Artificial intelligence (A.I.), specifically generative A.I., is gaining attention for its innovative uses in consumer applications such as DALL-E’s imagemaking and ChatGPT’s essay writing. However, Victor Basta, CEO and founder of DAI Magister, believes the most exciting applications of A.I. will be in the B2B sector.
Basta compares A.I. to Amazon Web Services (AWS) for human effort, highlighting its potential to reshape business operations. Similar to how AWS revolutionized IT departments by eliminating the need for physical servers, A.I. can have a profound impact on businesses by reducing IT investment and allowing companies to focus on their unique strengths, adapt quickly to market changes, and innovate new business models.
Before AWS, access to computing power was a challenge even for large companies. However, A.I. can democratize computing power, enabling startups to scale at a fraction of the cost. Startups like Stripe, Lyft, and Airbnb leveraged AWS and became successful, thanks to the accessible computing power they couldn’t have afforded otherwise.
Basta suggests that A.I. can do the same for workforces and tasks that currently require substantial manpower. CEOs can leverage A.I. to expand their businesses without raising significant capital. In the near future, functions like financial accounts, transaction analysis, contract summaries, and employee tracking could be effectively automated, with only a small number of people needed to review the outputs.
Basta emphasizes that the best use of A.I. is not to replace workers but to augment their existing work. A.I. can be a valuable tool for employees to improve their roles. For example, software developers can rely on A.I. to write code and check for bugs, allowing them to focus on system design and high-level architecture.
While A.I. is expected to create new jobs and increase GDP, it may also result in a net decrease in employment. However, Basta believes that the developers who succeed in the future workplace will have more rewarding careers.
The potential of A.I. in B2B applications is vast, and its impact on business operations and workforce productivity cannot be underestimated.
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