logo
Breaking from the FreightTech AI pack: Companies make their case at TIA meeting

Breaking from the FreightTech AI pack: Companies make their case at TIA meeting

Yahoo14-04-2025
SAN ANTONIO – What became obvious in more than three hours of legacy companies and wet-behind-the-ears startups touting technology solutions for 3PLs at the Transportation Intermediaries Association's meeting is that artificial intelligence is absolutely real right now, and one of the next battles will be over what might be called the last mile of technology.
The presentations came during a Media Day at the TIA's annual Capital Ideas Conference, a day before the full launch of the largest gathering of freight brokers. One by one, nearly 20 companies laid out the capabilities of new or near-new technologies and capabilities they had launched to serve the 3PL industry.
While it was clear that the capabilities of generative AI are no longer the technology of the future and very much part of the present, it was just as obvious that the overlap of what many of these solutions do, which has always been a feature of technology products aimed at the supply chain, doesn't go away in the AI world. That's where the 'final mile' comes in, those small capabilities that the tech suppliers look to create to differentiate themselves from what is already becoming a crowded field.
For example, several presentations touted applications that would use AI to intake the never-ending stream of emails, text messages and phone calls a brokerage receives from drivers, other carrier employees or shippers. The new tools can use generative AI to formulate a response that meets the queries of the supply chain without consuming brokers' time, leaving them to more productive tasks. So far, there is no shortage of companies offering this service.
David Bell, the founder and CEO of CloneOps AI, whose company presented at the Media Day, said the unusual name of his startup – which launched its product in conjunction with the conference – came from the oft-heard wish that during times of worker overload, some of a company's more productive employees could be cloned.
'Your emails are stacking up, your phone calls are on hold, your voicemail is getting full, your texting is getting full, and you're a one person show trying to keep your head above water,' Bell said in an interview with FreightWaves, describing the situation that several companies face.
But with other companies offering similar AI products that take in communications and respond to them without human intervention when possible, the question to Bell was, how do you separate yourself from the pack? How does your last mile differ from that of others?
Bell spoke of his experience as the owner of Smith Cargo, a consolidator, and then the founder of Lean Solutions (which also presented at Media Day.)
But it wasn't just his background, Bell said. For example, he boasted of CloneOps' voice identification capabilities, which he said 'is going to prevent fraud right from the start.' If a call comes in from a 'fake carrier trying to get a load, it's going to identify if they're authorized to speak and if they're authorized to book a load on behalf of the carrier.'
The goal, Bell said, is to 'create a bad actors database of the voices that are actually stealing the loads.'
ParadeAI attended the conference but wasn't a presenter at TIA Media Day. However, its AI-driven offering is not duplicated by any of the companies that did present, as its capabilities involve using AI to provide what it calls capacity management.
ParadeAI, which founder and CEO Anthony Sutardja said launched in 2019, uses a variety of tools to develop a reservoir of information about carriers that AI then can use to provide information to brokers looking to secure capacity.
At its launch, Sutardja said, it used truck list emails to populate its data. 'We took the natural language processing technology that existed back then to start structuring it into available trucks for matching,' he said. 'That was one way of getting capacity,' he said.
With the addition of more FreightTech solutions being adopted by brokers, Sutardja said, all of them create further sources of capacity that can then be interpreted by AI to give a broker a look at available capacity that might be a match for the lane that is seeking trucking services.
The new features launched in conjunction with the TIA meeting are marketed under a product called CoDriver. The capabilities recently launched were described by Sutardja as a 'voice AI agent that can help have a conversation between the broker and carrier to discuss an available load, check if the carrier is qualified and check if it meets the load requirements.'
While capacity management capabilities are the core of ParadeAI's business, it also has a pricing product called Advantage.
ParadeAI and CloneOps both had booths on the TIA exhibition hall floor, which is dominated by FreightTech companies. CloneOps was also the sponsor of the conference's Wi-Fi; its brand marketing popped up whenever an attendee accessed that service.
OTR Solutions has multiple financial tools for the industry, including factoring and fuel cards. COO Grace Maher introduced OTR 365, which she called an 'always-on network of interconnected financial products delivering intelligent solutions and powerful technologies.' What this means for drivers getting paid, she said, is 'no more cutoff times for same-day funding, no more weekend or bank holiday delays.'
Pallet's AI solution is in the already crowded field of companies using AI to process and aid in what Jason Feng of the company's marketing team described as automation of 'any sort of repetitive workflow, including order entry, RFQ processing, track-and-trace and reconciliation.' Its product is called Copilot.
The role of AI 'agents,' essentially human-like robots with an element of a personality, came up several times during TIA Media Day. At TMS provider Revenova, the agent's name is Artimus, introduced earlier this year. Marketing manager Mike Marut said the main strength of AI agents is that they can be tailored to the capabilities of a brokerage. 'It's customized and configured to what you do in your operational processes, but it's going to be different from everybody else,' he said.
Michael Caney of Highway spoke about an upgrade to the company's visibility solution that combines it with the company's security validation, which is at the heart of Highway's rapid success in the market so far. It helps answer a key question that brokers need to answer to fight fraud: 'Are they [the carrier] within the geographic location of the load that they're looking at?'
One company whose AI-driven product didn't have any obvious matches was Qued. Based on the pitch from President Tom Curee, it also is focused on using AI to help manage the stream of communications, but its focus was on one particular task: appointments. 'Imagine all these different appointments that have to be scheduled,' he said. 'They're in web portals, they're in emails or phone calls.' The AI solution at Qued is designed to tackle that with new technology.
Crum & Foster rolled out new ways of accessing its TripExcess insurance offering that sells insurance to cover a high-value load whose value exceeds the coverage in a carrier or broker's insurance policies.
Fleetworks introduced a solution that involves AI-produced conversations that can take the place of human interaction with phones and email for more routine tasks. Its new product also involves an AI-driven tool that can speak multiple languages.
Freight Claims is a new company that will use AI and machine learning to produce automated workflows dealing with claims, which founder and CEO Mike Schember said was 'the last department to get any resources in any organization.'
Get Real Rates, according to its co-founder Omar Singh, is using automation to generate rate information, 'fast forwarding automation that I thought was going to happen years ago, but it's taken a little bit longer.'
Alfonso Quijano, CEO of Lean Solutions, introduced StudioQ. TalentQ is the first application under the StudioQ set of AI-driven solutions that Quijano said give its customers an 'unprecedented level of visibility to access talent.' It also aids in the onboarding process 'from start to finish, ensuring your new hire is fully prepared to thrive in their role,' Quijano said.
Greenscreens.ai CEO Dawn Favier, fresh off the company's announced planned acquisition by Triumph Capital (NASDAQ: TFIN), said her company will be adding an AI-driven product, Intuition. 'Pricing long-term freight contracts has always been a major challenge in the freight industry,' she said. Using AI and drawing on historical data, Intuition will build market forecasts on lanes out to 12 months in advance, greatly speeding up a broker's ability to respond to a longer-term RFP as opposed to the spot market.
Happy Robot is rolling out Bridge, 'a control panel to run the operations across your entire business,' Catherine Dean said in presenting the product. Bridge, she said, 'is like a connection point between your teams and your businesses, shared knowledge and task execution.'
Steve Kochan of HaulPay discussed his company's financing activities, which involve factoring and payments among other services, with a special focus on fighting fraud. He was presenting at Media Day because of the first update of the company's app and user interface in more than six years.
Among the presentations by so many new companies was a veteran: Infinity Software Solutions, a TMS provider in business for 25 years. CEO Josh Asbury said the company was taking a 'big swing' in introducing WorkerOS, which he described as 'unifying all the different data, all the different data streams that workers have, the different data pipelines, into a common pool of data.'
Another veteran company that presented was McLeod Software. Its new AI product is MPact.RespondAI. It was described as McLeod's first AI solution, and its functionality is targeted at what already looks like a crowded field: processing voluminous levels of all types of communication.
Rose Rocket's TMS has added its own human-named feature, Ted, to its TMS.AI system, which was introduced earlier this year. It's another entry into the battle for cleaning up communications like emails that pour into brokerages every day. 'You get reduced time spent on manual entry by up to 20%, and new users of Rose Rocket will onboard onto our system 70% faster,' field marketing manager Neena Salifu said of Ted.
David Ely, chief product officer at broker-focused Tai Software, used the word 'flexibility' to describe his company's new offering, which was introduced at the TIA. Tai believes, Ely said, that brokers are 'forced to work around preset work flows, fixed fields, static period logic, and it makes true automation impossible without costly development.' The flexibility he said is being built into Tai will 'let them define their business rules, trigger automated workloads and adapt the platform to fit their unique operations.'
Michael Davidian, the vice president of business operations at TrueNorth, introduced Loadie, its 'virtual dispatcher' that takes information posted to the company's load board and seeks to use AI to match it with a carrier. 'Our AI doesn't just wait,' Davidian said. 'It works to match loads with quality carriers in real time, and the broker can specify what type of carriers match to that broker's load. This can be based on authority compliance criteria, past relationships with that broker and a variety of other customizable factors.'
More articles by John Kingston
Fighting freight fraud an immediate focus at annual meeting of brokers' group
New Mack long-haul truck makes grand entrance in bid for market share
ATBS says independent drivers earned a little more in '24 but drove more as well
The post Breaking from the FreightTech AI pack: Companies make their case at TIA meeting appeared first on FreightWaves.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Sam Altman Is One of the Richest People in the World. It Isn't Because of OpenAI.
Sam Altman Is One of the Richest People in the World. It Isn't Because of OpenAI.

Yahoo

time9 hours ago

  • Yahoo

Sam Altman Is One of the Richest People in the World. It Isn't Because of OpenAI.

"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." 1985–present Who Is Sam Altman? Sam Altman, the CEO of OpenAI, is one of the leading proponents of artificial intelligence in the world. Raised in St. Louis, Altman dropped out of college before founding social mapping company Loopt and launching a career as a venture capitalist. He co-founded OpenAI, the creator of ChatGPT, in 2015 with Elon Musk and others and became CEO in 2019. He remains in this role despite the company's decision to briefly remove him in 2023. In addition to his work in AI, Altman is a successful investor and one of the richest people in the world thanks to stakes in companies such as Reddit and Stripe. Quick Facts FULL NAME: Samuel Harris AltmanBORN: April 22, 1985BIRTHPLACE: Chicago, IllinoisSPOUSE: Oliver Mulherin (2024–present)CHILD: 1 sonASTROLOGICAL SIGN: Taurus Early Life and Family Samuel Harris Altman was born on April 22, 1985, in Chicago. He primarily grew up in St. Louis after his family moved there during his childhood. Sam's mother, Connie Gibstine, works as a dermatologist, while his father, Jerry Altman, was a real estate broker. Sam is the oldest of the couple's four children; he has two brothers, Jack and Max, and a sister, Annie. According to New York Magazine, the close-knit family ate dinner together every night and bonded through games such as table tennis, billiards, and charades. The three Altman boys also played water polo. While Connie is still a practicing doctor, Jerry died unexpectedly from a heart attack in 2018. His death deeply affected Altman. 'I had to pick up the pieces of his life for a little while,' he said in an interview on the What Now? with Trevor Noah podcast. 'And it wasn't until like a week after that, that I really got a moment to just catch my breath and be like, holy sh––, I can't believe this happened.' As adults, Jack and Max developed an entrepreneurial spirit similar to their older brother. Jack co-founded the human resources platform Lattice in 2015 and served as CEO before stepping down in 2023. According to his LinkedIn profile, he now serves as a managing partner at Alt Capital. Max is a co-founder and managing partner at the investment firm Saga Ventures. Altman is estranged from his sister, who has been candid about her mental health and financial struggles. Annie has said the family kept money left to her by her father, and she has supported herself financially through online and in-person sex work. Annie also created and hosts the All Humans Are Human podcast. In January 2025, Annie filed a lawsuit alleging Sam had sexually abused her starting when she was 3 years old. Sam released a joint statement with his mother and brothers calling the claims 'utterly untrue' and countersued his sister for defamation. Both legal proceedings are ongoing. Education Altman developed an interest in technology while in elementary school. At age 8, he received his first computer, an Apple Macintosh, and learned how to code and deconstruct its hardware. 'That was like the glory days of computing, you could immediately do whatever you wanted on the computer, and it was very easy to learn to program, and it was just crazy fun and exciting,' Altman told Stratechery. 'Eventually my parents got me a computer or got us a computer at home, and I was always a crazy nerd, like crazy nerd in like the full sense, just science and math and computers and sci-fi and all of that stuff.' That passion continued into his high school tenure at the John Burroughs School, a private college prep school in St. Louis. While there, Altman befriended a computer science teacher who shared an interest in the future of artificial intelligence. After graduating from Burroughs in 2003, Altman enrolled at Stanford University to study computer science. However, he dropped out two years later at age 19 to create Loopt, an application allowing smartphone users to share their location with friends and colleagues. Altman later said he found the risks of leaving school—and knowing he could always return—worth the potential rewards of forgoing a traditional career path. 'In what is now a very dynamic world, the risky thing is to not go try the things that might really work out,' he said. Investor Altman eventually sold Loopt to banking company Green Dot in 2012 for $43.4 million. However, that was far from his only business project. That same year, Altman used the money from the sale to launch the investment firm Hydrazine, cleverly named after the chemical used in rocket fuel, with his brother Jack. Since 2010, Altman has personally invested in 125 companies, according to The Washington Post. They include Helion Energy, a nuclear fusion researcher; Retro Biosciences, a biotechnology company specializing in cell restoration; and Cruise, a self-driving car company. In 2011, Altman became a partner at Y Combinator, a juggernaut among technology startup accelerators and venture capital firms, and was promoted to president in February 2014. YC has invested in more than 5,000 companies, with DoorDash, Airbnb, Instacart, Twitch, and Reddit among the most recognizable. By December 2015, Altman valued all YC companies at more than $65 billion. Altman eventually stepped down from his role as president in 2019 to focus on another burgeoning venture. OpenAI Co-Founder In December 2015, Altman became one of 11 co-founders of OpenAI, a nonprofit artificial intelligence research company whose goal is to 'advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.' Altman took control as CEO in 2019 after leaving YC. OpenAI is known for creating ChatGPT, a generative chatbot able to respond to written or spoken prompts and questions. As of August 2025, OpenAI has reported roughly 700 million weekly ChatGPT users and is reportedly seeking a valuation of $500 billion. Temporary Removal as CEO In November 2023, the OpenAI board announced it had fired Altman as CEO. In a news release, the company said Altman 'was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities.' However, after more than 500 OpenAI employees signed an open letter threatening to leave the company and follow Altman to a new division at Microsoft, the board reached an agreement within five days of his firing for Altman to return to his leadership position. Despite the controversy, Altman has solidified his status as a leading figure in the AI space. Following the creation of ChatGPT, Time included him on its 2023 list of the 100 most influential people. That same year, he testified before U.S. Congress and urged lawmakers to create regulations for the expanding industry. Feud with Elon Musk Tesla CEO Elon Musk initially served as an OpenAI co-chair with Altman, but the pair became mired in a public rift over the latter's direction for the company. Under Altman's guidance, OpenAI began taking on investors and making money through a for-profit subsidiary—contradictory to the company's for-the-greater-good mission. Musk stepped down from the board in 2018 and later created the xAI program, a direct competitor to OpenAI. Then in 2024, Musk escalated his feud by filing two separate lawsuits against Altman and OpenAI, accusing the company of fraud, breach of contract, and reserving some of its most promising technology for private users. Musk also began derisively referring to the CEO as 'Scam Altman.' OpenAI has denied many of the claims in Musk's litigation. 'I wish he would just compete by building the better product, but I think there's been a lot of tactics, many, many lawsuits, all sorts of other crazy stuff,' Altman said. 'We'll try to just put our head down and keep working.' OpenAI ultimately abandoned plans to create a public benefit corporation, which would have taken control of the company away from its nonprofit branch, in 2025. Net Worth According to Forbes, Altman is one of the 2,500 richest people in the world with an estimated net worth of $1.9 billion as of August 20, 2025. Although OpenAI was valued at $157 billion as recently as November 2024, the vast majority of Altman's fortune doesn't stem from the company. He didn't take any equity upon its 2015 launch—which previously caused concern among investors over his confidence in the venture—and only makes $76,000 per year as CEO. 'If I could go back in time, I would have taken [equity], just some little bit, just to never have to answer this question,' Altman said. Instead, Altman owes much of his wealth to investments, including his stakes in Stripe, Reddit, and Helion. According to Fortune, the value of his Reddit shares alone climbed to $1.4 billion by October 2024. Husband Oliver Mulherin and Personal Life Altman married Oliver Mulherin, an Australian software engineer, in January 2024. The pair met at a party in 2015 and immediately connected despite dating other people at the time. Once Altman and Mulherin were a couple, they split their time between San Francisco and a ranch in Napa, California. Altman has spoken about their future plans, telling The San Francisco Standard they hope to build a family with multiple children. 'I am more excited for that than I think I've ever been for anything,' Altman said. 'Let's start with a few [kids] and see how it goes, but maybe a lot.' The couple welcomed their first son through a surrogate in February 2025. Coming out as gay around age 17 was an unusually anxiety-producing experience for Altman. In addition to telling his parents, he shared his sexual orientation with his classmates during a high school assembly. 'I don't really get nervous for stuff, and I was so nervous to do this. Because I was like, mostly out. Most people knew about it, but it was not the kind of school where you would really stand up and talk about being gay and that was okay,' he told Mostly Human Media. 'I got a long standing ovation out of it and, sort of all day at school that day, people telling me how much it meant to them.' Altman considered running for governor of California in 2018 but eventually declined to seek the office. He affirmed his belief in 'techno-capitalism' and has advocated for universal basic income but also described himself as 'politically homeless' in 2025. Quotes The most expensive investing mistake in the world to make is to be a pessimist, and it's a common one. I think that's actually the most common mistake to make in life. We can manage [AI], I am confident about that. But we won't successfully manage it if we're not extremely vigilant about the risks, and if we don't talk very frankly about how badly it could go wrong. We seem to be really great as a society, as individuals, as a species at dealing with change and with technological change. You know, think about how different the world was 20 years ago. We didn't all have smartphones, and that seems unimaginable now. I do think there's something freeing about getting older and caring less what people think. Fact Check: We strive for accuracy and fairness. If you see something that doesn't look right, contact us! You Might Also Like Nicole Richie's Surprising Adoption Story The Story of Gypsy Rose Blanchard and Her Mother Queen Camilla's Life in Photos Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Founder of Google's Generative AI Team Says Don't Even Bother Getting a Law or Medical Degree, Because AI's Going to Destroy Both Those Careers Before You Can Even Graduate
Founder of Google's Generative AI Team Says Don't Even Bother Getting a Law or Medical Degree, Because AI's Going to Destroy Both Those Careers Before You Can Even Graduate

Yahoo

time9 hours ago

  • Yahoo

Founder of Google's Generative AI Team Says Don't Even Bother Getting a Law or Medical Degree, Because AI's Going to Destroy Both Those Careers Before You Can Even Graduate

One of the pioneers of artificial intelligence at Google is warning the potential doctors and lawyers of tomorrow that AI might steal their futures. In an interview with Business Insider, Jad Tarifi — the 42-year-old founder of Google's first generative AI team who left in 2021 to found his own startup, Integral AI — suggested that ever-improving AI capabilities may soon make getting advanced degrees in law or medicine an exercise in futility. With so many people seeking further education as they get edged out of the job market by AI, Tarifi offered a different perspective: that nobody "should ever do a PhD unless they are obsessed with the field." The AI veteran also told BI that he'd advise caution to anyone looking to get into the fields of medicine and law, which take years — and often hundreds of thousands of dollars — to complete a degree. "In the current medical system, what you learn in medical school is so outdated and based on memorization," Tarifi told the website. Seeking advanced medical or law degrees is, to his thinking, tantamount to "throwing away" several years of one's life. "I have a PhD in AI," he added, "but I don't know how the latest microprocessor works." While some would suggest that seeking postgraduate degrees in AI might help secure their futures as the technology takes over, the former Googler suggested that folks might want to pump the brakes on that, too. "Even things like applying AI to robotics will be solved" by the time you complete a PhD, Tarifi continued. "So either get into something niche like AI for biology, which is still in its very early stages, or just don't get into anything at all." Like OpenAI CEO Sam Altman, who wrongfully insists that AI has already reached "PhD-level" intelligence, Tarifi clearly has very high regard for where the technology is today and where it will soon be headed. As he explained to BI, he finds these alleged advances to be all the more reason to double down on a Silicon Valley version of what it means to be human. "The best thing to work on is more internal," Tarifi told BI. "Meditate. Socialize with your friends. Get to know yourself emotionally." He might want to add "check in with reality" to that milquetoast list of recommendations, too, given that current AI technology has repeatedly demonstrated itself to be very bad at lawyering and even worse at doctoring. Then again, anyone setting off to get a medical degree today is staring down the barrel of nearly a decade of education before they're a full doctor, so it's possible Tarifi is right, if AI continues improving at the rate it has been. On the other hand, of course, until then we're all going to have to live in a world with a looming physician shortage — so if Tarifi is wrong, and AI does stall out, patients around the world are going to be in deep trouble. More on AI prognostications: MIT Student Drops Out Because She Says AGI Will Kill Everyone Before She Can Graduate

AI Hype And Fear Miss The Point—Reality Is In The Middle
AI Hype And Fear Miss The Point—Reality Is In The Middle

Forbes

time14 hours ago

  • Forbes

AI Hype And Fear Miss The Point—Reality Is In The Middle

Depending on who you ask, artificial intelligence is either the miracle cure that will fix everything from healthcare to climate change—or it's nothing more than clever math dressed up as science fiction. These extremes dominate the narrative: on one end, the believers in AI as magic; on the other, the skeptics who dismiss it as snake oil. The truth is less dramatic and more useful. AI is powerful and transformative, but it's not mystical. And it's certainly not useless. The reality sits squarely in the middle, and that's where we should keep our focus. The Magic Illusion The believers in AI's miracle powers often treat it the way people treat "experts" in other fields. A doctor, a lawyer, or a plumber shows up and, by virtue of the title, we assume they must know what they're doing. We defer to their expertise because they wear the uniform. But here's the problem: not every doctor is equally skilled. Not every plumber gets it right the first time. Titles and credentials can mask a wide range of ability, and blind trust can lead to mistakes. A study in BMJ Quality & Safety estimated that 12 million Americans are misdiagnosed each year, and around 50% of those misdiagnoses could potentially cause harm. That's what's happening with AI. The belief that generative AI, agentic AI, or the holy grail—artificial general intelligence (AGI)—will automatically deliver flawless results is misplaced. These systems are not magicians. They are statistical models drawing patterns from mountains of data. If the data is flawed, biased, or incomplete, the output will reflect that. Blind trust is no safer with AI than it is with a misdiagnosis from a doctor. The Snake Oil Skeptics On the opposite end, skeptics wave AI off as smoke and mirrors. They argue it's just bits and bytes, nothing more than a machine stringing together probabilities based on human inputs. In their view, AI doesn't create anything new—it just repackages what's already out there. This camp reminds me of how some people react to Tesla crashes. Every time a Tesla—especially one in "self-driving" mode—gets into an accident, headlines flare up about the dangers of autonomous vehicles. The scrutiny is intense, often disproportionate. Human drivers crash cars thousands of times a day across every brand and model, but those don't make the nightly news. Statistically, Teslas and other semi-autonomous vehicles experience fewer accidents per mile than traditional cars. Tesla's Q2 2025 Vehicle Safety Report noted one accident for every 6.69 million miles driven using Autopilot technology, compared to one accident per 702,000 miles for all U.S. vehicles. It's the same with air travel. Every commercial airline accident grabs global attention, despite the fact that flying remains one of the safest ways to travel. According to the International Air Transport Association (IATA), in 2023 there was one major aviation accident for every 1.26 million flights—making the fatality risk just one in 1.26 million. AI faces similar scrutiny. Yes, AI makes mistakes. Sometimes glaring ones. But that doesn't mean the technology is worthless. Dismissing AI because it's not perfect ignores the context—and the measurable improvements it already delivers in productivity, efficiency and access to information. McKinsey reported in 2023 that generative AI could add $2.6 to $4.4 trillion in annual global productivity gains across industries. The Reality in the Middle Both extremes miss the point. AI isn't magic, but it's not fraud either. Used well, it's a powerful tool. It can streamline tasks that used to eat up hours. It can democratize access to knowledge and resources, putting capabilities once reserved for specialists into the hands of everyday people. But AI is not infallible. It will confidently serve up wrong answers. It can introduce bias. And it can't yet replicate human judgment, creativity, or empathy. Anyone who treats AI outputs as gospel is setting themselves up for disappointment—or worse. Think of it the way you think of Google search results. The top links aren't guaranteed to be the most accurate or reliable; they're just what the algorithm surfaces. You still need to bring your own judgment. AI works the same way. It can help you move faster, but you have to apply context and critical thinking. Why Skepticism Matters The power of AI depends on several factors: the quality and quantity of the data it was trained on, the algorithms behind it, the way you prompt it and—perhaps most important—the wisdom of the human using it. Healthy skepticism is not cynicism. It's the difference between using AI as a lever to do more and treating it as an oracle. If you assume every AI answer is correct, you're no better off than someone who assumes every plumber knows exactly what they're doing. But if you reject AI altogether, you're ignoring one of the most significant tools of our time. Where We Go from Here As AI evolves—from early machine learning models to generative systems to agentic AI and, eventually, toward artificial general intelligence—it will keep raising both hopes and alarms. The best way forward is to resist the pull of extremes. AI is amazing, but not magical. It's fallible, but not fraudulent. It's a tool, and like any tool, its value depends on how it's used. The middle ground may not grab headlines the way hype or fear does, but it's where progress actually happens. And that's where we should keep our eyes: not on the illusions of magic or the accusations of snake oil, but on the practical ways AI can help us work smarter, live better and think more critically.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store