51% of professionals say AI workslop lowers their productivity – stop it in 2 steps


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Elyse Betters Picaro/ZDNET

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ZDNET’s key takeaways

  • Almost half of professionals say AI workslop is a problem.
  • You must take a sophisticated approach to realizing AI value.
  • People who blend AI and human expertise will be in high demand.

The backlash against AI is in full swing. What once seemed like a clever way to shortcut tasks and remove repetition has started to feel like a hindrance rather than a hand.

Almost half (45%) of US professionals said “workslop” has made them more cautious about using AI in the workplace, according to the Workslop Trust Report from resume templates service Zety.

Also: Forget productivity: Here are 5 strategic shifts that drive real AI value

The research, which defined workslop as AI-generated work that appears polished but lacks accuracy, substance, or adequate review, found that professionals believe this low-quality output has lasting consequences for teams and organizations.

Zety’s research suggested the top risks of workslop are lower trust in AI (57%), reduced productivity (51%), and damage to a company’s reputation (46%).

For a technology meant to make people more productive, not less, the potential implications of these risks are considerable for professionals who see generative and agentic AI as a solution to some of their biggest workplace challenges.

As Zety’s in-house career expert, Jasmine Escalera, suggested succinctly, her firm’s research presents an uncomfortable reality: “AI is reshaping how work gets done, but not always for the better.”

Also: What is digital transformation? Everything you need to know about how technology is changing business

So, what can professionals do to ensure that AI-enabled services are a hand rather than a hindrance?

The answer, suggested the business leaders who spoke with ZDNET, is twofold: rethinking productivity and being persistent.

Rethinking productivity

Joel Hron, CTO at Thomson Reuters, is tasked with helping the global content and technology specialist exploit gen AI, machine learning, and agentic technologies.

He told ZDNET that one of the key lessons his organization has learned over the past two years is that rethinking what AI productivity means is a constant work in progress.

“An AI-first mindset is an important change that’s happening right now,” he said. “That approach means looking at the jobs that you’re doing every day and figuring out, ‘How do I get AI to do this job first, so that I can come in second with a higher layer of judgment or intuition, rather than me doing it first?'”

Also: How this travel company’s AI rollout drove a 73% satisfaction boost: A 5-step playbook for your business

Hron described this shift as an interesting change in working style that his firm is experiencing now, particularly in software engineering.

He said this trend foreshadows similar transitions across other roles in the future: “I think that ‘AI first, human second work pattern’ is one area to pay attention to over the course of the next year.”

The professionals who excel during this shift in working practices, Nick Pearson, CIO at technology specialist Ricoh Europe, told ZDNET, will be those who take a sophisticated approach to AI’s value-adding capabilities.

To help in this process, Ricoh has created a model to assess whether the tools that people select from its internal AI marketplace generate productivity gains. The model considers a range of vectors, such as business risks and financial returns.

“The model asks, ‘Does this thing help or not? Does it really save hours or days? Where does AI save this time? Is it generating notes on a meeting that, frankly, no one cares about?’ Because that’s not something that’s adding value,” said Pearson.

Also: Worried AI agents will replace you? 5 ways you can turn anxiety into action at work

Rather than focusing on ephemeral targets, Richard Corbridge, CIO at property specialist Segro, suggested the key to realizing productivity gains is for professionals to be part of a learning culture that understands the risks of workslop and recognizes where AI can operate as a useful assistant.

“If you think about gen AI, it’s by definition very good at generating outputs. But let’s not just do things without oversight. Let’s use AI as a tool to help educated, experienced colleagues,” he said.

“We make sure that the workslop element is really understood and that if you don’t use this tool wisely, then the risks are much higher. I’m a big fan of saying, ‘Where do we differentiate what can’t AI do?’ It can’t inspire people, per se; it can’t naturally create something new, because it’s quite recursive. We need human judgment.”

Being persistent

Implementing AI is just the starting point. Delivering actual productivity gains requires hard graft.

Hron said Thomson Reuters uses a mix of in-house models and off-the-shelf tools to power its AI-enabled services. However, not every professional sees the value straightaway.

“People would sometimes pick up these tools, and they wouldn’t quite do what they wanted them to do or wouldn’t do things as well as they wanted,” he said. “But when these people just said AI wasn’t ready, and they turned it off, they missed the mark.”

Also: 90% of AI projects fail – here are 3 ways to ensure yours doesn’t

Hron said his team learned that persistence pays off when using AI services.

“The people who built systems around the AI tools necessary to ground the AI and guide it in the right direction were ultimately the ones who hit a new exponential that the rest of the organization wasn’t on,” he said.

“They, suddenly, got on a new curve. But it took effort and persistence. Often, there was one individual who was hyper-curious and put in the work, and then everyone else on the team tended to benefit from that effort.”

Persistence matters, suggested Ricoh’s Pearson, because employees who become effective at blending AI capabilities with human expertise will be in high demand and, consequently, become highly demanding.

Also: 5 ways to use AI when your budget is tight

When these professionals look for new roles, they will judge potential employers on the AI tools that they can use in their work: “An employee experience is bubbling where people are saying that these are the tools and capabilities I expect to have in a company.”

Persistent professionals who learn how to use AI safely and effectively will be in a strong position. And for employers, Pearson suggested that success will be about establishing the right blend between risk and reward.

“We’re looking at those issues because, ultimately, in the attraction of talent and retaining people, professionals will say, ‘Hang on, I had a couple of agents at my last place that really helped me. Do you have those agents available to me in this workplace?'”

The simple message, said Segro’s Corbridge, is that persistence will pay off. While the backlash against AI might be on the rise, the technology will continue to evolve and grow, and professionals must focus on understanding how to exploit its capabilities effectively.

“There’s a lot of debate about when the AI bubble is going to burst,” he said. “I’m not convinced. I think it’s here to stay. AI isn’t going to go away.”





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If Game Two of their first-round playoff series with the Denver Nuggets saved the 2025-26 season for the Minnesota Timberwolves, Game Three showed why it should be saved. 

The Timberwolves were a different beast while decisively thumping the Nuggets, 113-96 Thursday night at Target Center, in a game that wasn’t nearly that close. These Wolves were the mythical creature we’d heard about in preseason lore, purposefully locked and loaded to be both marauding and staunch. They owned both ends of the court, gleefully transferring back and forth from irresistible force to immovable object. 

A quartet of Timberwolves deserve special mention, but it begins with Jaden McDaniels. After his team had toppled Denver to even the series at a game apiece Monday night, McDaniels used the sizable chip on his shoulder to etch some graffiti into the public discourse, casually castigating the most prominent Nuggets players by name as “bad defenders” in a matter-of-fact manner that had the media compelling him to confirm what he had just said. 

Trash talk is fleetingly fungible in the jaundiced social environment of 2026, functioning more like coupons than currency in that it needs to be rapidly leveraged before its expiration date. The common perception naturally was that McDaniels was calling out the Nuggets. But in a more subtle, profound way, he was also putting his teammates on notice. 

All season long the Timberwolves have procrastinated on their full potential, frequently demonstrating that their preseason talk about maturity and commitment was cheap. By contrast, those words uttered by McDaniels were expensive. He had just picked a fight with the opponent, leaving open the question of how many of his teammates would join him in the fray. 

That he would lead the charge was established early, after the Timberwolves’ top two scorers, Anthony Edwards and Julius Randle, had each missed a pair of open looks against Denver’s bad defenders in the game’s first 90 seconds.  

With the game still scoreless, the NBA’s best pick-and-roll combo, Nikola Jokic and Jamal Murray, were clustered around the foul line with Minnesota’s best defenders, McDaniels and Rudy Gobert. As they jammed up Jokic, McDaniels picked the ball loose and started sprint-dribbling the other way. To no one’s surprise, Donte “Ragu” DiVincenzo was also on his horse in transition, receiving a pass from McDaniels and then lobbing it back for a Jaden slam against a hapless Murray and Murray’s late-arriving teammate, Cam Johnson, who committed the foul that allowed McDaniels to finish with the “and-1” free throw. 

On the Timberwolves next offensive possession, McDaniels muscled his way to two offensive rebounds, feeding Ragu off the first one for a missed three-pointer, which he corralled for the second one and executed the putback in traffic. It was McDaniels 5, Nuggets 0, setting the tone for a game in which not only did the Wolves never trail, but never let the lead go under double digits after McDaniels made a consecutive pair of driving layups eight minutes into the game. 

“Spectacular. I thought his activity offensively in the first quarter was outstanding,” said Wolves coach Chris Finch after the game. “He was inspirational.” 

Among the most inspired were McDaniels fellow wing players, Ragu and Ayo Dosunmu. Ragu is exactly the kind of player who will have your back in a squabble, and his galvanized performance seemed borne of satisfaction that someone else had clarified the mission. As usual, the Timberwolves were at their best with him on the court: +20 in the 32:54 he played, -3 in the 15:06 he sat. 

“He makes so many hustle plays, momentum plays, different styles of plays.” Finch raved. “He’ll make a shot, get a transition bucket, he’ll rebound, get a steal, blow something up. So many different plays. He’s just a basketball player.”

Related: How the Timberwolves sparked a season-saving Game 2 comeback over the Nuggets in Denver

Then there was Ayo, whose fearless, blazing, bee-lines for the bucket were quicksilver kryptonite for a Nuggets defense that is neither swift nor rugged. “I’ve been waiting for him to wake up a little bit in this series,” Finch accurately observed. “The downhill mindset that he played with all season for us was back.”

Back with the sort of multipurpose propulsion that leaves witnesses with giddy whiplash. Ayo led the team with 25 points and 9 assists in 32 minutes of time-lapse hoops, the lone blemish being three clanks from long range. Why chuck treys when you can so easily undress players in the paint? Ayo was 10-for-12 on two-pointers and none of those dozen shots came from anywhere but beneath the rim. Five of his nine dimes likewise yielded layups or dunks, which means he personally accounted for 30 of the 68 points in the paint by the Timberwolves on Thursday, doubling up the Nuggets’ 34.

Which brings us to the non-wing in Game 3’s ring of honor, Rudy Gobert. For the third straight game, Gobert blunted the supposed advantage Denver had with the magical playmaker Nikola Jokic at the controls. Suffice to say that in the last five quarters, Jokic has shot 8-for-33 from the floor. If that continues, the Nuggets are toast in this series. 

When I asked Finch after the game if the herculean job Gobert was doing on Jokic made planning his defense simpler and better thus far, he replied, “Rudy is making all of us look good right now with his defense.” 

Amen.

If there is an asterisk on this game, it would be the absence of Denver’s brutishly versatile power forward Aaron Gordon. Nuggets coach David Adelman should be given a lot of credit for his honesty and transparency in dealing with the media during his first full season at the helm, but it came back to bite him and his team during the pregame presser, when he was clearly rattled and dejected by the sudden unavailability of Gordon, whose playing status went to “probable” to “out” in a period of a few hours due to a chronic calf strain. 

Gordon is far and away his team’s best defender, making the timing of his injury especially troublesome in the wake of McDaniels laying down his marker. Rattled is a good way to describe the entire team’s performance in the first quarter, an emotional wounding that needs to heal as fast as Gordon’s body if the Nuggets are going to be competitive in a series that had dramatically been flipped on its head over the past three days. 

That the Timberwolves played with such dominance despite mediocre outings from Ant and Randle would be a good thing for both of those current cornerstones to keep in mind. Ant was beset by foul trouble and Randle had a solid second quarter, but it stood out that neither player fully embraced what so often works on offense when the Wolves are at their best: Push the pace, move the ball, move without the ball, and make quick decisions. Ant and Randle can still be first among equals and blend into that catechism if they stay attuned to the possibilities of a greater good, one that all of sudden doesn’t have to end with them being postseason fodder for the Spurs or the Thunder. 

Not when you’ve got three wings at a collective peak, with a chaser of Rudy semi-clowning the Joker. 



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