Yet, to date, these same companies have generated around $20 billion directly from AI applications, 120 times less. Unsurprisingly, this failure pattern extrapolates to almost every corner of the industry (except hardware), especially when deploying AI. Today, we are addressing just that. But besides the current issues, the truth is that most people use them wrong, and with just a few simple yet high-signal tips, you can go from an unimpressive experience into a remarkable one. The biggest proof of this is that during Microsoft's last earnings call, Satya Nadella did not mention direct revenues from Copilot, which they definitely would have if they had the opportunity to brag. He did mention they already had 1.3 million paid GitHub Copilot users, a product that is well-considered among developers. However, this product is a net loss for Microsoft, as infrastructure costs go well beyond what users pay (at times up to four times). Even I, an avid user of ChatGPT, never use GPTs, and I...
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GEN AI represents a significant advancement in artificial intelligence that goes beyond traditional chatbots like ChatGPT. Its scope is far more extensive, with implications that extend well beyond simple conversational interactions. The true potential of GEN AI is not immediately apparent to the end user; its impact is poised to disrupt industries and reshape the world as we know it.
Much like how the advent of fire, electricity, and steam engines revolutionized society, GEN AI is positioned to have an even greater impact. Its transformative power is comparable to the emergence of the internet, if not greater. Just as it took about a decade for the internet to evolve into a substantial revenue source for companies, the full potential of GEN AI is yet to be fully realized. As this technology continues to develop and integrate into various sectors, its influence is expected to be profound and far-reaching.
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