AI projects are failing at scale. Apple's overhauled Siri missed its 2024 deadline and has been pushed to 2025 at the earliest. OpenAI's 'super app' ambition collapsed into a cluttered product with no clear identity. Inflection AI gutted its consumer chatbot Pi to pivot to enterprise. These are not small bets. These are billion-dollar commitments from the most resourced organizations in tech, and they folded or stalled anyway.
The pattern is consistent: overpromised timelines, underdelivered integration, and a market that does not wait. Humane's AI Pin launched at $699 and earned immediate ridicule for latency and usability failures. Rabbit's R1 device shipped to paying customers who discovered its core features were a dressed-up web scraper. Amazon's Alexa LLM upgrade, internally called 'Remarkable Alexa,' missed multiple internal ship dates. The gap between demo and product is where these projects die.
The full TechCrunch list is worth reading not for the obituaries but for the timeline. Seeing when each project launched, what it promised, and exactly when expectations were revised tells you more about the state of applied AI than any product announcement. The graveyard is still being filled.
[READ ORIGINAL →]