Think Mint Media

In the offices of 2026, the morning stand-up meeting looks different. A marketing director logs in from her home desk, greeting her team: two human analysts, a content strategist, and a cluster of AI agents handling data pulls, trend spotting, and campaign tweaks. These agents do not clock out at five; they run simulations overnight and flag insights by dawn. This is not science fiction. It is the reality unfolding in companies across sectors, where AI moves from a handy tool for drafting emails to a full-fledged role player in the workforce. McKinsey's latest global survey shows that by late 2025, a median of 17 percent of respondents reported workforce reductions tied to AI adoption, signaling a pivot toward efficiency through automation. PwC's AI Jobs Barometer from 2025 echoes this, noting that AI enhances worker value even in automatable roles, with sectors like finance and tech leading the charge. The shift marks a profound change: businesses no longer assign tasks to AI;...

People in offices around the world have started to notice something strange. The most reliable worker on the team is not the one who shows up early or stays late. It is not even human. It is an algorithm, a piece of software that handles tasks with speed and precision that no person can match. This shift brings up deep questions about what management means today. Managers used to lead teams of people, guiding them through challenges and helping them grow. Now, with artificial intelligence taking over more roles, the job of a manager feels different. It is less about inspiring others and more about overseeing systems that run on their own. This article looks at three main sides of this crisis. First, there is the question of identity; what happens to a person's sense of self when machines do the work better. Second, accountability comes into play; who takes the blame when things go wrong in a system run by code. Third, the entry-level path for new workers is changing; if algorithms...

So you hear a lot about blockchain these days, and DeFi pops up all the time as this big shift away from banks. Decentralized finance basically lets people lend, borrow, trade, and earn interest on crypto without middlemen. It runs on smart contracts, those self executing bits of code on networks like Ethereum. But here's where it gets interesting; AI is starting to mix in, making things smarter and faster. I've been following this for a while, and it feels like we're at the start of something that could change how money moves online. Think about it. DeFi has grown huge, with billions locked in protocols, but it's still clunky. Users chase yields manually, risks pop up unexpectedly, and strategies require constant tweaks. AI steps in to handle the heavy lifting; analyzing data in real time, predicting trends, and automating decisions. This article dives into how AI optimizes yield farming, manages risks in protocols, and automates investments all in a trustless setup w...

I’ve been watching this space for years, and honestly, nothing gets me more excited right now than the tokenization of real-world assets. People keep calling it “RWA” like it’s just another crypto acronym, but it’s way bigger than that. This is the moment when the hundreds of trillions of dollars sitting in traditional finance finally start flowing onto blockchains in a serious way. We’re talking real estate, government bonds, private credit, commodities, art; basically everything that has actual value in the offline world is getting a digital twin that lives on-chain. And once that happens, the rules of ownership, liquidity, and access change forever. Think about it this way: crypto started with Bitcoin as digital gold and then Ethereum gave us programmable money. DeFi showed we could rebuild banking without banks. But until now, almost all of that activity has been playing with native crypto assets; tokens that were born on the blockchain. Real-world assets are the missing 99.9 % of...

  In 2025, almost every content team uses AI to some degree. Tools like Grok, Claude, Gemini, and ChatGPT can draft blog posts, product descriptions, meta tags, and even long-form guides in minutes instead of hours. The speed is incredible, but the risk is real: Google’s March 2024 core update and the ongoing Helpful Content system have made one thing crystal clear: if your site is flooded with low-quality or unedited AI content, you will get crushed in rankings. The antidote? Strong human oversight for AI content SEO. Done right, it lets you keep the scale and speed of AI while still hitting Google’s E-E-A-T standards (Experience, Expertise, Authoritativeness, and Trustworthiness). This article walks you through a battle-tested AI content workflow for experts that top agencies and in-house teams are using today to rank #1 even in YMYL and competitive niches. Why Human Oversight Is Non-Negotiable in 2025 and Beyond Google has never banned AI-generated content. What they have rep...

In the world of high-stakes finance, few moves grab headlines quite like a billionaire founder offloading chunks of his own creation. Bill Gates, the Microsoft co-founder turned global philanthropist, just made waves by having his foundation slash its Microsoft holdings by nearly 65 percent. We're talking about 17 million shares sold off in the third quarter of 2025 alone, raking in roughly $8.7 billion at average prices around $509 per share. This isn't some minor trim, it's a seismic shift that dropped Microsoft's spot from the foundation's top holding to fourth place, shrinking the position from $13.9 billion to about $4.76 billion. But why now? Microsoft stock has been on a tear, fueled by its deep dive into artificial intelligence through partnerships like OpenAI and tools like Copilot. The company's market cap hovers near $3.5 trillion, making it one of the world's most valuable firms. So, is this a straightforward cash grab to fund the Gates Foundati...

AI's Common Sense Problem: Our Best Defense There's a joke that's been making the rounds in AI research circles for years. A robot walks into a bar and orders a beer. The bartender, curious, asks if the robot can pass a simple test: "If you're in a room with a candle, a newspaper, and a wooden chair, and you need to start a fire to stay warm, what do you burn first?" The robot thinks for a moment and answers confidently: "The newspaper, because it has the lowest ignition temperature." The bartender shakes his head. "Wrong. You burn the match first." It's a corny joke, but it reveals something profound about artificial intelligence. For all their superhuman abilities at chess, protein folding, and image recognition, AI systems routinely fail at tasks that any five-year-old would find trivial. They can write poetry but don't understand that you can't fit a giraffe in a refrigerator. They can diagnose rare diseases but might not ...