AI Wrote the Code. AI Reviewed the Code. AI Deployed the Code. At What Point Does a Human See It?
The software development lifecycle is quietly being rewritten The conversation around AI in software engineering has evolved rapidly over the past two years. What started with AI-assisted code generation has expanded into something much larger. Today, AI is capable of reviewing pull requests, writing automated tests, identifying security vulnerabilities, generating documentation, suggesting architectural improvements, and […]
Big Tech is spending $725 billion on AI this year. Nobody’s Asking What Happens if it Doesn’t Work.
There’s a number floating around boardrooms right now that makes even seasoned CFOs pause. $725 billion. That’s how much Amazon, Microsoft, Google, and Meta are collectively planning to spend on AI this year alone. Not over a decade. Not cumulatively since 2020. This year. Up 77% from last year’s record $410 billion. To put that […]
Why Feature-Rich Products Still Fail Users
Some of the most advanced products in the world fail quietly. Not because they lack innovation, not because they lack investment, and definitely not because they lack features. They fail because somewhere along the way, they stopped solving real human problems and started showcasing capabilities instead. More features do not automatically create more value. In […]
The Most Dangerous Phase of Any AI Project? The First 14 Days
Most AI projects don’t collapse because the technology fails. They stumble because of what happens before the technology has a chance to prove itself. The first two weeks of an AI initiative are often treated as a warm-up phase planning, onboarding, early experimentation. In reality, these 14 days quietly decide whether the project will move […]