Artificial intelligence

Artificial intelligence

Frontends are no longer written only for humans. AI tools now actively work inside our codebases. They generate components, suggest refactors, and extend functionality through agents embedded in IDEs like Cursor and Antigravity. These tools aren't just assistants. They participate in development, and they amplify whatever your architecture already gets right or wrong. When boundaries are unclear, AI introduces inconsistencies that compound over time, turning small flaws into brittle systems with real maintenance costs.

Strong quarterly reports earlier in 2025 (despite a tax charge) had lent credence to the claim that Meta would continue to outshine its competitors over the coming year. The share price hit an all-time high of $796.25 back in August. The stock is still trying to recover from the pullback in November, and it is now up 3.6% year over year, underperforming the broader market. Furthermore, the near-term future of the economy is uncertain-just like the markets themselves-and Meta Platforms CEO Mark Zuckerberg is a controversial figure. Certainly, Zuckerberg's sudden shift to the metaverse and brand name change to Meta Platforms raised a few eyebrows several years ago.

"The Universal Commerce Protocol (UCP) is an open standard designed for the future of commerce, empowering you to turn AI interactions into instant sales. Adopt UCP to enable agentic actions on Google AI Mode and Gemini, starting with direct buying," as Google defines it. It basically gives merchants a way to allow their products to be sold directly through AI experiences like Gemini, AI Mode and other AI engines.

You should be looking for butterflies-not faster caterpillars. The definition of transformation is exactly that-caterpillars becoming butterflies. Otherwise, you are not recognizing AI's potential. As with the internet, it's a once-in-a-generation opportunity to reimagine how you do business. When it comes to implementation, there will always be a certain amount of experimentation, but many experiments fail because people think of AI as one monolithic thing. You need to break it into two steps.

It's about replacing entire layers of business process management with intelligent systems that route work, make recommendations, and execute decisions autonomously. PEGA builds workflow automation and CRM software specifically designed for this transformation. The company generates $1.73 billion in trailing revenue with a 16.1% profit margin, focusing on AI-driven customer engagement and process automation. Recent quarters show dramatic profitability improvement, with Q1 2025 delivering $85.4 million in net income after the company posted losses in 2022.

In what appears to be a case of diplomatic mind games in action, one day after the US government issued a regulation clearing the way for Nvidia to sell its H200 artificial intelligence processors to Chinese companies on a case-by-case basis, a published report has revealed Chinese custom officers have been told not to let them into the country. The ruling announced Monday by the US commerce department's Bureau of Industry and Security (BIS),

Google's testimony to U.K. lawmakers this week did more than restate familiar arguments about fair use and training. It clarified the boundaries of what the company believes it should, and should not, pay publishers for in the AI-driven search ecosystem. For publishers trying to navigate AI licensing, the message was blunt: Google is willing to pay for access, but not for training - and it remains unwilling to define AI Overviews as a compensable use of journalism.

There are numerous ways to bet on AI (artificial intelligence). But two paths are particularly intriguing: the AI technology suppliers and the beneficiaries of AI at scale. In other words, you can buy the company selling the "picks and shovels," or the chips and systems powering AI. Or, alternatively, you can invest in a company that integrates AI into existing products, services, and infrastructure used by billions of people.

And what he said is deceptive at best because while maybe there weren't actual nude images, it was pretty close to it, and the images that I saw not only of myself, but of I don't even know whose children who were undressing and covered in various fluids, the abuse was so widespread and so horrific, and it's still allowed to happen. They just released restrictions that are based on where it's illegal.

Consumers have grown so weary of AI-generated content and straight-up slop, they're taking extra time to find work made by real people. And some brands are going even further. Instead of airbrushing flaws, they're celebrating them - even going so far as to seek out imperfections in the influencer marketing deals they're planning. The dirty countertop or overflowing garbage can in the background is no longer grounds for a reshoot; it's a way to let viewers know that what they're watching is, well, real.

Expect this year to be filled with flux and uncertainty, thanks to lightning-fast changes wrought by AI, and by a Trump Administration that rules by whim and fiat rather than facts and law. So, I know it's something of a fool's game to make predictions about what the year ahead might bring for Microsoft. That said, I've never worried about being called a fool. So here are my five predictions for what Microsoft can expect in 2026.

A year-and-a-half ago, management consulting firm McKinsey had just 3,000 AI agents in its possession, with its 40,000 employees far outnumbering its agentic fleet. But in just 18 months, that number has grown more than 500% to about 20,000 AI agents supporting the company's work, CEO Bob Sternfels said on Harvard Business Review's Ideacast. Now, the company is evaluating how well job candidates can work with its AI tool as part of the interview process.

If you want to win in AI - and I mean win in the biggest, most lucrative, most shape-the-world-in-your-image kind of way - you have to do a bunch of hard things simultaneously. You need to have a model that is unquestionably one of the best on the market. You need the nearly infinite resources required to continue to improve that mode and deploy it at massive scale.