Why agentic AI is reinventing recruiting

In June 2025, McKinsey released the new CEO Playbook Seizing the Agentic AI Advantage. The report confirms what many of us have long been observing in practice: Generative AI is widely used, but so far it has barely had any noticeable impact on company performance.

McKinsey calls that Gen-AI paradox: Almost 80% of companies are already using AI, but a similar number report that they see no measurable effect on their results.

The reason is simple. To date, most companies have relied on horizontal use cases — chatbots, copilots, text summaries. These are easy to introduce, but only provide diffuse, superficial benefits. Real impact comes from vertical use cases — i.e. AI that is deeply embedded in a company's core processes. That's where agents come in.

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The change: From assistants to agents

As McKinsey describes, real added value is only created when processes are automated end-to-end. Agents differ from simple co-pilots because they:

• Understanding goals and breaking them down into subtasks
• Interact with people and systems
• Execute workflows independently
• Adapt in real time as conditions change

This is not just an increase in efficiency — it is a transformation of the way we work.

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Recruiting as a prime example

At Paul's Job, we experience this every day. Recruiting is one of the most complex communicative processes in any organization. A single setting includes:

• Candidates who submit documents, answer questions, coordinate appointments
• Recruiters who pre-check, check documents, clarify availabilities
• Hiring managers who make decisions
• Assistants or coordinators who manage calendars and processes

If this process is run manually, it consumes enormous time and management capacity. In industries such as nursing, facility management or retail — where service performance depends directly on sufficient personnel — this has serious consequences:

• Vacancies remain vacant.
• Companies can serve fewer customers or patients.
• Competitors win candidates simply because they are faster.

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What happens when you automate recruiting

Now let's imagine an end-to-end recruiting agent. Candidates apply directly via WhatsApp or SMS. Paul, the AI agent, guides them through the process:

• Collects documents (driver's license, language certificates, work permits)
• Checks requirements (language level via voice message, availability, certificates)
• Automatically coordinates interviews with hiring managers
• Prepare contracts as soon as all criteria are met

The result: From initial contact to a signed contract in less than 60 minutes.

This is not a chatbot that is docked to old processes. This is a process that has been rethought from the ground up around agents — exactly the vertical deployment that McKinsey identifies as the missing piece of the puzzle of today's AI strategies.

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Why this is particularly important for service industries

In labor-intensive companies, faster recruiting is not just an HR indicator — it directly determines performance:

• Care services with more nurses can serve more patients.
• Retailers and logisticians can staff branches and warehouses more reliably.
• Security and facility firms can fulfill contracts on time, without expensive delays.

Recruiting speed is a strategic competitive advantage, especially in times of skill and labor shortages.

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The bigger lesson for CEOs

The McKinsey playbook concludes with a clear message: The experimental phase is over. CEOs must have the courage to fundamentally rethink processes with agents. That means:

• Embed agents into core workflows, not just as an add-on
• Redesign processes to utilize the strengths of agents — parallel operations, real-time customization, scalability
• Create governance to ensure trust, security, and acceptance

Recruiting shows what that can look like: From weeks of communication to hiring in less than an hour. It's not a gimmick, it's process innovation.

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conclusion

The Gen AI paradox cannot be solved with additional co-pilots or chatbots. The solution is when companies select a few, highly relevant processes, redesign them end-to-end — and let agents take over.

Recruiting is an excellent example. Anyone who automates here not only gains efficiency, but also real competitiveness. That is the real strength of Agentic AI.

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