The earliest and easiest use cases, according to Accenture, our partner for last week’s event, are in call centers and various types of content creation, especially marketing and sales. Next up are efforts to drive more intelligent search of information within companies as well as supply chain applications. Those efforts are moving more slowly because of concerns about data and privacy but are moving nonetheless. And then finally, on the more difficult end of the spectrum, companies see major possibilities in software development and in science and health. 

A few excerpts from the conversation:

“The momentum in A.I. over the last six months is just amazing. I don’t think anybody saw this coming, even last year…We believe that about [40% of working hours] could be impacted by generative A.I. We have done some research to show which industries will be most impacted—like banking and insurance—and which will see less impact—like energy and natural resources. But even in those less-impacted industries, we think that 20% to 25% of the workforce will be impacted.”

—Joe Depa, Global Lead for Data & A.I., Accenture

“Definitely, it’s a game changer.”

—Alexander Statnikov, Seller Experience, Square Capital

“Every single day we talk to thousands of our customers. But we have no clue what our customers are telling us, because we are dependent on what contact center employees are pressing as buttons…So there is a massive opportunity to convert voice into knowledge.”

—Andreas Athanasopoulos, Deputy CEO, Eurobank Ergasias SA

“There are tons of benefits (in banking)…A number of emails can be sent right to clients that can be done in seconds as opposed to hours.”

—Kyle Corcoran, Managing Director, Morgan Stanley

“The development ecosystem will get disrupted big time…I believe that a developer five years from now will be about 50% more efficient than they are today.”

—Omri Morgenshtern, Chief Executive Officer, Agoda

But in spite of the rush to adopt, there are still significant concerns about using the new technology in a responsible way:

“Trust is paramount in enterprise A.I. And when we say trust, we mean providing data security, accounting for privacy, avoiding hallucinations, toxicity, bias, ethics concerns, etc. This is essentially creating quite a bit of a trust gap…So we think about a human in the loop as being a prerequisite.”

—Rahul Auradkar, EVP, Salesforce

If you are worried about losing your job to generative A.I., read the advice marketing pro Aliza Licht shared with the Fortune Connect Fellows last week here. And if you are eager to stay on top of the latest in A.I., apply to attend Fortune Brainstorm A.I. Dec. 11-12 in San Francisco here.

More news below. 

Alan Murray
@alansmurray
alan.murray@fortune.com

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AROUND THE WATERCOOLER

Dropbox CEO on what differentiates A.I. and the human brain: Computers can handle loads of information and not get tired by Phil Wahba

A messaging app startup that raised $200M from SoftBank and others is shutting down because 95% of its users were fake by Steve Mollman

Gen Z workers came of age amid the pandemic—and now quitting their job is always front of mind by Prarthana Prakash

Amazon’s ‘dark patterns’: These six design tricks make it almost impossible not to sign up for Prime when you buy something, the FTC says by Andrea Guzman

The office real estate crash will be so sharp and deep that Capital Economics thinks office values are unlikely to recover by 2040 by Alena Botros

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This edition of CEO Daily was curated by Nicholas Gordon. 

Correction, June 28, 2023: This story has been updated to accurately reflect Accenture's research on A.I.; large language models will impact 40% of working hours, not 40% of the workforce.