Learn the Art of AI Strategy Failure: Embracing Spectacular Disaster with Our Dream Team

Join Hamil and Greg, self-proclaimed 'dream team of disaster,' as they reveal the definitive guide to spectacularly failing with AI strategies, from dividing and conquering your company to embracing perpetual beta and tool-driven chaos.

1- The speakers, Greg and Hamill, will teach how to mess up an AI strategy.
2- They have advised many companies and witnessed numerous ways AI strategies can fail.
3- The first step to failure is to divide and conquer your own company, creating impenetrable silos and incentivizing secrecy between teams.
4- Adhere to the "anti-value stick" principle, which is the opposite of value creation and being strategic.
5- Make false promises to customers about what AI can do, without worrying about details or cost.
6- Max out company credit cards on infrastructure costs, thinking of it as an investment.
7- Build systems so convoluted that even executives can barely understand them, guaranteeing job security.
8- When defining your strategy, fake any diagnosis and create ambiguous and vague guiding policies.
9- Announce grand plans in company All Hands meetings, using jargon and the word "disruptive" excessively.
10- Embrace perpetual beta, creating a massive backlog in GitHub and eroding people's willpower with excessive documents.
11- Communicate in such a way that nobody understands, drowning everyone in jargon.
12- Seed division in your organization by using jargon to exclude certain people from decision-making processes.
13- When mobilizing, randomly assign AI tasks to people with no relevant experience.
14- Outsource data review to offshore Q&A teams with little context about your business.
15- Launch untested, buggy AI chatbots directly to customers, disregarding quality assurance.
16- Focus on tools rather than processes when dealing with problems.
17- Adopt a mindset that there should be a one-size-fits-all solution for all businesses.
18- Create a dashboard with every off-the-shelf metric, making sure the numbers are unintelligible.
19- Avoid looking at data and trust AI output blindly.
20- Trust your gut and feelings when making million-dollar decisions, substituting data with intuition.
21- Engineers are coding wizards who can handle everything without needing to speak to customers or use simple tools like spreadsheets.
22- Put data in complex systems only engineers can access, preventing domain experts from using it.
23- The speakers have a book coming out on February 27th and are eager to help with AI strategy advice.
24- The talk was presented in an "inverted" manner for humor, but the speakers' lived experience is not inverted.

Source: AI Engineer via YouTube

❓ What do you think? What is one key takeaway from this humorous presentation that, if implemented, would likely guarantee catastrophic failure in an AI strategy? Feel free to share your thoughts in the comments!