Skip to main content

GQG Partners' Brian Kersmanc on Tech's Inflection Point and AI Monetization Challenges

CNBC TelevisionNovember 5, 20254 min8,838 views
25 connections·32 entities in this video→

Tech's Inflection Point and AI Spending

  • πŸ’‘ Brian Kersmanc of GQG Partners identifies a significant inflection point in the tech sector, primarily due to a limited monetization of substantial AI infrastructure spending.
  • πŸ’° Despite $600 billion spent on AI infrastructure, revenues generated are only in the $20-30 billion range, indicating a disconnect.

Cloud Market Dynamics and Pricing Pressure

  • ☁️ Spending has heavily concentrated in the cloud, leading to lower barriers to entry and aggressive pricing among cloud providers.
  • πŸ“‰ Companies like Oracle are undercutting major players such as AWS and Azure by 40-70%, with rental costs for compute power, like Blackwell chips, dropping significantly.
  • ⚠️ This intense price competition, combined with a lack of AI monetization, suggests a potential lack of headroom and unsustainable growth.

Investor Skepticism and AI Project Success Rates

  • πŸ“Š An MIT study indicated that 95% of AI deployments were found to be useless, with no acceptable use cases identified.
  • 🎯 Similarly, a consultant reported that only 15% of 400 AI projects showed positive results, casting doubt on the widespread efficacy of current AI implementations.

Chip Availability and Market Expectations

  • ⚑ Despite narratives of high demand, H200 chips are selling at 30-40% discounts and appear readily available, suggesting more capacity than publicly acknowledged.
  • πŸ“ˆ This potential oversupply and lack of demonstrated monetization create nervousness about current market expectations for the AI sector.

Pervasive Market Impact of AI Narrative

  • 🌍 The AI narrative has become pervasive, influencing best-performing assets globally, from semiconductor and memory stocks in Korea to industrial companies in Europe.
  • 🏦 Even US banks have seen increased activity in capital raising and M&A advisory for AI-related ventures.
  • ⚑ Utilities, particularly non-regulated ones, have benefited from perceived AI-driven demand for power, but this could reverse if demand falters.
Knowledge graph32 entities Β· 25 connections

How they connect

An interactive map of every person, idea, and reference from this conversation. Hover to trace connections, click to explore.

Hover Β· drag to explore
32 entities
Chapters3 moments

Key Moments

Transcript19 segments

Full Transcript

Topics11 themes

What’s Discussed

AI MonetizationTech Inflection PointCloud ComputingPricing CompetitionAI Infrastructure SpendingAI Project Success RatesChip AvailabilityMarket ExpectationsSemiconductor StocksData CentersUtilities
Smart Objects32 Β· 25 links
ConceptsΒ· 17
CompaniesΒ· 11
ProductsΒ· 3
EventΒ· 1