25 proven tactics to accelerate AI adoption at your company

Summary

Summarized wtih ChatGPT

Many companies struggle with AI adoption because employees lack clear guidance and face organizational hurdles. Successful firms explain how to use AI, track progress, remove barriers, and focus on high-impact tasks. Empowering employees and rewarding AI use leads to better results and faster adoption.

Key takeaways:

1. Clearly define AI expectations and provide hands-on support.
2. Track AI usage and reward employees who adopt it well.
3. Remove approval delays and prioritize automating repetitive tasks.

Highlights from Article

he shared concrete tactics he expects to see, like making AI prototyping part of the company’s GSD (get shit done) process

Define what “embracing AI” means: Luis von Ahn, Duolingo’s CEO, defined AI adoption as both “making our products better” and “empowering employees to do their best work.”

Lead by example in real time: When a PM brings a problem to Hilary Gridley, Whoop’s Head of Product, she’ll say, “Want me to show you how I solve this with AI?” Then she shares her workflows live.

Make AI adoption part of performance reviews: Shopify asks employees to rate colleagues on a 1-to-5 scale for how well they “reflexively use AI tools for improving and amplifying work outputs.”

Make it a daily habit: Whoop gave employees a 30-day challenge with bite-size 2-minute tasks to complete and rewarded those who kept the longest streak.

Give employees time to tinker: “No time” was the main reason employees cited for not trying new AI tools, so Intercom CTO Darragh encouraged managers to give employees dedicated time to skill up.

Run AI learning villages: Shopify hosts dedicated AI training at company events, with hands-on challenges and subject-matter experts.

Create an AI SWAT team: Ramp’s cross-functional team identifies each group’s top AI automation need and builds solutions.

Create content with AI: Duolingo rebuilt their course content creation process with AI, going from 100 courses in 12 years to 150 courses in just 12 months. From CPO Cem Kansu: “We vibe coded the first Duolingo Chess lesson in hours instead of weeks.”

Empower employees to build internal AI tools: A PM on Hilary’s team at Whoop built an evaluation tool that tests whether prompts perform better across dozens of persona types—without going through engineering.

All material owns to the authors, of course. If I’m highlighting or writing notes on this, I mostly likely recommend reading the original article, of course.

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