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Back to Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse, with Arvind Krishna & Nikesh Arora.

Why Will Enterprise Software Vendors Consolidate?

Nikesh Arora says there is going to be a huge disruption in the SaaS space over the next few years. Arvind Krishna builds on that point. Krishna says the average enterprise uses anywhere from 500 to 5,000 distinct software vendors, and that stack is a massive attack surface, not only a cyber problem.

Krishna asks whether 490 of those vendors could be replaced with minor AI capabilities, leaving 5 to 10 main platforms. The consolidation is where the spend goes. If distribution cost has to stay low and the value of each product is falling, a company cannot afford independent distribution for every vendor. Krishna says the change plays out somewhere between six months and six years.

Transcript

Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse ·

All-In

More from this episode

  1. When Could a Quantum Computer Break Today's Encryption?Arvind Krishna puts a working quantum computer that breaks today's cryptography at 2030.
  2. Should Teams Use the Best AI Model First?Nikesh Arora says that in the experimentation phase a company should use the best model it can find, in the easiest way.
  3. How Often Are AI-found Code Flaws Real?Nikesh Arora says a model that has learned what good code looks like can also point at bad code. Attackers only need one real vulnerability.
  4. Will Agent-written Code Beat Human-written Code?Arvind Krishna says agent-written code will be superior to human-written code.
  5. Will Every State Ban Data Centers?Arvind Krishna says there is no chance all 50 states will ban data centers. A ban in 30 states is possible, and the remaining 20 would rub their hands in glee.
  6. Can AI Software Replace a Bank Lookup?Arvind Krishna says replacing a database lookup for retail banking, or the work of closing the books, with AI-generated software is going to be hard.

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