Drinkbox Studios is back with a new title called Blighted, a 3D Metroidvania that promises to take the concept of generational memory to some bizarre and compelling new places. It will have a solo or co-op story that sees players fighting their way t

AGI will be embedded into humanoid robots, which makes white-collar and blue-collar jobs a target ... More for walking/talking automation.getty In today’s column, I examine the highly worrisome qualms expressed that the advent of artificial general intelligence (AGI) is likely to usurp white-collar jobs. The stated concern is that since AGI will be on par with human intellect, any job that relies principally on intellectual pursuits such as typical white-collar work will be taken over via the use of AGI. Employers will realize that rather than dealing with human white-collar workers, they can more readily get the job done via AGI. This, in turn, has led to a rising call that people should aim toward blue-collar jobs, doing so because (presumably) those forms of employment will not be undercut via AGI. Sorry to say, that misses the bigger picture, namely that AGI when combined with humanoid robots is coming not only for white-collar jobs but also blue-collar jobs too. It is a proverbial double-whammy when it comes to the attainment of AGI. Let’s talk about it. This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here). Heading Toward AGI And ASI First, some fundamentals are required to set the stage for this weighty discussion. There is a great deal of research going on to further advance AI. The general goal is to either reach artificial general intelligence (AGI) or maybe even the outstretched possibility of achieving artificial superintelligence (ASI). AGI is AI that is considered on par with human intellect and can seemingly match our intelligence. ASI is AI that has gone beyond human intellect and would be superior in many if not all feasible ways. The idea is that ASI would be able to run circles around humans by outthinking us at every turn. For more details on the nature of conventional AI versus AGI and ASI, see my analysis at the link here. We have not yet attained AGI. In fact, it is unknown as to whether we will reach AGI, or that maybe AGI will be achievable in decades or perhaps centuries from now. The AGI attainment dates that are floating around are wildly varying and wildly unsubstantiated by any credible evidence or ironclad logic. ASI is even more beyond the pale when it comes to where we are currently with conventional AI. AGI Problem Only Half Seen Before launching into the primary matter at hand in this discussion, let’s contemplate a famous quote attributed to Charles Kettering, a legendary inventor, who said, “A problem well-stated is a problem half-solved.” I bring this up because those loud clamors right now about the assumption that AGI will replace white-collar workers are only seeing half of the problem. The problem as they see it is that since AGI is intellectually on par with humans, and since white-collar workers mainly use intellect in their work endeavors, AGI is going to be used in place of humans for white-collar work. I will in a moment explain why that’s only half of the problem and there is a demonstrative need to more carefully and fully articulate the nature of the problem. Will AGI Axiomatically Take White-Collar Jobs On a related facet, the belief that AGI will axiomatically replace white-collar labor makes a number of other related key assumptions. I shall briefly explore those and then come back to why the problem itself is only half-baked. The cost of using AGI for doing white-collar work will need to be presumably a better ROI choice over human workers. If not, then an employer would be wiser to stick with humans rather than employing AGI. There seems to often be an unstated belief that AGI is necessarily going to be a less costly route than employing humans. We don’t know yet what the cost of using AGI will be. It could be highly expensive. Indeed, some are worried that the world will divide into the AGI haves and AGI have-nots, partially due to the exorbitant cost that AGI might involve. If AGI is free to use, well, that would seem to be the nail in the coffin related to using human workers for the same capacity. Another angle is that AGI is relatively inexpensive in comparison to human labor. In that case, the use of AGI is likely to win over human labor usage. But if the cost of AGI is nearer to the cost of human labor (all in), or more so, then employers would rationally need to weigh the use of one versus the other. Note that when referring to the cost of human labor, there is more to that calculation than simply the dollar-hour labor rate per se. There are lots of other less apparent costs, such as the cost to manage human labor, the cost of dealing with HR-related issues, and many other factors that come into the weighty matter. Thus, an AGI versus human labor ROI will be more complex than it might seem at an initial glance. In addition, keep in mind that AGI would seemingly be readily switched on and off, and have other capacities that human labor would not equally tend to allow. The Other Half Is Coming Too Assume that by and large the advent of AGI will decimate the need for white-collar human labor. The refrain right now is that people should begin tilting toward blue-collar jobs as an alternative to white-collar jobs. This is a logical form of thinking in the sense that AGI as an intellectual mechanism would be unable to compete in jobs that involve hands-on work. A plumber needs to come to your house and do hands-on work to fix your plumbing. This is a physicality that entails arriving at your physical home, physically bringing and using tools, and physically repairing your faulty home plumbing. A truck driver likewise needs to sit in the cab of a truck and drive the vehicle. These are physically based tasks. There is no getting around the fact that these are hands-on activities. Aha, yes, those are physical tasks, but that doesn’t necessarily mean that only human hands can perform them. The gradual emergence of humanoid robots will provide an alternative to human hands. A humanoid robot is a type of robot that is built to resemble a human in form and function. You’ve undoubtedly seen those types of robots in the many online video recordings showing them walking, jumping, grasping at objects, and so on. A tremendous amount of active research and development is taking place to devise humanoid robots. They look comical right now. You watch those videos and laugh when the robot trips over a mere stick lying on the ground, something that a human would seldom trip over. You scoff when a robot tries to grasp a coffee cup and inadvertently spills most of the coffee. It all seems humorous and a silly pursuit. Keep in mind that we are all observing the development process while it is still taking place. At some point, those guffaws of the humanoid robots will lessen. Humanoid robots will be as smooth and graceful as humans. This will continue to be honed. Eventually, humanoid robots will be less prone to physical errors that humans make. In a sense, the physicality of a humanoid robot will be on par with humans, if not better, due to its mechanical properties. Do not discount the coming era of quite physically capable humanoid robots. AGI And Humanoid Robots Pair Up You might remember that in The Wonderful Wizard of Oz, the fictional character known as The Strawman lacked a brain. Without seeming to anthropomorphize humanoid robots, the current situation is that those robots typically use a form of AI that is below the sophistication level of modern generative AI. That’s fine for now due to the need to first ensure that the physical movements of the robots get refined. I have discussed that a said-to-be realm of Physical AI is going to be a huge breakthrough with incredible ramifications, see my analysis at the link here. The idea underlying Physical AI is that the AI of today is being uplifted by doing data training on the physical world. This also tends to include the use of World Models, consisting of broad constructions about how the physical world works, such as that we are bound to operate under conditions of gravity, and other physical laws of nature, see the link here. The bottom line here is that there will be a close pairing of robust AI with humanoid robots. Imagine what a humanoid robot can accomplish if it is paired with AGI. I’ll break the suspense and point out that AGI paired with humanoid robots means that those robots readily enter the blue-collar worker realm. Suppose your plumbing needs fixing. No worries, a humanoid robot that encompasses AGI will be sent to your home. The AGI is astute enough to carry on conversations with you, and the AGI also fully operates the robot to undertake the plumbing tasks. How did the AGI-paired humanoid robot get to your home? Easy-peasy, it drove a car or truck to get there. I’ve previously predicted that all the work on devising autonomous vehicles and self-driving cars will get shaken up once we have suitable humanoid robots devised. There won’t be a need for a vehicle to contain self-driving capabilities. A humanoid robot will simply sit in the driver’s seat and drive the vehicle. This is a much more open-ended solution than having to craft components that go into and onto a vehicle to enable self-driving. See my coverage at the link here. Timing Is Notable One of the reasons that many do not give much thought to the pairing of AGI with humanoid robots is that today’s humanoid robots seem extraordinarily rudimentary and incapable of performing physical dexterity tasks on par with human capabilities. Meanwhile, there is brazen talk that AGI is just around the corner. AGI is said to be within our grasp. Let’s give the timing considerations a bit of scrutiny. There are three primary timing angles: Option 1: AGI first, then humanoid robots. AGI is attained before humanoid robots are sufficiently devised. Option 2: Humanoid robots first, then AGI. Humanoid robots are physically fluently adept before AGI is attained. Option 3: AGI and humanoid robots arrive about at the same time. AGI is attained and at the same time, it turns out that humanoid robots are fluently adept too, mainly by coincidence and not due to any cross-mixing. A skeptic would insist that there is a fourth possibility, consisting of the possibility that we never achieve AGI and/or we fail to achieve sufficiently physically capable humanoid robots. I am going to reject that possibility. Perhaps I am overly optimistic, but it seems to me that we will eventually attain AGI, and we will eventually attain physically capable humanoid robots. I shall next respectively consider each of the three genuinely reasonable possibilities. Option 1: AGI First, Then Humanoid Robots What if we manage to attain AGI before we manage to achieve physically fluent humanoid robots? That’s just fine. We would indubitably put AGI to work as a partner with humans in figuring out how we can push along the budding humanoid robot development process. It seems nearly obvious that with AGI’s capable assistance, we would overcome any bottlenecks and soon enough arrive at top-notch physically adept humanoid robots. At that juncture, we would then toss AGI into the humanoid robots and have ourselves quite an amazing combination. Option 2: Humanoid Robots First, Then AGI Suppose that we devise very physically adept humanoid robots but have not yet arrived at AGI. Are we in a pickle? Nope. We could use conventional advanced AI inside those humanoid robots. The combination would certainly be good enough for a wide variety of tasks. The odds are that we would need to be cautious about where such robots are utilized. Nonetheless, we would have essentially walking, talking, and productive humanoid robots. If AGI never happens, oh well, we end up with pretty good humanoid robots. On the other hand, once we arrive at AGI, those humanoid robots will be stellar. It’s just a matter of time. Option 3: AGI And Humanoid Robots At The Same Time Let’s consider the potential of AGI and humanoid robots perchance being attained around the same time. Assume that this timing isn’t due to an outright cross-mixing with each other. They just so happen to advance on a similar timeline. I tend to believe that’s the most likely of the three scenarios. Here’s why. First, despite all the hubris about AGI being within earshot, perhaps in the next year or two, which is a popular pronouncement by many AI luminaries, I tend to side with recent surveys of AI developers that put the date around the year 2040 (see my coverage at the link here). Some AI luminaires sneakily play with the definition of AGI in hopes of making their predictions come true sooner, akin to moving the goalposts to easily score points. For my coverage on Sam Altman’s efforts of moving the cheese regarding AGI attainment, see the link here. Second, if you are willing to entertain the year 2040 as a potential date for achieving AGI, that’s about 15 years from now. In my estimation, the advancements being made in humanoid robots will readily progress such that by 2040 they will be very physically adept. Probably be sooner, but let’s go with the year 2040 for ease of contemplation. In my view, we will likely have humanoid robots doing well enough that they will be put into use prior to arriving at AGI. The pinnacle of robust humanoid robots and the attainment of AGI will roughly coincide with each other. Two peas in a pod.Impact Of Enormous Consequences In an upcoming column posting, I will examine the enormous consequences of having AGI paired with fully physically capable humanoid robots. As noted above, this will have a humongous impact on white-collar work and blue-collar work. There will be gargantuan economic impacts, societal impacts, cultural impacts, and so on. Some final thoughts for now. A single whammy is already being hotly debated. The debates currently tend to be preoccupied with the loss of white-collar jobs due to the attainment of AGI. A saving grace seems to be that at least blue-collar jobs are going to be around and thriving, even once AGI is attained. The world doesn’t seem overly gloomy if you can cling to the upbeat posture that blue-collar tasks remain intact. The double whammy is a lot more to take in. But the double whammy is the truth. The truth needs to be faced. If you are having doubts as a human about the future, just remember the famous words of Vince Lombardi: “Winners never quit, and quitters never win.” Humankind can handle the double whammy. Stay tuned for my upcoming coverage of what this entails.

A significant cyber breach at His Majesty’s Revenue and Customs (HMRC) that saw scammers cheat the public purse out of approximately £47m has been met with dismay from security experts thanks to the sheer simplicity of the attack, which originated via account takeover attempts on legitimate taxpayers. HMRC disclosed the breach to a Treasury Select Committee this week, revealing that hackers accessed the online accounts of about 100,000 people via phishing attacks and managed to claim a significant amount of money in tax rebates before being stopped. It is understood that those individuals affected have been contacted by HMRC – they have not personally lost any money and are not themselves in any trouble. Arrests in the case have already been made. During proceedings, HMRC also came in for criticism by the committee’s chair Meg Hillier, who had learned about the via an earlier news report on the matter, over the length of time taken to come clean over the incident. With phishing emails sent to unwitting taxpayers identified as the initial attack vector for the scammers, HMRC might feel relieved that it has dodged full blame for the incident. But according to Will Richmond-Coggan, a partner specialising in data and cyber disputes at law firm Freeths, even though the tax office had gone to pains to stress its own systems were never actually compromised, the incident underscored just how widespread the consequences of cyber attacks can be – snowballing from simple origins into a multimillion pound loss. “It is clear from HMRC's explanation that the crime against HMRC was only possible because of earlier data breaches and cyber attacks,” said Richmond-Coggan. “Those earlier attacks put personal data in the hands of the criminals which enabled them to impersonate tax payers and apply successfully to claim back tax.” Meanwhile, Gerasim Hovhannisyan, CEO of EasyDMARC, an email security provider, pointed out that phishing against both private individuals and businesses and other organisations had long ago moved beyond the domain of scammers chancing their luck. While this type of scattergun fraud remains a potent threat, particularly to consumers who may not be informed about cyber security matters – the scale of the HMRC phish surely suggests a targeted operation, likely using carefully crafted email purporting to represent HMRC itself, designed to lure self-assessment taxpayers into handing over their accounts. Not only that, but generative artificial intelligence (GenAI) means targeted phishing operations have become exponentially more dangerous in a very short space of time, added Hovhannisyan. “[It] has made [phishing] scalable, polished, and dangerously convincing, often indistinguishable from legitimate communication. And while many organisations have strengthened their security perimeters, email remains the most consistently exploited and underestimated attack vector,” he said. “These scams exploit human trust, using urgency, authority, and increasingly realistic impersonation tactics. If HMRC can be phished, anyone can.” Added Hovhannisyan: “What’s more alarming is that the Treasury Select Committee only learned of the breach through the news. When £47m is stolen through impersonation, institutions can’t afford to stay quiet. Delayed disclosure erodes trust, stalls response, and gives attackers room to manoeuvre.” Once again a service’s end-users have turned out to be the source of a cyber attack and as such, whether they are internal or – as in this case – external, are often considered an organisation’s first line of defence. However, it is not always wise to take this approach, and for an organisation like HMRC daily engaging with members of the public, it is also not really possible. Security education is a difficult proposition at the best of times and although the UK’s National Cyber Security Centre (NCSC) provides extensive advice and guidance on spotting and dealing with phishing emails for consumers – it also operates a phishing reporting service that as of April 2025 has received over 41 million scam reports – bodies like HMRC cannot rely on everybody having visited the NCSC’s website. As such, Mike Britton, chief information officer (CIO) at Abnormal AI, a specialist in phishing, social engineering and account takeover prevention, argued that HMRC could and should have done more from a technical perspective. “Governments will always be a high tier target for cyber criminals due to the valuable information they hold. In fact, attacks against this sector are rising,” he said. “In this case, it looks like criminals utilised account take over to conduct fraud. To combat this, multifactor authentication (MFA) is key, but as attacks grow more sophisticated, further steps must be taken.” Britton said organisations like HMRC really needed to consider adopting more layered security strategies, not only including MFA but also incorporating wider visibility and unified controls across its IT systems. Account takeover attacks such as the ones seen in this incident can unfold quickly, he added, so its cyber function should also be equipped with the tools to identify and remediate compromised accounts on the fly. Read more about trends in phishing Quishing, meaning QR code phishing, is an offputting term for an on-the-rise attack method. Learn how to defend against it. A healthy dose of judicious skepticism is crucial to preventing phishing attacks, said David Fine, supervisory special agent at the FBI, during a presentation at a HIMSS event. Exchange admins got a boost from Microsoft when it improved how it handles DMARC authentication failures to help organisations fight back from email-based attacks on their users.

House in Palm Springs | © Sydney Turturro via Unsplash Moving from an apartment to a house is a major life milestone. It usually means more space, more responsibility, and more freedom. But unless you plan it right, it can also come with more stress.  Whether upgrading to accommodate a growing family or simply looking for more room to breathe, here are five essential steps to help you move from an apartment to a house confidently and easily. 1. Start with a Clear Plan and Timeline One of the most common mistakes people make when moving from an apartment to a house is underestimating how long it takes. It’s not just about packing up your belongings; it’s about handling logistics, paperwork, and scheduling around daily life.  As soon as you know your moving date, create a moving checklist.  Outline what needs to be done weekly: notifying your landlord, scheduling the elevator if you’re in a high-rise, collecting packing materials, and booking your moving company. Planning ahead helps you avoid last-minute stress and unexpected costs. If possible, give yourself at least 6–8 weeks. That gives you enough time to declutter, coordinate with service providers, and ensure you’re fully prepared for move-in day. The earlier you start, the smoother everything flows. Hiring professional movers early in the process can also secure your preferred date and provide access to helpful services, such as packing, storage, or specialized transportation. With everything scheduled well in advance, you’ll have the peace of mind needed to focus on your new adventure. 2. Downsize Before You Upsize It may sound counterintuitive, but moving to a bigger space doesn’t mean you should bring everything with you.  Over time, we accumulate furniture, clothes, gadgets, and kitchen tools that serve little purpose. And in a small apartment, many of these items might have been crammed into closets or storage bins and forgotten altogether.  Now’s the perfect time to declutter and lighten the load before the move. Start by walking through your apartment and taking stock of everything. Ask yourself what truly adds value to your life and what’s just taking up space. If you haven’t used something in over a year, it’s probably safe to let it go. You can donate, sell, or recycle items as needed. A good rule of thumb is to be ruthless. A cleaner move means a cleaner start in your new home. By purging the excess, you’ll reduce moving costs and arrive at your new house with a fresh mindset. There’s no sense in transporting items you no longer want or need. Instead, you’ll be able to unpack more quickly and enjoy your new space without clutter. 3. Prepare for a Different Kind of Space Living in a house is very different from apartment life. The layout, square footage, and storage options all change, which means your furniture and lifestyle habits may also need to adapt. That cozy loveseat that fits perfectly in your apartment living room might look dwarfed in a larger house.  Before moving, visit the house if possible and take room measurements.  Consider creating a rough floor plan to determine where each piece of furniture will fit. This not only helps your local movers place items on move-in day, but it also ensures you don’t waste time and energy relocating things that won’t work in the new space. Apps and online tools can help you visualize your layout ahead of time. Beyond furniture, also think about what your new home may need.  Will you have a backyard that needs maintenance? A garage that requires storage shelving? An extra guest room or home office that needs furnishing?  While you don’t have to buy everything at once, it’s smart to budget for future purchases so you can comfortably and intentionally grow into your home. 4. Handle Utilities, Address Changes, and Logistics © Peter Thomas via Unsplash © Mitch via Unsplash Unlike apartments, where utilities may be partially covered or managed by the landlord, houses typically require you to set up and manage everything yourself.  This includes electricity, water, gas, internet, trash collection, and sometimes even lawn care services. Don’t wait until the last minute; contact providers at least a week before your move to schedule installation or transfers. At the same time, update your address with your bank, subscription services, and relevant government agencies. This helps ensure you continue to receive important mail and prevents service disruptions. If you’re moving within the same city, this can be fairly straightforward. If you’re moving to a different region or province, however, make sure you check for local utility providers and regional services. Elevator bookings and parking permits are other key details to address, especially when moving out of an apartment in a busy area.  Confirm all building rules and moving hours in advance, and inform your movers so they can plan accordingly. Clear communication on these details makes the moving day smoother for everyone involved. 5. Rely on a Trusted Moving Partner Perhaps the most important step in this process is choosing the right moving company.  Apartment-to-house moves require experience, careful coordination, and physical effort, especially when dealing with tight stairwells, narrow hallways, or long distances from the apartment to the truck.  A professional moving team can handle the logistics efficiently while protecting your belongings from damage. Instead of doing it all yourself, you can count on us to carry the load literally. We bring the right equipment, vehicles, and muscle, so you don’t have to worry about heavy lifting or unexpected delays. More importantly, we offer peace of mind during an exciting and overwhelming time. A good moving experience sets the tone for your new chapter. Let us help make that transition smooth, stress-free, and even enjoyable. Final Word Moving from an apartment to a house is more than just a physical shift; it’s a lifestyle change. With the right planning, thoughtful decisions, and support from experienced movers, you can make the process simple and even fun. Whether it’s your first home or your dream upgrade, we’re here to guide you every step of the way. Frequently Asked Questions  1. How far in advance should I book a moving company when moving from an apartment to a house? We recommend booking your moving company at least 4–6 weeks in advance, especially during peak moving seasons (spring and summer). This gives you the best chance to secure your preferred date and time while also allowing time for proper planning, packing, and coordination with building management if needed. 2. What’s the best way to downsize before moving into a house? Even though you’re moving to a larger space, it’s wise to declutter before your move. Sort items by category, keep, donate, sell, or discard, and be honest about what you actually use. Unused furniture, duplicate kitchenware, and old clothes often don’t need to make the move. A lighter load means a faster, more affordable, and more organized transition. 3. Will all my apartment furniture fit properly in a house?  Some furniture from a compact apartment may not always feel too small or awkward in a larger home. We recommend measuring key pieces and comparing them with the dimensions of the new space before moving. Our team can help you decide what’s worth moving and even assist with layout planning to ensure everything fits where it should. 4. What should I do about utilities when moving into a house?  Unlike apartment living, homeowners are responsible for setting up all their utilities individually. Be sure to contact providers for electricity, water, internet, gas, and waste collection at least a week before your move. Scheduling ahead ensures your new home is move-in ready, and you won’t experience any service interruptions. 5. Do I need professional movers for a short move from an apartment to a house? Even if you’re moving just a few blocks, a professional moving team makes the process faster, safer, and far less stressful. We handle the heavy lifting, stairs, tight corners, and transportation logistics, so you don’t have to. Our experience ensures that your belongings arrive safely, regardless of the distance. GuidesTips by ArchEyes Team Leave a comment

I don’t know why, but it continues to astonish me just how foolish politicians can be – and how easily persuaded they are by really bad advice from smart but tin-eared advisers. In less than a year, Keir Starmer and Rachel Reeves have squandered the gift of the huge majority won at last year’s General Election on one key issue after another: their response to the genocide in Gaza; wantonly cruel cuts in disability benefits; failing to find creative ways of taxing wealth; dealing with the water companies – and, now, on the new Planning and Infrastructure Bill. On 23 May 23, the Wildlife Trusts and the RSPB (with a combined membership of more than 2 million) launched a devastating attack on Labour’s whole approach to streamlining the planning system through the Planning and Infrastructure Bill.Advertisement Part 3 of the bill will make it possible for developers to ignore existing environmental protections by paying money into a so-called ‘Nature Recovery Fund’, which will be used to pay for environmental projects elsewhere. Starmer and Reeves have gone out of their way, time after time, to claim that it’s these environmental safeguards that are responsible for delays and blockages in the planning process, even though they know this is completely untrue. According to the Wildlife Trusts, roughly 3 per cent of proposals for new housing are delayed for environmental reasons. As The Guardian reported: ‘the data from analysis of 17,433 planning appeals in England in 2024 found that newts were relevant in just 140 (0.8%) planning appeals, and bats were relevant in 432 (2.48%).’ ‘They pursue this path even though are no polls to show that this is what matters to Labour voters tempted by Reform’ So what makes Starmer and Reeves both stupid and totally dishonest? By all accounts the rationale of their tin-eared advisers is to demonstrate to ‘Reform-friendly’ Labour voters that the environment is as unsafe in their hands as it would be in Nigel Farage’s. That economic growth is all that matters. That caring for the natural world is a middle-class self-indulgence (‘the well-to-do prioritising the nice-to-have’ over the interests of working people). And that pouring as much concrete as possible is self-evidently the best way of achieving that growth. And they go on pursuing this ideological path even though there are no supporting polls to show that this is what really matters to Labour voters tempted by Reform’s populist bullshit.Advertisement So they lie. They dig in. They break promises left, right and centre, ready to die, apparently, in this self-constructed ditch of developer-led deceit. That’s why every single amendment put forward through the committee examining the bill was summarily dismissed by the loyal but lumpen Labour MPs on the committee. These included an amendment tabled by veteran Labour MP Barry Gardiner requiring all house builders to provide a specially designed brick (costing £35) to help cavity-nesting such as swifts, house martins, sparrows and starlings – a measure that Labour in opposition enthusiastically supported! And there’s huge public support for this one small, cost-effective biodiversity regulation. To get a measure of this government’s subservient obedience to the demands of the volume housebuilders, just listen to the words of housing minister Matthew Pennycook: ‘We are not convinced that legislating to mandate the use of specific wildlife features is the right approach, whether that is done through building regulations or a freestanding legal requirement'. It’s all so demeaning. So unnecessary. And now that the mainstream environment movement, urged on primarily by the Wildlife Trusts, has realised just how high the stakes are with this Planning and Infrastructure Bill, it’s reasonable to assume that there will be a much more serious debate in the House of Lords, bringing down on ministers’ helmeted heads the righteous outrage of the entire movement. As we’ve learnt, in less than one deeply depressing year, this is a government that needs to be kicked harder and harder until they get desperate enough to make the pain go away. P.S. If you want to read a brilliant summary of ‘reasons to be outraged’ (and what to do about it), check out George Monbiot’s take on this. Jonathon Porritt is a campaigner and author and co-founder of Forum for the Future This article first appeared on his blog 2025-06-06 Jonathon Porritt comment and share

Once again, Sam Altman wants to show you the future. The CEO of OpenAI is standing on a sparse stage in San Francisco, preparing to reveal his next move to an attentive crowd. “We needed some way for identifying, authenticating humans in the age of AGI,” Altman explains, referring to artificial general intelligence. “We wanted a way to make sure that humans stayed special and central.” The solution Altman came up with is looming behind him. It’s a white sphere about the size of a beach ball, with a camera at its center. The company that makes it, known as Tools for Humanity, calls this mysterious device the Orb. Stare into the heart of the plastic-and-silicon globe and it will map the unique furrows and ciliary zones of your iris. Seconds later, you’ll receive inviolable proof of your humanity: a 12,800-digit binary number, known as an iris code, sent to an app on your phone. At the same time, a packet of cryptocurrency called Worldcoin, worth approximately $42, will be transferred to your digital wallet—your reward for becoming a “verified human.” Altman co-founded Tools for Humanity in 2019 as part of a suite of companies he believed would reshape the world. Once the tech he was developing at OpenAI passed a certain level of intelligence, he reasoned, it would mark the end of one era on the Internet and the beginning of another, in which AI became so advanced, so human-like, that you would no longer be able to tell whether what you read, saw, or heard online came from a real person. When that happened, Altman imagined, we would need a new kind of online infrastructure: a human-verification layer for the Internet, to distinguish real people from the proliferating number of bots and AI “agents.”And so Tools for Humanity set out to build a global “proof-of-humanity” network. It aims to verify 50 million people by the end of 2025; ultimately its goal is to sign up every single human being on the planet. The free crypto serves as both an incentive for users to sign up, and also an entry point into what the company hopes will become the world’s largest financial network, through which it believes “double-digit percentages of the global economy” will eventually flow. Even for Altman, these missions are audacious. “If this really works, it’s like a fundamental piece of infrastructure for the world,” Altman tells TIME in a video interview from the passenger seat of a car a few days before his April 30 keynote address.Internal hardware of the Orb in mid-assembly in March. Davide Monteleone for TIMEThe project’s goal is to solve a problem partly of Altman’s own making. In the near future, he and other tech leaders say, advanced AIs will be imbued with agency: the ability to not just respond to human prompting, but to take actions independently in the world. This will enable the creation of AI coworkers that can drop into your company and begin solving problems; AI tutors that can adapt their teaching style to students’ preferences; even AI doctors that can diagnose routine cases and handle scheduling or logistics. The arrival of these virtual agents, their venture capitalist backers predict, will turbocharge our productivity and unleash an age of material abundance.But AI agents will also have cascading consequences for the human experience online. “As AI systems become harder to distinguish from people, websites may face difficult trade-offs,” says a recent paper by researchers from 25 different universities, nonprofits, and tech companies, including OpenAI. “There is a significant risk that digital institutions will be unprepared for a time when AI-powered agents, including those leveraged by malicious actors, overwhelm other activity online.” On social-media platforms like X and Facebook, bot-driven accounts are amassing billions of views on AI-generated content. In April, the foundation that runs Wikipedia disclosed that AI bots scraping their site were making the encyclopedia too costly to sustainably run. Later the same month, researchers from the University of Zurich found that AI-generated comments on the subreddit /r/ChangeMyView were up to six times more successful than human-written ones at persuading unknowing users to change their minds.  Photograph by Davide Monteleone for TIMEBuy a copy of the Orb issue hereThe arrival of agents won’t only threaten our ability to distinguish between authentic and AI content online. It will also challenge the Internet’s core business model, online advertising, which relies on the assumption that ads are being viewed by humans. “The Internet will change very drastically sometime in the next 12 to 24 months,” says Tools for Humanity CEO Alex Blania. “So we have to succeed, or I’m not sure what else would happen.”For four years, Blania’s team has been testing the Orb’s hardware abroad. Now the U.S. rollout has arrived. Over the next 12 months, 7,500 Orbs will be arriving in dozens of American cities, in locations like gas stations, bodegas, and flagship stores in Los Angeles, Austin, and Miami. The project’s founders and fans hope the Orb’s U.S. debut will kickstart a new phase of growth. The San Francisco keynote was titled: “At Last.” It’s not clear the public appetite matches the exultant branding. Tools for Humanity has “verified” just 12 million humans since mid 2023, a pace Blania concedes is well behind schedule. Few online platforms currently support the so-called “World ID” that the Orb bestows upon its visitors, leaving little to entice users to give up their biometrics beyond the lure of free crypto. Even Altman isn’t sure whether the whole thing can work. “I can see [how] this becomes a fairly mainstream thing in a few years,” he says. “Or I can see that it’s still only used by a small subset of people who think about the world in a certain way.” Blania (left) and Altman debut the Orb at World’s U.S. launch in San Francisco on April 30, 2025. Jason Henry—The New York Times/ReduxYet as the Internet becomes overrun with AI, the creators of this strange new piece of hardware are betting that everybody in the world will soon want—or need—to visit an Orb. The biometric code it creates, they predict, will become a new type of digital passport, without which you might be denied passage to the Internet of the future, from dating apps to government services. In a best-case scenario, World ID could be a privacy-preserving way to fortify the Internet against an AI-driven deluge of fake or deceptive content. It could also enable the distribution of universal basic income (UBI)—a policy that Altman has previously touted—as AI automation transforms the global economy. To examine what this new technology might mean, I reported from three continents, interviewed 10 Tools for Humanity executives and investors, reviewed hundreds of pages of company documents, and “verified” my own humanity. The Internet will inevitably need some kind of proof-of-humanity system in the near future, says Divya Siddarth, founder of the nonprofit Collective Intelligence Project. The real question, she argues, is whether such a system will be centralized—“a big security nightmare that enables a lot of surveillance”—or privacy-preserving, as the Orb claims to be. Questions remain about Tools for Humanity’s corporate structure, its yoking to an unstable cryptocurrency, and what power it would concentrate in the hands of its owners if successful. Yet it’s also one of the only attempts to solve what many see as an increasingly urgent problem. “There are some issues with it,” Siddarth says of World ID. “But you can’t preserve the Internet in amber. Something in this direction is necessary.”In March, I met Blania at Tools for Humanity’s San Francisco headquarters, where a large screen displays the number of weekly “Orb verifications” by country. A few days earlier, the CEO had attended a $1 million-per-head dinner at Mar-a-Lago with President Donald Trump, whom he credits with clearing the way for the company’s U.S. launch by relaxing crypto regulations. “Given Sam is a very high profile target,” Blania says, “we just decided that we would let other companies fight that fight, and enter the U.S. once the air is clear.” As a kid growing up in Germany, Blania was a little different than his peers. “Other kids were, like, drinking a lot, or doing a lot of parties, and I was just building a lot of things that could potentially blow up,” he recalls. At the California Institute of Technology, where he was pursuing research for a masters degree, he spent many evenings reading the blogs of startup gurus like Paul Graham and Altman. Then, in 2019, Blania received an email from Max Novendstern, an entrepreneur who had been kicking around a concept with Altman to build a global cryptocurrency network. They were looking for technical minds to help with the project. Over cappuccinos, Altman told Blania he was certain about three things. First, smarter-than-human AI was not only possible, but inevitable—and it would soon mean you could no longer assume that anything you read, saw, or heard on the Internet was human-created. Second, cryptocurrency and other decentralized technologies would be a massive force for change in the world. And third, scale was essential to any crypto network’s value. The Orb is tested on a calibration rig, surrounded by checkerboard targets to ensure precision in iris detection. Davide Monteleone for TIMEThe goal of Worldcoin, as the project was initially called, was to combine those three insights. Altman took a lesson from PayPal, the company co-founded by his mentor Peter Thiel. Of its initial funding, PayPal spent less than $10 million actually building its app—but pumped an additional $70 million or so into a referral program, whereby new users and the person who invited them would each receive $10 in credit. The referral program helped make PayPal a leading payment platform. Altman thought a version of that strategy would propel Worldcoin to similar heights. He wanted to create a new cryptocurrency and give it to users as a reward for signing up. The more people who joined the system, the higher the token’s value would theoretically rise. Since 2019, the project has raised $244 million from investors like Coinbase and the venture capital firm Andreessen Horowitz. That money paid for the $50 million cost of designing the Orb, plus maintaining the software it runs on. The total market value of all Worldcoins in existence, however, is far higher—around $12 billion. That number is a bit misleading: most of those coins are not in circulation and Worldcoin’s price has fluctuated wildly. Still, it allows the company to reward users for signing up at no cost to itself. The main lure for investors is the crypto upside. Some 75% of all Worldcoins are set aside for humans to claim when they sign up, or as referral bonuses. The remaining 25% are split between Tools for Humanity’s backers and staff, including Blania and Altman. “I’m really excited to make a lot of money,” ” Blania says.From the beginning, Altman was thinking about the consequences of the AI revolution he intended to unleash. (On May 21, he announced plans to team up with famed former Apple designer Jony Ive on a new AI personal device.) A future in which advanced AI could perform most tasks more effectively than humans would bring a wave of unemployment and economic dislocation, he reasoned. Some kind of wealth redistribution might be necessary. In 2016, he partially funded a study of basic income, which gave $1,000 per-month handouts to low-income individuals in Illinois and Texas. But there was no single financial system that would allow money to be sent to everybody in the world. Nor was there a way to stop an individual human from claiming their share twice—or to identify a sophisticated AI pretending to be human and pocketing some cash of its own. In 2023, Tools for Humanity raised the possibility of using the network to redistribute the profits of AI labs that were able to automate human labor. “As AI advances,” it said, “fairly distributing access and some of the created value through UBI will play an increasingly vital role in counteracting the concentration of economic power.”Blania was taken by the pitch, and agreed to join the project as a co-founder. “Most people told us we were very stupid or crazy or insane, including Silicon Valley investors,” Blania says. At least until ChatGPT came out in 2022, transforming OpenAI into one of the world’s most famous tech companies and kickstarting a market bull-run. “Things suddenly started to make more and more sense to the external world,” Blania says of the vision to develop a global “proof-of-humanity” network. “You have to imagine a world in which you will have very smart and competent systems somehow flying through the Internet with different goals and ideas of what they want to do, and us having no idea anymore what we’re dealing with.”After our interview, Blania’s head of communications ushers me over to a circular wooden structure where eight Orbs face one another. The scene feels like a cross between an Apple Store and a ceremonial altar. “Do you want to get verified?” she asks. Putting aside my reservations for the purposes of research, I download the World App and follow its prompts. I flash a QR code at the Orb, then gaze into it. A minute or so later, my phone buzzes with confirmation: I’ve been issued my own personal World ID and some Worldcoin.The first thing the Orb does is check if you’re human, using a neural network that takes input from various sensors, including an infrared camera and a thermometer. Davide Monteleone for TIMEWhile I stared into the Orb, several complex procedures had taken place at once. A neural network took inputs from multiple sensors—an infrared camera, a thermometer—to confirm I was a living human. Simultaneously, a telephoto lens zoomed in on my iris, capturing the physical traits within that distinguish me from every other human on Earth. It then converted that image into an iris code: a numerical abstraction of my unique biometric data. Then the Orb checked to see if my iris code matched any it had seen before, using a technique allowing encrypted data to be compared without revealing the underlying information. Before the Orb deleted my data, it turned my iris code into several derivative codes—none of which on its own can be linked back to the original—encrypted them, deleted the only copies of the decryption keys, and sent each one to a different secure server, so that future users’ iris codes can be checked for uniqueness against mine. If I were to use my World ID to access a website, that site would learn nothing about me except that I’m human. The Orb is open-source, so outside experts can examine its code and verify the company’s privacy claims. “I did a colonoscopy on this company and these technologies before I agreed to join,” says Trevor Traina, a Trump donor and former U.S. ambassador to Austria who now serves as Tools for Humanity’s chief business officer. “It is the most privacy-preserving technology on the planet.”Only weeks later, when researching what would happen if I wanted to delete my data, do I discover that Tools for Humanity’s privacy claims rest on what feels like a sleight of hand. The company argues that in modifying your iris code, it has “effectively anonymized” your biometric data. If you ask Tools for Humanity to delete your iris codes, they will delete the one stored on your phone, but not the derivatives. Those, they argue, are no longer your personal data at all. But if I were to return to an Orb after deleting my data, it would still recognize those codes as uniquely mine. Once you look into the Orb, a piece of your identity remains in the system forever. If users could truly delete that data, the premise of one ID per human would collapse, Tools for Humanity’s chief privacy officer Damien Kieran tells me when I call seeking an explanation. People could delete and sign up for new World IDs after being suspended from a platform. Or claim their Worldcoin tokens, sell them, delete their data, and cash in again. This argument fell flat with European Union regulators in Germany, who recently declared that the Orb posed “fundamental data protection issues” and ordered the company to allow European users to fully delete even their anonymized data. (Tools for Humanity has appealed; the regulator is now reassessing the decision.) “Just like any other technology service, users cannot delete data that is not personal data,” Kieran said in a statement. “If a person could delete anonymized data that can’t be linked to them by World or any third party, it would allow bad actors to circumvent the security and safety that World ID is working to bring to every human.”On a balmy afternoon this spring, I climb a flight of stairs up to a room above a restaurant in an outer suburb of Seoul. Five elderly South Koreans tap on their phones as they wait to be “verified” by the two Orbs in the center of the room. “We don’t really know how to distinguish between AI and humans anymore,” an attendant in a company t-shirt explains in Korean, gesturing toward the spheres. “We need a way to verify that we’re human and not AI. So how do we do that? Well, humans have irises, but AI doesn’t.”The attendant ushers an elderly woman over to an Orb. It bleeps. “Open your eyes,” a disembodied voice says in English. The woman stares into the camera. Seconds later, she checks her phone and sees that a packet of Worldcoin worth 75,000 Korean won (about $54) has landed in her digital wallet. Congratulations, the app tells her. You are now a verified human.A visitor views the Orbs in Seoul on April 14, 2025. Taemin Ha for TIMETools for Humanity aims to “verify” 1 million Koreans over the next year. Taemin Ha for TIMEA couple dozen Orbs have been available in South Korea since 2023, verifying roughly 55,000 people. Now Tools for Humanity is redoubling its efforts there. At an event in a traditional wooden hanok house in central Seoul, an executive announces that 250 Orbs will soon be dispersed around the country—with the aim of verifying 1 million Koreans in the next 12 months. South Korea has high levels of smartphone usage, crypto and AI adoption, and Internet access, while average wages are modest enough for the free Worldcoin on offer to still be an enticing draw—all of which makes it fertile testing ground for the company’s ambitious global expansion. Yet things seem off to a slow start. In a retail space I visited in central Seoul, Tools for Humanity had constructed a wooden structure with eight Orbs facing each other. Locals and tourists wander past looking bemused; few volunteer themselves up. Most who do tell me they are crypto enthusiasts who came intentionally, driven more by the spirit of early adoption than the free coins. The next day, I visit a coffee shop in central Seoul where a chrome Orb sits unassumingly in one corner. Wu Ruijun, a 20-year-old student from China, strikes up a conversation with the barista, who doubles as the Orb’s operator. Wu was invited here by a friend who said both could claim free cryptocurrency if he signed up. The barista speeds him through the process. Wu accepts the privacy disclosure without reading it, and widens his eyes for the Orb. Soon he’s verified. “I wasn’t told anything about the privacy policy,” he says on his way out. “I just came for the money.”As Altman’s car winds through San Francisco, I ask about the vision he laid out in 2019: that AI would make it harder for us to trust each other online. To my surprise, he rejects the framing. “I’m much more [about] like: what is the good we can create, rather than the bad we can stop?” he says. “It’s not like, ‘Oh, we’ve got to avoid the bot overrun’ or whatever. It’s just that we can do a lot of special things for humans.” It’s an answer that may reflect how his role has changed over the years. Altman is now the chief public cheerleader of a $300 billion company that’s touting the transformative utility of AI agents. The rise of agents, he and others say, will be a boon for our quality of life—like having an assistant on hand who can answer your most pressing questions, carry out mundane tasks, and help you develop new skills. It’s an optimistic vision that may well pan out. But it doesn’t quite fit with the prophecies of AI-enabled infopocalypse that Tools for Humanity was founded upon.Altman waves away a question about the influence he and other investors stand to gain if their vision is realized. Most holders, he assumes, will have already started selling their tokens—too early, he adds. “What I think would be bad is if an early crew had a lot of control over the protocol,” he says, “and that’s where I think the commitment to decentralization is so cool.” Altman is referring to the World Protocol, the underlying technology upon which the Orb, Worldcoin, and World ID all rely. Tools for Humanity is developing it, but has committed to giving control to its users over time—a process they say will prevent power from being concentrated in the hands of a few executives or investors. Tools for Humanity would remain a for-profit company, and could levy fees on platforms that use World ID, but other companies would be able to compete for customers by building alternative apps—or even alternative Orbs. The plan draws on ideas that animated the crypto ecosystem in the late 2010s and early 2020s, when evangelists for emerging blockchain technologies argued that the centralization of power—especially in large so-called “Web 2.0” tech companies—was responsible for many of the problems plaguing the modern Internet. Just as decentralized cryptocurrencies could reform a financial system controlled by economic elites, so too would it be possible to create decentralized organizations, run by their members instead of CEOs. How such a system might work in practice remains unclear. “Building a community-based governance system,” Tools for Humanity says in a 2023 white paper, “represents perhaps the most formidable challenge of the entire project.”Altman has a pattern of making idealistic promises that shift over time. He founded OpenAI as a nonprofit in 2015, with a mission to develop AGI safely and for the benefit of all humanity. To raise money, OpenAI restructured itself as a for-profit company in 2019, but with overall control still in the hands of its nonprofit board. Last year, Altman proposed yet another restructure—one which would dilute the board’s control and allow more profits to flow to shareholders. Why, I ask, should the public trust Tools for Humanity’s commitment to freely surrender influence and power? “I think you will just see the continued decentralization via the protocol,” he says. “The value here is going to live in the network, and the network will be owned and governed by a lot of people.” Altman talks less about universal basic income these days. He recently mused about an alternative, which he called “universal basic compute.” Instead of AI companies redistributing their profits, he seemed to suggest, they could instead give everyone in the world fair access to super-powerful AI. Blania tells me he recently “made the decision to stop talking” about UBI at Tools for Humanity. “UBI is one potential answer,” he says. “Just giving [people] access to the latest [AI] models and having them learn faster and better is another.” Says Altman: “I still don’t know what the right answer is. I believe we should do a better job of distribution of resources than we currently do.” When I probe the question of why people should trust him, Altman gets irritated. “I understand that you hate AI, and that’s fine,” he says. “If you want to frame it as the downside of AI is that there’s going to be a proliferation of very convincing AI systems that are pretending to be human, and we need ways to know what is really human-authorized versus not, then yeah, I think you can call that a downside of AI. It’s not how I would naturally frame it.” The phrase human-authorized hints at a tension between World ID and OpenAI’s plans for AI agents. An Internet where a World ID is required to access most services might impede the usefulness of the agents that OpenAI and others are developing. So Tools for Humanity is building a system that would allow users to delegate their World ID to an agent, allowing the bot to take actions online on their behalf, according to Tiago Sada, the company’s chief product officer. “We’ve built everything in a way that can be very easily delegatable to an agent,” Sada says. It’s a measure that would allow humans to be held accountable for the actions of their AIs. But it suggests that Tools for Humanity’s mission may be shifting beyond simply proving humanity, and toward becoming the infrastructure that enables AI agents to proliferate with human authorization. World ID doesn’t tell you whether a piece of content is AI-generated or human-generated; all it tells you is whether the account that posted it is a human or a bot. Even in a world where everybody had a World ID, our online spaces might still be filled with AI-generated text, images, and videos.As I say goodbye to Altman, I’m left feeling conflicted about his project. If the Internet is going to be transformed by AI agents, then some kind of proof-of-humanity system will almost certainly be necessary. Yet if the Orb becomes a piece of Internet infrastructure, it could give Altman—a beneficiary of the proliferation of AI content—significant influence over a leading defense mechanism against it. People might have no choice but to participate in the network in order to access social media or online services.I thought of an encounter I witnessed in Seoul. In the room above the restaurant, Cho Jeong-yeon, 75, watched her friend get verified by an Orb. Cho had been invited to do the same, but demurred. The reward wasn’t enough for her to surrender a part of her identity. “Your iris is uniquely yours, and we don’t really know how it might be used,” she says. “Seeing the machine made me think: are we becoming machines instead of humans now? Everything is changing, and we don’t know how it’ll all turn out.”—With reporting by Stephen Kim/Seoul. This story was supported by Tarbell Grants.Correction, May 30The original version of this story misstated the market capitalization of Worldcoin if all coins were in circulation. It is $12 billion, not $1.2 billion.

John Edwards, Technology Journalist & AuthorJune 4, 20254 Min ReadRancz Andrei via Alamy Stock PhotoIt may be hard to believe, but some senior executives actually believe that AI's arrival isn't a ground-shaking event. These individuals tend to be convinced that while AI may be a useful tool in certain situations, it's not going to change business in any truly meaningful way. Call them skeptics or call them realists, but such individuals really do exist, and it's the enterprise's CIOs and other IT leaders who need to gently guide them into reality. AI adoption tends to fall into three mindsets: early adopters who recognize its benefits, skeptics who fear its risks, and a large middle group -- those who are curious, but uncertain, observes Dave McQuarrie, HP's chief commercial officer in an online interview. "The key to closing the AI adoption gap lies in engaging this middle group, equipping them with knowledge, and guiding them through practical implementation." Effective Approaches The most important move is simply getting started. Establish a group of advocates in your company to serve as your early AI adopters, McQuarrie says. "Pick two or three processes to completely automate rather than casting a wide net, and use these as case studies to learn from," he advises. "By beginning with a subset of users, leaders can develop a solid foundation as they roll out the tool more widely across their business." Related:Start small, gather data, and present your use case, demonstrating how AI can support you and your colleagues to do your jobs better and faster, recommends Nicola Cain, CEO and principal consultant at Handley Gill Limited, a UK-based legal, regulatory and compliance consultancy. "This could be by analyzing customer interactions to demonstrate how the introduction of a chatbot to give customers prompt answers to easily addressed questions ... or showing how vast volumes of network log data could be analyzed by AI to identify potentially malign incidents that warrant further investigation," she says in an email interview. Changing Mindsets Question the skeptical leader about their biggest business bottleneck, suggests Jeff Mains, CEO of business consulting firm Champion Leadership Group. "Whether it’s slow decision-making, inconsistent customer experiences, or operational inefficiencies, there's a strategic AI-driven solution for nearly every major business challenge," he explains in an online interview. "The key is showing leaders how AI directly solves their most pressing problems today." When dealing with a reluctant executive, start by identifying an AI use case, Cain says. "AI functionality already performs strongly in areas like forecasting, recognition, event detection, personalization, interaction support, recommendations, and goal-driven optimization," she states. "Good business areas to identify a potential use case could therefore be in finance, customer service, marketing, cyber security, or stock control." Related:Strengthening Your Case Executives respond to proof, not promises, Mains says. "Instead of leading with research reports, I’ve found that real, industry-specific case studies are far more impactful," he observes. "If a direct competitor has successfully integrated AI into sales, marketing, or operations, use that example, because it creates urgency." Instead of just citing AI-driven efficiency gains, Mains recommends framing AI as a way to free-up leadership to focus on high-level strategy rather than day-to-day operations. Instead of trying to pitch AI in broad terms, Mains advises aligning the technology to the company's stated goals. "If the company is struggling with customer retention, talk about how AI can improve personalization," he suggests. "If operational inefficiencies are a problem, highlight AI-driven automation." The moment AI is framed as a business enabler rather than a technology trend, the conversation shifts from resistance to curiosity. Related:When All Else Fails If leadership refuses to embrace AI, it’s important to document the cost of inaction, Mains says. "Keep track of inefficiencies, missed opportunities, and competitor advancements," he recommends. Sometimes, leadership only shifts when management’s view of the risks of staying stagnant outweigh the risks of change. "If a company refuses to innovate despite clear benefits, that’s a red flag for long-term growth." Final Thoughts For enterprises that have so far done little or nothing in the way of AI deployment, the technology may appear optional, McQuarrie observes. Yet soon, operating without AI will become as unthinkable as running a business without the internet. Enterprise leaders who delay AI adoption risk falling behind the competition. "The best approach is to embrace a mindset of humility and curiosity -- actively seek out knowledge, ask questions, and learn from peers who are already seeing AI’s impact," he says. "To stay competitive in this rapidly evolving landscape, leaders should start now." The best companies aren't just using AI to improve; they're using the technology to redefine how they do business, Mains says. Leaders who recognize AI as a business accelerator will be the ones leading their industries in the next decade. "Those who hesitate? They’ll be playing catch-up." he concludes. About the AuthorJohn EdwardsTechnology Journalist & AuthorJohn Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.See more from John EdwardsWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like

Few companies in the history of capitalism have amassed as much wealth and influence as Meta.A global superpower in the information space, Meta — the parent company of Facebook, Instagram, WhatsApp, and Threads — has a market cap of $1.68 trillion at the time of writing, which for a rough sense of scale is more than the gross domestic product of Spain.In spite of its immense influence, none of its internal algorithms can be scrutinized by public watchdogs. Its host country, the United States, has largely turned a blind eye to its dealings in exchange for free use of Meta's vast surveillance capabilities.That lack of oversight coupled with Meta's near-omnipresence as a social utility has had devastating consequences throughout the world, manifesting in crises like the genocide of Muslims in Myanmar, or the systemic suppression of Palestinian rights organizations.How do you uncover the harms caused by one of the most powerful companies on earth? In the case of public violence, the evidence isn't hard to trace. However, Meta's unprecedented corporate dynasty also creates less obvious harms, which scores of scholars, researchers, and journalists are devoting entire careers to uncovering.One prominent group of said investigators is GLAAD, the Gay & Lesbian Alliance Against Defamation, which recently released its annual report on social media safety, privacy, and expression for LGBTQ people.The report notes that Meta has undergone a "particularly extreme" ideological shift over the past year, adding harmful exceptions to its content moderation policies while disproportionately suppressing LGBTQ users and their content. The tech giant has also failed to give LGBTQ users sovereignty over their own personal data, which it collects, analyzes, and wields to generate huge profits.While Meta collects all of our data — from which it draws over 95 percent of its revenue — the practice is particularly harmful to LGBTQ users, who then have to contend with algorithmic biases, non-consensual outing, harassment, and in some countries state oppression."It's a dangerous time, certainly for trans people, who as a minority have been so ridiculously maligned, but also a dangerous time for gay people, openly bi[sexual] people, people who are different in any way," says Sarah Roberts, a UCLA professor and Director of the Center for Critical Internet Inquiry.To address these shortcomings and the dangers they introduce, GLAAD made a number of recommendations. One key suggestion was to improve moderation "by providing training for all content moderators focused on LGBTQ safety, privacy and expression." The media advocacy group doesn't mince words, adding that "AI systems should be used to flag for human review, not for automated removals."However, it doesn't look like Meta got the message.Weeks after GLAAD issued its findings, internal Meta documents leaked to NPR revealed the company's plan to hand 90 percent of its privacy and integrity reviews over to "artificial intelligence."This will impact nearly every new feature introduced to its platforms, where human moderators would typically evaluate new features for risks to privacy and safety, and the wellbeing of user groups like minors, immigrants, and LGBTQ people.Meta's internal risk assessment is an already opaque process, and Roberts notes that government attempts at risk oversight, like the EU's Digital Services Act, are likewise a labyrinth of filings which are largely dictated by the social media companies themselves. AI, chock full of biases and prone to errors — as admitted by Meta's own AI chief — is certain to make the situation even worse.Earlier this week, meanwhile, the Wall Street Journal revealed Meta's plans to fully automate advertising via the company's generative AI software, which will allow advertisers to "fully create and target ads" directly, with no human in the loop.This includes hyper-personalized ads, writes the WSJ, "so that users see different versions of the same ad in real time, based on factors such as geolocation."Data hoarders like Meta — which track you even when you're not using its platforms — have long been able to profile LGBTQ users based on gender identify and sexual orientation, including those who aren't publicly out.Removing any human from these already sinister practices serves to streamline operations and distance Meta from its own actions — "we didn't out gay users living under an oppressive government," the company can say, "even if our AI did." It's no coincidence that Meta had already disbanded its "Responsible AI" team as early as 2023.At the root of these decisions — Meta CEO Mark Zuckerberg's right wing turn notwithstanding — is the calculated drive to maximize revenue."If there's no reason to rigorously moderate harmful content, then why pay so many content moderators? Why engage researchers to look into the circulation of this kind of content?" observes Roberts. "There ends up being a real cost savings there.""One of the things I've always said is that content moderation of social media is not primarily about protecting people, it's about brand management," she told Futurism. "It's about the platform managing its brand in order to make the most hospitable environment for advertisers."Sometimes these corporate priorities line up with progressive causes, like LGBTQ user safety or voter registration. But when they don't, Roberts notes, "dollars are dollars.""We are looking at multibillion-dollar companies, the most capitalized companies in the world, who have operated with impunity for many, many years," she said. "How do you convince them that they should care, when other powerful sectors are telling them the opposite?"Share This Article

John Edwards, Technology Journalist & AuthorJune 4, 20254 Min ReadRancz Andrei via Alamy Stock PhotoIt may be hard to believe, but some senior executives actually believe that AI's arrival isn't a ground-shaking event. These individuals tend to be convinced that while AI may be a useful tool in certain situations, it's not going to change business in any truly meaningful way. Call them skeptics or call them realists, but such individuals really do exist, and it's the enterprise's CIOs and other IT leaders who need to gently guide them into reality. AI adoption tends to fall into three mindsets: early adopters who recognize its benefits, skeptics who fear its risks, and a large middle group -- those who are curious, but uncertain, observes Dave McQuarrie, HP's chief commercial officer in an online interview. "The key to closing the AI adoption gap lies in engaging this middle group, equipping them with knowledge, and guiding them through practical implementation." Effective Approaches The most important move is simply getting started. Establish a group of advocates in your company to serve as your early AI adopters, McQuarrie says. "Pick two or three processes to completely automate rather than casting a wide net, and use these as case studies to learn from," he advises. "By beginning with a subset of users, leaders can develop a solid foundation as they roll out the tool more widely across their business." Related:Start small, gather data, and present your use case, demonstrating how AI can support you and your colleagues to do your jobs better and faster, recommends Nicola Cain, CEO and principal consultant at Handley Gill Limited, a UK-based legal, regulatory and compliance consultancy. "This could be by analyzing customer interactions to demonstrate how the introduction of a chatbot to give customers prompt answers to easily addressed questions ... or showing how vast volumes of network log data could be analyzed by AI to identify potentially malign incidents that warrant further investigation," she says in an email interview. Changing Mindsets Question the skeptical leader about their biggest business bottleneck, suggests Jeff Mains, CEO of business consulting firm Champion Leadership Group. "Whether it’s slow decision-making, inconsistent customer experiences, or operational inefficiencies, there's a strategic AI-driven solution for nearly every major business challenge," he explains in an online interview. "The key is showing leaders how AI directly solves their most pressing problems today." When dealing with a reluctant executive, start by identifying an AI use case, Cain says. "AI functionality already performs strongly in areas like forecasting, recognition, event detection, personalization, interaction support, recommendations, and goal-driven optimization," she states. "Good business areas to identify a potential use case could therefore be in finance, customer service, marketing, cyber security, or stock control." Related:Strengthening Your Case Executives respond to proof, not promises, Mains says. "Instead of leading with research reports, I’ve found that real, industry-specific case studies are far more impactful," he observes. "If a direct competitor has successfully integrated AI into sales, marketing, or operations, use that example, because it creates urgency." Instead of just citing AI-driven efficiency gains, Mains recommends framing AI as a way to free-up leadership to focus on high-level strategy rather than day-to-day operations. Instead of trying to pitch AI in broad terms, Mains advises aligning the technology to the company's stated goals. "If the company is struggling with customer retention, talk about how AI can improve personalization," he suggests. "If operational inefficiencies are a problem, highlight AI-driven automation." The moment AI is framed as a business enabler rather than a technology trend, the conversation shifts from resistance to curiosity. Related:When All Else Fails If leadership refuses to embrace AI, it’s important to document the cost of inaction, Mains says. "Keep track of inefficiencies, missed opportunities, and competitor advancements," he recommends. Sometimes, leadership only shifts when management’s view of the risks of staying stagnant outweigh the risks of change. "If a company refuses to innovate despite clear benefits, that’s a red flag for long-term growth." Final Thoughts For enterprises that have so far done little or nothing in the way of AI deployment, the technology may appear optional, McQuarrie observes. Yet soon, operating without AI will become as unthinkable as running a business without the internet. Enterprise leaders who delay AI adoption risk falling behind the competition. "The best approach is to embrace a mindset of humility and curiosity -- actively seek out knowledge, ask questions, and learn from peers who are already seeing AI’s impact," he says. "To stay competitive in this rapidly evolving landscape, leaders should start now." The best companies aren't just using AI to improve; they're using the technology to redefine how they do business, Mains says. Leaders who recognize AI as a business accelerator will be the ones leading their industries in the next decade. "Those who hesitate? They’ll be playing catch-up." he concludes. About the AuthorJohn EdwardsTechnology Journalist & AuthorJohn Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.See more from John EdwardsWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like

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