The debate over AI's capability to replace the roles of professionals, such as doctors and lawyers, overlooks a pressing concern: the threat of entire companies becoming obsolete due to AI advancements. Recent discussions highlight OpenAI's steep costs for training AI, intensifying fears of job displacement. Experts like James Villarrubia and Sean McGregor emphasize that while AI is progressing, current systems lack capabilities for critical tasks. Suzanne Rabicoff believes the real shift lies in companies evolving towards efficiency rather than merely replacing roles, signaling a deeper change in how businesses operate amidst technological growth.
"Current AI technology is not sufficiently robust to allow unsupervised control of hazardous chemistry equipment, human experimentation, or other domains where human PhDs are currently required."
"I've not seen it be that impressive yet, but it's likely not far off," James Villarrubia, head of digital innovation and AI at NASA CAS, told me.
"Instead, it changed my perspective. AI needs to outperform the system, not the role," Suzanne Rabicoff noted, emphasizing how new efficiencies could emerge.
"This is unprecedented... more efficient companies are rising instead of jobs being replaced at companies with tech and human capital debt."
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