Most AI tools will not exist in three years. The economics are brutal: point solutions become platform features overnight, and startups burn through cash twice as fast as startups did a decade ago. Here is how to spot which ones survive and avoid betting your operations on doomed solutions.
Most vendor comparisons obsess over model capabilities while ignoring what actually determines success: whether they will pick up the phone when your implementation breaks at 3am. With more than 80% of AI projects failing and 85% of companies missing AI cost forecasts by more than 10%, choosing the right partner matters more than choosing the best model.
When only 7% of organizations fully scale AI and up to 88% of pilots never reach production, the problem is not the technology. Most companies evaluate features when they should be evaluating support, infrastructure readiness, and team preparation.
Most AI RFPs collect marketing slides instead of testing real performance with your data. RAND found more than 80% of AI projects fail, often because procurement focused on credentials rather than capability. Here is a practical approach that evaluates vendors through hands-on proof of concepts using your actual data and workflows, not polished presentations.