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Imagine a financial analyst preparing a deal. There are market reports to read, internal documents to search, spreadsheets to compare, and a mountain of information that needs to make sense before a decision can be made. Now imagine a lawyer doing something similar, reviewing hundreds of pages of contracts, checking regulations, and searching through years of case material. Google thinks Gemini can help with all of it.
Imagine hiring a new customer support agent. Instead of weeks of training, manuals, and shadowing senior staff, the AI simply listens to thousands of your company's best customer conversations. It learns what your top performers say. It learns when they crack a joke. It learns which responses close deals, calm frustrated customers, and build lasting relationships.
For years, cybersecurity was mostly about protecting people. Employees. Customers. IT administrators. But the AI era has introduced a completely different challenge. What happens when the "user" is not a person at all? Imagine hundreds or even thousands of AI agents working inside a company. Some answer customer questions. Others write code, process invoices, approve expenses, analyze sensitive data, or access internal systems without human intervention.
The AI boom has been powered by one thing most people rarely think about: Electricity. Every ChatGPT conversation, AI image, video generator, coding assistant, and enterprise AI model runs inside enormous data centers packed with thousands of high-performance chips. Those facilities consume staggering amounts of power. Now, America's largest electricity grid operator has admitted something that would have sounded unimaginable just a few years ago
What if buying AI for your company looked less like subscribing to software and more like hiring an elite engineering team? That is exactly the direction OpenAI is taking. For years, businesses have used OpenAI by signing up online, grabbing an API key, and building their own AI applications. But now, the company is changing the rules. Instead of simply selling AI models, OpenAI is offering something much bigger
For the longest time, OpenAI has been the name everyone associates with the AI boom. From ChatGPT taking over conversations to partnerships with giants like Microsoft, it felt like no one was even close. But now? There’s a plot twist.
There’s a pattern in today’s AI boom: big promises, flashy demos, and tools that feel… familiar. But somewhere in Lagos, a startup is taking a very different path. Grace AI Lab isn’t trying to be the loudest voice in the room. Instead, it’s focused on building something far more ambitious: autonomous digital workers. AI systems that don’t just respond to prompts but can actually carry out complex tasks, make decisions, and deliver real outcomes with minimal supervision.
In one of the most jaw-dropping moves in tech history, Anthropic, the company behind the Claude AI models, has raised a staggering $30 billion in a Series G funding round and, with it, cemented a $380 billion valuation. Yes, thirty billion with a "B", at a valuation that pushes Anthropic into the rarefied air next to the world’s largest privately held tech companies.
On Monday, something unusual happened. Just… one blog post. And by the end of the trading day, shares of IBM had plunged 13.2%, their steepest single-day drop since October 18, 2000. What triggered it?
When most people think about AI in big companies, they picture chatbots drafting emails, summarising meetings, or answering internal questions. That’s not where PepsiCo is placing its bets. Instead, the global food and beverage giant is quietly using AI in one of the hardest places possible: its factories.
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