AI is expected to widen the gap because it tends to disproportionately benefit those with advanced skills, resources, and access to technology (the "superstars") while leaving behind those without such advantages. Some key reasons include:

• AI systems often reinforce existing inequalities due to biased algorithms and unequal access to digital tools, amplifying social disparities.

• Superstars with expertise in AI can leverage it to automate tasks, innovate, and increase their productivity, pushing ahead of others who lack such skills or access.

• The rapid pace and complexity of AI technology create barriers for many to keep up without ongoing education and training, thus increasing the divide between skilled and unskilled workers.

• AI-driven automation tends to displace lower-skilled jobs, disproportionately impacting vulnerable populations while creating new high-skilled opportunities mainly for those with advanced education.

• Without wide access to AI education and digital literacy programs, many communities remain excluded, worsening the digital divide.

In summary, AI can increase inequality both by favoring those with the most skills and access, and by amplifying existing social and economic disparities unless deliberate efforts are made to ensure inclusive design, transparency, and equitable access to AI technologies.