Microsoft is working to address an ongoing Exchange Online outage that is preventing customers from accessing their mailboxes and calendars.

“We’re investigating reports of some users experiencing issues when accessing their Exchange Online mailbox via one or more connection methods,” Microsoft said when it acknowledged the issue at 06:42 AM UTC.

As Microsoft explained in a Microsoft 365 admin center update under EX1253275, Outlook on the web, Outlook desktop, Exchange ActiveSync, and other Exchange Online connection protocols are all affected by this outage.

While the company said that “telemetry continues to show the issue is no longer occurring for affected users” and that its engineers are “continuing to monitor service health to assess whether any additional actions are required to ensure sustained recovery,” customers are still reporting issues accessing their email.

Right before publishing, the Office.com web portal was down and displayed the message “We are sorry, something went wrong. Please try refreshing the page in a few minutes.”

​Microsoft is also investigating a separate outage affecting the Microsoft 365 Copilot web sign‑in page and Copilot web clients at office.com/chat and m365.cloud.microsoft, m365.cloud.microsoft/chat, and copilot.cloud.microsoft.

Customers who need to use Microsoft Copilot are advised to use one of the application-based Microsoft Copilot services, including the Microsoft Copilot desktop app, Copilot in Microsoft Teams, or Copilot in Office apps.

“We’ve identified that a section of service infrastructure is not processing traffic efficiently. We’re making configuration changes to remediate impact,” the company said in an admin center service alert (MO1253428).

In January, Microsoft mitigated another Exchange Online service outage that intermittently blocked users from accessing their mailboxes via the Internet Mailbox Access Protocol 4 (IMAP4).

Microsoft addressed a similar outage in November that blocked customers’ access to Exchange Online emails via the classic Outlook desktop client.

This is a developing story…

Malware is getting smarter. The Red Report 2026 reveals how new threats use math to detect sandboxes and hide in plain sight.

Download our analysis of 1.1 million malicious samples to uncover the top 10 techniques and see if your security stack is blinded.

Download The Report

• Global PC shipments set for sharp decline as component shortages intensify
• Memory and storage prices surge, forcing vendors to rethink PC strategies
• Budget computers face the steepest shipment losses amid tightening component supply

Anyone planning to purchase a new work PC in the coming months may encounter shrinking availability as supply pressures deepen across the industry, experts have warned.

Research from Omdia indicates global shipments of desktops, notebooks, workstations, and even some mini PC designs could drop sharply in 2026.

Personal audio is no longer some gateway drug into traditional hi-fi. It is the drug. The energy, crowds, and money are here. And judging by the number of legacy high-end brands still trying to figure out how to get into the category, the window may already be closing. The companies already in the pool are doing very well. The ones still standing on the deck trying to appeal to Mrs. Wheeler might want to find a towel. Fast.

Now that CanJam NYC 2026 is in the rearview mirror, that reality feels even clearer.

What unfolded over the weekend inside that packed hotel ballroom wasn’t just another headphone meet. It was a very visible reminder that personal audio has become one of the most dynamic, and crowded corners of the entire hi-fi industry.

This wasn’t a niche gathering of a few hundred die-hards swapping cables and arguing about burn-in. The lines outside the ballroom doors early Saturday morning told a different story. Hundreds of people were already queued up before the doors opened, waiting for the chance to hear the latest headphones, IEMs, DACs, and amplifiers. That kind of turnout doesn’t happen unless the category has real momentum. When thousands show up, it’s time to accept that we’re living in two very different worlds right now in the high-end audio segment.

Credit where it’s due.

The team behind the CanJam Global series knows exactly what it’s doing. Jude Mansilla and Ethan Opolion have spent more than a decade turning what began as a relatively small headphone gathering into some of the most focused and consistently packed audio events anywhere on the calendar.

Not every stop along the way has been a home run. That’s the reality of ever growing event series. But the level of interest in personal audio has never been higher, and a large portion of that momentum can be traced directly back to the ecosystem built around CanJam Global and Head-Fi.

After spending two days walking those rooms in New York, the conclusion feels unavoidable.

Personal audio isn’t the gateway to hi-fi anymore.

For a lot of people walking through those doors, it is hi-fi.

The Good

The enthusiasm at CanJam NYC 2026 was impossible to miss. Packed rooms. Long listening lines. People carrying Pelican cases full of IEMs like they were transporting crown jewels. Personal audio might be the most obsessive corner of the hobby right now, but it’s also one of the most energized.

That said, a little personal space wouldn’t be the worst thing in the world.

There’s a certain breed of attendee who believes the correct way to audition a $3,000 pair of headphones is to hover six inches behind the person already listening. Close enough to fog up the back of your neck. As if the pressure alone will somehow convince you to wrap it up. Five minutes into a track and they’re shifting their weight like TSA agents who missed lunch. Relax. The headphones will still be here when I’m done.

My Saturday started well before any of that.

5 a.m. alarm. Quick shower and shave. Irish Spring for the win. Walk the dog in the dark while staring down the neighborhood red fox that has apparently decided my dog looks like breakfast. Bad decision. Tyrion would tear this furry idiot apart and turn it into a winter jacket.

Bagel run. Coffee run. Daven. Walk to the train station.

Thanks to the ongoing Portal Bridge construction project, NJ Transit has been doing its best to remind those of us living south of Newark that patience is a virtue. My commute from the Jersey Shore into Penn Station clocked in at about 100 minutes. Plenty of time to stare out the window, drink mediocre coffee, read the news from Israel, and think about headphones.

All of this before 7 a.m. on what might have been the nicest Saturday morning in the tri-state in two months.

Because the winter that just crawled out of this region wasn’t some mild seasonal inconvenience. We’re talking snow measured in feet, weeks of frozen tundra that would have looked perfectly at home on Hoth, and winds ripping off the Atlantic like they were personally offended that anyone still lived along the Jersey Shore.

And judging by the crowd already gathering outside the ballroom doors when I arrived, I wasn’t the only one willing to wake up early for this show.

What showed up in New York was serious hardware. Flagship headphones pushing well past the $5,000 mark. Electrostatics that require dedicated energizers. DACs and portable amplifiers with engineering that would have been considered state of the art in traditional two-channel systems not that long ago. The performance ceiling keeps moving higher, and the companies building this gear clearly understand that their audience is paying attention.

Then there were the IEM tables.

An insane number of them.

Everywhere you looked there were cases full of wired in-ear monitors. Universal fits. Custom demos. Multi-driver designs that look like miniature spacecraft. Some companies had entire tables dedicated just to different variations of their flagship IEM lines. It wasn’t just a handful of boutique builders either—established brands and newer players were all leaning heavily into the category.

If anyone still thinks wired IEMs are some niche side hustle inside personal audio, they probably didn’t walk the floor at CanJam this weekend.

And the crowds kept coming.

One of the most impressive things about CanJam NYC 2026 was the constant flow of people moving through the show. Not just a big opening rush and then a slow taper. Waves. All day.

Which is even more remarkable when you consider the location. The hotel sits right in the middle of Times Square, arguably one of the most chaotic intersections of humanity on the planet. Outside the doors you’ve got tourists staring at LED billboards the size of aircraft carriers, Elmos asking for tips, and someone selling $12 hot dogs that probably violate several international treaties.

And inside?

Thousands of people quietly listening to headphones.

Only in New York could you walk out of a room filled with $6,000 electrostatic headphones and immediately get run over by a guy in a Spider-Man costume holding a margarita the size of a fire extinguisher and chanting for the Ayatollah.

The Bad

Not everything about CanJam NYC 2026 was perfect.

The biggest absence was impossible to ignore.

CanJam Honcho Ethan Opolion wasn’t there.

Ethan was stuck at home in Israel because of the ongoing war between America, Israel, and Iran, which made international travel impossible. That’s a tough break for someone who has been a constant presence at these shows since the beginning. In fact, this was the first CanJam he’s missed since the series launched nearly a decade ago.

Considering how much work Ethan and Jude Mansilla put into organizing these events, his absence was definitely felt.

There were also a few notable no-shows.

Focal and Naim didn’t make an appearance this year. That raised a few eyebrows at first, but we now know the reason. They were in the middle of the Barco acquisition, which likely pushed a headphone show in Times Square a little further down the priority list.

Still, their absence was noticeable.

Another surprise was the lack of a presence from Headphones.com, which has become one of the most influential retailers in the personal audio space.

A couple of companies also showed up with smaller footprints than usual.

Dan Clark Audio and Schiit Audio both had scaled-back tables compared to previous years. That was a bit of a bummer. Both companies usually bring a larger spread of gear and draw a steady crowd throughout the day.

And while there was plenty of excellent equipment on display, I’ll be honest about something else.

I didn’t walk away feeling like I had witnessed a lot of earth-shattering innovation.

That doesn’t mean the show lacked interesting products. Far from it.

Companies like Grell, iFi, Chord, Meze Audio, Grado, and HiFiMAN all had new gear worth hearing. Some of it sounded fantastic. Some of it pushed design ideas forward in smaller, incremental ways.

But nothing made me want to sell my firstborn son to the Dothraki as payment and spend the rest of my days beyond the Wall trapped in a frozen hut with Cersei.

And this is only the first part of the “bad.” There’s more.

More of the Bad

Another thing that stood out to me this year had less to do with gear and more to do with the crowd itself.

Having attended CanJams before there even were CanJams; back when they were basically Head-Fi meets, I’ve been genuinely impressed by how the demographics have evolved over the years.

Those early events were…let’s call them special.

Picture small headphone gatherings in dingy hotel mini-ballrooms. The kind of rooms where nobody would ever admit to having their Bar Mitzvah, Bat Mitzvah, or Communion, mostly because the catering trays looked like they came from the “we have glass for a reason” Chinese restaurant next door. A lot of folding tables. Extension cords everywhere. And a crowd that skewed heavily toward white and Asian single or married men who could spend three hours debating driver metallurgy without coming up for oxygen.

Fast forward to the past few CanJam NYC events and the shift had been pretty noticeable.

Still plenty of guys. This is hi-fi after all. But there were far more women in attendance. Women of different ages, backgrounds, and cultures. Some attending with partners. Some clearly there on their own. Young professionals who can absolutely afford this gear. Couples sharing listening sessions. Music lovers who were just as curious about the newest IEM or headphone amplifier as anyone else in the room.

But CanJam NYC 2026 felt a little different.

The crowd this year seemed to tilt back toward the more traditional male-heavy demographic. Plenty of White, Asian, African American, Indian, and Hispanic attendees, but overwhelmingly men of all shapes and sizes. Perhaps even a few too many of the white-haired older audiophiles who make hi-fi shows so inspiring about the future of the hobby.

There was still a lot of youth in the room, which is great. That’s been one of the more encouraging developments at recent CanJam events. Younger listeners discovering personal audio, building systems, and actually caring about sound quality instead of whatever algorithm Spotify decides to shove into their ears that day.

But when the old guard starts showing up in droves, and that includes the older generation of hi-fi journalists born before the Nixon administration…some even before Kennedy, you have to wonder what it really means.

Is that growth?

Or just the same crowd discovering a new category of gear to argue about?

There were women at the show. Absolutely.

But having attended the past four NYC CanJams, this one definitely felt like it had fewer women in attendance than recent years. Whether that’s just a one-year anomaly or something else entirely is hard to say.

Still, it was noticeable.

Something else has been quietly happening alongside the explosion in personal audio.

Physical media is coming back.

Not in some ironic, retro, nostalgia cosplay kind of way. Not because a handful of aging collectors refuse to move on. What I’m observing, both at shows like CanJam and out in the real world is something broader.

It’s multi-generational.

Young listeners discovering vinyl for the first time. Film fans hunting down UHD 4K Blu-rays because streaming services keep editing or removing the movies they want to watch. Readers buying physical books because staring at another glowing rectangle after ten hours of work feels like a punishment, not a reward.

And for some of us, it never really left.

I’ve been buying and collecting books, movies, and music for more than 50 years. It’s not a hobby. It’s part of how my brain works.

Just how important?

I turned 56 last week.

My family offered to buy me hockey tickets as a birthday gift. Given how the Devils and Rangers have been performing lately, tickets are suddenly a lot easier to come by as the NHL season winds down. Normally that would have been an easy “yes.” I’ve played hockey most of my life. I still follow the league obsessively. My brain stores NHL statistics the way other people remember their kids’ birthdays.

But I said no.

What did I want instead?

Books. Movies. Music.

Better than a game. Better than a new watch. Better than just about anything else they could have wrapped in a box.

Because physical media does something that streaming never will.

It stimulates the brain.

The ritual of picking a record. Pulling a disc off the shelf. Opening a book and feeling the paper between your fingers. Your mind engages differently. The senses fire in ways that a scrolling app menu simply can’t replicate.

Streaming is convenient. I use it every day.

But it doesn’t stimulate my brain or frankly my loins, the way physical music does.

And before someone says it, yes, eReaders have their place. I know that better than most. I helped Barnes & Noble launch the Nook between 2009 and 2011. The technology solved real problems and made reading more accessible for a lot of people.

But nothing compares to a physical book.

Not ever.

To sit and read next to the most glorious blonde space princess in the galaxy. To fall asleep watching a movie together pulled from the collection. That’s the dream. Always has been.

And judging by what I’m seeing in record stores, bookstores, from boutique film labels, and the listening habits of younger audiences discovering this stuff for the first time…

I suspect I’m not alone.

Related Reading:

• Best In Show At CanJam NYC 2026: The Headphones, DACs, Amps, And IEMs Everyone Was Fighting To Hear
• Jazz Dispensary At 10, Integrators In The Keys, Wireless Headphones On The Road, Catherine O’Hara, And Sinners Leading The Pack: Editor’s Round-Up
• Culture Wars At The Super Bowl, Meze STRADA’s Curious Tuning, Record Store Day 2026, Hi-Fi Show Overload?: Editor’s Round-Up
• Paramount Wins Warner Bros Battle, Purim, Qobuz Goes To War On AI, Robert Duvall, And Empire Ears Goes Kaput: Editor’s Round-Up
• All CanJam NYC 2026 Coverage

For more than two decades, digital businesses have relied on a simple assumption: When someone interacts with a website, that activity reflects a human making a conscious choice. Clicks are treated as signals of interest. Time on page is assumed to indicate engagement. Movement through a funnel is interpreted as intent. Entire growth strategies, marketing budgets, and product decisions have been built on this premise.

Today, that assumption is quietly beginning to erode.

As AI-powered tools increasingly interact with the web on behalf of users, many of the signals organizations depend on are becoming harder to interpret. The data itself is still accurate — pages are viewed, buttons are clicked, actions are recorded — but the meaning behind those actions is changing. This shift isn’t theoretical or limited to edge cases. It’s already influencing how leaders read dashboards, forecast demand, and evaluate performance.

The challenge ahead isn’t stopping AI-driven interactions. It’s learning how to interpret digital behavior in a world where human and automated activity increasingly overlap.

A changing assumption about web traffic

For decades, the foundation of the internet rested on a quiet, human-centric model. Behind every scroll, form submission, or purchase flow was a person acting out of curiosity, need, or intent. Analytics platforms evolved to capture these behaviors. Security systems focused on separating “legitimate users” from clearly scripted automation. Even digital advertising economics assumed that engagement equaled human attention.

Over the last few years, that model has begun to shift. Advances in large language models (LLMs), browser automation, and AI-driven agents have made it possible for software systems to navigate the web in ways that feel fluid and context-aware. Pages are explored, options are compared, workflows are completed — often without obvious signs of automation.

This doesn’t mean the web is becoming less human. Instead, it’s becoming more hybrid. AI systems are increasingly embedded in everyday workflows, acting as research assistants, comparison tools, or task completers on behalf of people. As a result, the line between a human interacting directly with a site and software acting for them is becoming less distinct.

The challenge isn’t automation itself. It’s the ambiguity this overlap introduces into the signals businesses rely on.

What do we mean by AI-generated traffic?

When people hear “automated traffic,” they often think of the bots of the past — rigid scripts that followed predefined paths and broke the moment an interface changed. Those systems were repetitive, predictable, and relatively easy to identify.

AI-generated traffic is different.

Modern AI agents combine machine learning (ML) with automated browsing capabilities. They can interpret page layouts, adapt to interface changes, and complete multi-step tasks. In many cases, language models guide decision-making, allowing these systems to adjust behavior based on context rather than fixed rules. The result is interaction that appears far more natural than earlier automation.

Importantly, this kind of traffic is not inherently problematic. Automation has long played a productive role on the web, from search indexing and accessibility tools to testing frameworks and integrations. Newer AI agents simply extend this evolution — helping users summarize content, compare products, or gather information across multiple sites.

The issue is not intent, but interpretation. When AI agents interact with a site successfully on behalf of users, traditional engagement metrics may no longer reflect the same meaning they once did.

Why AI-generated traffic is becoming harder to distinguish

Historically, detecting automated activity relied on spotting technical irregularities. Systems flagged behavior that moved too fast, followed perfectly consistent paths, or lacked standard browser features. Automation exposed “tells” that made classification straightforward.

AI-driven systems change this dynamic. They operate through standard browsers. They pause, scroll, and navigate non-linearly. They vary timing and interaction sequences. Because these agents are designed to interact with the web as it was built — for humans — their behavior increasingly blends into normal usage patterns.

As a result, the challenge shifts from identifying errors to interpreting behavior. The question becomes less about whether an interaction is automated and more about how it unfolds over time. Many of the signals that once separated humans from software are converging, making binary classification less effective.

When engagement stops meaning what we think

Consider a common e-commerce scenario.

A retail team notices a sustained increase in product views and “add to cart” actions. Historically, this would be a clear signal of growing demand, prompting increased ad spend or inventory expansion.

Now imagine that a portion of this activity is generated by AI agents performing price monitoring or product comparison on behalf of users. The interactions occurred. The metrics are accurate. But the underlying intent is different. The funnel no longer represents a straightforward path toward purchase.

Nothing is “wrong” with the data — but the meaning has shifted.

Similar patterns are appearing across industries:

• Digital publishers see spikes in article engagement without corresponding ad revenue.

• SaaS companies observe heavy feature exploration with limited conversion.

• Travel platforms record increased search activity that doesn’t translate into bookings.

In each case, organizations risk optimizing for activity rather than value.

Why this is a data and analytics problem

At its core, AI-generated traffic introduces ambiguity into the assumptions underlying analytics and modeling. Many systems assume that observed behavior maps cleanly to human intent. When automated interactions are mixed into datasets, that assumption weakens.

Behavioral data may now include:

• Exploration without purchase intent

• Research-driven navigation

• Task completion without conversion

• Repeated patterns driven by automation goals

For analytics teams, this introduces noise into labels, weakens proxy metrics, and increases the risk of feedback loops. Models trained on mixed signals may learn to optimize for volume rather than outcomes that matter to the business.

This doesn’t invalidate analytics. It raises the bar for interpretation.

Data integrity in a machine-to-machine world

As behavioral data increasingly feeds ML systems that shape user experience, the composition of that data matters. If a growing share of interactions comes from automated agents, platforms may begin to optimize for machine navigation rather than human experience.

Over time, this can subtly reshape the web. Interfaces may become efficient for extraction and summarization while losing the irregularities that make them intuitive or engaging for people. Preserving a meaningful human signal requires moving beyond raw volume and focusing on interaction context.

From exclusion to interpretation

For years, the default response to automation was exclusion. CAPTCHAs, rate limits, and static thresholds worked well when automated behavior was clearly distinct.

That approach is becoming less effective. AI-driven agents often provide real value to users, and blanket blocking can degrade user experience without improving outcomes. As a result, many organizations are shifting from exclusion toward interpretation.

Rather than asking how to keep automation out, teams are asking how to understand different types of traffic and respond appropriately — serving purpose-aligned experiences without assuming a single definition of legitimacy.

Behavioral context as a complementary signal

One promising approach is focusing on behavioral context. Instead of centering analysis on identity, systems examine how interactions unfold over time.

Human behavior is inconsistent and inefficient. People hesitate, backtrack, and explore unpredictably. Automated agents, even when adaptive, tend to exhibit a more structured internal logic. By observing navigation flow, timing variability, and interaction sequencing, teams can infer intent probabilistically rather than categorically.

This allows organizations to remain open while gaining a more nuanced understanding of activity.

Ethics, privacy, and responsible interpretation

As analysis becomes more sophisticated, ethical boundaries become more important. Understanding interaction patterns is not the same as tracking individuals.

The most resilient approaches rely on aggregated, anonymized signals and transparent practices. The goal is to protect platform integrity while respecting user expectations. Trust remains a foundational requirement, not an afterthought.

The future: A spectrum of agency

Looking ahead, web interactions increasingly fall along a spectrum. On one end humans are browsing directly, in the middle users are assisted by AI tools, on the other end agents are acting independently on a user’s behalf.

This evolution reflects a maturing digital ecosystem. It also demands a shift in how success is measured. Simple counts of clicks or visits are no longer sufficient. Value must be assessed in context.

What business leaders should focus on now

AI-generated traffic is not a problem to eliminate — it’s a reality to understand.

Leaders who adapt successfully will:

• Reevaluate how engagement metrics are interpreted

• Separate activity from intent in analytics reviews

• Invest in contextual and probabilistic measurement approaches

• Preserve data quality as AI participation grows

• Treat trust and privacy as design principles

The web has evolved before, and it will evolve again. The question is whether organizations are prepared to evolve how they read the signals it produces.

Shashwat Jain is a senior software engineer at Amazon.

Welcome to the VentureBeat community!

Our guest posting program is where technical experts share insights and provide neutral, non-vested deep dives on AI, data infrastructure, cybersecurity and other cutting-edge technologies shaping the future of enterprise.

Read more from our guest post program — and check out our guidelines if you’re interested in contributing an article of your own!

From copilots and chatbots to advanced analytics and automation, AI systems are now embedded in how organizations operate and compete. Yet as adoption accelerates, a less visible issue is coming sharply into focus: energy.

Data centers are already major consumers of electricity, and AI is pushing demand even higher. Power consumption linked to AI workloads is projected to grow by around 15% per year, far outpacing growth across other sectors.