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Menlo Ventures survey reveals where enterprises are spending on AI
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Current state of enterprise AI adoption: A comprehensive survey by Menlo Ventures reveals a complex landscape where substantial investment coexists with strategic uncertainty.

  • More than one-third of surveyed IT decision-makers lack a clear vision for implementing generative AI across their organizations
  • Enterprise spending on AI infrastructure and applications increased more than six-fold from $2.3 billion in 2023
  • 72% of decision-makers expect broader adoption of generative AI tools in the near future

Investment breakdown and priorities: Foundation models represent the largest segment of enterprise AI spending, while application development shows the most dramatic growth.

  • Foundation model investments reached $6.8 billion, up from $1 billion in 2023
  • AI applications spending surged eight-fold to $4.6 billion
  • Data and infrastructure investments remained relatively modest at $400 million
  • Code generation tools, particularly Microsoft’s GitHub Copilot, lead application use cases, followed by support chatbots and enterprise search

Market dynamics and vendor landscape: The competitive landscape for AI providers is shifting as enterprises evaluate different solutions.

  • OpenAI’s enterprise market share declined from 50% to 34% among closed-source models
  • Anthropic doubled its enterprise presence from 12% to 24% as companies switched to Claude 3.5 Sonnet
  • A “Modern AI Stack” is emerging, incorporating foundation models, data services, development frameworks, and integration tools

Future outlook and challenges: The AI landscape is poised for significant disruption across multiple sectors.

  • AI agents are expected to impact the $400 billion enterprise software market
  • Traditional software companies and IT outsourcing firms face competition from AI-native challengers
  • A significant talent shortage looms, with AI-skilled enterprise architects potentially commanding 2-3x salary premiums

Strategic implications: While enterprise AI adoption is accelerating rapidly, the gap between investment and strategic clarity suggests organizations need to focus on developing comprehensive implementation roadmaps while preparing for significant industry transformation.

Enterprises struggle with what to do with Gen AI, say venture capitalists

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