
From Talent Scarcity To Data Quality: Challenges Facing AI Startups In 2025
ABP NewsBy Rahul Paith Artificial intelligence is the new force that has transformed industries and shaped the future of innovation. From navigating a talent crunch and securing funding in uncertain economic times to addressing regulatory hurdles and the high costs of infrastructure, startups must overcome numerous obstacles to thrive in an increasingly competitive landscape. Infrastructure Costs & Competitive Pressures AI startups require significant computational power for training and deploying machine learning models. Moreover, incubation and acceleration initiatives in these regions provide access to shared resources, including high-performance computing infrastructure and co-working spaces, which enable startups to scale efficiently without incurring prohibitive costs. The Way Ahead To overcome these challenges, AI startups need to take strategic approaches: Building Partnerships: Collaborations with academia, industry players, and government bodies can help startups access resources, including talent and data, while enhancing credibility.
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