The goal of this report is to identify the leaders who are driving AI development in pharma and tech industries. This serves as an indicator for the companies, who are committed to using AI in their innovations processes and thus have a potential to improve their market position, comparing to their peers. To this extent, the presence of AI-friendly CEOs and Board members also indicates that the corporation is focused on increasing its R&D efficiency and thus is more likely to succeed in the drug discovery sector.
This benchmarking shows the level of commitment of corporations to applying of AI methods and tools in their businesses. We assume that in the future we will be able to observe a correlation between such benchmarking and market and investment prospects of pharma and tech corporations.
One of the indicators representing corporations` openness and involvement in AI development is the presence of AI-friendly CEOs and board members who proved to be leaders stimulating the implementation of AI in their corporations.
Also, the level of commitment of corporations to applying AI methods and tools in their businesses may be considered as a sign of general innovativeness and ability to apply novel techniques which is even a more significant factor positively influencing the market and investment prospects of corporations.
We can assume that in the next few years positive dynamics of Pharma AI Stock Index will be observed, with its growth exceeding the growth of the vast majority of traditional market indices. The presence of AI-friendly CEOs and board members will probably enable corporations to outperform general market trends in the sector via a more effective and complex application of AI.
Furthermore, AI-friendly CEOs and board members are predominantly those who show general ability to innovate their corporations which is an additional reason why they may reflect market prospects of pharma and tech corporations.
Progress accelerates at the same time as people with the background in the field of AI occupy leadership positions in top companies. Main market trends are driving the growth in the AI implementation in pharmaceutical and tech research, but the overall success depends strongly on the presence of highly skilled interdisciplinary leaders. They must be able to innovate, organize and guide in this direction.
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