AI-startup funding crosses $3.5 billion in November as enterprise adoption lag persists
Despite the funding surge, a fourth of companies report limited enterprise-wide deployment of their solutions — underlining a widening gap between investor enthusiasm and real-world scaling. Investor focus is now shifting to monetisation metrics, EBITDA inflection and proof of adoption beyond POCs.
AI-startup funding crosses $3.5 billion in November as enterprise adoption lag persists
Despite the funding surge, a fourth of companies report limited enterprise-wide deployment of their solutions — underlining a widening gap between investor enthusiasm and real-world scaling. Investor focus is now shifting to monetisation metrics, EBITDA inflection and proof of adoption beyond POCs.
AI-startup funding crosses $3.5 billion in November as enterprise adoption lag persists
Global AI startup funding hits $3.5 bn in November, but enterprise-wide deployment remains limited, raising scaling concerns.
Despite the funding surge, a fourth of companies report limited enterprise-wide deployment of their solutions — underlining a widening gap between investor enthusiasm and real-world scaling. Investor focus is now shifting to monetisation metrics, EBITDA inflection and proof of adoption beyond POCs.
Despite the funding surge, a fourth of companies report limited enterprise-wide deployment of their solutions — underlining a widening gap between investor enthusiasm and real-world scaling. Investor focus is now shifting to monetisation metrics, EBITDA inflection and proof of adoption beyond POCs.