Alex Wang’s No-BS AI Cheatsheet Before Monday!

Read time: 2.5 minutes

1️⃣ Stop Chasing Tools. Solve Problems First:

Fact: 95% of AI projects fail to impact P&L due to poor integration. (Tom’s Hardware, 2025)
Tip: Write your problem in one sentence. Pick the AI solution to solve that problem—not the other way around.

2️⃣ Garbage In, Garbage Out:

Fact: 80% of AI projects fail because of messy data and weak pipelines. (Typewiser, 2025)
Tip: Audit, clean, and structure your data before feeding it into any model.

3️⃣ Humans Still Matter:

Fact: AI underperforms without human oversight, lowering adoption and results. (Times of India, 2025)
Tip: Let AI draft, humans approve. Always keep the human in the loop.

4️⃣ Automate Smart, Not Everywhere:

Fact: Blind automation wastes resources and kills ROI. (RAND, 2024)
Tip: Rank repetitive tasks by impact × frequency. Automate the top few only.

5️⃣ Metrics or Nothing:

Fact: AI only succeeds with measurable goals aligned to strategy. (RAND, 2024)
Tip: Pick 2–3 key metrics. Track, iterate, and optimize relentlessly.

6️⃣ Start Small. Prove It. Then Scale:

Fact: Only 5% of AI pilots scale to business-wide impact. (Tom’s Hardware, 2025)
Tip: Run a high-value pilot first. Prove results in 30–60 days, then expand.

Key Takeaways

AI isn’t magic. Solve problems, clean data, keep humans in the loop, automate strategically, measure results, and scale only after proof. This is the difference between hype and real impact.