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AI Investment Sounds Obvious to Startup Bros Until an Investor Asks for Proof

Two audiences. Two standards. One very expensive misunderstanding.

Read time: 2.5 minutes

When discussing AI investments, many investors are at first polite but then will get down to business with one hard question, which usually is "What's the impact on margins?"

All of the startup bros want you to simply say "LLMs" or "AI-native," and they demonstrate tremendous enthusiasm for the future of technology and investing in AI.

What Is The Best Way To Show AI Investments, So That Investors Believe In Them?

  1. Do Not Sell “Artificial Intelligence,” Sell a Removed Business Constraint
    Capability is easy to obtain; removing constraints, however, is where value lies.
    Correct Action: Identify the bottleneck that AI will eliminate (i.e., reviewing layers, manual quality assurance, handoffs, compliance steps).

  2. “Time Saved” Is Not ROI
    Time saved is often a new “how to do it” method, rather than creating additional profits due to the expansion of profit margin.
    Correct Action: Show output per FTE, or cost per unit, or cycle time reduction.

  3. Investors Do Not Underwrite Demos
    A successful demo will demonstrate that the model works; however, it will not demonstrate whether the company is successful.
    Correct Action: Show the Before-After workflow, and the number of steps that were eliminated.

  4. Human Reviewers Equate To No Leverage
    Adding reviewers is considered a new cost to the company; therefore, it does not produce productivity.
    Correct Action: Provide documentation as to what decisions can be made without any human intervention and what decisions need to be escalated.

  5. The Real Moat Is A Change In Operating Model
    Models are being imitated quickly; however, work redesigns take time.
    Correct Action: Describe what has changed in the roles, incentives or ownership as a result of the utilization of AI.

💡Key Takeaway: 

The vision is what startup entrepreneurs go by... however, the financial figure is what the investor will use for their decision-making. If you cannot quantify the use of AI in terms of leveraging operationally, your pitch will perish the second serious question is posed.

👉 LIKE if you have seen an AI pitch collapse on one unit economics question.

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