How to Fail at AI Strategy Hamel Husain & Greg Ceccarelli
AI Summary
Guide to Completely Messing Up Your AI Strategy
- Introduction
- Presenters: Greg (executive leader, AI startup co-founder) & Hamill (machine learning engineer).
- Aim: Outline strategies for catastrophic AI implementation.
- Step 1: Cultivate Division
- Encourage silos and secrecy within teams.
- Promote unreasonable goals without addressing the details.
- Max out budgets on expensive GPUs without cost-benefit analysis.
- Ensure convoluted systems that are hard to understand to maintain job security.
- Step 2: Define Strategy
- Fake diagnoses using past reports.
- Create vague, ambiguous guiding policies.
- Announce outlandish goals and projects with flashy jargon (e.g., AI drone lunch delivery).
- Embrace perpetual beta without clear timelines.
- Use excessive jargon to obscure understanding and exclude domain experts.
- Step 3: Mobilization
- Assign AI tasks randomly to inexperienced individuals.
- Launch untested products directly to customers without quality assurance.
- Ignore organizational disarray and focus solely on tools, not understanding processes.
- Avoid Data Analysis
- Blindly trust vendor-provided metrics without verification.
- Drown in metrics without understanding their meaning.
- Make data only accessible to engineers, preventing domain expert input.
- Rely on gut feelings instead of data for decision-making.
- Conclusion
- Following these guidelines guarantees failure in AI strategy, wasting resources and alienating teams.
- Actual advice is available at ai-exec.com and their upcoming book.
Note: Presentation is humorously inverted, but highlights real risks in poor AI implementation practices.