Artificial Intelligence (AI) has penetrated every crevice of corporate life, revolutionizing operations, marketing, customer interaction, and decision making. Yet it's not all rosy in the silicon world. Ethical paradoxes have emerged, posing challenges for businesses seeking to leverage AI for competitive advantage while maintaining customer trust and compliance with the law.

AI's ethical challenges spring from its very strength - autonomy. From autonomous vehicles making life-or-death decisions to algorithms determining job suitability or creditworthiness, AI's impartiality and lack of accountability mire businesses in controversies. While some hail the technology for its efficiency, others raise the red flag for its potential to undermine fairness, privacy, and human dignity.

AI's efficiency can sometimes translate into ruthlessness. Consider algorithmic hiring, where AI sifts through resumes, saving time and resources. However, the algorithm's decision-making process could be biased, often reflecting prejudices of its creators or the data it was fed. This can exclude qualified candidates from diverse racial, social, or educational backgrounds.

AI's ability to collect, analyze, and utilize enormous amounts of data raises concerns over privacy. The paradox lies in the fact that businesses need data to improve products and services, while customers, although benefitting from personalized experiences, are wary of extensive data collection practices. Resolving this paradox requires a delicate balance between leveraging data for business competitiveness and respecting consumer privacy.

AI systems often operate as 'black boxes,' making decisions that impact lives without providing clear reasons. This lack of transparency poses issues for businesses as customers demand to know how their data is used and how AI’s decisions affecting them are made. Making AI's decision-making process transparent can counter this problem, but it may expose the company's proprietary algorithms to competitors.

As AI automates tasks, job displacement becomes an impending reality. The automation dilemma pits efficiency against job preservation. Businesses must walk a tightrope, harnessing AI's efficiency while ensuring job transformation instead of job elimination.

Solving AI's ethical paradoxes requires a holistic approach. This includes improving algorithmic fairness, embracing privacy by design, promoting AI transparency, and ensuring worker re-skilling in the face of automation. Regular ethical audits and fostering a culture of ethics and responsibility are also crucial.

AI's ethical paradoxes put businesses in a tight spot, forcing them to balance efficiency with fairness, privacy with personalization, transparency with competitiveness, and automation with job preservation. While AI promises unprecedented opportunities for business growth, it also brings unique challenges that require a new set of strategies and a fresh mindset. As we continue to untangle these ethical paradoxes, we carve the path for a future where AI and humans coexist symbiotically in the business world.