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Once superintelligence is achieved, AI will technically be capable of performing all human jobs. Therefore, the jobs that remain will not be those that AI *can't* do, but rather those that society, through laws and regulations, decides AI *shouldn't* do, such as being a judge.
Unlike past industrial revolutions where displaced workers could retrain, AI is a 'meta-invention' capable of performing any new task that arises. This eliminates the 'retrain for a new career' safety net, creating a scenario with no Plan B for human employment.
Career security in the age of AI isn't about outperforming machines at repetitive tasks. Instead, it requires moving 'up the stack' to focus on human-centric oversight that AI cannot replicate. These indispensable roles include validation, governance, ethics, data integrity, and regulatory AI strategy, which will hold the most influence and longevity.
Worrying about AI replacing jobs is wasted energy. Like past technological shifts (internet, tractors), new roles will emerge. The onus is on the individual to hold themselves accountable and adapt rather than blame the inevitable progress of technology.
Even super-capable AI will always look back to a human and ask, 'What should I do next?' The economic and technical incentives are aligned to build compliant tools, not beings with their own intrinsic motivations. This fundamental lack of agency ensures humans remain the drivers of value and direction.
As AI automates tasks, it erodes the implicit deal where society provides education and people work hard in exchange for stability and opportunity. This raises profound questions about fairness, retraining responsibilities, and whether a job should remain the primary source of security and status.
AGI won't eliminate all jobs because many roles contain a "Human Premium"—value tied to human involvement that AI cannot replicate. This includes inherent demands for relationship, embodied presence, trust, legal accountability, translation of complex needs, and encouragement for behavior change, ensuring durable roles for people.
AI's primary impact is not wholesale human replacement but rather collapsing the middle of the value pyramid by automating routine knowledge work. The value of human workers will shift to higher-level judgment and strategic oversight, where AI can structure options and simulate outcomes, but humans retain final say due to liability concerns.
The most significant risk to AI development is not a technical challenge but a widespread public outcry from those whose jobs are displaced. This could lead to a "burn down OpenAI" mentality, resulting in crippling regulations that halt progress out of fear and sympathy for the displaced.
Political demands that new technology must benefit the specific workers it replaces are fundamentally flawed. This logic ignores progress. The goal shouldn't be to preserve obsolete jobs but to ensure technology benefits civilization as a whole by creating abundance while managing the difficult labor transition.
Venture capitalist Vinod Khosla argues the primary obstacle to AI's societal benefit isn't technology but political fear. He believes politicians may enact unwise regulations to slow AI adoption in response to job displacement, hindering progress more than any technical, capital, or data center challenge.