𝗝𝗲𝘁 𝗲𝗻𝗴𝗶𝗻𝗲 𝗼𝗻 𝗮 𝗿𝗶𝗰𝗸𝗲𝘁𝘆 𝗰𝗮𝗿. 𝗣𝗼𝘁𝗵𝗼𝗹𝗲𝗱 𝗿𝗼𝗮𝗱. 𝗔𝗻𝘅𝗶𝗼𝘂𝘀 𝗽𝗮𝘀𝘀𝗲𝗻𝗴𝗲𝗿𝘀.
You are the driver tasked to steer it, successfully.
If you are a CXO or a senior leader in a large corporation, you know how it feels.
Because this is the story of that AI project you are trying to scale, unsuccessfully.
***
𝗔𝗜 𝗶𝘀 𝘁𝗵𝗲 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗷𝗲𝘁 𝗲𝗻𝗴𝗶𝗻𝗲 — built for speed and power.
Your 𝗹𝗲𝗴𝗮𝗰𝘆 𝘁𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗼𝘁𝗵𝗼𝗹𝗲𝗱 𝗿𝗼𝗮𝗱 — fragmented, unstable, and full of blind spots that slow every move.
The rickety car?
𝗧𝗵𝗲 𝗳𝘂𝗲𝗹 𝗹𝗶𝗻𝗲 (𝗱𝗮𝘁𝗮): leaky, messy, inconsistent, so your engine sputters.
𝗧𝗵𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝘀 (𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀): clunky, manual, disconnected, making it hard to steer or brake effectively.
𝗧𝗵𝗲 𝗰𝗵𝗮𝘀𝘀𝗶𝘀 (𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗮𝗻𝗱 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲): heavy, outdated, built for yesterday, not designed for agility or speed.
And the 𝗽𝗮𝘀𝘀𝗲𝗻𝗴𝗲𝗿𝘀 (𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝗮𝗻𝗱 𝗹𝗲𝗮𝗱𝗲𝗿𝘀) — are anxious (another failed project?) and fearful (will the jet engine suck my job in?)
No surprises then that the engine roars, but the car barely moves.
And you wonder why.
***
Because scaling AI is about rebuilding the whole vehicle and more.
→ Repave the road (modernize tech stack)
→ Seal the fuel line (clean up data flows)
→ Fix the controls (streamline processes)
→ Modernize the body (align strategy and structure for agility)
→ Empower the passengers (build a culture of experimentation and ownership)
When all these pieces come together, AI stops being a buzzword. It becomes a true accelerator of impact.
Otherwise, you’re just revving in place, stuck on a potholed road.
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P.S. - views are personal