In Nigeria, recruitment, learning and development (L&Do) emerged as the sector with the highest level of Artificial intelligence (AI) adoption.
These are among the findings of a talent management report by Philips Consulting, based on insights from 512 professionals across nine sectors, including professional services, oil and gas, healthcare and education.
The report finds that while AI is increasingly deployed in recruitment and learning, adoption remains slow in performance management. Employers cite limited investment, data-privacy concerns and capability gaps as key obstacles.
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Speaking on a TV interview, Tracy Afolabi-Johnson, senior consultant at Philips Consulting, said the research was designed to move beyond headline fears and examine how AI is actually being used in Nigeria’s workplaces.
The report attributes this to the sector’s reliance on knowledge intensity, speed and human capital.
“We use AI to screen candidates and accelerate hiring timelines. In learning, knowledge must be accessible and current because we are selling expertise. AI supports that.”
“People do not really see AI as a risk per se. They see it as an opportunity they can leverage to drive sustainability within their organisations. AI helps remove routine tasks and allows people to focus on the strategic parts of the business. It does not weaken thinking; it sharpens it,” Johnson said.”
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That perspective challenges the popular narrative of AI as an existential threat to jobs. Instead, the report suggests a redistribution of work rather than wholesale displacement.
How AI is reshaping the recruitment landscape
HR University released a comprehensive guide detailing how Artificial Intelligence (AI) is fundamentally reshaping the recruitment landscape.
It suggests that Large Language Models (LLMs) are no longer just “trendy tools” but are now essential for transitioning HR professionals from administrative burdens to strategic talent acquisition.
The shift to strategic sourcing
The guide emphasises that the journey to a successful hire now begins with AI-driven market mapping. Recruiters can now move beyond generic job postings by using AI to identify localised insights.
The report noted that instead of relying on broad “top-level” ideas like social media, recruiters are now “drilling down” into granular data.
By asking AI for specific niche conferences, HR teams can pinpoint exactly where their target talent resides.
Benchmarking with precision
One of the most impactful revelations in the guide is AI’s ability to provide immediate market intelligence. HR University showcased how recruiters can generate preliminary compensation benchmarks in seconds.
”AI can provide immediate, though preliminary, data on market competitiveness,” the guide states, citing examples where entry-level Python developers might range from $80,000 to $100,000. However, the university issued a strong cautionary note, adding that professionals must “always verify AI-generated data with primary sources like Salary.com or internal company documentation.”
Automating the “Groundwork”
Beyond data gathering, the guide highlights the rise of automated content creation. Through personalised job descriptions that reflect a company’s specific tech stack, such as Google Cloud products, AI is helping bridge the gap between HR and engineering departments.
The report also detailed how AI can draft “high-intent emails” for university outreach. AI is often capable of anticipating the “touchpoints” of a partnership, such as career fairs and job postings, without being explicitly prompted to do so.
The human element remains
Despite the technological leap, the core message of the HR University guide remains grounded in human oversight. The report concludes that while “specificity is king” when prompting AI, the recruiter remains the ultimate gatekeeper.
”AI is a powerful assistant,” the guides say, “but the HR professional must remain the final editor to ensure accuracy and cultural fit.”
