AI-native tech startups can weather an economic nuclear winter

Recently, I wrote a piece for VentureBeat distinguishing between companies that are AI-based at their very core and ones that simply use AI as a function or small part of their overall offering. To describe the former set of companies, I coined the term “AI-Native.”

As a technologist and investor, the recent market downturn made me think about the technologies poised to survive the winter for AI — brought on by a combination of reduced investment, temporarily discouraged stock markets, a possible recession aggravated by inflation, and even customer hesitation about dipping their toes into promising new technologies for fear of missing out (FOMO).

You can see where I am going with this. My view is that AI-Native companies are in a strong position to emerge healthy and even grow from a downturn. After all, many great companies have been born during downtimes — Instagram, Netflix, Uber, Slack and Square are a few that come to mind.

But while some unheralded AI-native company could become the Google of the 2030s, it wouldn’t be accurate — or wise — to proclaim that all AI-Native companies are destined for success.

Read more

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.