Resources · Our stance on AI
Our stance on AI
20 in-depth articles on what AI actually changes in IT recruitment and organisation — no storytelling, with the data available and its limits. Two readings depending on your context: IT services and consulting firms, or scale-ups and startups.
Two audiences, two readings
Choose your world
Category · 11 articles
IT services & consulting firms
Pricing, contract models, augmented delivery, roles and trust governance — 11 positions on what AI actually changes for IT services firms.
Category · 9 articles
Scale-ups & Startups
Organisation, management, the junior career path, and real-world case studies — 9 positions on how AI is reshaping product and tech teams.
ESN · Article 1 Is the day rate doomed? What AI really changes about selling IT services Time-and-materials doesn't disappear, but it stops being proof enough of value ESN · Article 2 After time-and-materials: four models for selling capacity, a service or a result What comes after time-and-materials isn't outcome-based pricing. It's a portfolio of contract models ESN · Article 3 The agentic service centre: speeding up delivery without industrialising debt A service centre becomes agentic when the whole chain becomes measurable and controllable — not when the share of AI-generated code becomes spectacular ESN · Article 4 Augmented application maintenance: from tickets closed to application health Maintenance that's genuinely effective ends up with fewer tickets to bill — which is exactly where the business model has to change ESN · Article 5 From slide deck to living system: what consulting now has to leave behind at the client The right deliverable isn't necessarily a piece of software. It's a lasting capability ESN · Article 6 The IT-services pyramid under pressure: what happens to juniors, seniors and middle management? AI breaks the mechanism that let production implicitly fund learning ESN · Article 7 Developer, project manager, recruiter, business manager: four roles to reinvent now This isn't a catalogue of future jobs — it's a map of what's becoming less scarce, and what's gaining value ESN · Article 8 Buying and selling IT services in the age of AI: the new brief The contract has to explicitly split productivity, risk and accountability ESN · Article 9 OpenAI, hyperscalers and SaaS: where do IT services firms genuinely risk disintermediation? The competition is shifting to control of the workflow, the context, the data and the operational relationship ESN · Article 10 Agents, code, data, assets: how to build a contract of trust A good contract of trust is less about ownership than about an architecture of control ESN · Article 11 IT services in 2028: five decisions to avoid becoming a commodity An IT services firm won't protect itself by becoming an AI lab. It will protect itself by becoming hard to replace Scale-up - Startup · Article 1 Organisation and AI: there is no ideal model — only the right diagnosis Six operating models keep recurring in organisations that take AI seriously. None is superior to the others: each answers a specific bottleneck, and confusing them is expensive. Scale-up - Startup · Article 2 AI copilots: why the tool doesn't transform the organisation What separates a company that's equipped from one that's genuinely transformed Scale-up - Startup · Article 3 Can AI let you grow without hiring? What the case studies prove, and what they don't Between promise and reality: what companies that actually tested the question show Scale-up - Startup · Article 4 From producer to supervisor: how AI reshapes roles once it absorbs the standard work What supervision actually involves — and why the answer changes by role Scale-up - Startup · Article 5 Smaller teams, wider roles: how far can Product, Design, Data and Engineering blend? What the case studies show about how porous roles can get — and where that stops Scale-up - Startup · Article 6 When AI handles the simple, humans inherit the hard: organising exceptions without wearing teams out The right metric isn't the automation rate — it's the quality of the system that handles what it can't do Scale-up - Startup · Article 7 Managing humans and agents: who decides, who checks, who's accountable? In the age of agents, management becomes an architecture of authority Scale-up - Startup · Article 8 What happens to the junior when AI does the tasks that used to train seniors? The risk isn't just the disappearance of entry-level tasks — it's the disappearance of the path they made possible Scale-up - Startup · Article 9 Alan, PayFit, Klarna, Doctolib: four AI transformations, four misreadings to avoid What each case actually proves, and what gets wrongly read into it
Want to talk it through with Dryve?
These positions shape the way we approach IT recruitment in the age of AI. Let's talk about your context.