Quality of work can improve thanks to AI. I was outlining an article on a subject I’m very familiar with. Just as a test, I threw the topic into AI. It gave me five points. I already had three, I rejected a fourth, and realized that the AI’s fifth point was good and that I should add the concept to my outline. That certainly improved the quality of my article.
Costs will usually fall if workers get the job done faster, at higher quality. Many companies now offer AI tools to help specific business tasks be completed less expensively. Auditoria.ai, for example, can automate response to routine inquiries about accounts payable and receivable. If it works successfully, fewer staff members will be needed and service to vendors and customers will be improved.
The direction of the future will be that AI programs will be applied to specific issues. When a customer calls about a device that’s not working, AI can be trained to give the correct answer quickly. A business leader might look at the organization specifically for areas where humans are doing work too complicated for the old systems to handle automatically, but which don’t require creative solutions.Any tool can cause problems, especially in the early versions.
AI’s biggest challenge right now is making stuff up, called hallucinations. Stories abound with AI errors about factual statements that simply are false. Worse than simply false, these hallucinations sound very plausible. This problem will be fixed at some point, but right now factual statements are not to be trusted from chat AIs.The exact details of AI’s role in business cannot yet be charted, but it will certainly be big. There will be problems along the way, failed efforts, dead ends.
Business leaders should ensure that their managers are learning more about the tools, are testing different uses and encouraging their subordinates to learn more. No CEO can know how AI will change the work done across the company. But all CEOs should encourage learning, testing and trials across their organizations.