I hear this all the time from leaders:

👉 “We need to deliver the quarter. We don’t even have time to think, let alone learn about AI.”

👉 “AI might impact us in two years, but we have today’s problems to solve.”

And honestly, I get it. The pressure is on. Quarterly targets dictate priorities in most our companies 📊

Making time for something that feels distant - like AI - can be tough. Let’s face it – no one will be promoted just for getting trained or training others on AI.

But here’s the challenge:

AI isn’t coming - it’s already here. And it’s only speeding up.

Those who start learning and adapting now still have a chance to catch up.

So what can you do? More importantly, what should you do?

🚀 First: Get Trained - Your Job is Changing Anyway

Regardless of whether you’re in the same company or industry two years from now, your job will change. Believe me.

AI is reshaping roles across every function. The question isn’t if AI will impact you - it’s when.

✅ Spend 15 minutes a day testing AI tools available at work. And if you don’t have any, ask for it.

✅ Take an AI fundamentals course - even if it’s just the basics.

✅ Join conversations on how AI is changing your industry - at home, in the office, at external conferences or events.

Let me be clear: You don’t need to be an AI expert.

But in 2025, you do need to be AI-literate.

🎯 Then: Start Small, But Start Now

Start with something small, manageable - be curious.

1️⃣ Pick ONE process to optimize.

Here are some AI use case examples you can try out today:

🔹 Let AI draft first versions of emails or presentations.

🔹 Use AI to summarize reports instead of reading them manually.

🔹 Generate first drafts of job descriptions instead of manually tailoring each one.

🔹 Extract key insights from long documents with AI instead of reading everything manually.

🔹 Automate meeting notes and action items instead of relying on handwritten summaries.

🔹 Create an instant first market analysis with AI instead of spending hours researching.

🔹 Translate customer feedback into key themes instead of manually categorizing responses.

2️⃣ Get help - You’re not alone.

🔹 Find an “AI champion” in your team – someone already experimenting or just an enthusiast.

🔹 Ask colleagues what AI tools or prompts they’re using.

🔹 Partner with external experts if needed – no need to figure it all out alone. Trade money for time.

3️⃣ Make AI learning part of the job.

🔹 Have employees train each other on new AI tools. Capability is the fire, not the spark.

🔹 Normalize AI experimentation – make it part of daily work.

Bringing It All Together

Time constraints are real. I get it. If we had endless resources and time, we wouldn’t be leaders, now would we?

But the leaders who engage with AI today will be the ones shaping the future – not scrambling to catch up.

AI won’t wait for our quarterly targets.

The best time to start? Today.

I’ll see you next week.

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