𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝘁 𝗔𝗜 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀: 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗳𝗼𝗿 𝘁𝗵𝗲 $𝟭𝟬𝗧 𝗙𝘂𝘁𝘂𝗿𝗲

Mindset Shift towards 10x impact

Just heard Rajan Anandan‘s game-changing talk on “Building 10x Products for a $10T Opportunity” at SaaSBoomi Annual ‘25, and it completely reframes how we should think about engineering in the AI era.

The rules of engineering have fundamentally changed. We’re no longer optimizing for 2x growth—we’re building for 10x impact.

What makes AI-era engineering different?

𝗕𝘂𝗶𝗹𝗱 𝗳𝗼𝗿 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄’𝘀 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗻𝗼𝘁 𝘁𝗼𝗱𝗮𝘆’𝘀
Foundation models are getting 10x better and cheaper every 12-24 months. Smart engineers are architecting systems that leverage future capabilities, not just current ones.

𝗥𝗲𝘁𝗵𝗶𝗻𝗸 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗳𝗶𝗿𝘀𝘁 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀
When Cursor reimagined coding assistance or Bolt compressed website building from hours to minutes, they didn’t iterate—they rebuilt. The best AI products aren’t improvements; they’re replacements.

𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗻𝗼𝘃𝗲𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
RAG, voice, reasoning—these aren’t just features to add. They’re the foundation of entirely new user experiences. The question isn’t “how do we add AI?” It’s “how does AI enable what was previously impossible?”

𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗳𝗼𝗿 𝗿𝗮𝗱𝗶𝗰𝗮𝗹 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆
AI-native companies achieve $500K+ revenue per engineer (vs $60-100K traditional). This isn’t about doing more with less—it’s about building fundamentally different architectures where AI agents handle what armies of humans once did.

𝗧𝗵𝗲 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 𝘀𝗵𝗶𝗳𝘁:
From “how do we make this 20% better?” to “how do we make this unquestionably superior?”
From protecting existing workflows to completely reimagining them
From building for the $1T software market to the $10T AI-augmented labor market

We’re at the starting line of a wave projected to create $20-25 trillion in market value. The companies winning aren’t just using AI—they’re letting AI redefine what’s possible.