Technology

AI agents are science fiction not yet ready for primetime

Published

4 months ago

August 31, 2025

AI agents are science fiction not yet ready for primetime

This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on all things AI, follow Hayden Field. The Stepback arrives in our subscribers’ inboxes at 8AM ET. Opt in for The Stepback here.

It all started with J.A.R.V.I.S. Yes, that J.A.R.V.I.S. The one from the Marvel movies.

Well, maybe it didn’t start with Iron Man’s AI assistant, but the fictional system definitely helped the concept of an AI agent along. Whenever I’ve interviewed AI industry folks about agentic AI, they often point to J.A.R.V.I.S. as an example of the ideal AI tool in many ways — one that knows what you need done before you even ask, can analyze and find insights in large swaths of data, and can offer strategic advice or run point on certain aspects of your business. People sometimes disagree on the exact definition of an AI agent, but at its core, it’s a step beyond chatbots in that it’s a system that can perform multistep, complex tasks on your behalf without constantly needing back-and-forth communication with you. It essentially makes its own to-do list of subtasks it needs to complete in order to get to your preferred end goal. That fantasy is closer to being a reality in many ways, but when it comes to actual usefulness for the everyday user, there are a lot of things that don’t work — and maybe will never work.

The term “AI agent” has been around for a long time, but it especially started trending in the tech industry in 2023. That was the year of the concept of AI agents; the term was on everyone’s lips as people tried to suss out the idea and how to make it a reality, but you didn’t see many successful use cases. The next year, 2024, was the year of deployment — people were really putting the code out into the field and seeing what it could do. (The answer, at the time, was… not much. And filled with a bunch of error messages.)

I can pinpoint the hype around AI agents becoming widespread to one specific announcement: In February 2024, Klarna, a fintech company, said that after one month, its AI assistant (powered by OpenAI’s tech) had successfully done the work of 700 full-time customer service agents and automated two-thirds of the company’s customer service chats. For months, those statistics came up in almost every AI industry conversation I had.

The hype never died down, and in the following months, every Big Tech CEO seemed to harp on the term in every earnings call. Executives at Amazon, Meta, Google, Microsoft, and a whole host of other companies began to talk about their commitment to building useful and successful AI agents — and tried to put their money where their mouths are to make it happen.

The vision was that one day, an AI agent could do everything from book your travel to generate visuals for your business presentations. The ideal tool could even, say, find a good time and place to hang out with a bunch of your friends that works with all of your calendars, food preferences, and dietary restrictions — and then book the dinner reservation and create a calendar event for everyone.

Now let’s talk about the “AI coding” of it all: For years, AI coding has been carrying the agentic AI industry. If you asked anyone about real-life, successful, not-annoying use cases for AI agents happening right now and not conceptually in a not-too-distant future, they’d point to AI coding — and that was pretty much the only concrete thing they could point to. Many engineers use AI agents for coding, and they’re seen as objectively pretty good. Good enough, in fact, that at Microsoft and Google, up to 30 percent of the code is now being written by AI agents. And for startups like OpenAI and Anthropic, which burn through cash at high rates, one of their biggest revenue generators is AI coding tools for enterprise clients.

So until recently, AI coding has been the main real-life use case of AI agents, but obviously, that’s not pandering to the everyday consumer. The vision, remember, was always a jack-of-all-trades sort of AI agent for the “everyman.” And we’re not quite there yet — but in 2025, we’ve gotten closer than we’ve ever been before.

Last October, Anthropic kicked things off by introducing “Computer Use,” a tool that allowed Claude to use a computer like a human might — browsing, searching, accessing different platforms, and completing complex tasks on a user’s behalf. The general consensus was that the tool was a step forward for technology, but reviews said that in practice, it left a lot to be desired. Fast-forward to January 2025, and OpenAI released Operator, its version of the same thing, and billed it as a tool for filling out forms, ordering groceries, booking travel, and creating memes. Once again, in practice, many users agreed that the tool was buggy, slow, and not always efficient. But again, it was a significant step. The next month, OpenAI released Deep Research, an agentic AI tool that could compile long research reports on any topic for a user, and that spun things forward, too. Some people said the research reports were more impressive in length than content, but others were seriously impressed. And then in July, OpenAI combined Deep Research and Operator into one AI agent product: ChatGPT Agent. Was it better than most consumer-facing agentic AI tools that came before? Absolutely. Was it still tough to make work successfully in practice? Absolutely.

So there’s a long way to go to reach that vision of an ideal AI agent, but at the same time, we’re technically closer than we’ve ever been before. That’s why tech companies are putting more and more money into agentic AI, by way of investing in additional compute, research and development, or talent. Google recently hired Windsurf’s CEO, cofounder, and some R&D team members, specifically to help Google push its AI agent projects forward. And companies like Anthropic and OpenAI are racing each other up the ladder, rung by rung, to introduce incremental features to put these agents in the hands of consumers. (Anthropic, for instance, just announced a Chrome extension for Claude that allows it to work in your browser.)

So really, what happens next is that we’ll see AI coding continue to improve (and, unfortunately, potentially replace the jobs of many entry-level software engineers). We’ll also see the consumer-facing agent products improve, likely slowly but surely. And we’ll see agents used increasingly for enterprise and government applications, especially since Anthropic, OpenAI, and xAI have all debuted government-specific AI platforms in recent months.

Overall, expect to see more false starts, starts and stops, and mergers and acquisitions as the AI agent competition picks up (and the hype bubble continues to balloon). One question we’ll all have to ask ourselves as the months go on: What do we actually want a conceptual “AI agent” to be able to do for us? Do we want them to replace just the logistics or also the more personal, human aspects of life (i.e., helping write a wedding toast or a note for a flower delivery)? And how good are they at helping with the logistics vs. the personal stuff? (Answer for that last one: not very good at the moment.)

Besides the astronomical environmental cost of AI — especially for large models, which are the ones powering AI agent efforts — there’s an elephant in the room. And that’s the idea that “smarter AI that can do anything for you” isn’t always good, especially when people want to use it to do… bad things. Things like creating chemical, biological, radiological, and nuclear (CBRN) weapons. Top AI companies say they’re increasingly worried about the risks of that. (Of course, they’re not worried enough to stop building.)
Let’s talk about the regulation of it all. A lot of people have fears about the implications of AI, but many aren’t fully aware of the potential dangers posed by uber-helpful, aiming-to-please AI agents in the hands of bad actors, both stateside and abroad (think: “vibe-hacking,” romance scams, and more). AI companies say they’re ahead of the risk with the voluntary safeguards they’ve implemented. But many others say this may be a case for an external gut-check.

0 Comments

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.

Hayden Field

Related Topics:ai Column Tech The Stepback

Click to comment

Technology

Meta expands nuclear power ambitions to include Bill Gates’ startup

Published

8 hours ago

January 9, 2026

Press Room

Meta expands nuclear power ambitions to include Bill Gates’ startup

These AI projects include Prometheus, the first of several supercluster computing systems, which is expected to come online in New Albany, Ohio, sometime this year. Meta is funding the construction of new nuclear reactors as part of the agreements, the first of which may come online “as early as 2030.” These announcements are part of Meta’s ongoing goal to support its future AI operations with nuclear energy, having previously signed a deal with Constellation to revive an aging nuclear power plant last year.

Financial information for the agreements hasn’t been released, but Meta says that it will “pay the full costs for energy used by our data centers so consumers don’t bear these expenses.”

“Our agreements with Vistra, TerraPower, Oklo, and Constellation make Meta one of the most significant corporate purchasers of nuclear energy in American history,” Meta’s chief global affairs officer, Joel Kaplan, said in the announcement. “State-of-the-art data centers and AI infrastructure are essential to securing America’s position as a global leader in AI.”

Technology

Why January is the best time to remove personal data online

Published

9 hours ago

January 9, 2026

Press Room

Why January is the best time to remove personal data online

NEWYou can now listen to Fox News articles!

January feels like a reset. A new calendar. New goals. New habits. While you clean out your inbox, organize paperwork or set resolutions, however, scammers also hit reset, and they start with your personal data.

That is because January is one of the most important months for online privacy. This is when data brokers refresh profiles and scammers rebuild their target lists.

As a result, the longer your information stays online, the more complete and valuable your profile becomes. To help address this, institutions like the U.S. Department of the Treasury have released advisories urging people to stay vigilant and avoid data-related scams.

For that reason, taking action early in the year can significantly reduce scam attempts, lower identity theft risks, and limit unwanted exposure for the rest of the year.

Sign up for my FREE CyberGuy Report
Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox. Plus, you’ll get instant access to my Ultimate Scam Survival Guide – free when you join my CYBERGUY.COM newsletter.

January is when data brokers refresh profiles and scammers rebuild target lists, making early action critical for online privacy. (iStock)

STOP DATA BROKERS FROM SELLING YOUR INFORMATION ONLINE

Why personal data does not expire and keeps compounding online

Many people assume old information eventually becomes useless. Unfortunately, that’s not how data brokers work.

Data brokers don’t just store a snapshot of who you are today. They build living profiles that grow over time, pulling from:

Public records (property sales, court filings, voter registrations)
Retail purchases and loyalty programs
App usage and location data
Past addresses, phone numbers, and relatives
Marketing databases and online activity.

Each year adds another layer. A new address. A changed phone number. A family connection. A retirement milestone. On its own, one data point doesn’t mean much. But together, they create a detailed identity profile that scammers can use to convincingly impersonate you. That’s why waiting makes things worse, not better.

Why scammers ‘rebuild’ targets at the start of the year

Scammers don’t randomly target people. They work from lists. At the beginning of the year, those lists get refreshed.

Why January matters so much:

Data brokers update and resell profiles after year-end records close
New public filings from the previous year become searchable
Marketing databases reset campaigns and audience segments
Scam networks repackage data into “fresh” target lists.

Think of it like the upcoming spring cleaning, except it’s criminals organizing identities to exploit for the next 12 months.

If your data is still widely exposed in January, you’re far more likely to:

Once your profile is flagged as responsive or profitable, it often stays in circulation.

As personal information accumulates across databases, digital profiles grow more detailed and more valuable to scammers over time. (Kurt “CyberGuy” Knutsson)

Why taking action in January protects you all year long

Removing your data early isn’t just about stopping scams today; it’s about cutting off the supply chain that fuels them. When your information is removed from data broker databases:

It’s harder for scammers to find accurate contact details
Phishing messages become less convincing
Impersonation attempts fail more often
Your identity becomes less valuable to resell.

This has a compounding benefit in the opposite direction. The fewer lists you appear on in January, the fewer times your data gets reused, resold, and recycled throughout the year. That’s why I consistently recommend addressing data exposure before problems start, not after.

Why retirees and families feel the impact first

January is especially important for retirees and families because they’re more likely to become targets of fraud, scams, and other crimes.

Retirees often have:

Long addresses and employment histories
Stable credit profiles
Fewer active credit applications
Public retirement and property records

Families add another layer of risk:

Relatives are linked together in broker profiles
One exposed family member can expose others
Shared addresses and phone plans increase visibility

Scammers know this. That’s why households with established financial histories are prioritized early in the year.

Why quick fixes don’t work

Many people try to “start fresh” in January by:

Those steps help, but they don’t remove your data from broker databases. Credit monitoring services alert you after something goes wrong. Password changes don’t affect public profiles. And unsubscribing doesn’t stop data resale. If your personal information is still sitting in hundreds of databases, scammers can find you.

The January privacy reset that actually works

If you want fewer scam attempts for the rest of the year, the most effective step is removing your personal data at the source.

You can do this in one of two ways. You can submit removal requests yourself, or you can use a professional data removal service to handle the process for you.

Removing your data yourself

Manually removing your data means identifying dozens or even hundreds of data broker websites, finding their opt-out forms and submitting removal requests one by one. You also need to verify your identity, track responses and repeat the process whenever your information reappears.

This approach works, but it requires time, organization, and ongoing follow-up.

Using a data removal service

A data removal service handles this process on your behalf. These services typically:

Send legal data removal requests to large networks of data brokers
Monitor for reposted information and submit follow-up removals
Continue tracking your exposure throughout the year
Manage a process that most people cannot realistically maintain on their own

Removing your data at the start of the year helps reduce scam attempts, phishing messages and identity theft risks all year long. (iStock)

Because these services handle sensitive personal information, it is important to choose one that follows strict security standards and uses verified removal methods.

While no service can guarantee the complete removal of your data from the internet, a data removal service is really a smart choice. They aren’t cheap, and neither is your privacy. These services do all the work for you by actively monitoring and systematically erasing your personal information from hundreds of websites. It’s what gives me peace of mind and has proven to be the most effective way to erase your personal data from the internet. By limiting the information available, you reduce the risk of scammers cross-referencing data from breaches with information they might find on the dark web, making it harder for them to target you.

RETIREES LOSE MILLIONS TO FAKE HOLIDAY CHARITIES AS SCAMMERS EXPLOIT SEASONAL GENEROSITY

Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com.

Get a free scan to find out if your personal information is already out on the web: Cyberguy.com.

Kurt’s key takeaways

Scammers don’t wait for mistakes. They wait for exposed data. January is when profiles are refreshed, lists are rebuilt, and targets are chosen for the year ahead. The longer your personal information stays online, the more complete-and dangerous-your digital profile becomes. The good news? You can stop the cycle. Removing your data now reduces scam attempts, protects your identity, and gives you a quieter, safer year ahead. If you’re going to make one privacy move this year, make it early-and make it count.

Have you ever been surprised by how much of your personal information was already online? Let us know by writing to us at Cyberguy.com.

CLICK HERE TO DOWNLOAD THE FOX NEWS APP

Kurt “CyberGuy” Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on “FOX & Friends.” Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Technology

Xbox’s Towerborne is switching from a free-to-play game to a paid one

Published

20 hours ago

January 9, 2026

Press Room

Xbox’s Towerborne is switching from a free-to-play game to a paid one

Towerborne, a side-scrolling action RPG published by Xbox Game Studios that has been available in early access, will officially launch on February 26th. But instead of launching as a free-to-play, always-on online game as originally planned, Towerborne is instead going to be a paid game that you can play offline.

“You will own the complete experience permanently, with offline play and online co-op,” Trisha Stouffer, CEO and president of Towerborne developer Stoic, says in an Xbox Wire blog post. “This change required deep structural rebuilding over the past year, transforming systems originally designed around constant connectivity. The result is a stronger, more accessible, and more player-friendly version of Towerborne — one we’re incredibly proud to bring to launch.”

“After listening to our community during Early Access and Game Preview, we learned players wanted a complete, polished experience without ongoing monetization mechanics,” according to an FAQ. “Moving to a premium model lets us deliver the full game upfront—no live-service grind, no pay-to-win systems—just the best version of Towerborne.”

With the popular live service games like Fortnite and Roblox getting harder to usurp, Towerborne’s switch to a premium, offline-playable experience could make it more enticing for players who don’t want to jump into another time-sucking forever game. It makes Towerborne more appealing to me, at least.

With the 1.0 release of the game, Towerborne will have a “complete” story, new bosses, and a “reworked” difficulty system. You’ll also be able to acquire all in-game cosmetics for free through gameplay, with “no more cosmetic purchasing.” Players who are already part of early access will still be able to play the game.

Towerborne will launch on February 26th on Xbox Series X / S, Xbox on PC, Game Pass, Steam, and PS5. The standard edition will cost $24.99, while the deluxe edition will cost $29.99.