Why ChatGPT-5 enables human intelligence and performance

Since 2018, I’ve been closely following Sam Altman’s pursuit of Artificial General Intelligence (AGI) - a system capable of independent reasoning and replicating human cognition.

While today’s ‘Narrow AI’ model is still reliant on fixed datasets, what strikes me is how quickly human and machine capabilities are forming a ‘hybrid-intelligence’.

That’s why with every leap in OpenAI’s development, I see two clear opportunities to rethink workforce strategies and unlock more human potential:

1. Reimagining talent pipelines: Junior roles will evolve for the better, creating new ways to develop your future leaders.
2. Strengthening cognitive resilience: Human expertise becomes even more valuable when paired with AI tools.

By consciously developing the skills and talent we need for technologies, leadership teams can build a hybrid-intelligent workforce that is AI–capable, analytical and more engaged.

AI allows us to develop junior talent - faster 

Between 2024 and 2025, hiring for entry-level roles in European tech firms dropped by 73.4%. To me, it’s a clear signal that automation is putting real pressure on career-entry roles and the traditional pathways for developing future leaders.

While this shift could fracture talent pipelines, it also presents an opportunity: organizations can redesign junior roles to focus on learning, mentorship, and strategic contributions, in effect accelerating the development of your future senior talent.

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Here is where I think managers have a critical role to play - not as process overseers, but as coaches who mentor junior talent and build their capabilities in an AI-rich environment. So by pairing AI tools with intentional talent development, organizations can strengthen pipelines and start building their future leadership teams - much faster.

Elevating human cognitive skills with AI

MIT’s latest research has captured my attention: when algorithms interpret, decide, and problem-solve on our behalf, people’s analytical and creative capacities drop by 47%.

That can understandably be seen as a risk. As AI entrepreneurs push for AGI, cognitive erosion is emerging as a danger, but also an opportunity to expand human capabilities and focus on sharpening higher-order thinking and creativity.

Especially amongst ‘knowledge workers’ - sales, computer science, and finance - AI copilots are widely used for routine information gathering, writing, and communication. These tasks are exactly the areas where humans can now shift to deeper analytical reasoning, strategic thinking, and innovation - using AI to amplify, not replace, our intelligence. 

A commitment to developing human intelligence 

Resilience in the age of AI is not endurance. Unlike the demands of Covid-19, which required us to withstand economic shocks, today’s challenge is the inverse: using new technologies to amplify human development and performance.

HR and business leaders now have the opportunity to improve entry-level roles and deepen the cognitive skills that make AI’s outputs truly meaningful. By doing so, we can cultivate a talent generation not only proficient in operating AI, but also capable of thinking creatively and strategically beyond it.

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Our responsibility as leaders is not about choosing between technology or people. It’s about building new forms of hybrid intelligence that neither could achieve alone.

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A commitment to human potential and resilience 

Resilience in the age of AI is not endurance. Unlike the demands of Covid-19, which required us to withstand economic shocks, today’s challenge is the inverse: using new technologies to amplify human development and performance.

HR and business leaders now have the opportunity to improve entry-level roles and deepen the cognitive skills that make AI’s outputs truly meaningful. By doing so, we can cultivate a talent generation not only proficient in operating AI, but also capable of thinking creatively and strategically beyond it.

Our responsibility as leaders is not about choosing between technology or people. It’s about building new forms of hybrid intelligence that neither could achieve alone.

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