● Create video guides in minutes using AI. (100% FREE)

● Amazon makes $24B in sales in one day with the help of AI.

● Y Combinator’s AI startup reveals an interesting AI goal.

AI news
A Lot of Exciting News in The World of AI in Business Happened This Week:

● OpenAI pushes boundaries with ChatGPT agent that can take real actions for users: OpenAI has unveiled a powerful new general-purpose agent inside ChatGPT that can navigate apps, write code, generate presentations, and synthesize online research — all from natural language prompts. Dubbed “ChatGPT agent,” the tool integrates earlier agentic capabilities and is available to Pro, Plus, and Team subscribers starting Thursday. OpenAI says it connects with tools like Gmail and GitHub and significantly outperforms previous models on tough benchmarks like Humanity’s Last Exam and FrontierMath. The company has also added safety features, including biological threat monitors and disabled memory, to mitigate misuse risks. (Read Article)

● Google now makes business calls and answers complex queries for you: Google has launched an AI-powered business-calling feature across the U.S., letting users have Gemini call local businesses to check availability and pricing on their behalf. The update also brings Gemini 2.5 Pro to AI Mode in Search, enhancing capabilities in reasoning, math, and coding for Pro and Ultra subscribers. A new “Deep Search” function can now synthesize answers across hundreds of webpages into cited reports. These moves continue Google's push to rival services like ChatGPT and Perplexity AI by making Search more agentic and hands-free. (Read Article)

● Lovable hits unicorn status with $200M raise just 8 months after launch: Swedish AI startup Lovable has rocketed to a $1.8 billion valuation after raising a $200 million Series A led by Accel, just eight months post-launch. The platform helps users build websites and apps using natural language, attracting over 2.3 million users — including 180,000 paying subscribers generating $75M in ARR. With just 45 employees, Lovable’s rapid growth has drawn backing from major angels and top-tier VCs. Its traction with non-technical creators and enterprise clients like Klarna and HubSpot signals potential to reshape app development at scale. (Read Article)

● Google doubles down on practical AI inside Workspace for 3 billion users: Google Workspace is embedding Gemini AI deeply into tools like Docs, Gmail, and Slides to help users work faster and smarter without chasing AI hype, according to VP Kristina Behr. With 2 billion AI assists monthly, the focus is on practical, secure enhancements — from rewriting documents to summarizing emails. Google’s Trusted Tester programs drive development, while the company maintains a strict stance on privacy and compliance. Behr says the goal is to elevate work quality and free users from tedious tasks, not replace human creativity. (Read Article)

● AI dev tools shift to the terminal as agents take on deeper system tasks: A quiet revolution is unfolding in AI-assisted coding as tools shift from flashy code editors to the terminal, where agentic models can better handle complex, system-level tasks. Giants like OpenAI, Anthropic, and DeepMind now offer command-line AI tools, signaling a growing preference for this environment. Terminals offer flexibility to tackle everything from kernel builds to DevOps workflows — areas where traditional code editors like Cursor are falling short. With benchmarks like Terminal-Bench setting the bar, startups like Warp are leading the charge toward AI that works deeper in the stack. (Read Article)

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AI for Business
Prime Day’s $24B Sales Surge And 3,300% GenAI Spike: What Does it Mean For Businesses?

Amazon’s 2025 Prime Day didn’t just break records — it revealed a massive shift in how consumers discover, research, and buy products online. As businesses race to adapt to generative AI and changing shopper behavior, this year’s data offers powerful insights into what’s next for digital commerce. Here’s what you need to know.

Record-Breaking Numbers Signal a Broader Commerce Boom:

According to Adobe Analytics, U.S. e-commerce sales hit $24.1 billion over the four-day Prime Day event — up 30.3% year-over-year. That’s the equivalent of two Black Fridays rolled into one event. The top-performing categories included appliances (up 112%), office supplies (up 105%), and electronics (up 95%).

What it means:
The takeaway isn’t just that consumers are spending more — it’s that they’re spending faster and more decisively during digital-first events. Prime Day has become more than just an Amazon tentpole — it’s a catalyst for the entire online retail sector. For business leaders, this means seasonal and promotional agility is no longer optional. Real-time demand planning, competitive pricing models, and supply chain responsiveness are now critical to capturing these fleeting digital surges.

Generative AI Is Emerging as a Shopping Channel:

Perhaps the most eye-catching figure from the Adobe report is this: GenAI-driven traffic to U.S. retail sites surged 3,300% year-over-year. Shoppers increasingly turned to AI-powered chatbots and AI-enhanced browsers to compare prices, discover deals, and navigate complex buying decisions.

What it means:
While GenAI remains smaller in overall traffic than channels like paid search or email, its explosive growth reveals something business leaders can’t ignore — AI is becoming a trusted digital shopping assistant. Brands and retailers should now be asking: What’s our GenAI strategy? Whether it’s ensuring your product catalog is accessible to AI browsers, optimizing for AI-powered discovery tools, or creating branded shopping assistants, the time to invest is now.

New Customer Journeys Demand AI-Aware Marketing:

Influencer-driven purchases also jumped, accounting for 19.9% of U.S. online retail sales, up 15% year-over-year. These creators were found to be 10x more effective at converting shoppers than social media overall.

What it means:
Marketing is now a multi-channel, AI-augmented engine. With GenAI tools increasingly curating consumer choices and influencers driving impulse buys, your digital shelf space is no longer just a website — it’s a dynamic ecosystem. Brands that can blend influence + intelligence will thrive, while those who rely solely on legacy channels risk fading from relevance.

The Takeaway: AI-Driven Commerce Isn’t the Future — It’s Here:

The 2025 Prime Day event made one thing clear: generative AI has entered the consumer buying journey in a meaningful way. From research to conversion, AI now plays a role in shaping decisions, influencing spend, and streamlining engagement.

For business leaders, this is the moment to:

● Audit your product visibility across AI-powered platforms.

● Invest in tools that make your content AI-discoverable and shoppable.

● Rethink customer support, shopping experiences, and even loyalty through the lens of AI agents.

Prime Day may have come and gone, but the ripple effects for commerce strategy are just beginning.

AI Startups
An AI Startup Gave Up on Windows Agents and Revealed AI’s “Last Mile”:

One of the most hyped use cases for AI agents — automating desktop tasks — just hit a wall. Pig.dev, a Y Combinator Winter ‘25 startup, set out to bring AI automation to Windows. Just months later, the founder scrapped the project and pivoted to a new product. The reason? Users didn’t want tools — they wanted finished automations, and that didn’t align with the founder’s vision.

The Gap Between Promise and Practicality:

Pig.dev’s idea had huge potential: bring AI agents to the Windows desktop, a space with deep legacy software and enormous automation demand. But in practice, the founder found that companies weren’t looking for APIs or dev tools — they wanted someone to build and deliver fully working automations. That friction led to a hard pivot toward Muscle Mem, a caching system that helps agents offload repeatable tasks.

What it means:
Even high-potential AI ideas can fall flat when product delivery and market expectations don’t match. Business leaders eyeing AI automation must consider not just the what, but the how — success may depend as much on service models as on technical breakthroughs.

Enterprise Automation Still Has Big Gaps:

Pig.dev’s journey highlights a broader challenge: AI agents still struggle with long, context-heavy tasks like sustained desktop use. Y Combinator partners and Replit CEO Amjad Masad discussed this on a recent podcast, noting that while browser automation is advancing quickly, Windows and other GUI-based systems remain a “last mile” problem.

What it means:
For enterprises, the lesson is clear: AI’s biggest promise — end-to-end task automation — still faces hurdles, especially in environments with legacy software. Leaders should approach AI integration with eyes wide open, prioritizing narrow wins while keeping an eye on tooling innovation.

The Pivot Still Pushes AI Forward:

While Pig.dev abandoned Windows automation, its new product, Muscle Mem, is still tackling the problem — just from a different angle. By allowing AI agents to “remember” and reuse repeat actions, it could improve performance, reduce costs, and chip away at the challenges of long-running AI processes.

The takeaway:
AI automation isn’t always a straight path. But each pivot, even away from high-profile ideas, is a signal to business leaders about where the real challenges — and future breakthroughs — are emerging.

That’s it for today, thanks for reading till the end. 😊 

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See you next week.