There won't be a person available for every job, but for every person in the world, there will be a job that needs to be done.

This vision encapsulates the future of talent in a world powered by artificial intelligence platforms (AIPs). I aim to catalyze this future through the promotion and widespread adoption of AI's ubiquitous availability – "AI-UI" for short.

AI-UI represents the driving force behind the mass adoption, implementation, and deployment of Generative AI and Large Language Models (LLMs). This shift will revolutionize talent programming norms, attraction strategies, and legacy corporate hiring practices.

AI is ushering in tectonic changes to the metaphysical and ontological interpretations of talent—what it means to identify, possess, and hire for it. This includes both objective and subjective assessments of skill and the deployment of artificial neural networks (ANNs) to address decades of missing features in binary and analog recruiting systems.

AI's role extends to systematically dismantling human biases embedded in talent-sourcing algorithms, subjective interviewing techniques, and opaque hiring decisions. It bridges the gap between Acquirers and Suppliers of human capital, creating more excellent value, transparency, and autonomy units.

The future merger of AI and Talent is not a distant prospect – it's unfolding now. Its strategic economic value for billions is particularly evident in fundamental areas like jobs, labor, hiring, skills evaluation, competency assessment, equity preference, screening, recruiting, and individual talent development.

As our servant, AI becomes a weapon of peace, liberating us from the "war for talent" and dismantling counterproductive scarcity mindsets. It rebuilds the hr-tech ecosystem from the ground up, eliminating the commodification of individuals, emphasizing unique niches, translating knowledge into tangible skills, and facilitating the creation of 'natively select diversity sets.'

The future challenge lies not in addressing talent shortage but in managing talent abundance. This paradigm shift encompasses job, hiring, skills, and career abundance. Navigating this new landscape for society confidently becomes one of the most significant and privileged problems to solve with AI.

AI's role in disrupting current recruitment norms will create exponentially more value, ROI, and data within Human/Job capability systems. It will open new pathways to Web3, where every job might not have a person, but every person will have a job that needs doing.

AI, by creating self-perpetuating talent landscapes and loops, has the potential to break free from perceived talent scarcity and 'top-talent wars', creating a more equitable talent landscape and a hopeful future for talent management.

AI, while not directly closing the skills gap, will invent new skills and jobs, easing tight labor markets and triggering a quintessential innovator's dilemma in the industry. This exciting prospect of new opportunities is what AI brings to the table.

This AI-driven transformation promises a future where talent is abundant, opportunities are plentiful, and the connection between individuals and meaningful work is more fluid and more accessible than ever before.

This is the axis of talent.

Axis of talent

There won't be a person available for every job, but for every person in the world, there will be a job that needs to be done.