Statements about the future of AI are stirring controversy in the tech community. Critics point to past ventures as cautionary examples: one company on the left went bankrupt (Unbabel), while another in the middle has been selling ideas for over a decade. Insider accounts reveal turbulent histories — including mass departures from leadership and entire departments, as seen at Defined, where the CTO and the full machine learning team once walked out.
These examples fuel skepticism about grandiose AI forecasts and highlight the gap between hype and execution. Observers caution that vision alone isn’t enough; building sustainable AI solutions requires consistent delivery, strong teams, and real-world results.
The debate continues as entrepreneurs, investors, and tech professionals weigh the promises of AI against the lessons of past ventures.
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