- The report states that 95% of companies have nothing to show for their AI investments
- Only 5% have successfully implemented AI tools
- Workers prefer chatgpt to a personalized ai
The new data of the Nanda initiative (Network agents and the Decentralized AI) of the MIT have stated that although US companies have invested $ 35-40 billion in generative tools of AI, an overwhelming majority (95%) of them have nothing to show.
This leaves only 5% of the companies that have successfully deployed AI tools, with failures attributed to the inability of AI to retain data, adapt and learn over time, not the shortage of infrastructure and talent that often reaches the holders.
Exploring a variety of implementations, from standards to specially designed systems, MIT found that only 5% of custom AI tools reach production.
Companies don’t have much to show for their AI investments
With many executives who now see demonstrations such as little more than scientific projects, confidence in AI initiatives has decreased among corporate leaders.
The smallest impacts were measured in professional services, medical care and pharmaceutical products, consumers and retailers, financial services and energy and materials.
Although many companies are struggling to quantify the benefits of their IA implementations, 80% of technology and media executives expect a reduced hiring in the next 24 months.
However, the impacts of the workforce vary, since employment cuts mainly affect non-basic and subcontracting roles, it is estimated that 5-20% of these roles have already affected.
The study also revealed that workers prefer generic tools such as chatgpt on specialized offers, even when they are driven by the same models.
The familiarity and flexibility of chatgpt in particular has promoted the adoption of you in the shadow, and companies are urged to consider the needs of workers and adapt the policies accordingly to increase security instead of prohibiting them completely.
On the other hand, business tools are generally considered rigid and less effective, despite their typically higher costs.
Looking towards the future, it is clear that there is value in a much simpler strategy. Instead of creating complex patented systems, adjusting the widely available tools to adhere to the company’s policies could offer much better ROI while reducing the amount of the dedicated amount of training training than the workers they might need.
