How long does it take for a team to adopt new AI tools?

Yesterday, a fellow startup founder asked me, "Brian, how do I get my team used to AI fast?"

Many managers stress out because they buy expensive AI subscriptions, but a month later their team is back to doing things manually. They think AI adoption is instant. Give them a login, and tomorrow the work is done in half the time. Human work rhythms do not operate that fast.

I am Brian Arfi. Over two decades building products at Tokopedia, Hijra, Flip, and now leading four product teams for a superapp in MENA, I have seen the same pattern of resistance repeatedly. Adopting new work tools always takes time. People hesitate to change workflows that have kept them comfortable for years.

The first month is the most vulnerable phase. The team is still guessing. Prompts often miss the mark, AI answers are wrong, and eventually team members feel AI just adds hassle. At this point, the manager's role is crucial. Do not ask for efficiency metrics yet. Let the team try, fail, and understand AI logic without excessive pressure.

Entering the second month, bright spots usually start to appear. Team members slowly understand the limits of this tool. They become sharp at picking which repetitive tasks go to the machine, and which strategic matters require critical human reasoning. To make this new habit spread fast, I always ask team members to share their best prompts in our internal communication group. One person's effective practice gets adopted instantly by others.

From the third to the sixth month, we finally enter the harvest phase. Work speed rises sharply. Hours previously spent on basic drafts are now used to solve complex product problems.

Saving companies money is an old habit of mine, from well before AI was trendy. I drove over 4 million US dollars per year in savings through a range of initiatives like process improvements, cost optimization, and more efficient product decisions. Back then, that kind of leverage required a senior seat, an engineering team, and expensive systems. Today, AI is the sharpest tool for that same habit, and it can be trained into everyone on the team.

Now, everyone has an incredibly cheap weapon at their fingertips. As a real example, my team and I recently built a customer support ticket automation system that jumped from 0 to 70 percent automation, cutting costs by up to 42 percent. Imagine how far your company can leap if everyone on the team has similar capabilities.

The key is patience. Forcing adoption only creates silent resistance. Treat AI as a new coworker who needs an orientation period. If you feel your company needs structured guidance so your team does not get lost when starting, learn about my training formats on my corporate page.