• Sundar Pichai said he uses AI agents to track Google's model development and internal discussions.
• The bots summarize updates and monitor how Google's computing resources are used.
• Pichai said humans still make consequential decisions about resource allocation.

Even Google's CEO needs help keeping up with Google.

On the Sources podcast released Wednesday, Sundar Pichai described to host Alex Heath how he delegates some of the information-gathering that comes with running the tech giant.

“It could easily take me an hour a day to kind of catch up, what's happened in the last 24 hours, right?" Pichai said. "But now I have agents running which summarize and bring that information to me. I can still go deeper, and I do so often."

Pichai said that his AI agents give him a way to "understand the model development arc," figure out how Google's computing resources are being used, and follow threads spread across numerous internal chat groups without having to read through every conversation himself.

“Similarly, there are agents with telemetry into our compute usage by product area, efficiency, utilization, and giving me inputs and insights, you know," Pichai added. "I think it's made all of us, you know, be better at what we do."

That doesn't mean Pichai has handed over the important calls to AI. He said humans — including himself — remain directly involved in consequential decisions about allocating computing resources.

Managing agents is becoming a skill in its own right, giving some workers a new set of headaches, from checking the bots' output to preventing them from duplicating work or straying beyond their assignments. Business Insider previously reported that the need to manage agents is making everyone a boss without higher pay.

Delegating to bots doesn't necessarily make work easier, either. A Cisco engineering director who manages more than 10 agents told Business Insider that overseeing them involves more task switching and can make work feel more intense without shortening his days.

For the Google CEO, however, continuous work is a plus.

"So because your agents, they're running in the cloud, they're running 24/7, they have your context, and so they can pick up things where you left off," Pichai said. "It's a continuum there. By the time it's doing that, you would be applying yourself to the next problem and so on."

• AI is changing how executives oversee their companies, Eric Schmidt said on the "In Good Company" podcast.
• Google's former CEO described several ways execs he knows use AI agents to manage staff.
• He described one company that uses AI assistants to ensure that staff are following its core values.

Eric Schmidt thinks the CEO of the future will have an AI assistant that can see across the entire company. For employees whose job is to keep a sprawling business coordinated, that could be bad news.

In an episode of the "In Good Company" podcast, the former Google chief executive described assistants that check whether company activity aligns with a leader's values, follow up on projects, and help identify ways to increase profits.

He argued that the technology could make businesses faster and flatter, with fewer people needed to plan, relay information, and move numbers around.

Schmidt sees little time for companies to adjust. He said competition in AI is fiercer than the PC-versus-Mac or Android-versus-iPhone battles: a model can take roughly six months to build, another two to test, and then be overtaken within five months of release.

"Time compresses every cycle," he said.

He also rejected the idea that AI is a bubble, pointing to Anthropic's rapid revenue growth. Schmidt said the company had grown faster than a record set during his time at Google, calling it "real money with real customers."

The changes he envisions are already visible in smaller experiments, he said. Schmidt gave the example of two founders he knows who ask an AI assistant every Friday to flag anything happening at their company that conflicts with their values.

Another executive created an AI version of himself that checks on an employee's progress, gives him instructions, and responds when he needs help, Schmidt said. That exchange sounded potentially abusive and worried him, he added, though he also saw how it sped up the executive's decisions.

Schmidt said his days as CEO were consumed by meetings, 12 hours a day, five days a week, as he listened to people explain projects and decisions. He thinks AI platforms can eliminate much of that "coordination tax": the effort of gathering updates, passing them upward, and keeping teams aligned.

For a company with 10,000 employees, Schmidt guessed AI could leave "a couple of thousand people who you don’t need."

He cited a friend whose fast-growing company cut 20% of its staff, including the "glue people" who handled planning and coordination. The friend later told Schmidt he had received death threats over the cuts.

Schmidt said companies would still need people who build products, make sales, speak with regulators, and lead teams. His advice to workers whose roles were disappearing was that executives should transition them "legally and humanely."

• Chris Williams was the VP of HR at Microsoft and is now an advisor and consultant.
• Williams uses a broad range of AI tools and encourages his clients to do the same.
• "Perhaps you'll find, as I did: AI can be better at deletion than creation," he says.

Practically every company is making AI tools available to their employees. As the former VP of HR at Microsoft and a leadership advisor with over 50 years of business experience, I'm amazed at how quickly this rollout has progressed.

Some people are all in, using the tools for nearly everything they do. Others have barely stuck their toes in the AI waters. I've been using a broad range of AI tools and encourage my clients to do the same.

AI isn't without controversy, and if someone is strongly against using it — for whatever reason — I'm not going to convince them otherwise.

But if you're wondering how and why you should use these tools, I'm here for you. Let's talk about three ways I advise all my executive clients to use AI effectively in the workplace.

1. Use AI as a second opinion

Use AI as a way to see things you might not have seen. Ask it, "What am I missing?"

I agree with many that AI is lousy at most creative efforts. Whether written or visual, AI results can be generic, mediocre, and often embarrassing. The output usually deserves the "AI Slop" label it gets. But to dismiss it entirely misses a core value.

AI is useful with, perhaps even because of, that generic, often obvious other perspective.

It can be amazingly helpful to simply ask: what am I missing? Since AI has a tendency to agree with me, I explicitly ask for pushback: "review this and tell me what I'm missing, tell me where I'm wrong." The fact that AI is so obvious, so average, is actually a core value here. I'm often surprised at the points I missed and the viewpoints I overlooked.

Even if AI doesn't find things you missed, a contrarian angle can be very helpful to shore up your own case. You'll be able to say, "Yes, I considered those things, and here's why my take on this issue is better."

In that way, AI can also help you prepare for your discussions with colleagues. With so many letting AI draft their arguments, it's very valuable to see their perspective in advance.

So no, I don't let AI make my case, but I always look for another perspective in what I do — wherever it comes from. Having a tool that can give me that on a moment's notice is incredibly useful.

2. Ask AI to summarize dense information

Long before AI, we all had that colleague who always told you far more than you needed to know. With some now using AI heavily, it can frankly be overwhelming.

You ask a simple question and get a blizzard of AI-generated noise in response. AI can be the worst over-explainer when simply left to run. You see the results in a seven-page response.

When I'm faced with one of these walls of text, I've learned there are really only two ways to respond. I can, and often do, ask the person to try again. What does this all really mean? Can you summarize your point in a couple of sentences? I occasionally get snarky and ask for the "non-AI slop" version.

Another way to deal with this is to ask AI to summarize it, whether AI tools or a wordy colleague wrote it. Importantly, I don't trust the AI summary to be the full explanation, but it helps me understand the key points. Which I then work to find in the original blizzard response.

Yes, this is a little circular. After all, why not just have the two AI systems have the discussion? Leave me out of it. But in a world where it seems everyone has a hard time getting to the point, any tool to cut through the noise is welcome. And AI is very good at that.

3. Let AI help you with tasks

In a similar vein, one thing AI does incredibly well is organize. This kind of rote task of sorting, filtering, and filing is right in the sweet spot for most AI systems.

I'm wary of letting AI systems automate tasks like filtering or filing things without my supervision. I'd never let an AI system automatically send emails, texts, or documents without my careful review. But I often have AI systems help me sort through mountains of accumulated debris.

I recently moved to a new computer system and had AI review what I was planning to move over. I discovered decades of accumulated cruft. Simply from a comprehensive list, I found gigabytes of programs, files, and settings, 90% of which I just left behind.

So if you have 8,000 emails in your inbox, or a documents folder that has grown a second life, let an AI system take a look for you. Don't just tell it to "deal with it." Your judgment is needed.

Rather, have it give you a review of it and another perspective. And once you've reviewed it, perhaps you'll find, as I did: AI can be better at deletion than creation.

So when your company rolls out the next new AI, use those tools to your advantage. AI can help you see another perspective, find the important points in the blizzard, and cut through the mess. I've embraced AI, use it with great care, and encourage everyone to do the same.

• Anthropic published new surveys comparing its staffers' sentiments to those of US workers.
• The AI startup's employees expect the tech to change work and the economy far more dramatically.
• Most Anthropic employees guessed that unemployment would top 12% in 2030.

Anthropic employees believe that AI will make their labor obsolete. Most US workers don't see their jobs that way at all.

The AI company published research on Friday that compares surveys with US adults against an internal poll of 1,334 Anthropic employees. Most of the Anthropic staffers said AI will handle at least 80% of their jobs by 2030, while only about 5% of the US workers felt the same.

The research, titled "The AI expectations gap," shows the chasm between how the employees at the AI startup feel and how other American adults feel. Anthropic workers are far more optimistic about the progress of AI capabilities, how much it's already saving time, and how fast the economy will grow.

The median Anthropic employee said that by the end of 2030, they expect AI to handle 95% of the work of building a new AI model.

Peter McCrory, Anthropic's chief economist, wrote on X that the views might help outsiders prepare for more capable AI systems.

"We're publishing this research because Anthropic runs roughly a year and a half ahead of the economy on AI adoption, so what happens at Anthropic could be a leading indicator for the broader world," he said.

Anthropic workers expect higher unemployment and extreme GDP growth

Anthropic's surveys examined how workers already use AI and how they think it will change.

"US adults and Anthropic staff largely agree about what AI can do today," the researchers wrote. "However, they disagree about how quickly it will improve, how widely it will be used, and how large the productivity gains measured by time saved will be."

There are a few possible explanations for the discrepancies. Anthropic employees have larger budgets for the tools and often get access to unreleased models. US workers, on average, are more likely to work with their hands or in a service industry.

The researchers found that workers in manual trades, production, and transport thought AI would handle the least of their work by 2030, compared with Anthropic staffers, tech workers, and respondents in business and finance.

Most Anthropic employees surveyed said that they expect the unemployment rate to top 12% in 2030. The majority of the US workers thought it would hover around or under 8%. It's currently 4.2%.

So far, researchers have found mixed evidence on AI disrupting the job market — a Yale team recently found it had mainly changed jobs, and had "no connection" to changes in unemployment.

The Anthropic researchers also compiled survey responses to estimate predictions on economic growth. Based on their answers, the median US adult's guess for GDP growth in 2030 was 5.4%, compared with 17.1% among Anthropic employees. The country's GDP grew by 2.2% last year.

Anthropic's staffers are following their leader

Anthropic's CEO, Dario Amodei, has become one of the industry's most closely watched voices on labor upheaval. In March of 2025, he said he expected AI to write 90% of code within 6 months, and "essentially all of the code" within the year. He made more headlines that May, telling Axios that AI could wipe out half of entry-level white-collar jobs within five years and lift unemployment to 10% or 20%.

Amodei expanded on that claim in a later essay, writing that he expects AI to be different from prior technological changes. He wrote that he expects an "unprecedented" short-term shock to labor, and that the economy will grow dramatically.

"AI isn't a substitute for specific human jobs but rather a general labor substitute for humans," he wrote.

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• OpenAI's Alexander Embiricos said the AI era gives a choice: work more, or work less.
• He's in charge of Dots, the company's new always-on work assistant.
• AI is often pitched as freeing up time. Embiricos responded to the idea that it might add more work.

As the competitive AI race pushes tech workers into long hours, the head of OpenAI's new Dots product says AI gives people another option: work a whole lot less.

Alexander Embiricos, who leads OpenAI's enterprise product and helms the new Dots agent tool, told a crowd at TechCrunch's Disrupt conference on Thursday that AI's capabilities have created something of a fork in the road for workers. You can grind to meet the moment. Or you can use AI to kick your feet up a little.

"We basically have a lot more choice now," he said.

Embiricos made the comments after a reporter asked about when AI systems will actually deliver more free time. The reporter shared an anecdote where an OpenAI employee used a ChatGPT mobile feature to work in their car and on a plane — not exactly liberated by the new tech.

Embiricos said that the moment has already arrived where a worker can "outsource" tasks to AI and do less work. Then again, some people are so excited about AI's potential that they feel like it's an "interesting, ripe moment" to put in extra hours.

"I think that's why a lot of people are motivated to work very hard right now. That includes myself," he said. "But I think actually there is this choice, and there's totally this other setup where you could delegate a ton more things."

OpenAI is billing its Dots tool as a workplace assistant, always on and capable of proactively handing tasks and sorting to-dos. Embiricos uses his Dot often in Slack, he said, engaging on various threads.

His perspective illustrates how early companies are in their journey to adopt AI tools. Most companies have not yet automated their work tasks, and many workers are still debating how much to use the tools. Early AI adopters, meanwhile, can sprint through some work that used to take days or weeks, especially in software engineering.

Embiricos summed up the situation he feels workers are in: "You either choose: do you expand the ambition of what you can do, or do you do less? I do think we're there."

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