Insights, methods and case studies on AI in business
Artificial intelligence has created a new unit of measurement: the token. Invisible and still unknown to most business leaders, it structures a multi-billion market and determines the real cost of AI in business. Understanding tokens means understanding what AI will actually cost — and how to control that budget.
Forms, dropdown menus, required fields: your software was designed for one user — the human. But AI changes the game. Software that doesn't open up to AI agents becomes a productivity bottleneck. Why your current stack risks obsolescence, and how to prepare.
SMEs use an average of 5 AI tools in their operations. For the first time, artificial intelligence gives smaller companies access to capabilities once reserved for large corporations: data analysis, personalization at scale, intelligent automation. The technology gap is closing — if you know where to start.
75% of knowledge workers already use AI at work — often without management knowing. The AI-augmented employee doesn't replace the team: they multiply its impact. What this changes for productivity, work organization and management in SMEs.
More and more users ask questions directly to AI rather than going through Google. This behavior shift transforms business visibility online. If your visibility strategy relies solely on traditional SEO, you risk becoming invisible to a growing share of your prospects.
In three years, Chegg went from $14 billion to less than $200 million in valuation. A profitable company, market leader, with a solid subscription model — swept away by ChatGPT. This case is a wake-up call for all business leaders: no competitive advantage is safe from AI disruption.