Practical AI Adoption Tactics for Tech Leaders
Unpacking OpenAI’s new guidance for tech leaders with real world examples and case studies. Examples from Dropbox, Shopify, Google, Notion, Stripe and more.
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This week, OpenAI published its new guidance on how tech leaders can drive and manage internal AI adoption.
The document, called Staying Ahead in the Age of AI, is a solid read for tech and leadership teams who want to assess their existing AI maturity and craft a plan for future adoption. It is structured around 5 core principles: Align, Activate, Amplify, Accelerate, Govern.
In this Deep dive we’re going to build upon each of these principles in more detail by exploring how some of the world’s top tech companies are driving AI adoption internally. We’ll take a look at real world internal AI adoption tactics from companies including Dropbox, Stripe, Anthropic, Roblox, Notion and others to understand how modern tech companies are helping their employees get up to speed quickly with AI.
If you’re currently grappling with internal AI adoption and how to get team members up to speed quickly, then you might find the examples included helpful.
Coming up:
15+ real world examples of practical AI adoption tactics from Stripe, DuoLingo, Dropbox, Anthropic, Google and others
How one company gives employees 2 hours a week to finesse their AI skills
The risks of super-fast AI adoption: an engineer shares her experiences with lessons for product teams
A practical tool you can use to measure your own company’s AI adoption score across OpenAI’s framework
How this analysis is structured
Here’s a snapshot of some of the latest AI adoption tactics, hand-picked from world leading companies:
Each tactic is categorized into one or more of the following to make filtering through the tactics easier:
Proprietary and third party tools - adoption of both internal, custom-built tools and external third party tools can help drive AI adoption. In one company, engineers led the way for other parts of the company to adopt AI, too.
Training programs - Companies like Netflix, Google and others have introduced dedicated training programs for staff to upskill and get hands-on experience with AI tools. Netflix’s leaders avoid prescribing mandatory AI-driven training and development; instead, they offer a “friction-free environment” where staff can self-select from available opportunities. One company even gives workers 2 hours week to finesse their AI skills.
Leadership initiatives and top-down decision making - Coinbase’s CEO recently said he wants 50% of all code to be AI generated, Shopify’s COO said that vibe coding is an essential part of product management and OpenAI’s leadership sets targets for automation with AI. Get examples of what tech leaders are saying and the new goals they’re setting for their people and companies.
Culture - Stripe encourages hackathons where product teams build new products with AI and share the results to drive innovation. Other companies do the same. Learn more about how these work to drive adoption.
A closer look at each of the AI adoption tactics
Now let’s take a closer look at each of these real world tactics in more detail to understand some of the practical ways tech companies are driving AI adoption.