The Sweet Science: Why The AI Era Belongs To Middleweights
The biggest long-term gains from AI will not flow to heavyweight incumbents or many AI-native startups but to scrappy middle-market technology companies, the middleweights, argues Brad Bernstein, managing partner at FTV Capital. In this guest column he shares the five traits the best middleweight technology companies share. Guest Author By Brad Bernstein Think of the most famous boxers you know, likely the heavyweights: Muhammad Ali, Joe Louis, Mike Tyson.
Key Takeaways
- In a clash between titans, the advantages seem easy to understand, since the bigger fighter looks like the stronger one.
- But AI is tough to get right at any size.
- One objection: Won't hyperscaler companies go after certain verticals?
If Copilot inside Microsoft 365 or Salesforce 1 agents can run a workflow, how does a middleweight company survive?
- What makes for a winning middleweight company?
The best middleweight technology companies share the five traits below, all working together as a system.
- Enterprise companies are weighed down by technical debt and legacy infrastructure.
Stats & Key Facts
- #In a famous 1951 match against Jake LaMotta, Robinson schooled the reigning, heavier middleweight champion with a 13th-round TKO.
- #Look at Klarna , valued at $6 billion in 2024.
- #It made headlines claiming its OpenAI -powered chatbot could handle millions of conversations and do the work of 700 customer service employees.
- #Customers hated the rollout, and by 2025, Klarna was hiring back humans .
In a clash between titans, the advantages seem easy to understand, since the bigger fighter looks like the stronger one. But size alone is not a strategy. Sugar Ray Robinson was a middleweight, not a heavyweight, and in the 1950s, A.J. Liebling said he looked "more like a loose-limbed dancer than a boxer."
Robinson's advantage was completeness: speed, footwork, intelligence and stamina. In a famous 1951 match against Jake LaMotta, Robinson schooled the reigning, heavier middleweight champion with a 13th-round TKO. Completeness also applies to companies.
The market tends to assume that big companies will capture the biggest gains from AI. But AI is tough to get right at any size. Look at Klarna , valued at $6 billion in 2024.
For more details please read the original article at Crunchbase News.
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