Market Barriers
There is no single barrier to the adoption of AI for practical applications. Instead, the barriers come from a variety of different sources and range from the need for accurate data, to the limits of mathematics, and even human nature itself. Many of the biggest names in science and technology have expressed reservations. For example, Microsoft founder Bill Gates stated he was “in the camp that is concerned about artificial intelligence,” and noted physicist Stephen Hawking has warned that AI could be the “worst event in the history of our civilization.” Yet, it is not the skeptics, but the promoters about which executives need to be most worried. AI is inherently:
- Easy to oversell
- Difficult to understand
- Controversial in many contexts
- Subject to some strict limitations and prone to underperformance
Indeed, over-promotion of the capabilities of AI may actually cause more harm to the industry than those that preach extreme caution. Within enterprises, overpromising and underdelivering can be the death knell for any new initiative, and it is no different with AI. Executives must take care to comprehensively evaluate vendors and their solutions, and push to get an honest appraisal of a potential AI solution’s capabilities and limitations, before rolling it out across an entire enterprise.
Finally, an often-overlooked barrier to accepting AI has little to do with technology, but much to do with corporate culture and people. By its very nature, AI likely will replace many job functions that are often deemed repetitive, lower-value, or, in some cases, simply more efficiently handled by a machine than a human. There is often significant opposition to incorporating new technology within an organization from those who might either be replaced by that technology, or those who may be forced to learn new skills or take different types of positions within the organization. Moreover, incorporating change of any type is often met with resistance, simply because it upsets the status quo within an organization.
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