In a good and just society, it would have been possible to bury Charlie Kirk without either threatening mass violence toward his enemies or making light of his death with a furry sex meme. But America in 2025 did not remotely resemble a working society, let alone a civil one, and Kirk’s killing came prepackaged with its own desecrating shitposts.
Artificial Intelligence
The year politics became brainrot
There was, briefly, an attempt at a national mood of somberness. The president ordered flags across the nation to be lowered to half-staff. Politicians, celebrities, and other public figures — even those not aligned with Kirk on the right — rushed out with condolences and grief, painting completely unrecognizable pictures of a man who was a once-in-a-generation talent at getting a rise out of other people. “Kirk was practicing politics in exactly the right way,” wrote the liberal pundit Ezra Klein in The New York Times, describing him as “one of the era’s most effective practitioners of persuasion.”
Kirk’s megachurch memorial service was well-attended, with additional solemnities elsewhere in the form of the ritual sacrifices of random people’s jobs. A Reuters investigation would later find more than 600 people who had been fired, suspended, or investigated for social media posts they made about Charlie Kirk — some of them merely quoting Kirk, a professional asshole who, among other things, pushed the “great replacement” theory and myths of white genocide.
Comedian Jimmy Kimmel became the most prominent victim of this crusade after making a fairly mild joke on his late night show. The actual upshot of the quip — which mocked Trump for his apparent disinterest in Kirk only days after the young man’s death — was completely ignored, and Kimmel was lambasted for showing insufficient grief over the newly canonized saint of MAGA. The chair of the Federal Communications Commission, Brendan Carr, successfully threatened Disney into taking Kimmel off the air — only to be mogged by the general public, which berated Disney into reinstating Kimmel’s show.
In a sense, this circus was business as usual. The amnesia of the elites, the tone-policing witch hunts, the pageantry of memorialization: these are the reflexive acts of a society on the verge of launching a systemic assault on civil liberties. But as much as the right wing tried to channel 9/11, and as much as corporations and media organizations and left-wing politicians played along, something about the way Americans communicate with each other was fundamentally different. Perhaps the first indication of where we were as a country was a video posted by a TikTok user at the Utah Valley University event, recorded just moments after the shooting. “It’s your boy, Elder TikTok!” he shouted. “Shots fired!”
“It’s your boy, Elder TikTok!” he shouted. “Shots fired!”
Despite the mass reprisals against Kirk’s shitposting detractors over the following weeks and months, the memeing continued apace. And very shortly after Kirk’s death, influencers on the right-wing fringe — like Candace Owens and Nick Fuentes — had almost compulsively fallen into conspiratorial theorizing about the shooting, their instincts settling the blame on (of course) Israel. Even the center of MAGA could not hold; the long, sustained sainting of Kirk was simply too incongruous with the deportation ASMR memes. Vice President JD Vance tried to stick with the serious tone — now, months later, he is the subject of an AI slop musical tribute to Kirk that has gone viral on TikTok, with the soaring hook (“We are Charlie Kiiiiiiiiiiirk”) a popular target for mockery.
2025 has been defined by Charlie Kirk, though not by what Charlie Kirk espoused, nor who he was, nor who his allies purport him to have been. The hysteria, the inanity, and the sheer incoherence surrounding his death has become emblematic of America. It took a decade before 9/11 jokes could really land, but Kirk’s death had been turned into a joke before the bullet even hit him. Politics is fully immersed in its postliterate era, and political violence, too, has become illegible.
Two days after Kirk was shot, law enforcement announced the arrest of his alleged killer. In a press conference, the governor of the state of Utah proceeded to read out loud a series of internet memes that had been scratched into bullet casings recovered with the alleged weapon.
The first — “notices bulge OWO what’s this?” — was a mocking reference to furry online sexual roleplay. The next, which ominously opened with “Hey fascist, catch,” ended with a series of arrows encoding a button combo strike in the video game Helldivers 2, a third-person shooter that satirizes fascism. The one after that was a reference to the Italian song “Bella ciao” (historically an antifascist anthem but also a generally catchy jingle). The governor wrapped up the list with the most ignominious possible conclusion, saying, “if you read this you are gay lmao,” making sure to carefully spell out each of the letters in the final abbreviation.
This should be understood as a genuinely humiliating moment for America, one in which our elected leaders succumbed to the murderous version of calling Moe’s Tavern and asking for Heywood Jablome. A civilized society does not heap furry sex memes on top of a grave.
Yet this act of vandalism on American dignity was the most responsible act the governor could undertake, given the circumstances. Just 24 hours earlier, someone — presumably in law enforcement — had leaked an internal bulletin to right-wing influencer Steven Crowder. “All cartridges have engraved wording on them, expressing transgender and anti-fascist ideology,” the memo said.
A civilized society does not heap furry sex memes on top of a grave
By reading aloud the messages on the bullets, the governor was broadcasting the closest thing to a manifesto for the alleged shooter. But he was also providing transparency into an investigation that had been riddled with irresponsible leaks and flagrant missteps. In the hours after the killing, FBI Director Kash Patel had shot off a quickfire post on X to declare that a suspect had been taken into custody, only for the FBI to have to announce, shortly thereafter, that that person was not a suspect and had been released. When Crowder published his ATF leak, the rumor that the shooter was trans exploded out of control. In carefully engaging with the truth of the bullets, Cox — probably unknowingly, given his remarks the following day — exonerated a vulnerable and politically persecuted community that is frequently slandered with falsely attributed mass shootings.
The right then attempted to pin the shooting on the shadowy forces of antifa, using “Hey fascist, catch” and “Bella ciao” as justification. Two weeks later, Trump would sign an executive order designating antifa a domestic terror organization (a designation that doesn’t exist) and then issue a national presidential security memorandum directing various departments and agencies to launch an expansive war on antifa. (The war on antifa is inextricable from Trump’s war on the English language, because, if you are literate, his opposition to anti-fascism necessarily raises the question of what Trumpism actually is.)
On a memorial episode of Kirk’s podcast, Stephen Miller, appearing alongside JD Vance, swore vengeance on the “networks” backing antifa. “With God as my witness, we are going to use every resource we have at the Department of Justice, Homeland Security, and throughout this government to identify, disrupt, dismantle, and destroy these networks and make America safe again for the American people. It will happen, and we will do it in Charlie’s name.”
Aside from the ambiguous bullet casings, there’s no apparent evidence that Kirk’s accused killer is antifa — there is neither a forthright declaration of political motivation, nor a total absence of it. One affidavit points to a romantic relationship being the motive; this is hardly made clear in any piece of writing by alleged shooter Tyler Robinson, let alone the infamous bullets. “remember how I was engraving bullets?” Robinson allegedly texted a friend. “The fuckin messages are mostly a big meme, if I see ‘notices bulge uwu’ on fox new I might have a stroke.”
We understand these acts of violence as political because of the circumstances more than anything else
There’s a reason why, under normal circumstances, broadcasting those types of details is considered bad form — such details have a tendency to spark copycat killings. Two weeks after Charlie Kirk was killed, a gunman opened fire at an ICE field office in Dallas, killing a detainee and wounding others before taking his own life. The alleged shooter, Joshua Jahn, left no manifesto that we know of, but an unused bullet — according to a photo released by law enforcement — had the phrase “ANTI-ICE” written on it in what looks like pen or marker.
The tonal weirdness of this micro-manifesto immediately led internet posters to compare the message on the bullets to a 2015 alleged hate crime in Mississippi where the phrase “Blacks Rule” had been spray-painted onto a driveway. Neither phrase is in common parlance; each is so jarring that it makes “hello my fellow kids” sound like convincing zoomer lingo. The fact that only a detainee and the shooter himself had been killed made the incident seem even more suspicious, especially to internet audiences (on both the right and the left) that had already spun themselves up into concocting conspiracy theories about Kirk’s killing.
Jahn’s brother told NBC News that his sibling “didn’t have strong feelings about ICE” and that “he wasn’t interested in politics on either side as far as I knew.” Independent journalist Ken Klippenstein reported that one of Jahn’s Steam handles was “#Impeachment,” presumably a reference to impeaching Trump. Some of his anonymous sources — apparently friends of Jahn’s — emphasize that this was an “ironic” mockery of earnest resistance libs. But another source made a subtle differentiation: “If it was ironic, it’s that half irony — where you’re half-kidding, half-serious, just in case.”
Individuals’ politics are often in flux, and the kind of person who willfully kills another is not, one might say, engaging with the world as they did before. Nevertheless, Jahn (born 1996) did not leave behind much in the way of a point of view; the same goes for Robinson (born 2003). We understand their acts of violence as political because of the circumstances more than anything else.
The apparent laconicism of this pair of zoomer killers is striking, given the wordiness of their predecessors. Even Luigi Mangione (born 1998) — accused of assassinating UnitedHealthcare CEO Brian Thompson last year — allegedly left a 260+ word missive for “the feds.” (That would be half a page if typed; it was handwritten, and so poorly that portions are indecipherable.) Over time, political killers have had less and less to say.
Anders Breivik (born 1979), who killed 77 people in Norway in 2011, left a 1,518 page manifesto. The 2019 Christchurch, New Zealand shooter (born 1990) left behind 74 pages. The 2019 El Paso shooter (born 1998) 10 pages; the 2022 Buffalo shooter (born 2003) left 180 pages that were extensively plagiarized from both Breivik and the Unabomber Ted Kaczynski.
Politics has become divorced from reality and reason
Perhaps this is not surprising. Literacy has been in steep decline in many parts of the world, including the United States, where most of these men were. A study that took place in 2015 tested a pool of undergraduates on how well they understood the opening of Charles Dickens’ Bleak House and concluded that over half “understood so little” that “they would not be able to read the novel on their own.” Of course, Dickens is not exactly known for his clear, legible prose — but alarmingly, the students in the study were English majors. High schools assign fewer books cover-to-cover, with the result that college students arrive at university and struggle to read a full book. The stresses of the pandemic and remote learning, too, left an indelible mark on the education of an entire cohort. As Gen Z grows older, zoomer parents report that they don’t like reading to their own children. A study published this year says that reading for pleasure is down 40 percent.
At the same time, politics has gotten more divorced from reality and reason. The results are dizzying when the sheer brainrot of the Trump administration collides with judges who are still operating under the assumption that words should mean things and refer to real objects. “We rule on facts, not on supposition or conjecture, and certainly not on fabrication or propaganda,” wrote a distraught appeals court judge in the lawsuit over Trump’s attempt to send the National Guard into Portland, Oregon. (She was the dissenting voice on the panel; the other two judges, Trump appointees, ruled in favor of allowing the president to send in the Guard.)
But incoherence has become an entirely normal property of politics, and incoherent violence — the ICE raids, third country deportations, drone boat strikes — is central, rather than incidental, to the political system. In this sense, the subliterate zoomer killers are not at the fringe of society, but are the epitome of it.
The media has spent the last few months trying to make sense out of nonsense, attempting to conjure motive, manifesto, and meaning out of the dumbest shit scrawled onto bullets. These were sad attempts to impose meaning on an increasingly incoherent world by a literati that has not yet accepted its irrelevance in a postliterate society. But the most humiliating display of literate obliviousness in the face of the total collapse of meaning, however, was Ezra Klein’s bizarre eulogy to Charlie Kirk. The now-infamous column (“Charlie Kirk Was Practicing Politics the Right Way”) can best be understood as an expression of class solidarity. Klein, I would argue, sees both himself and Kirk as being Debate Guys, wordcels who engage in the marketplace of ideas and let speech sort itself out into political action.
Ezra Klein is an artifact of the politics of literacy, a paradigm that is waning faster than my fingers can type these useless, useless words. But Charlie Kirk’s Debate Guy persona was a meme layered on top of sophisticated machinery. His Talking Points USA and Professor Watchlist were very much about action in the real world. In one deleted tweet, Kirk claimed that TPUSA had sent “80+ buses full of patriots” to DC for what would become the January 6th insurrection.
An artifact of the politics of literacy
Kirk’s podcast was a form of infrastructure, one controlled by Kirk, and not The New York Times or another brand. The parasocial relationships he built with his audience granted him direct access to President Donald Trump. Kirk understood that his nonviolent engagement with the public was a form of amusement to fill the void, a conversion mechanism to boost subscriber rates, imbued with as much meaning as a daily crossword puzzle or Wordle.
Kirk did not commit violence, not because he abhorred it, but because committing violence was someone else’s job. Last year, he called for using whips against migrants, saying, “Of course you should be able to use whips against foreigners that are coming into your country. Why is that controversial?” In early June of this year, as the president deployed troops to Los Angeles, Kirk publicly advocated for invoking the Insurrection Act of 1807 to crush the immigration protests. And in August, he called for “federalizing” the district of Columbia, saying, “Roll in the tanks, bring in the military.”
With his close relationship to the commander in chief of the United States of America, Charlie Kirk was no mere talker, idea-peddler, or purveyor of discourse. He built an empire on legitimizing violence and harvesting the enthusiasm and glee around it. Even before his death became a pretext to enact violence on American cities, he had already substantively shaped history. Charlie Kirk was a part of the real world in a way that Ezra Klein will never be.
One might even say that Kirk already understood that the future of politics was aura farming and shitposting, switching fluidly between calling for “massive indictments” against Trump’s political enemies and telling Taylor Swift to “submit to your husband.” For Kirk and for much of society today, words are not expressions with referents, but rather, performative speech acts with specific functions — in his case, owning the libs.
You do not bring a persuasive argument to a gunfight
The most significant resistance to Trumpism, too, appears to be abandoning the realm of literate politics; after all, you do not bring a persuasive argument to a gunfight. In Portland, Oregon, inflatable frog suits — a symbol imbued with no inherent meaning or political point of view — became de rigueur. But perhaps the most telling sign is that resistance against ICE in Chicago and New York is best expressed not in slogans but in whistles and car honks.
It’s useless to call for civil debate as “politics in the right way”; politics has moved beyond words. Where there are words at all, they are but a way to express a meme, a vibe, an aesthetic. They are a method to channel brainrot, like any other medium of communication. To expect words to mean words, for them to attach to objects in time and space and to line up with any internal logic — this is the sort of cringe that will fade into the periphery along with the millennial pause, that half-second of silence where the older generation gathers their thoughts.
And we can understand this rise in political violence as something that exists on the same wavelength as the illegible politics that govern our society today. Like bombing shipwrecked sailors in the name of fighting drug trafficking, it is action for action’s sake, as crass and consequential as a Pokémon deportation meme.
A post, a podcast, a screenshot, a meme, a whistle, a bullet — in all things, only the medium is the message.
Artificial Intelligence
Ronnie Sheth, CEO, SENEN Group: Why now is the time for enterprise AI to ‘get practical'
Before you set sail on your AI journey, always check the state of your data – because if there is one thing likely to sink your ship, it is data quality.
Gartner estimates that poor data quality costs organisations an average of $12.9 million each year in wasted resources and lost opportunities. That’s the bad news. The good news is that organisations are increasingly understanding the importance of their data quality – and less likely to fall into this trap.
That’s the view of Ronnie Sheth, CEO of AI strategy, execution and governance firm SENEN Group. The company focuses on data and AI advisory, operationalisation and literacy, and Sheth notes she has been in the data and AI space ‘ever since [she] was a corporate baby’, so there is plenty of real-world experience behind the viewpoint. There is also plenty of success; Sheth notes that her company has a 99.99% client repeat rate.
“If I were to be very practical, the one thing I’ve noticed is companies jump into adopting AI before they’re ready,” says Sheth. Companies, she notes, will have an executive direction insisting they adopt AI, but without a blueprint or roadmap to accompany it. The result may be impressive user numbers, but with no measurable outcome to back anything up.
Even as recently as 2024, Sheth saw many organisations struggling because their data was ‘nowhere where it needed to be.’ “Not even close,” she adds. Now, the conversation has turned more practical and strategic. Companies are realising this, and coming to SENEN Group initially to get help with their data, rather than wanting to adopt AI immediately.
“When companies like that come to us, the first course of order is really fixing their data,” says Sheth. “The next course of order is getting to their AI model. They are building a strong foundation for any AI initiative that comes after that.
“Once they fix their data, they can build as many AI models as they want, and they can have as many AI solutions as they want, and they will get accurate outputs because now they have a strong foundation,” Sheth adds.
With breadth and depth in expertise, SENEN Group allows organisations to right their course. Sheth notes the example of one customer who came to them wanting a data governance initiative. Ultimately, it was the data strategy which was needed – the why and how, the outcomes of what they were trying to do with their data – before adding in governance and providing a roadmap for an operating model. “They’ve moved from raw data to descriptive analytics, moving into predictive analytics, and now we’re actually setting up an AI strategy for them,” says Sheth.
It is this attitude and requirement for practical initiatives which will be the cornerstone of Sheth’s discussion at AI & Big Data Expo Global in London this week. “Now would be the time to get practical with AI, especially enterprise AI adoption, and not think about ‘look, we’re going to innovate, we’re going to do pilots, we’re going to experiment,’” says Sheth. “Now is not the time to do that. Now is the time to get practical, to get AI to value. This is the year to do that in the enterprise.”
Watch the full video conversation with Ronnie Sheth below:
Artificial Intelligence
Apptio: Why scaling intelligent automation requires financial rigour
Greg Holmes, Field CTO for EMEA at Apptio, an IBM company, argues that successfully scaling intelligent automation requires financial rigour.
The “build it and they will come” model of technology adoption often leaves a hole in the budget when applied to automation. Executives frequently find that successful pilot programmes do not translate into sustainable enterprise-wide deployments because initial financial modelling ignored the realities of production scaling.
“When we integrate FinOps capabilities with automation, we’re looking at a change from being very reactive on cost management to being very proactive around value engineering,” says Holmes.
This shifts the assessment criteria for technical leaders. Rather than waiting “months or years to assess whether things are getting value,” engineering teams can track resource consumption – such as cost per transaction or API call – “straight from the beginning.”
The unit economics of scaling intelligent automation
Innovation projects face a high mortality rate. Holmes notes that around 80 percent of new innovation projects fail, often because financial opacity during the pilot phase masks future liabilities.
“If a pilot demonstrates that automating a process saves, say, 100 hours a month, leadership thinks that’s really successful,” says Holmes. “But what it fails to track is that the pilot sometimes is running on over-provisioned infrastructure, so it looks like it performs really well. But you wouldn’t over-provision to that degree during a real production rollout.”
Moving that workload to production changes the calculus. The requirements for compute, storage, and data transfer increase. “API calls can multiply, exceptions and edge cases appear at volume that might have been out of scope for the pilot phase, and then support overheads just grow as well,” he adds.
To prevent this, organisations must track the marginal cost at scale. This involves monitoring unit economics, such as the cost per customer served or cost per transaction. If the cost per customer increases as the customer base grows, the business model is flawed.
Conversely, effective scaling should see these unit costs decrease. Holmes cites a case study from Liberty Mutual where the insurer was able to find around $2.5 million of savings by bringing in consumption metrics and “not just looking at labour hours that they were saving.”
However, financial accountability cannot sit solely with the finance department. Holmes advocates for putting governance “back in the hands of the developers into their development tools and workloads.”
Integration with infrastructure-as-code tools like HashiCorp Terraform and GitHub allows organisations to enforce policies during deployment. Teams can spin up resources programmatically with immediate cost estimates.
“Rather than deploying things and then fixing them up, which gets into the whole whack-a-mole kind of problem,” Holmes explains, companies can verify they are “deploying the right things at the right time.”
When scaling intelligent automation, tension often simmers between the CFO, who focuses on return on investment, and the Head of Automation, who tracks operational metrics like hours saved.
“This translation challenge is precisely what TBM (Technology Business Management) and Apptio are designed to solve,” says Holmes. “It’s having a common language between technology and finance and with the business.”
The TBM taxonomy provides a standardised framework to reconcile these views. It maps technical resources (such as compute, storage, and labour) into IT towers and further up to business capabilities. This structure translates technical inputs into business outputs.
“I don’t necessarily know what goes into all the IT layers underneath it,” Holmes says, describing the business user’s perspective. “But because we’ve got this taxonomy, I can get a detailed bill that tells me about my service consumption and precisely which costs are driving it to be more expensive as I consume more.”
Addressing legacy debt and budgeting for the long-term
Organisations burdened by legacy ERP systems face a binary choice: automation as a patch, or as a bridge to modernisation. Holmes warns that if a company is “just trying to mask inefficient processes and not redesign them,” they are merely “building up more technical debt.”
A total cost of ownership (TCO) approach helps determine the correct strategy. The Commonwealth Bank of Australia utilised a TCO model across 2,000 different applications – of various maturity stages – to assess their full lifecycle costs. This analysis included hidden costs such as infrastructure, labour, and the engineering time required to keep automation running.
“Just because of something’s legacy doesn’t mean you have to retire it,” says Holmes. “Some of those legacy systems are worth maintaining just because the value is so good.”
In other cases, calculating the cost of the automation wrappers required to keep an old system functional reveals a different reality. “Sometimes when you add up the TCO approach, and you’re including all these automation layers around it, you suddenly realise, the real cost of keeping that old system alive is not just the old system, it’s those extra layers,” Holmes argues.
Avoiding sticker shock requires a budgeting strategy that balances variable costs with long-term commitments. While variable costs (OPEX) offer flexibility, they can fluctuate wildly based on demand and engineering efficiency.
Holmes advises that longer-term visibility enables better investment decisions. Committing to specific technologies or platforms over a multi-year horizon allows organisations to negotiate economies of scale and standardise architecture.
“Because you’ve made those longer term commitments and you’ve standardised on different platforms and things like that, it makes it easier to build the right thing out for the long term,” Holmes says.
Combining tight management of variable costs with strategic commitments supports enterprises in scaling intelligent automation without the volatility that often derails transformation.
IBM is a key sponsor of this year’s Intelligent Automation Conference Global in London on 4-5 February 2026. Greg Holmes and other experts will be sharing their insights during the event. Be sure to check out the day one panel session, Scaling Intelligent Automation Successfully: Frameworks, Risks, and Real-World Lessons, to hear more from Holmes and swing by IBM’s booth at stand #362.
See also: Klarna backs Google UCP to power AI agent payments

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events including the Cyber Security & Cloud Expo. Click here for more information.
AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.
Artificial Intelligence
FedEx tests how far AI can go in tracking and returns management
FedEx is using AI to change how package tracking and returns work for large enterprise shippers. For companies moving high volumes of goods, tracking no longer ends when a package leaves the warehouse. Customers expect real-time updates, flexible delivery options, and returns that do not turn into support tickets or delays.
That pressure is pushing logistics firms to rethink how tracking and returns operate at scale, especially across complex supply chains.
This is where artificial intelligence is starting to move from pilot projects into daily operations.
FedEx plans to roll out AI-powered tracking and returns tools designed for enterprise shippers, according to a report by PYMNTS. The tools are aimed at automating routine customer service tasks, improving visibility into shipments, and reducing friction when packages need to be rerouted or sent back.
Rather than focusing on consumer-facing chatbots, the effort centres on operational workflows that sit behind the scenes. These are the systems enterprise customers rely on to manage exceptions, returns, and delivery changes without manual intervention.
How FedEx is applying AI to package tracking
Traditional tracking systems tell customers where a package is and when it might arrive. AI-powered tracking takes a step further by utilising historical delivery data, traffic patterns, weather conditions, and network constraints to flag potential delays before they happen.
According to the PYMNTS report, FedEx’s AI tools are designed to help enterprise shippers anticipate issues earlier in the delivery process. Instead of reacting to missed delivery windows, shippers may be able to reroute packages or notify customers ahead of time.
For businesses that ship thousands of parcels per day, that shift matters. Small improvements in prediction accuracy can reduce support calls, lower refund rates, and improve customer trust, particularly in retail, healthcare, and manufacturing supply chains.
This approach also reflects a broader trend in enterprise software, in which AI is being embedded into existing systems rather than introduced as standalone tools. The goal is not to replace logistics teams, but to minimise the number of manual decisions they need to make.
Returns as an operational problem, not a customer issue
Returns are one of the most expensive parts of logistics. For enterprise shippers, particularly those in e-commerce, returns affect warehouse capacity, inventory planning, and transportation costs.
According to PYMNTS, FedEx’s AI-enabled returns tools aim to automate parts of the returns process, including label generation, routing decisions, and status updates. Companies that use AI to determine the most efficient return path may be able to reduce delays and avoid returning things to the wrong facility.
This is less about convenience and more about operational discipline. Returns that sit idle or move through the wrong channel create cost and uncertainty across the supply chain. AI systems trained on past return patterns can help standardise decisions that were previously handled case by case.
For enterprise customers, this type of automation supports scale. As return volumes fluctuate, especially during peak seasons, systems that adjust automatically reduce the need for temporary staffing or manual overrides.
What FedEx’s AI tracking approach says about enterprise adoption
What stands out in FedEx’s approach is how narrowly focused the AI use case is. There are no broad claims about transformation or reinvention. The emphasis is on reducing friction in processes that already exist.
This mirrors how other large organisations are adopting AI internally. In a separate context, Microsoft described a similar pattern in its article. The company outlined how AI tools were rolled out gradually, with clear limits, governance rules, and feedback loops.
While Microsoft’s case focused on knowledge work and FedEx’s on logistics operations, the underlying lesson is the same. AI adoption tends to work best when applied to specific activities with measurable results rather than broad promises of efficiency.
For logistics firms, those advantages include fewer delivery exceptions, lower return handling costs, and better coordination between shipping partners and enterprise clients.
What this signals for enterprise customers
For end-user companies, FedEx’s move signals that logistics providers are investing in AI as a way to support more complex shipping demands. As supply chains become more distributed, visibility and predictability become harder to maintain without automation.
AI-driven tracking and returns could also change how businesses measure logistics performance. Companies may focus less on delivery speed and more on how quickly issues are recognised and resolved.
That shift could influence procurement decisions, contract structures, and service-level agreements. Enterprise customers may start asking not just where a shipment is, but how well a provider anticipates problems.
FedEx’s plans reflect a quieter phase of enterprise AI adoption. The focus is less on experimentation and more on integration. These systems are not designed to draw attention but to reduce noise in operations that customers only notice when something goes wrong.
(Photo by Liam Kevan)
See also: PepsiCo is using AI to rethink how factories are designed and updated
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events, click here for more information.
AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.
-
Fintech6 months agoRace to Instant Onboarding Accelerates as FDIC OKs Pre‑filled Forms | PYMNTS.com
-
Cyber Security7 months agoHackers Use GitHub Repositories to Host Amadey Malware and Data Stealers, Bypassing Filters
-
Fintech6 months ago
DAT to Acquire Convoy Platform to Expand Freight-Matching Network’s Capabilities | PYMNTS.com
-
Fintech5 months agoID.me Raises $340 Million to Expand Digital Identity Solutions | PYMNTS.com
-
Artificial Intelligence7 months agoNothing Phone 3 review: flagship-ish
-
Artificial Intelligence7 months agoThe best Android phones
-
Fintech4 months agoTracking the Convergence of Payments and Digital Identity | PYMNTS.com
-
Fintech7 months agoIntuit Adds Agentic AI to Its Enterprise Suite | PYMNTS.com
