Archive

Everyone is shipping agents. Almost nobody has figured out identity, access, or audit trails. That gap is about to get very expensive.

The headline says adoption is surging. The reality is most of those agents are sitting on the shelf doing nothing special.

OpenAI shut down Sora, killed the Disney deal, and the internet called it a failure. It's the opposite. It's what discipline looks like.

Only 7% of enterprises say their data is ready for AI. The other 93% are buying anyway. This is how you build expensive failures.

The Research Triangle is quietly becoming one of the most important AI corridors in the country. Not because of billion-dollar funding rounds or celebrity founders. Because of the fundamentals.

Anthropic shipped computer use for Claude on macOS. This is the moment AI moves from assistant to employee.

Developers are arguing about Rust vs. Go vs. Python like it's 2019. Meanwhile, 41% of all code is now written by AI. The real question isn't which language wins. It's how humans and machines collaborate on the code itself.

You can build something great with AI and still watch it stall. Not because the product is wrong, but because the process around it never changed.

The fear is real. The data backs it up. But the actual catastrophe isn't the technology. It's the leadership vacuum around it.

Anthropic drew two red lines with the Pentagon. The DOD tried to make them radioactive for it. Google filled the void the next day. The AI industry just split into two camps.

Both are powerful. Both give AI deep access to your digital life. One has 40,000 vulnerabilities. The other costs $200 a month. The real question is whether your organization is ready for either.

The AI landscape is shifting fast. If 2025 was the year of experimentation, 2026 is shaping up to be the year of execution — where hype meets hard reality, and the winners are the teams that can actually ship.

When AI stops being something you talk to and becomes something that works for you, every assumption about delegation changes. I'm setting one up today.

Both are right. And the gap between them is where most organizations are failing. The difference between investment and expense is whether you can name what AI actually solves for your business.

Stanford's latest data confirms what most leaders aren't willing to say out loud. Entry-level developer hiring is down 20%. The pipeline that was supposed to become your senior engineers is disappearing.

Anthropic's new research measures the gap between AI capability and actual adoption. The findings are nuanced — no mass displacement yet, but hiring for younger workers in AI-exposed fields has dropped 14%.

Cognizant's study of 600 AI decision-makers confirms what practitioners have seen firsthand: off-the-shelf AI doesn't work. Custom wins. Implementation is the real competitive advantage.

NVIDIA's 2026 State of AI report shows 88% of enterprises seeing AI-driven revenue gains. Agentic AI is going mainstream. Here's what the data actually says — and what it means for mid-market companies.

OpenAI, Alibaba, Meta, and others released twelve major AI models in a single week. The model race is fascinating — but the deployment race is where the money is.

Google expanded AI Mode across Search, letting users draft documents and generate code directly in the search bar. Meanwhile, Criteo became the first ad-tech company inside ChatGPT. The era of SEO is giving way to GEO.

AI is making us dramatically more efficient at solving problems. But efficiency was never the point. The point is what we do with the time and capacity we get back.

Autonomous AI agents are now planning features, writing code, running tests, and shipping pull requests with minimal human involvement. Here's what business leaders need to do about it.

At Ergon Insights, we don't sell AI. We build operational advantage. These four principles are not marketing language. They are how we work.

The open-source AI agent with 215,000 GitHub stars can execute shell commands, manage files, and take autonomous action across your digital life. Here's what every business leader needs to know about the security risks.

Most organizations think they're "doing AI" because developers use Copilot. That's the starting line, not the finish. The real shift is from AI-assisted development to AI-first product development — and the gap is wider than most leaders realize.

Everyone wants the AI agent. Nobody wants to talk about DNS, backups, and hosting. Here's why boring infrastructure is the prerequisite for everything that comes after.

The most honest thing a new business owner can say. Here's why that sentence is actually the starting point for building something that lasts.

Missing calls are a compounding revenue leak. Here's the real cost and what businesses can do to answer every call.

The companies that win aren't the ones with the most features. They're the ones whose systems actually work every single time.

AI could be the best thing that's ever happened to regions like Northeast Tennessee, if we move first.

One week into building full-time. Here's what survived the transition and what didn't.

What Ergon Really Means — And Why It Drives Everything We Do

Why Saying No Is the Most Important Growth Decision You'll Make

Why We Don't Rely on Heroics — And Neither Should You