Tantangan terbesar organisasi pendukung kewirausahaan sejauh menyangkut Ai, rantai blok dan teknologi baru adalah sisi rasa kemanusiaan dalam usaha mulai hilang terganti oleh teknogi jadi akan muncul produk yg sdh tidak natural lagi

Improving digital skills and openness to cultural changes in work.

• I can tell you this in the context of my work and hope it helps you.
• Limited Access to Data: Many startups, particularly those in AI, rely on vast amounts of data to train their systems. However, accessing high-quality, unbiased datasets can be both costly and challenging. ESOs are often unable to provide these resources, which limits the growth potential of startups in data-intensive fields.
• Investor Readiness and Market Fit: Due to the nascent nature of these technologies, it can be difficult to demonstrate clear market demand or ROI to investors. ESOs have to help startups communicate value propositions that are still often abstract and long-term, making fundraising a significant hurdle.
• Cross-disciplinary Mentorship Needs: Unlike traditional startups, those in emerging tech require a blend of mentors in tech, ethics, policy, and business, which is hard to curate. ESOs need to build broader mentor networks across multiple fields to support these startups fully.

The biggest challenge is not all generations of entrepreneur familiar with AI and need extra effort to adapt for the entire organization.

Challenges are multi-facet, however the entrepreneurship clime differs interns of opportunities and threat. A universal phenomenon of challenge is the change management adaptability. Which is constraints with communication, training & development,and technology techniques for AI deploration by entrepreneur 's.