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Developer Rockstar Games has unveiled a deluge of new promotional screenshots, alongside the confirmation of the game's price and GTA 6 pre-order information.
In an email sent to outlets including TechRadar Gaming, the publisher shared 63 new images, which can also be found on the game's official site.
They mainly focus on the content included with the Ultimate Edition, or the Vintage Vice City Pack pre-order bonus DLC, but still reveal some interesting titbits about the game and point to some potential key mechanics.
@techradar ♬ original sound - TechRadar Expect plenty of flashy cars, and vehicle customizationRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesLoads of the new screenshots focus on cars and car customization, with the press release accompanying the images confirming that Ultimate Edition owners will be able to visit two exclusive vehicle mod shops.
We know that interiors will be customizable, alongside rims, paint jobs, and more.
Clothing stores and hairdressers are returning tooRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesAs in past games, it's clear that players will be able to visit clothing stores to customize how their characters look as the Ultimate Edition comes bundled with access to the exclusive Stock 305 Clothing Store.
There will also be hairdressers if you need a trim, including Sara's Unisex Salon if you buy the Ultimate Edition version.
The game will also feature tattoo parlors, again just like previous games.
You can get your own boatsRockstar GamesRockstar GamesRockstar GamesRockstar GamesOne of the biggest benefits of the Ultimate Edition seems to be access to the Shitzu Squalo, a flashy boat that you can use to explore the sea and access a weapons crate. Like Grand Theft Auto 5, it seems players will be able to own and presumably customize their own ships.
You'll have somewhere to stay on land as wellRockstar GamesRockstar GamesRockstar GamesWhen you're on land, you will be able to access safehouses, with one included in the Ultimate Edition. It will allow you to store vehicles and, I assume, access other features.
Weapon customization is back with a bangRockstar GamesRockstar GamesRockstar GamesRockstar GamesLoads of the screenshots show flashy weapons (or characters holding them). The fact that you will be able to customize weapons has been confirmed, which should mean access to skins and attachments. like scopes or suppressors.
Pre-order buyers get a dose of nostalgiaRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesRockstar GamesWhile the screenshots so far have focused on the Ultimate Edition, 12 of the 63 sent out today are all about the Vintage Vice City Pack.
This is one of the bonuses that will be given to fans who pre-order, and includes some outfits, hairstyles, and weapons that you can see above.
They're clearly inspired by the world of Grand Theft Auto: Vice City, and so should offer a big dose of nostalgia to returning fans.
- Netflix has confirmed that its new horror game Unhinged will launch on June 30
- It will be available to Netflix subscribers on all plans
- Unhinged is controlled via your phone and focuses on a woman trying to escape a home invasion
Netflix has announced they are launching a new horror game, Unhinged, on June 30 and that it will be available to all subscriber tiers.
Unhinged was made by Oxenfree developer Night School Studio, and is a first-person horror game centering on two young women who are neighbors, as one attempts to escape from a home invasion.
Night School game director Sam Warner told Rolling Stone: "I grew up with those, and I think that focus on novel innovative play was something that we really started this game with. If you've got Netflix and you have a phone, then this is for you."
A tense social media trailer was shared for Unhinged, where Netflix confirmed it would launch worldwide on June 30.
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There's plenty to get excited about when it comes to Unhinged. First of all there's an amazing cast attached including Stranger Things' Sadie Sink, The Batman's Zoë Kravitz, and The Last of Us' voice actor Troy Baker.
Honestly, you couldn't get a better cast. I'm excited to see these stars in action, especially when it comes to the confined settings of a first-person horror like this. It has the potential to be great.
Gameplay wise, you'll need your phone for this one. Rather than being an interactive movie you control with your remote, Unhinged uses your phone to receive calls and text messages or to look around its world with a virtual flashlight.
There's multiple paths you can go down and, of course, you can die. So the stakes are high here and you'll have to pay attention if you want to make it out of the house safely. The game is said to be less than an hour in length, similar to an episode of a Netflix series, but you do have the opportunity to go back and explore new paths.
I've had mixed opinions of Netflix games so far but this one sounds promising. I can't wait to check it out on June 30.
Spoilers for Avatar: The Last Airbender season 2 ahead.
Even before Avatar: The Last Airbender season 2 dropped on Netflix, we knew exactly where it was heading: the Fire Nation taking over all of the Four Nations.
In the latest batch of seven episodes, the target is the hidden city of Ba Sing Se — and as of season 2 episode 6, it's been captured.
With Avatar Aang (Gordon Cormier) the only person who can save the day, the pressure is on to stop Fire Lord Ozai (Daniel Dae Kim) from doing any more damage.
Unluckily, Princess Azula (Elizabeth Yu) is taking her dad's wishes into her own hands. But can our favorite gang cope with her fiendish plans?
Here's everything you need to know about the Avatar: The Last Airbender season 2 ending... and what it might mean for the already confirmed season 3.
Appa, Sokka, Zuko and Katara are all captured by the Dai Li — which is now controlled by Azula(Image credit: Netflix)We kick off Avatar: The Last Airbender season 2 episode 8 with a flashback of baby Aang meeting Appa the sky bison for the first time. Aang feeds Appa an apple (trying to say that three times fast), and they embrace.
Cut to the present day, where Appa has been kidnapped by the Dai Li — Ba Sing Se's secret police force — which is now being controlled by Princess Azula. Trust me, you will cry seeing him in chains.
In a meeting with the city's Grand Secretariat, Long Feng (Chin Han), Azula kills all of Ba Sing Se's highest-ranking men in the force when they question why the Fire Nation wants to control the city. Long Feng, however, begrudgingly but fearfully complies with Azula's plan: to raise Ba Sing Se's drawbridge and let the Fire Nation troops roll in, taking out anything they want in the process.
Remember, this is all coming from Lord Ozai's orders, despite Azula being a more than willing vehicle for them. But Appa isn't the only Aang ally the Dai Li has captured on her orders, with Sokka (Ian Ousley) and Katara (Kiawentiio) also in separate cells.
Sokka reunites with inventor Sai (Danny Pudi) in his cell, with the inventor already being captured before his arrival. Together, they try to figure out how to use the prison's underground structure to break free.
Katara has been put in a cell with Zuko (Dallas Liu), who was caught by the Dai Li after "doing a good act." This marks the biggest pinnacle in Zuko's personal struggle between good and evil so far, and Azula has no idea that he's jailed.
Meanwhile, Toph (Miya Cech) returns home to her mother, complaining that Aang and co. "don't understand her" after their huge falling out in episode 6. While initially seeming on board with how great Toph's earthbending powers are, her mother poisons Toph's tea in order to try and control her urge to leave home forever.
Aang and Iroh plan an escape mission(Image credit: Netflix )So where is Aang in this? Right behind his pals, having already figured out where Appa is underground just by sensing him. When the Azula-controlled Dai Li parade through the center of Ba Sing Se, he's hidden by allies made in season 2, episode 1.
When he attempts to approach the Dai Li's underground jail, he's spotted by Iroh (Paul Sun-Hyung Lee) and is immediately suspicious. Iroh reveals that he's also on a mission to break Zuko out of jail, thinking that the pair should team up for maximum effect.
Iroh tells Aang about a secret door that Avatar Kyoshi once installed to lead into the underground caves, but it needs all four elements bent at once to be able to open it. Aang is missing his firebending powers at this stage, so he needs Iroh just as much as Iroh needs Aang.
Together, the pair locate and open the door, and set off on their rescue mission.
Zuko tries to bond with Katara(Image credit: Netflix)While Sokka and Sai try to be proactive, Katara learns who Zuko really is. Immediately, she goes on the defensive, telling him how all of her family — and the entire Waterbending tribe — were wiped out thanks to the hostile Fire Nation invasion.
Zuko definitely feels empathy for Katara, but still has a chip on his shoulder. He tells her that the Fire Nation also stripped him of his family, with his mother dying at the hands of Lord Ozai.
The more the two talk, the more they realize that they have a lot in common. It's the closest we've even seen Zuko come to his "good" side, and it seems as though he's finally going to stay that way for good.
Looking at the burn mark around his left eye, Katara offers to try and heal Zuko using the waterbending potion in the locket around her neck. Just as she's about to apply it, Aang and Iroh storm in, having found and released Sokka and Sai first.
Aang goes to fight Zuko, but Iroh stops him, claiming that he's seen huge changes for the better in his nephew. Not quite believing that Zuko has defected from the Fire Nation, the gang sets off in search of the exit.
Aang's escape plan is thwarted(Image credit: Netflix)With the Dai Li everywhere, the gang splits up. Aang goes to find Appa after Long Feng brings him up to speed with Azula's plans, earthbending a hole through the ceiling so that Appa can fly to safety.
But as he tries to rejoin the others, he passes another prisoner who was originally being psychologically tortured by a Dai Li officer earlier on. Aang offers to bring her with them, but instead of accepting his offer, she shouts that "the Avatar is here," alerting the guards.
From there, it's fighting on all fronts. In pairs, the group makes light work of the Dai Li roaming the hallways, especially when Toph joins suits, revealing that she has invented "metalbending."
In fact, metalbending is how she ended up there in the first place. When she wakes up after her poisoning, Toph awakes in a metal box riding inside her mother's horse and carriage. Coming to the conclusion that Aang really does understand her, where her family doesn't, she bends the box and flies out of the carriage, making her way to safety.
An all-out battle with Azula changes Zuko's allegiance(Image credit: Netflix)With the fight raging on, Azula soon joins the mix, learning that her brother is among the escapees. Honing her focus on him, she tries to convince him, once again, to rejoin her side.
At first, Zuko remains hesitant, more confident in his newfound ability to do good things. But when Azula brings up the death of their mother, he changes his mind.
Where Zuko has always held a grudge against Azula for how she acted when their mother died, Azula reveals that she was only acting on her mother's orders. Their mom wanted the siblings to stay together through the trauma, breaking an emotional trigger point inside Zuko when he hears this.
By the time the rest of the gang reach a large clearing in the underground caves, Azula and Zuko emerge to fight them all as a team. This shocks Katara, who had genuinely believed that Zuko was coming around to being on their side.
After a lot of intense bending and fighting, it looks as though Azula has Aang right where she wants him — after all, the entire point of kidnapping his friends was to lure Aang to Ba Sing Se.
But in his hour of need, Aang taps into what can best be described as an "Avatar portal," seeing physical forms of all the Avatars that came before him in his mind's eye. More clearly, it's what causes Aang's eyes and head arrow to turn a shining blue, as he's essentially channelling their collective power through his body.
Aang is left unconscious(Image credit: Netflix)At this point, we see Aang's best bending to date, turning the tables on Azula and leaving her (and the Dai Li guards who join her) powerless.
But just as he's about to deliver the final blow, Aang loses his inner vision, effectively shutting his power off. He collapses to the floor, but Katara, Sokka and Toph are able to get him to safety thanks to Appa having waited outside.
With Ba Sing Se still under Azula's control, our final scene shows the gang flying away on Appa's back. Kata uses the potion she initially offered to Zuko on Aang, aiming to heal him and bring him back to full health.
However, nothing happens after she gives it to him, with the final shot showing Aang completely unconscious and unresponsive.
Season 3 predictions(Image credit: Netflix)Obviously, finding out if Aang has actually survived the battle is a top priority for season 3. But the mere fact that season 3 has already been greenlit basically confirms that we'll be seeing Aang again anyway.
In a nutshell, we can expect to see Aang learning to firebend, infiltrating the Fire Nation, and preparing for his climactic showdown with Fire Lord Ozai before Sozin's Comet arrives. Not too much, then.
We also know that Zuko will eventually team up with Aang and the gang to make this happen, so we can expect to see some more emotional upheaval from him.
We're hoping to see season 3 episodes next summer.
Two years ago, Netflix dramatically let me down. As a massive anime fan, I tuned into the first season of their live-action Avatar: The Last Airbender remake and was horrifically disappointed within minutes. In fact, the most positive critique you could give it is that it was better than the live-action movies, which are widely considered to be garbage.
Why? The action was all there, but the heart of Aang's story wasn't. Spectacular VFX tried to cover up the hollow, mundane narrative underneath. In fact, to quote a fantastic jaw-dropping writer called Jasmine Valentine: "There’s little room to learn, with life-changing realizations made in a ridiculously short amount of time. If a tale can’t be paid its due diligence in a certain remit, should we even bother at all?"
In 2026, my excitement for Avatar: The Last Airbender season 2 is non-existent. I've approached its seven-episode run with complete trepidation, honestly wondering if there is anything better that I could be covering this week. However — while a long way from being a masterpiece — the hit Netflix show has clearly been listening.
Now that all of the exhausting worldbuilding is out of the way (for the most part), fans can finally focus on the character relationships that they want to invest in. There's a lot of tenderness and vulnerability on display, which is the most fulfilling part of our cast having grown up so much between seasons.
But there's still something obvious that's really bothering me... and it comes back to Netflix's "cookie-cutter" mold that none of its programs can escape.
Avatar: The Last Airbender season 2 has finally learned its lesson about the importance of heartRead it and weep (for joy), kids — Avatar: The Last Airbender season 2 actually has heart. If we're being honest, nobody had to put any effort into achieving this, with the mere fact that the lore of the Four Nations is fully established meaning there's now room for bigger, better things.
A mature Aang (Gordon Cormier) now straddles his inner struggles of legacy and constant imposter syndrome even more effectively, with the likes of Katara (Kiawentiio), Sokka (Ian Ousley), and Suki (Maria Zhang) now all settled into their selves, wants and needs.
If anything, Zuko (Dallas Liu) is going through it the most. After deserting his family and retreating into hiding at the end of season 1, we've got a lot more sympathy with him this time around as he grapples with his supposed destiny of capturing Aang for the Fire Nation's glory. Unlike Lord Ozai (Daniel Dae Kim), he's no longer a villain, but a victim.
The standout character of season 2 is easily Toph (Miya Cech), who has finally been introduced after not appearing in season 2. Coming from a complicated family background that routinely dismisses her Earthbending, she comes into her own sassy self after teaming up with Aang to teach him the next element.
Collectively, the team is now firing on all cylinders, and it's nothing short of a joy to watch. Now we understand who they are and what the bigger picture looks like; intimacy, fun, and genuinely satisfying friendships are now flourishing. The jokes land, the serious moments stab you in the heart, and whimsy is flying around like Appa the sky bison.
Netflix makes season 2 look exactly like The Witcher — just with different lore(Image credit: Netflix)Everything else in Avatar: The Last Airbender season 2 feels like more of the same — and that's a huge problem when it comes to the visuals. Broadly speaking, the Four Nations are jaw-droppingly gorgeous, and the detail that the creative team has packed into the landscapes is nothing short of impressive.
The immediate VFX, such as the bending that our characters use, leave a lot to be desired. It's obviously not a usual thing for people to have fire and water shooting out of their hands, so we're suspending a great deal of belief anyway... but being in the moment doesn't help when seeing it happen looks so fake.
This lumps season 2 into the same visually poor category as The Witcher, which is another comparison I made during season 1's debut. Cover the faces of the actors, stick them in the woods for a combat scene, and you'd be hard-pressed to tell the shows apart. Netflix is determined to make all of its genre programs look exactly like one another, and I'm baffled as to why.
Then there's the ultimate ending, which we already know without including spoilers. Much like other long-running anime series like One Piece (with its Netflix adaptation also guilty of this), we've known about the final endgame from its first five minutes. Here, it's for Aang to learn his bending skills, become all-powerful, and defeat Lord Ozai and the Fire Nation.
With a third series already confirmed, this is being drawn out for as long as humanly possible. It was obvious that none of the above was going to be achieved by the time season 2 wrapped up, so we've made little substantial progress from when Aang's goal was first introduced.
For me, the constant theme of "Oh no! Danger is on the horizon, and the Fire Nation must be stopped" is going to wear thin quickly. I'd really like to see season 3 mix things up, but I'm guessing that it won't.
Did I enjoy seeing Aang and the gang in 2026 more than in 2024? Absolutely. Has it renewed my interest in seeing them again at the end of 2027 (season 3's assumed release window)? Far from it.
- The second season of Netflix crime drama Dept Q begins production in Edinburgh, Scotland
- Core cast set to return alongside nine new faces
- No word yet on release date or the number of episodes
Netflix has confirmed that the second season of the hit crime drama Dept Q. is now in production, filming in Edinburgh, Scotland.
Our core cast is set to return, including:
- Matthew Goode as DCI Carl Morck
- Alexej Manvelov as Akram Salim
- Jamie Sives as DS James Hardy
- Leah Byrne as DC Rose Dickson
- Mark Bonnar as Stephen Burns,
- Kate Dickie as Moira Jacobson
- Aaron McVeigh as Jasper
- Sanjeev Kohli as Martin Flemming
Nine new cast members will also be seen in new episodes. While we don't know exactly what their roles will be, we do have names:
- Aisling Franciosi as Kimmie
- Greg Wise as Derek Powell
- Nicholas Rowe as Thomas Fulton
- Tony Curran as Winnie Calderwood
- Hamish Clark as Christopher Herron
- Alex Ferns as Phil Allenbeck
- Ross Anderson as Ricky Daddario
- Rebecca Root as June Lovesay
- Isla Johnston as Agnes
Currently, there's no word on exactly when Dept Q. season 2 will be released, nor how many episodes will make up the series.
However, we do have a brief idea of what the plot will involve thanks to the synopsis below.
Dept Q. season 2 set to explore a brand-new caseAs per Netflix, Dept Q. season 2 follows "DCI Carl Morck heading up the maverick Dept. Q from the basement of an Edinburgh police station, charged with cases previously deemed unsolvable.
"This darkly humorous, propulsive show delivers all the pleasures of a procedural but takes us into the complex mysteries not just of the cases but of the detectives themselves."
Unsurprisingly, this is all very vague at this point in development. However, Rob Bullock, Executive Producer, Left Bank Pictures, added in a statement, “This season, Carl and his band of misfits tackle a terrible crime hidden in the highest echelons of Scottish society. It is a story for our times: rich and powerful people who believe they are above the law."
Executive Manda Levin agreed, "The story of season 2 is as darkly delicious as you’d expect, and Carl and his glorious gang will have their work cut out pinning down the perpetrators as we launch back in for more!”
What we know for sure is that we will continue to see an adaptation of Jussi Adler-Olsen’s original novels — but how faithful the show will be remains to be seen.
Data governance is unglamorous work. It is also the reason most AI strategies stall before they scale.
Spending on models, platforms and use cases keeps growing. But the disciplines that make those investments effective – data quality, ownership and governance – often receive far less attention.
Part of the challenge is that data governance is neither “fun” nor “sexy.” It lacks the excitement of new technologies and the appeal of quick wins, so it is consistently deprioritized.
Yet as organizations scale their AI ambitions, governance is increasingly the factor that determines whether those efforts succeed or stall.
The imbalance in attention is now starting to show. While AI adoption continues to grow, many organizations still struggle to move beyond pilot stages into enterprise-scale deployment. The gap between ambition and execution is widening, and weak data governance is often at the center of it.
The issue is not awareness. Most business leaders recognize that governance matters. The challenge is that governance demands structural decisions, cultural alignment and sustained discipline – the hard parts of the job. And, unlike a new platform or tool, its value often only becomes fully apparent when it is missing.
When governance is absent, problems don’t stay smallWeak governance rarely fails loudly at first. The problems accumulate.
Early AI initiatives often prioritize delivery, with dashboards, models and applications taking precedence over governance. Silos form, data definitions diverge and access controls become inconsistent. A common pattern: two teams – one in marketing, one in data science – train separate models against different definitions of the same metric.
Both definitions look correct in isolation. In production, the predictions conflict, neither team can explain why, and the investigation takes weeks longer than building either model did. Quality issues are patched rather than fixed, and new projects begin to rely on shaky assumptions.
As complexity grows over time, confidence in the data declines.
Data dictionaries and permission frameworks are not administrative overhead – they are what makes scalable AI possible. Building them early demands investment before visible returns but postponing that effort is far costlier.
Left unchecked, governance gaps eventually land hard, resulting in delayed projects, compliance failures and decisions made on unreliable data. At that point, organizations are forced into reactive fixes – or even total rebuilds – that are far more expensive and disruptive than addressing governance from the start.
Governance is not just compliance – it enables innovationRegulators are placing increasing importance on accountability in how data is used. The UK’s Information Commissioner’s Office (ICO) has made it clear that organizations must be able to demonstrate control over data use, particularly as AI systems become more prevalent. Scotland’s new National AI Strategy also highlights that organizations must follow best practice in responsible AI governance aligned with OECD principles.
This has reinforced the perception that governance is primarily a compliance exercise – something important but not necessarily prioritized at the prototype stage. Effective governance is far more than that: it shapes how data flows through an organization, how decisions are made and how confidently teams can act. It defines accountability and sets the standards needed to maintain consistency at scale.
In that sense, governance is a design choice, and businesses need to make the right one to effectively scale their innovation ambitions.
Define ownership before you decide the modelGovernance is not one-size-fits-all - nor it is purely a technical problem to be addressed through tools or platforms alone. In fact, the harder initial challenge is often a people and accountability one. Before designing a governance model, organizations need to define the who as much as the how. Who owns the data? Who is responsible for its quality and who decides how it should be used?
In many organizations, these responsibilities are unclear. Management is shared, and ownership is (often wrongly) assumed rather than defined. But it is only once those questions have been answered – in practice as well as on paper – that businesses can turn their attention to developing a governance model that fits their structure.
Some take a centralized approach to this, with control sitting in a single function. This can provide consistency and clarity, but the model may struggle to scale across complex organizations with diverse needs.
Others adopt a federated model, combining central standards with local ownership. This can be more flexible and scalable, but only if the business is committed to those shared standards and has defined clear roles and accountability. Without them, federated models risk furthering data fragmentation.
The key is alignment. Governance models should match how teams actually use data and AI, not how they’re assumed to operate.
A practical test: ask three different teams how they define a key business metric – revenue, active users, or customer churn. If the answers differ, the governance problem already exists. The operating model question is not how to prevent that divergence in future; it is who has the authority to resolve it now.
Governance doesn’t show up in a demoGovernance is rarely the most visible part of an AI strategy. It’s detailed, structural work that often goes overlooked, but that is precisely why it matters.
For business leaders, the challenge is to move beyond acknowledging its importance and begin making early, deliberate decisions about how it is implemented. That means defining data ownership, aligning operating models and investing in the capabilities that support long-term success.
Technology choices are reversible. Data ownership decisions compound. The governance model you design – or neglect – in the next twelve months will shape what your AI strategy can actually deliver in three years.
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Operational performance is becoming just as important as investment performance in private credit.
As fundraising slows and investor expectations increase, firms are facing growing pressure to modernize the IT infrastructure supporting their portfolios.
In fact, transparency and faster reporting are becoming top priorities.
Without such capabilities, funds can’t clearly see across their own portfolio, amplifying stress when markets are less forgiving.
Especially as private credit scales and operational diligence become more central to allocation decisions, such back-office issues become something more structural.
Fortunately, managers that properly invest in their operational foundations now, will be better equipped to manage the increasing demands facing the private credit industry moving forward.
Analyzing Operational PressuresPrivate credit is operationally intensive. And many firms never built systems to match the increasing complexity of their portfolios as they grew and evolved. Instead, operations are often spread across legacy servicing platforms, spreadsheets, email-driven workflows, and disconnected internal tools, leaving firms without a single real-time view of portfolio data.
Most loan servicing operates on cycles such as monthly reconciliations, quarterly reporting, and batch-based payment processing. This model reflects the constraints of legacy systems and manual workflows. Data must be collected, validated, and processed in stages. Consequently, funds often view their portfolios through periodic snapshots rather than in real-time.
Many funds also maintain parallel spreadsheets to verify their servicer's calculations. Known as shadow booking, this redundancy has no other purpose than to increase control. Ultimately though, it’s a sign of mistrust in the data provided, and the underlying calculations are often difficult to inspect. When discrepancies arise, they are discovered after the fact and require manual investigation, often across multiple systems.
These realities of the private credit industry are now colliding with a more competitive fundraising environment. Even if their underlying deals aren't catastrophic, private credit funds begin to look fragile if they cannot perform operationally well under increasing pressure.
Not surprisingly, many private credit firms are looking to AI to address these issues. But automation software alone cannot repair broken operational foundations. The critical question becomes whether their infrastructure is actually prepared to support the AI model they choose to use.
AI Alone Is Not the AnswerAI agents can execute operational work reliably while platforms can provide real-time visibility and full auditability. The pieces are in place. But there’s a pattern in how AI projects fail in the finance industry that's worth naming and it's almost never the model that's the problem.
What’s often missing is the infrastructure surrounding the model - the systems, workflows, data access, permissions, and controls that allow AI to operate reliably inside real financial processes. Otherwise known as the harness. Generic AI tools don’t know what a rate notice is.
They don't know that a prepayment request triggers a multi-step workflow across every syndicated entity on a facility. They don't know the difference between a funded tranche and a committed-but-undisbursed revolver, or why that distinction matters for how a payoff figure should be calculated.
This lack of operational context is also one of the biggest reasons AI hallucinations occur in finance. The majority of hallucinations aren't random malfunctions, they're a context problem. The AI model wants to give an appropriate answer. When it doesn't have access to the specific data it needs, it reasons from what it does know and produces something plausible.
Private credit portfolio data isn't embedded in any public language model. If the harness doesn't provide it, through tools, memory or real-time data access, the model will fill the gap with something that sounds right. Which, in a financial operations context, is a real problem.
The fix isn’t a better model. It’s a harness that gives the agent access to the right data, at the right moment, with the right tools and controls to retrieve it.
The firms that focus on building operational systems that provide context, transparency, audibility and human oversight will receive the greatest value from its AI investments. In private credit, the long-term advantage may not come from adopting AI faster than competitors, but from building the infrastructure, or the harness, capable of supporting it responsibly and at scale.
Establishing New Competitive DifferentiatorsAs these operational systems mature and advance, they will also reshape what excellence actually looks like inside private credit firms. Responsiveness won't be a differentiator. It will be assumed. Real-time and instant delivery will be the new baseline.
This is because most routine interactions will no longer require human involvement. With real-time systems, shared data layers, and automated workflows, information will be directly accessible and continuously updated. What previously required a request and response cycle will be resolved at the source.
As a result, the role of the servicer shifts. They are no longer measured by how quickly they process or reply, but by how well they handle what cannot be automated - exceptions, edge cases, and judgment calls.
This is why the next generation of private credit leaders may look fundamentally different from the firms that defined the industry’s earlier growth period. Capital access and underwriting expertise will remain essential, but operational execution is becoming increasingly strategic.
Most funds are using general-purpose AI for ad-hoc analysis or are in a holding pattern. A small number are starting to build their own and discovering how much harder it is than first expected. The funds that move first on specialized operational infrastructure will have an advantage that compounds. Not because they picked the right model (the model will keep getting better and cheaper regardless), but because they built or adopted the right harness, trained it on the right context, and gave it the controls that make it trustworthy at scale.
In many ways, private credit firms are evolving into operational organizations as much as financial organizations. The ability to manage workflows, data, oversight, and execution will become a defining part of a firm’s competitive performance.
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