NWe are experiencing a paradox. In the business world, artificial intelligence has become common knowledge to everyone. But in many companies, AI dashboards remain limited, while employees quietly use ChatGPT and other conversational models to document, translate, write, and program. If AI is everywhere, from PCs to smartphones, it is not deeply integrated into corporate functions, so its adoption is much slower than its employees.
A controversial report from the Massachusetts Institute of Technology showed that 95% of generative AI pilot projects in the United States failed. The irony: even though managers accuse their employees of rejecting corporate-driven models, almost 90% of them are actively using personal AI tools! However, its use is not known or controlled internally. This is a ghost AI, nicknamed BYOAI (for “Bring Your Own AI”): everyone brings their favorite AI to work.
THAT Financial Times highlights another paradox: 374 of the 500 companies in the S&P 500 index mentioned AI positively during investor conferences, while their regulatory documents primarily detail its risks, making this optimism suspect.
At the same time, many media (and even states) are concerned about the surge in investment in AI data centers, which is considered disproportionate considering that the revenues generated by this technology are still very small, especially from the freemium (partially free) model and inherited from Web 2.0. The same is true of the revenues derived from AI by the companies that use it: the resulting productivity gains remain unclear.
Companies dream of increasing productivity and reducing costs in the near future. They are also afraid of missing out on the next technological developments, without always understanding the true direction of this movement. However, history shows that technological revolutions are not born from improving what already exists, but from the emergence of new tools that realize what the old world never imagined.
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