Скачать или смотреть AI startup claims vs reality

While investments in AI have reached record highs, research from institutions like MIT reveals that 95% of enterprise projects fail to deliver meaningful financial returns. This "Great Divergence" is particularly evident in software development, where tools like AI coding assistants often decrease efficiency by forcing senior staff to repair flawed machine-generated output. Consequently, regulators like the FTC and SEC are cracking down on "AI washing," which involves companies making deceptive or exaggerated claims about their technological capabilities. Experts now emphasize that sustainable progress requires robust governance frameworks and a shift toward human-in-the-loop systems rather than full autonomy. Ultimately, successful adoption depends on reimagining workflows to prioritize strategic oversight and ethical accountability over mere automation.