<ul><li>Only a small number of companies are genuinely invested in AI research and development, while the rest focus on leveraging Machine Learning (ML) to improve existing products.</li><li>Most companies use ML for automation, not AI, and only a small percentage have achieved mature AI adoption.</li><li>Many so-called 'AI' systems actually rely on complex if-else statements and ML algorithms, rather than true AI capabilities.</li><li>To bridge the gap between AI hype and reality, it is important to clarify the distinction between AI and ML, set realistic expectations, and encourage research into true AI beyond ML applications.</li></ul>

AI Hype vs. Reality: Why We Need to Reset Our Expectations

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