Management

  • Why Agentic Projects Fail

    Why Agentic Projects Fail

    Almost everything written about agentic AI is a showroom: the demo that dazzled, the workflow that now runs itself. This article is the morgue. Because the most useful thing you can study before building an agentic system isn’t the success stories — it’s the autopsies. And there are a lot of bodies. The headline number is Gartner’s, from June 2025: over 40% of agentic AI projects will be cancelled by the end of 2027 — not scaled back, not pivoted, cancelled — citing escalating costs, unclear business value, and inadequate risk controls. It’s not a speculative warning; Gartner frames it… Go to Post

  • How Can AI Help My Business?

    How Can AI Help My Business?

    If you run a small business and you’ve been wondering whether this whole AI thing is for you, here’s the honest state of play in 2026: most of your peers have already started. Depending on which survey you read, somewhere between 82% and 89% of small businesses now use AI in some form — up from roughly a third just three years ago. The U.S. Chamber of Commerce found small firms adopting AI faster than large companies for the first time in the data’s history. But that headline hides the part that should reassure you. When researchers look at who’s… Go to Post

  • The Senior Developer Bar in 2026

    The Senior Developer Bar in 2026

    A lot of my posts are about how to build with AI — agents, orchestration, the Microsoft stack, the protocols. This series steps up a level and asks a harder question aimed squarely at senior and lead developers: in mid-2026, what actually makes you valuable? Because the answer has moved, and a lot of people haven’t noticed. The bar is no longer “I integrated an LLM” Two years ago, wiring an LLM into a product was a differentiator. You could stand up in a review, show a feature that called a model, and that was the value. In mid-2026 that’s… Go to Post

  • CLI Agents vs AI-Native IDEs: The Token Economics

    CLI Agents vs AI-Native IDEs: The Token Economics

    Here is the benchmark that’s been driving architecture decisions across the industry in 2026: a typical CLI command costs an agent around 200 tokens. The equivalent operation through an MCP server costs 32,000 to 82,000 tokens. That’s not a typo, and it’s not cherry-picked. Independent benchmarks from Scalekit, Apideck, and others keep landing in the same range — roughly a 35× overhead for MCP on identical tasks. When “MCP is dead. Long live the CLI” hit the top of Hacker News and Perplexity’s CTO publicly described moving away from MCP internally over context waste, they were all pointing at the… Go to Post

  • The Rise of the Chief AI Officer: Why Every Company Needs a Leader for the AI Revolution

    The Rise of the Chief AI Officer: Why Every Company Needs a Leader for the AI Revolution

    In the ever-evolving landscape of modern business, one thing has become abundantly clear: artificial intelligence (AI) is no longer a futuristic concept or a niche tool reserved for tech giants. It is here, it is transformative, and it is reshaping industries at an unprecedented pace. From automating mundane tasks to unlocking insights from vast troves of data, AI is proving to be a game-changer. But with great power comes great responsibility—and complexity. This is where the role of the Chief AI Officer (CAIO) emerges as not just a luxury, but a necessity for any forward-thinking organisation. What is a Chief… Go to Post