The post OpenAI says its AI tools shave up to 60 minutes off employees’ daily tasks appeared on BitcoinEthereumNews.com. OpenAI says its AI tools now cut 40 to 60 minutes from daily work across many jobs. The claim comes from a new company survey run inside real workplaces, not from tests in labs. The data lands at a tense moment, three years into the AI boom, when many leaders still question what the tech truly gives back. Workers in data science, engineering, communications, and accounting logged the biggest time cuts. The results focus on task speed, not job loss. OpenAI tracked how long routine work takes with and without its software inside daily workflows, and allegedly, the main gains came from writing, research checks, light coding, and document tasks. The survey covered 9,000 employees across 100 companies. All responses came from workers three to four weeks into using the tools on the job. 75% said AI improved either their work speed or the quality of what they deliver. Heavy users who mixed advanced models and multiple tools saw the largest gains. Casual users saw smaller changes. OpenAI also tracked results by job type and industry to map where time cuts showed up most. Workers cut task time across key roles Time savings did not show up the same across every role. Jobs in data science, engineering, communications, and accounting recorded the largest drops in task time. In those roles, workers said the tools handled drafts, checks, summaries, and basic analysis in minutes instead of nearly an hour. The survey landed while doubts still hang over AI payoff. In August, researchers at the Massachusetts Institute of Technology said most organizations saw zero return from their generative AI spending. In the next month, teams at Harvard and Stanford said many professionals now push out what they called workslop, meaning AI work that looks clean but lacks depth. Those studies fed fears… The post OpenAI says its AI tools shave up to 60 minutes off employees’ daily tasks appeared on BitcoinEthereumNews.com. OpenAI says its AI tools now cut 40 to 60 minutes from daily work across many jobs. The claim comes from a new company survey run inside real workplaces, not from tests in labs. The data lands at a tense moment, three years into the AI boom, when many leaders still question what the tech truly gives back. Workers in data science, engineering, communications, and accounting logged the biggest time cuts. The results focus on task speed, not job loss. OpenAI tracked how long routine work takes with and without its software inside daily workflows, and allegedly, the main gains came from writing, research checks, light coding, and document tasks. The survey covered 9,000 employees across 100 companies. All responses came from workers three to four weeks into using the tools on the job. 75% said AI improved either their work speed or the quality of what they deliver. Heavy users who mixed advanced models and multiple tools saw the largest gains. Casual users saw smaller changes. OpenAI also tracked results by job type and industry to map where time cuts showed up most. Workers cut task time across key roles Time savings did not show up the same across every role. Jobs in data science, engineering, communications, and accounting recorded the largest drops in task time. In those roles, workers said the tools handled drafts, checks, summaries, and basic analysis in minutes instead of nearly an hour. The survey landed while doubts still hang over AI payoff. In August, researchers at the Massachusetts Institute of Technology said most organizations saw zero return from their generative AI spending. In the next month, teams at Harvard and Stanford said many professionals now push out what they called workslop, meaning AI work that looks clean but lacks depth. Those studies fed fears…

OpenAI says its AI tools shave up to 60 minutes off employees’ daily tasks

OpenAI says its AI tools now cut 40 to 60 minutes from daily work across many jobs. The claim comes from a new company survey run inside real workplaces, not from tests in labs.

The data lands at a tense moment, three years into the AI boom, when many leaders still question what the tech truly gives back.

Workers in data science, engineering, communications, and accounting logged the biggest time cuts. The results focus on task speed, not job loss.

OpenAI tracked how long routine work takes with and without its software inside daily workflows, and allegedly, the main gains came from writing, research checks, light coding, and document tasks.

The survey covered 9,000 employees across 100 companies. All responses came from workers three to four weeks into using the tools on the job. 75% said AI improved either their work speed or the quality of what they deliver.

Heavy users who mixed advanced models and multiple tools saw the largest gains. Casual users saw smaller changes. OpenAI also tracked results by job type and industry to map where time cuts showed up most.

Workers cut task time across key roles

Time savings did not show up the same across every role. Jobs in data science, engineering, communications, and accounting recorded the largest drops in task time.

In those roles, workers said the tools handled drafts, checks, summaries, and basic analysis in minutes instead of nearly an hour. The survey landed while doubts still hang over AI payoff.

In August, researchers at the Massachusetts Institute of Technology said most organizations saw zero return from their generative AI spending. In the next month, teams at Harvard and Stanford said many professionals now push out what they called workslop, meaning AI work that looks clean but lacks depth.

Those studies fed fears of a fresh tech bubble as companies spend billions with no firm payoff path. OpenAI and other AI firms answered with their own reports to show daily business impact.

Last week, rival Anthropic said its Claude model cut task time by 80%, based on 100,000 user conversations. None of those reports went through peer review. The fight over what AI truly returns is now playing out in public numbers.

Enterprises scale paid use at speed

OpenAI now reports more than one million businesses paying for its enterprise AI tools. Paid seats for ChatGPT at work now total seven million users. The company says business adoption now moves as fast as consumer growth, and in some cases even faster. Chief Operating Officer Brad Lightcap spoke on the clash between outside research and company data.

“There’s a lot of studies flying around saying this, that and the other thing,” Brad said. “They never quite line up with what we see in practice.” He added that enterprise use is spreading across teams, not staying locked inside IT.

Usage behavior also shifted. Workers who relied on advanced models and mixed several tools in one workflow logged the strongest gains.

The report also shows people using AI for work they did not touch before. Employees in engineering, IT, and research, who do not hold technical roles, showed a 36% increase in coding‑related messages over the past six months.

Chief economist Ronnie Chatterji tied that shift to new abilities inside offices. “Three out of four people are now saying, ‘I can do things I couldn’t do before,’” Ronnie said. He added that this part of the work shift often gets ignored when AI is debated.

The smartest crypto minds already read our newsletter. Want in? Join them.

Source: https://www.cryptopolitan.com/openai-60-minutes-off-employees-daily-tasks/

Market Opportunity
null Logo
null Price(null)
--
----
USD
null (null) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

The Stark Reality Of Post-Airdrop Market Dynamics

The Stark Reality Of Post-Airdrop Market Dynamics

The post The Stark Reality Of Post-Airdrop Market Dynamics appeared on BitcoinEthereumNews.com. Lighter Trading Volume Plummets: The Stark Reality Of Post-Airdrop
Share
BitcoinEthereumNews2026/01/19 13:16
Headwind Helps Best Wallet Token

Headwind Helps Best Wallet Token

The post Headwind Helps Best Wallet Token appeared on BitcoinEthereumNews.com. Google has announced the launch of a new open-source protocol called Agent Payments Protocol (AP2) in partnership with Coinbase, the Ethereum Foundation, and 60 other organizations. This allows AI agents to make payments on behalf of users using various methods such as real-time bank transfers, credit and debit cards, and, most importantly, stablecoins. Let’s explore in detail what this could mean for the broader cryptocurrency markets, and also highlight a presale crypto (Best Wallet Token) that could explode as a result of this development. Google’s Push for Stablecoins Agent Payments Protocol (AP2) uses digital contracts known as ‘Intent Mandates’ and ‘Verifiable Credentials’ to ensure that AI agents undertake only those payments authorized by the user. Mandates, by the way, are cryptographically signed, tamper-proof digital contracts that act as verifiable proof of a user’s instruction. For example, let’s say you instruct an AI agent to never spend more than $200 in a single transaction. This instruction is written into an Intent Mandate, which serves as a digital contract. Now, whenever the AI agent tries to make a payment, it must present this mandate as proof of authorization, which will then be verified via the AP2 protocol. Alongside this, Google has also launched the A2A x402 extension to accelerate support for the Web3 ecosystem. This production-ready solution enables agent-based crypto payments and will help reshape the growth of cryptocurrency integration within the AP2 protocol. Google’s inclusion of stablecoins in AP2 is a massive vote of confidence in dollar-pegged cryptocurrencies and a huge step toward making them a mainstream payment option. This widens stablecoin usage beyond trading and speculation, positioning them at the center of the consumption economy. The recent enactment of the GENIUS Act in the U.S. gives stablecoins more structure and legal support. Imagine paying for things like data crawls, per-task…
Share
BitcoinEthereumNews2025/09/18 01:27
Nasdaq Company Adds 7,500 BTC in Bold Treasury Move

Nasdaq Company Adds 7,500 BTC in Bold Treasury Move

The live-streaming and e-commerce company has struck a deal to acquire 7,500 BTC, instantly becoming one of the largest public […] The post Nasdaq Company Adds 7,500 BTC in Bold Treasury Move appeared first on Coindoo.
Share
Coindoo2025/09/18 02:15