"The debate about artificial intelligence tends to orbit around what machines can do faster, cheaper, or at greater scale. Yet the real fault line of the coming years does not run through algorithms. It runs through the human interior. As AI accelerates toward 2026 and beyond, the decisive question is not technical capacity, but intentional capacity: how humans orient their aspirations, emotions, thinking, and bodily awareness in relation to increasingly capable systems."
"Aspiration precedes every design choice, every delegation decision, every metric of success. Before AI optimizes a process, a human aspiration has already determined what is worth optimizing in the first place. Research from Self-Determination Theory shows that not all aspirations are equal. Decades of empirical work by Edward Deci and Richard Ryan demonstrate that intrinsic aspirations such as growth, contribution, and meaning are consistently associated with higher well-being, ethical sensitivity, and sustained motivation, whereas extrinsic aspirations, status, image, and reward correlate with fragility"
The decisive fault line of AI lies in human interior rather than algorithms. Intention arises from four interacting inner dimensions: aspiration, emotion, thought, and sensation. Aspiration directs what humans choose to optimize and shapes whether AI becomes instrument or author of direction. Self-Determination Theory distinguishes intrinsic aspirations (growth, contribution, meaning) from extrinsic ones (status, image, reward); intrinsic aims link to well-being, ethics, and sustained motivation, while extrinsic aims link to fragility and short-term gains. Integration of the four inner dimensions becomes a practical necessity in an AI-saturated world to ensure AI supports desired human development.
Read at Psychology Today
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