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When to ignore — and believe — the AI hype cycle
Predicting the future of AI is no simple feat, but understanding when hype is worthy or not is key to moving the industry forward.
Higher up in the stack, the opportunity in applications seems quite vast — but given where we are in the hype cycle, the reliability of AI outputs, the regulatory landscape and advancements in cybersecurity posture are key gating factors that need to be addressed for commercial adoption at scale. Similar to previous hype cycles, we must reckon with the reality that while nascent technology may be incredibly promising, it doesn’t give us the full picture — and we can’t jump to conclusions about what the gen AI wave means for every industry. I’d argue that the researchers, builders and doers are who we should be listening to, to get a sense of where the industry is headed — and not necessarily VCs, who are frankly better at picking companies versus long term trend predictions.
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