AI And The Economy: Which Companies And Industries Will Avoid Artificial Intelligence

– AI implementation will be slow in industries with high stakes, like healthcare and corporate dealmaking, where caution and human review are prioritized due to potential life-altering consequences and risks.

– Litigious industries, such as healthcare, face legal costs associated with malpractice, making them hesitant to adopt AI due to the fear of lawsuits and class actions.

– Government activities and highly regulated industries have slower AI adoption due to bureaucracy, suspicion of new approaches, and the need for regulatory approval.

– Unions object to AI that reduces demand for labor, leading to limitations on automation in union contracts, especially in government, utilities, and construction sectors.

– Corporate culture and tradition play a role in AI adoption, with some companies being slow to adopt new tools due to resistance to change and a lack of competitiveness.

– Fast adopters of AI are seen in computer programming, freelancing writers, and solo entrepreneurs, while tailored applications will become more common in various sectors.

– Corporate AI policies are evolving, with about 81% of leaders establishing or developing internal generative AI policies, but initial limitations on AI usage are gradually being adjusted.

– The transition to AI may involve "recommendation engines" in high stakes fields, leaving final decisions to professionals but offering AI suggestions.

– Overall, AI adoption is a gradual process, and some industries and individuals will embrace it quickly, while others will adopt it very slowly.