AI content creation is the use of generative models to produce written, visual, or video content, and the honest summary of where it stands is this: the tools work, the average output does not, and the gap between those two facts is where the entire opportunity sits. Google does not penalise content for being AI-assisted….
AI marketing is the use of AI systems to do the work of marketing: researching a market, deciding who to talk to, producing the content, personalising the message, and measuring what any of it did. That definition is deliberately broad, because the interesting question is no longer which tasks AI can do. It is why…
AI for SEO in 2026 means two things at once: using AI to produce and optimise content, and optimising that content to be found by AI. Search no longer runs on one track. The traditional results page with its ranked links still exists, but it is increasingly overlaid with AI-generated answers, and a growing share…
AI for finance is the use of machine learning and generative AI to do three things in the finance function: automate the manual work, analyze data faster than a person can, and improve the quality of forecasts and decisions. In practice that runs from the unglamorous, invoice matching, reconciliations, expense processing, up to the strategic,…
Cold email still works for B2B services, but almost everything that used to make it work no longer does. It remains one of the most cost-effective ways to start a sales conversation with a decision-maker, with a return on investment often estimated around 42 to 1, because it reaches the right person directly instead of…
Switching costs are what it takes to move off a vendor: the money, the engineering, the retraining, and the disruption you would absorb to replace one AI system with another. They matter more than almost any other number in an AI contract, because switching costs are the actual mechanism of vendor lock-in. A vendor rarely…
AI governance is the set of standards, controls, and accountability that determine how a company uses AI: which systems are in use, what data they touch, who is responsible for them, how their decisions can be audited, and what rules they must follow. It is the difference between a company that can answer “how was…
Build versus buy is the question every company asks when it gets serious about AI: do we build our own system, or buy an off-the-shelf tool? It is a reasonable question, and taken as a strict either-or, it is the wrong one. Almost no company should build everything, and almost none should buy everything. The…
Choosing an AI consulting firm in 2026 is harder than choosing almost any other kind of professional partner, because the market is young, crowded, and inconsistent. Thousands of firms now advertise AI transformation expertise, and a large share of them pivoted into it recently, from general IT, ERP implementation, or process consulting, as late as…
A Head of AI decides what AI the company builds and buys, kills the parts that do not work, and owns how AI is used across the business. What they do not do, mostly, is build the AI themselves. That single distinction clears up most of the confusion about the role, because the title makes…