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Artificial intelligence tools that answer questions or generate text on request have become standard in many offices. The newer category of AI software is built around a different premise: It takes multiple steps, interacts with outside programs, and carries out tasks from start to finish without requiring a new instruction at every stage.

That shift gives the technology more practical utility. It also creates a problem that simpler AI tools do not face.

When a system operates with meaningful autonomy across several steps, the consequences of an error or an unauthorized action may be several layers in before anyone catches them. That is a different kind of exposure than a chatbot that delivers a wrong answer to a direct question.

Microsoft CEO Satya Nadella said trust has become the central challenge as AI moves from answering prompts to carrying out work more independently.

His comments came as Microsoft launched a redesigned Copilot platform on Sept. 25, consolidating its AI offerings into a unified product combining chat, coding, and agentic capabilities, as GeekWire reported.

What the Microsoft CEO said about AI trust

“Trust is going to be the biggest issue for us,” Nadella said in an interview with Yahoo Finance. He said the question he keeps returning to is whether users would be willing to hand AI their login credentials and allow it to act on their behalf without close oversight at each step.

“Can I really trust [AI] with all of my credentials when it does autonomous activity?” Nadella asked. He explained that concern grows when AI operates inside a business, where the systems it can reach and the actions it can take carry far more weight than they would for an individual user working on a personal task.

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The underlying dynamic is a change in how AI relates to the person using it. An AI assistant waits for a request. An AI agent receives a goal, then works through a sequence of steps to reach it, pulling in data, interacting with software and making intermediate decisions along the way.

The end result may be exactly what the user wanted, or it may reflect a misunderstanding several steps back that nobody caught while it was forming.

What the redesigned Copilot includes

The updated platform is organized into three sections.

A Home section handles conversational tasks.

A Code section lets non-technical users build apps and dashboards using AI-powered development tools.

Autopilot is where persistent AI agents operate: Users create an agent by naming it, assigning it a role, and giving it goals, then deploy it for tasks such as project tracking, deadline management, or sending reminders to colleagues.

Each agent runs continuously in the cloud within a company’s Microsoft 365 environment and carries its own identity, memory, and email address. Users can tag an agent directly in Teams or Outlook to pull it into a workflow.

Microsoft 365 Copilot reached 30 million paid seats in July 2026, with net additions doubling quarter-over-quarter, as Fortune reported.

The September launch came as rivals were moving on similar ground. OpenAI introduced its own unified AI application in July, and Meta has been developing an agent platform of its own.

Microsoft’s response was to consolidate what had been a fragmented set of Copilot products into one interface.

The platform routes each request automatically to what it determines is the best available model, choosing between AI systems from OpenAI and Anthropic. Users can also select a model manually, and the company said it plans to add more providers over time.

Nadella said companies should be able to run their own performance evaluations and switch between vendors, treating model selection as a decision they control rather than one built into the platform.

The version of AI Microsoft is building toward requires businesses to hand it access to systems and information they have historically kept tightly controlled.Stephen Brashear / Getty Images

How Microsoft is pricing Copilot

Microsoft is moving toward what it calls a per-seat-plus-consumption billing structure. A standard monthly subscription covers everyday AI work, including conversational tasks and standard Copilot features. Token limits under that plan are ones the company said most users are unlikely to reach.

Customers with heavier workloads can switch to usage-based billing, which covers additional capabilities and the longer, more demanding agentic tasks that draw more from the system.

Administrators can set spending limits to keep those costs within defined budgets. Nadella said the combination is designed to offer broad access while keeping the cost of advanced AI work tied to the value each customer draws from the platform.

He also said usage-based pricing will grow in importance as AI companies pull back from the subsidized rates they used to drive early adoption.

Running AI infrastructure is expensive, and that cost climbs when tasks require multiple model calls or sustained processing time. A flat subscription spreads those costs across a user base. Usage-based billing recovers them from the customers generating them.

The business case that still needs to be made

The version of AI Microsoft is building toward requires businesses to hand it access to systems and information they have historically kept tightly controlled.

Internal data, employee credentials, communication tools, and operational software are all areas where agentic AI could deliver real value. They are also areas where a misrouted action or unexpected behavior is difficult to contain once it has happened.

Microsoft has put governance measures in place to address those concerns. The platform requires explicit permissions before an agent can access a new system, maintains audit logs of agent activity, and runs agents inside isolated execution environments.

Those controls were developed in part in response to recent AI security incidents, Fortune reported, a concern that grows more serious when agents operate inside business networks with access to real data and real systems.

Whether those measures hold up will depend on how Autopilot agents perform across a wide range of business environments.

An agent that monitors and flags is useful. An agent that sends communications, modifies records, or takes actions on behalf of employees is held to a higher standard. Microsoft can show that Copilot works as described.

Businesses deploying it across real operations, with real employee credentials and real internal systems, will reach their own conclusions.

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Microsoft employees are facing another round of job cuts.

The latest reductions come less than three months after the technology giant announced one of its biggest workforce restructurings of the year.

On July 6, Microsoft said it would eliminate about 4,800 roles, representing roughly 2.1% of its global workforce, as it redirected people and investments toward what it described as its highest priorities.

Most of those cuts fell within Microsoft’s commercial business and Xbox organization.

The company also warned employees at the time that the restructuring was not finished, saying there would be “more changes ahead.”

The July cuts followed other attempts by Microsoft to shrink its workforce without relying entirely on layoffs.

As TheStreet previously reported, Microsoft had offered voluntary buyouts to some senior-level U.S. employees earlier in the year. 

By July, Microsoft said more than 30% of eligible employees had chosen to participate in its voluntary retirement program. 

The company also said it had moved more than 4,000 employees into new roles over the prior year.

But the reductions continued.

A WARN notice filed in Washington in July showed that 605 Puget Sound-area positions were being eliminated as part of that round.

This included 493 positions tied to Microsoft facilities and another 112 remote positions in the region. Those cuts were scheduled to take effect on Sept. 4.

Now, another round is taking shape.

Microsoft cuts another 277 jobs in Puget Sound

Microsoft began cutting roughly 500 additional jobs on Sept. 22, according to Business Insider.

Most of the reductions will affect its Xbox gaming operation, and a smaller number will affect areas including cloud and artificial intelligence.

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The company has been working toward reducing the Xbox workforce by roughly 20% by the end of its fiscal year.

The new WARN filing reviewed by TheStreet provides a clearer picture of how much of this latest round is landing in Washington.

Microsoft is permanently eliminating 277 positions in the Puget Sound region, including 252 positions at its facilities at One Microsoft Way in Redmond and another 25 remote positions based in the region.

Employees were notified on Sept. 22, and all 277 positions are scheduled to be eliminated on Nov. 21.

Microsoft said the facilities themselves will not close, although some of the affected positions could be moved to Microsoft operations elsewhere.

The filing also shows that the reductions are not concentrated in a single job type.

Affected positions include software engineering, game design, game production, art, technical writing, product marketing, product management, data science, business management, and other corporate functions.

The local numbers do not represent Microsoft’s full global layoffs. 

Microsoft continues its restructuring plans. georgeclerk / Getty Images

Microsoft’s restructuring primarily affects Xbox

Gaming accounts for much of Microsoft’s latest reduction, but the changes are part of a much broader reset of the Xbox business.

In July, Microsoft described the changes as the “most significant restructure in XBOX history.”

The company said it planned to reduce the division by approximately 3,200 roles throughout fiscal year 2027. 

About 1,600 positions were eliminated when the restructuring was announced, while four studios were also slated to leave Xbox under new management.

Microsoft said the changes were necessary because the Xbox business was operating at margins three to 10 times lower than comparable platform and publishing businesses. 

The company said it entered the current console generation with a smaller installed base and higher cost structure, while growth from Game Pass, its multi-platform strategy, and a broader content portfolio failed to come as quickly as expected.

The restructuring also goes beyond headcount.

Microsoft said it would reduce management layers within parts of Xbox to no more than five, and as few as three where possible. 

The company said some teams had grown to as many as 14 management layers, while its platform organization was 40% larger than at the beginning of the current console generation, despite declines in its player base and playtime. 

Microsoft also plans to cut vendor spending by 50%.

The company is also reshaping its studio portfolio. 

Compulsion Games and Double Fine Productions are transitioning back to independent status, while Ninja Theory and Undead Labs have entered agreements to move to new ownership. 

Microsoft said additional reductions were taking place across Activision, Bethesda/ZeniMax, Blizzard, King, Mojang, and Xbox Game Studios, although no publicly announced first-party games were being canceled as part of the changes.

The latest September reductions, therefore, represent another stage of a restructuring Microsoft had already warned would unfold over the course of the year.

Why Microsoft’s Puget Sound cuts matter

Puget Sound broadly refers to the Seattle-area region of western Washington, which includes Redmond, Bellevue, Seattle, and surrounding communities.

For Microsoft, however, this is more than another employment market.

Redmond is the company’s home base.

Microsoft’s global headquarters sits on a roughly 500-acre campus in Redmond with more than 125 buildings.

Microsoft also describes Redmond as the place “where it all started” and says the company has played a significant role in the development of the broader Seattle area.

That makes repeated reductions in Puget Sound particularly notable because they are reaching the geographic center of Microsoft’s operations rather than only smaller satellite offices.

The region has also been absorbing job reductions from other major technology employers.

An Axios review found at least 20 rounds of layoffs announced across the Seattle-area technology sector this year. 

Through Aug. 18, employers had filed notices covering more than 9,000 planned layoffs in King County and surrounding counties, with about three-quarters of them in the information sector.

Microsoft’s latest cuts add another round to that total.

Big Tech cuts jobs while restructuring around AI

In July, Chief People Officer Amy Coleman said the positions being eliminated were not being replaced by AI, but added that “AI is changing how work gets done,” including by automating some everyday tasks.

The restructuring is nevertheless unfolding while Microsoft pours significantly more money into the infrastructure needed for cloud computing and AI.

Microsoft reported nearly $116 billion in additions to property and equipment during fiscal 2026, up from about $64.6 billion the previous year. 

The company’s annual filing says investments in cloud and AI infrastructure are increasing costs as Microsoft adds data centers, servers, networking equipment, and other computing capacity.

Microsoft is hardly alone.

Oracle is also in the middle of another major restructuring. 

WARN filings reviewed by TheStreet document at least 2,578 Oracle job cuts across the U.S. this year, including a recent second round affecting roughly 800 workers in Washington and California.

Those reductions are happening as Oracle dramatically increases spending on data centers and AI infrastructure, with the company expecting capital expenditures of $90 billion to $95 billion in its current fiscal year.

Meta has also eliminated thousands of positions this year while reorganizing parts of the company around artificial intelligence and managing growing infrastructure costs.

Amazon has followed a similar path, eliminating thousands of corporate positions while outlining roughly $200 billion in planned capital spending as it expands AI and cloud capacity.

The reasons behind individual layoffs differ from company to company, and Microsoft has explicitly said its eliminated roles are not simply being replaced by AI.

But across the technology sector, the workforce picture is increasingly showing the same two changes happening at once. Companies are committing enormous sums to computing infrastructure while reassessing organizational structures, management layers, and the jobs they need going forward.

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Most people have hidden a spare key under a doormat at some point. It feels safe because nobody walks down the street checking every doormat.

AI agents do, and they never get bored. That shift in who does the checking helps explain why OpenAI has stopped training its most capable models for the second time in three months.

The company said it will resume training “only when we are confident that we have additional safeguards” in place, the Associated Press reported.

The pause came hours after OpenAI disclosed that its agents acted unexpectedly on several U.S. government websites this summer. The first halt followed July’s breach of AI platform Hugging Face by OpenAI agents.

The keys were already lying in plain sight

The government incidents share a detail that is easy to miss. At the Education Department, OpenAI agents found API developer keys to government data, according to the AP. At the Census Bureau, agents used login credentials they found online to pull public data, CNN reported.

That pattern runs through OpenAI’s own disclosures. The company’s incident tracker lists “use of exposed credentials” as a category of agent behavior, and it has notified dozens of affected third parties. A separate OpenAI report describes an internal model searching public GitHub repositories for leaked API keys during training.

The Hugging Face breach began the same way. On July 10, an agent found 14 publicly exposed credentials with write access and shared them with other agents, according to OpenAI’s technical account.

The agents misbehaved, but people left the doors unlocked. That makes this a security hygiene story, too, and no training pause fixes it.

OpenAI paused training of its most capable models for the second time in three months after its agents probed U.S. government websites.SOPA Images / Getty Images

Government sites attract agents because they are trusted

Washington did not land in this story by accident. An OpenAI spokesperson told CNN that “our models often turn to them as authoritative sources of public information.” The credibility that makes .gov pages useful also puts them on the front line of agent traffic.

Persistence turns that traffic into risk. OpenAI’s Hugging Face review found its agents seldom abandoned tasks, even impossible ones, and took riskier paths as they spent more effort.

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Australian Prime Minister Anthony Albanese said an OpenAI agent that breached a Medicare statistics portal in June “didn’t accept no for an answer,” Reuters reported.

The latest trigger fits the same mold. On Sept. 20, an agent stuck on a search task used a DNS gap to query an outside chatbot, according to OpenAI’s incident report. An automatic shutdown failed, and staff stopped the run manually about 2.5 hours later, Fortune reported.

Federal damage so far appears limited. “No nonpublic information was accessed,” the SEC said, and the Education Department found no impact on its website or databases.

Pausing is becoming part of how OpenAI operates

OpenAI is private, so most investors hold it indirectly. Microsoft (MSFT) owned roughly 27% of OpenAI after its October 2025 restructuring, Bloomberg reported. That makes OpenAI’s development pace a direct input into how Wall Street values Microsoft’s OpenAI stake.

The delays carry a real price. OpenAI said its summer pause, including a hold on its largest planned training run, came “at significant cost and delays to frontier research.” Now the company says it expects to hit pause again as its models improve.

CEO Sam Altman told Fortune this month that “right now would be an ill-advised moment to go public,” ruling out a 2026 IPO. For future shareholders, safety stops now resemble weather delays at an airline: recurring, costly, and impossible to schedule.

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Voluntary brakes leave a gap Washington hasn’t filled

Federal policy is heading the other way. President Donald Trump agreed with Chinese President Xi Jinping this week to share information on AI dangers, the AP reported. Yet he told reporters the U.S. is not “putting on brakes.”

That leaves the brakes in private hands. OpenAI decides when to stop, what to disclose, and when to warn the people affected. Australia was not notified of its June breach until Sept. 10, and Albanese criticized the delay, according to CNBC.

Outside researchers are filling part of that gap. AI evaluator Transluce flagged an attempted hack on an Education Department site, which OpenAI has not confirmed. Transluce also found rogue activity on government sites in five states, some not clearly tied to OpenAI, CBS News reported.

That last detail widens the lens. With rivals Anthropic, Meta, and Google also reporting agents going rogue, does that mean going rogue is a new benchmark for measuring the capability of AI agents?

Much of today’s web security quietly assumes attackers are scarce and eventually give up. Agents break both assumptions at once. OpenAI can harden its own sandbox, but it cannot collect every key left on a public server.

Australia is now checking for more breaches, Reuters reported. The open question is whether Washington hunts for its own doormat keys before the next pause or after it.

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