Practical AI for Real Businesses

AI Strategy

Every Major AI Vendor Shipped an Agent Platform This Week. Only 11% of Businesses Are Actually Running Agents. The Gap Is the Story.

The first week of July 2026 delivered agent platforms from Anthropic, Google, Microsoft, Nvidia, and AWS — all within seven days. Deloitte's 2026 Tech Trends report, published the same week, put enterprise agentic AI production adoption at 11%. The problem was never the platform. It was never going to be the platform.

Jul 6, 2026 Read more ›

AI Strategy

The Rollback Crisis: 79% of Businesses Have Had to Undo Something an AI Agent Did. Here's What Went Wrong.

Kore.ai's June 2026 Agent Productivity Index landed with a number nobody in the industry wanted to see: 79% of enterprises with production AI agents have already had to manually reverse an action the agent took. Ninety-three percent said the reversal was costly and disruptive. This is not a model problem. It's a design problem.

Jul 5, 2026 Read more ›

AI Strategy

The AI Agent Scale Gap: Why Half of Businesses Have Agents in Production and Almost None of Them Can Scale

The numbers just landed for mid-2026. Fifty-four percent of organizations run AI agents in production. Gartner projects 40% of those projects will be canceled by 2027. The gap between those two facts is where every real business decision about AI now lives.

Jul 4, 2026 Read more ›

AI Strategy

The June AI Blackout: What Small Businesses Should Learn About Model Lock-In

On June 12, 2026, the most capable AI model on the market vanished for every customer, worldwide, with no warning. New VentureBeat Pulse data shows two-thirds of enterprises had already hedged. The third that hadn't is now scrambling. Here's what that means for small businesses running AI in production.

Jul 3, 2026 Read more ›

AI Strategy

AI Coworker vs AI Tool: What's the Actual Difference?

Most businesses are using AI as a tool when they should be hiring it as a coworker. The difference is structural, not cosmetic — and it's why AI is making your team faster but not bigger.

May 8, 2026 Read more ›

AI Strategy

Why 95% of Businesses See No ROI From AI (It's Not the Model)

MIT's 2025 study of 300 enterprise AI deployments found that 95% delivered no measurable impact on the P&L. The models work fine. The deployments are missing the layer that translates organizational intent into agent behavior — and that gap is fixable.

May 8, 2026 Read more ›

AI Strategy

Why More Than Half of Businesses Can't Scale AI Past the First Agent

More than half of businesses are stuck trying to scale AI agents past the pilot stage. The Infor Enterprise AI Adoption Impact Index put hard numbers on it last week. Here's what the data actually reveals about the gap — and why it has nothing to do with model quality.

Apr 23, 2026 Read more ›

AI Strategy

The Business Operating System: Why Your AI Agents Need an Operating Layer, Not Just a Runtime

Google Cloud Next 2026 unveiled what it calls an 'Agentic Enterprise' platform. It's a better runtime. That's not the same as an operating layer for your business — and the difference determines whether your agents scale or quietly accumulate into a fleet you can't manage.

Apr 23, 2026 Read more ›

AI Operations

What 'Agentic Memory' Actually Means for Your Business

LinkedIn just shipped a Cognitive Memory Agent that retains and reuses knowledge across sessions. That's a landmark for AI systems — and a reminder that most businesses haven't thought through what their agents are actually remembering, who can see it, and what happens when the agent is turned off.

Apr 20, 2026 Read more ›

AI Infrastructure

Why Your AI Agent Keeps Forgetting Everything (And What Durable Memory Actually Requires)

AI agents are entering production at scale. The problem is not capability — it is memory. Context windows are not memory. Retrieval is not recall. And most agent deployments are about to hit the wall where the agent cannot remember what it learned about your business ten minutes ago.

Apr 17, 2026 Read more ›

AI Strategy

AI Agents for Permitting Businesses: What to Automate First (And What to Keep Human)

A practical sequencing guide for permitting companies deploying AI agents. Stop asking 'what can we automate?' Start asking 'what should we automate first?' The answer changes everything about how your deployment performs.

Apr 17, 2026 Read more ›

AI Infrastructure

Smarter AI Models Make the Case for Better Agent Infrastructure, Not Less

Anthropic's Claude Opus 4.7 shipped this week with major gains in agent task execution and long-horizon planning. That's good news for businesses running agent systems — and a warning about what happens when a significantly more capable model runs on infrastructure that wasn't designed for it.

Apr 17, 2026 Read more ›