The legal tension between artificial intelligence companies and major commerce platforms reached a new milestone yesterday. A federal judge ordered Perplexity to stop its AI agents from conducting automated shopping activities on Amazon, ruling in favor of Amazon in a dispute that began earlier this year. The lawsuit was originally filed after Amazon alleged that

The race to build the next generation of artificial intelligence platforms is accelerating rapidly. Technology companies are no longer focused only on building smarter models. Increasingly, they are investing in the ecosystems where AI systems interact, collaborate, and coordinate work. In this context, Meta’s acquisition of Moltbook represents a significant strategic move that blends technology.

Over the past few years, economists and business analysts have increasingly used the term “K-shaped economy” to describe the uneven recovery and growth patterns following major economic disruptions. In a K-shaped economy, different segments of society move in opposite directions: one group prospers and climbs upward, while another struggles and falls behind. The shape of

Artificial intelligence is often discussed in terms of its potential impact on jobs and productivity. But much of that discussion relies on speculation rather than empirical evidence. To address this gap, Anthropic, the company behind the Claude family of AI models introduced the Anthropic Economic Index, sometimes referred to as an AI labor impact index.

The rise of Agentic AI marks a seismic shift in how organizations operate. Unlike traditional AI assistants that respond to prompts, agentic systems can reason, adapt, and act autonomously across workflows—coordinating tasks, making decisions, and learning from outcomes without constant human intervention. This evolution transforms AI from a tool into an operational partner, reshaping not

As AI explodes across enterprises, managers are waking up to a startling shift: they’re no longer just leading humans—they’re also leading AI agents and chatbots. These digital teammates don’t call in sick, but they also don’t raise flags when they hallucinate facts. And guess what? When things go wrong, you, the manager, will still be

Generative AI has the potential to revolutionize the way businesses operate. However, successfully adopting Generative AI requires careful planning and execution. An implementation roadmap serves as a detailed guide that outlines the steps needed to integrate AI into your business processes. In this blog post, we’ll explore the key components of a successful Generative AI

As businesses increasingly look to Generative AI to drive innovation, improve efficiency, and stay competitive, strategic planning becomes a critical step in ensuring successful adoption. A well-thought-out plan lays the foundation for integrating AI into your business operations, aligning it with your goals, and maximizing its potential benefits. In this blog post, we’ll dive into

Assessing Organizational Readiness for Generative AI Adoption

Today’s enterprises are increasingly turning to Generative AI to drive innovation, improve efficiency, and gain a competitive edge. However, before diving headfirst into adopting this transformative technology, it’s crucial to assess whether your organization is truly ready. This involves a careful examination of various factors, including your organizational culture, the clarity of your business objectives.

Enhancing Human Agents with AI: Future of Customer Service

Customer service can be a hit or miss experience. One bad call with a customer service agent can easily sour your mood for the entire day. But what if artificial intelligence (AI) could transform this experience for the better? According to a recent survey by Cogito, a company specializing in AI-driven customer service, the answer.