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The Federal Aviation Administration (FAA) has mandated that, beginning today, flights across America will be reduced at 40 airports due to the ongoing government shutdown. According to the agency, the flight reductions are being implemented due to safety issues stemming from a shortage of air traffic controllers, who are not being paid during the shutdown. The reductions are expected to lead to a wave of flight cancellations, the number of which is set to increase every day between now and November 14. Heres what you need to know about the flight reductions, including the full list and a map of the 40 airports affected. Why is the FAA mandating flight reductions? The FAA says it has safety concerns stemming from the ongoing government shutdown, which began on October 1 and is the longest US government shutdown in history. Hundreds of thousands of government workers have been furloughed without pay during the shutdown. But some federal employees, including air traffic controllers, are designated as essential workers. Those workers are required to stay on the job during a shutdown, though their pay is paused. The problem is that those essential workers still have bills to pay, so as the shutdown drags on, necessity dictates that some are resigning to take on other paid roles in the private sector, while others are calling in sick. Fewer air traffic controllers and other essential airport staff reporting to work means the risk to flier safety increases. To help mitigate that growing risk, the FAA has now decided to restrict a select number of flights at 40 U.S. airports. What are the specifics of the FAAs flight reductions? In a notice posted to the FAAs website yesterday, the agency said that it would initiate a 10% reduction in flights at 40 U.S. airports starting today, Friday, November 7. However, the reductions will be phased in gradually over the next week. The first reduction begins today, with the full 10% taking effect a week later. Here is how the reduction phases will work: Friday, November 7: 4% reduction in flight operations Tuesday, November 11: 6% reduction in flight operations Thursday, November 13: 8% reduction in flight operations Friday, November 14: 10% reduction in flight operations Announcing the reductions, FAA Administrator Bryan Bedford said that the agency was seeing signs of stress in the system, so we are proactively reducing the number of flights to make sure the American people continue to fly safely. He also warned that the FAA will not hesitate to take further action if needed. What airports are affected by the FAA reductions? Most of the major airports in the country are impacted by the reductions, including central hubs like John F. Kennedy International Airport in New York, Hartsfield-Jackson Atlanta International Airport, Los Angeles International Airport, and Chicago OHare International Airport. The full list of airports affected is as follows: ANC Ted Stevens Anchorage International Airport ATL Hartsfield-Jackson Atlanta International Airport BOS Boston Logan International Airport BWI Baltimore/Washington International Airport CLT Charlotte Douglas International Airport CVG Cincinnati/Northern Kentucky International Airport DAL Dallas Love Field DCA Ronald Reagan Washington National Airport DEN Denver International Airport DFW Dallas/Fort Worth International Airport DTW Detroit Metropolitan Wayne County Airport EWR Newark Liberty International Airport FLL Fort Lauderdale/Hollywood International Airport HNL Honolulu International Airport HOU William P. Hobby Airport IAD Washington Dulles International Airport IAH George Bush Houston Intercontinental Airport IND Indianapolis International Airport JFK New York John F. Kennedy International Airport LAS Las Vegas McCarran International Airport LAX Los Angeles International Airport LGA New York LaGuardia Airport MCO Orlando International Airport MDW Chicago Midway International Airport MEM Memphis International Airport MIA Miami International Airport MSP MinneapolisSt. Paul International Airport OAK Oakland International Airport ONT Ontario International Airport ORD Chicago OHare International Airport PDX Portland International Airport PHL Philadelphia International Airport PHX Phoenix Sky Harbor International Airport SAN San Diego International Airport SDF Louisville International Airport SEA SeattleTacoma International Airport SFO San Francisco International Airport SLC Salt Lake City International Airport TEB Teterboro Airport TPA Tampa International Airport window.addEventListener("message",function(a){if(void 0!==a.data["datawrapper-height"]){var e=document.querySelectorAll("iframe");for(var t in a.data["datawrapper-height"])for(var r,i=0;r=e[i];i++)if(r.contentWindow===a.source){var d=a.data["datawrapper-height"][t]+"px";r.style.height=d}}}); What flights will be reduced? If your flight is among the reductions, it will be canceled. But it appears that those cancellations will not be decided by the FAA itself. Instead, it will be left up to the airlines to decide which flights they will cut to meet their reduction requirements. In the memo the FAA posted, the agency states that The order does not require a reduction in international flights. Carriers may use their own discretion to decide which flights are canceled to reach the orders goal. Can I get a refund if my flight is canceled? Yesterday, Fast Company reported that many major U.S. airlines, including United Airlines, American Airlines, and Delta Air Lines, confirmed that they would issue full refunds to passengers whose flights are canceled. However, other airlines remained silent on the matter. But now it appears airlines will not have a choice in the matter. The FAAs memo states that Airlines will be required to issue full refunds. However, the FAA says airlines will not be responsible for covering secondary costs, such as hotel stays. That means if your flight is canceled, you can get a full refund from the airline, but if that cancellation requires you to stay at a local hotel until you can get on another flight, the airline will not be responsible for covering your hotel costs. Will flight cancellations get worse? That remains to be seen and is largely dependent on how long the government shutdown drags on. What’s certain is that cancellations will increase from today until next Friday, when the full 10% reduction order takes effect. But there is no guarantee that reductions will remain capped at 10%. The FAA says that Decisions to increase or decrease these flight reductions will be informed by safety data.
Category:
E-Commerce
A decade ago, Ben Collins quit his job as a corporate accountant and started teaching other people how to use spreadsheets more effectively. That move, terrifying as it seemed at the time, paid off brilliantly. Today Collins is the proprietor of an online spreadsheet training academy and the author of a weekly newsletter dedicated entirely to Google Sheets tips. Some 50,000 people subscribe. And yet once again Collins is finding himself facing a sense of uncertainty over what’s nextas the very nature of what a spreadsheet even is enters a dizzying spiral of transformation. “We’ve had more innovation in the last two years than in the 20 before that,” Collins says, referencing the explosion of generative AI technology and its effect on the spreadsheet arena. He isn’t exaggerating. Up until recently, figuring out how to use a spreadsheet to its full potential was akin to learning a foreign language: You had complex formulas, mountains of cryptic functions, and a labyrinth of overwhelming options to decipher. If you were trying to do anything beyond just putting a few pieces of basic data into cells, you practically needed a dedicated spreadsheet expert to figure out how to make it happen. But generative AI is currently reshaping the humble and stubbornly complex spreadsheetwhich, for the most part, seems to be a good thing. After all, no one wants a massive project (or migraine) every time the need for crunching numbers comes up. And while generative AI has plenty of issues both practical and ethical, working within the confines of a single spreadsheet and the black-and-white world of objective data seems to be where those limitations are least troubling, and where AI’s strengths are primed to shine. Still, there’s no escaping that a whole new era is upon us. The biggest question now is how, exactly, it all plays out from hereand whether the need for a spreadsheet expert, be it an independent consultant like Collins or the go-to problem-solver within any office or organization, is bound to evolve or destined to become a relic from a bygone time. The spreadsheet in the AI era When Collins quit his accounting job in 2014 and embarked on a self-made, spreadsheet-centric career path, Anna Monaco was 11 years old. Today, at the ripe old age of 22, Monaco is the founder and CEO of Paradigm, a next-gen spreadsheet service that makes Excel look like an abacus by comparison. Anna Monaco [Photo: Paradigm] The idea behind Paradigm is to take all the complexity and manual effort out of spreadsheets and make managing data simple. Instead of worrying about formulas and functions and formatting, you just upload your dataor even tell the service what sort of data you need and let it source it for you. Paradigm creates your spreadsheet, makes it look slick and professional, and suggests next-step actions to work with the data and put it to practical use. “Manual data entry shouldn’t exist,” Monaco says. “We’re not just a spreadsheet. We’re replacing weeks of labor.” Paradigm and its AI-centric spreadsheet startup contemporariesservices such as Sourcetable, Grid, and Juliusaren’t only replacing labor. They’re also replacing an entire way of thinking about spreadsheets and their role in our lives. And while the reigning spreadsheet-service royalty aren’t exactly rushing to rebuild their long-established interfaces, the same basic principle is already appearing in those environments as well, albeit on a much smaller scale and in a more tacked-on sense. To wit: Microsoft’s AI Copilot is now thoroughly integrated into Excel and can be summoned to help you create formulas and analyze data without needing to do all the traditional heavy lifting. And Google is doing something similar with Gemini in Sheets, now making the chatbot available on demand in any cell with a simple (though extremely familiar-feeling to any longtime spreadsheet user) “=AI” command for summoning its assistance. “You dont need to be an AI or spreadsheet expert to do it,” Google wrote in its announcement of the expansion. Ben Collins [Photo: Ben Collins] Of curse, not everyone is ecstatic about the in-your-face AI in those more traditional spreadsheet setupsespecially people who arent seeking out such features and find their presence can be annoying or even downright dangerous. AI features often insert themselves into situations regardless of whether they’re actively summoned. And while AI-introduced errors within a spreadsheet generally seem at least a little less egregious than generative AI at its most hallucinogenic, Microsoft is warning that Copilot is best suited for “scenarios where deterministic accuracy is not required” and not for “any task requiring accuracy or reproducibility” (ouch). So where, then, does all of this leave the spreadsheet expertsfolks like Ben Collins who have spent decades building up deep knowledge in the inner workings of the spreadsheet and all the logic around it? The answer, it turns out (much like the conventional spreadsheet itself) is complicated. Expertise, reinvented Collins sees what’s happening with spreadsheets at Google and Microsoft, and at the more ambitious scrappy spreadsheet startups like Paradigm, as an unambiguous net positive. “All the AI stuff is democratizing spreadsheets in the same way it’s doing for coding,” he says. “It lets more people have access to those insights and that knowledge rather than just the technically savvy crowd.” And yetlike in so many other industries right nowit’s impossible to avoid questions over the effects this shift could have on the future. We’re all living through a transition where some say AI is taking away countless jobs and others insist it’s creating as many as it’s killing, or at the very least just changing what types of roles matter. As with many careers, the only real certainty surrounding spreadsheet-related professions right now is a complete and utter sense of uncertainty. Collins, for his part, remains upbeat. He says he’s seen a shift in the sort of information knowledge workers are seeking around spreadsheets but that he continues to see a strong demand for a deeper understanding of the tools themselves and the data philosophies around them. “There’s still a need to have a foundation of knowledge and an understanding of how these things work,” Collins says, even if only so you can figure out how to ask an AI assistant for what you need and then assess the quality of what you’re given in return. “It’s less emphasis on pure syntax and the mechanics and more [on] how we can use these tools at a higher level and be more effective,” he adds. Collins also notes that for all the buzz around newer AI-centric spreadsheet tools, the vast majority of peopleand businessesare so deeply engrained in the Google or Microsoft ecosystems and so familiar with those environments and the security assurances around them that they won’t be making a major night-and-day change anytime soon. Even if AI does slowly seep its way into their work within those domains. That’s a point Monaco is well aware of. She sees Paradigm as being less of a play at pulling the masses away from Sheets or Excel and more of a forward-looking option for a different generation of businesses. “There’s a new way that companies are being built, where smaller teams are commanding a lot more resources and doing a lot more powerful things with the resources they have,” she says. “Paradigm is building for that future.” One thing she and Collins agree on is that the need for expertise isn’t going anywhere. Monaco says she’s already seeing the emergence of what she calls “Paradigm consultants”people who specialize specifically in supporting the tool she created and helping users figure out how to get the most out of it. “It’s a different expertise,” Monaco says. “There’s still a huge value in becoming a power user and knowing how to harness these tools. There’s an even bigger value now that these tools are more powerful.” Collins also envisions his role evolving. And he is 100% up to the challenge of adapting right alongside that. “The need for training is as strong as ever,” he says. And that, it seems, is something where a genuine human touch and the type of critical-thinking perspective AI can’t entirely emulate remainsfor the current moment, at leastas important as ever.
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E-Commerce
The debate around AI ROI has gotten loudand, frankly, a little cyclical. One moment, were hearing that AI is the key to exponential growth; the next, that 95% of AI pilots fail. At Addi, weve been able to leverage AI to grow 4x faster while operating at ~2x the profitability of BNPL peers. This year alone, weve saved more than $500,000 from our AI initiatives. But how have we accomplished such strong AI ROI? The difference between performative AI and AI with returns isnt in which model or tool youre using; its how your team is using them. Heres how weve driven genuine AI-native team adoption and built a workflow/data pipeline that actually makes sense. 1) Hire and grow for fluency We run nationwide, admissions-style assessments to find talent in unexpected places (from the Amazon to the Ecuador border), then teach AI-native workflows from day one. From our intern program through our senior leadership, we design our interview process for the AI age. We assign a relevant projectsomething candidates could use AI to help withbut then have a panel interview where they present their project, ensuring that candidates actually know the ins and outs of their work without an AI aid. Our interviews additionally probe into potential candidates own familiarity with AI tools, while our intern cohorts get hands-on with agents and graduate into teams already expecting that fluency. The pipeline is designed to recruit for an AI era from the get-go, versus being an afterthought once already employed. 2) Codify AI-native rituals into culture When it comes to cultivating an AI-native work culture, AI-native is a learned behavior. We invested in extensive AI onboarding and habit-building, pairing every knowledge worker with the right agent or copilot, and encouraging AI usage as the company default. Today, more than 90% of our engineers are weekly active copilot users and ~80% of AI-generated code is accepted. This translates into efficiency gains of up to 60% without increasing headcount. Weve kept our core product engineering team flat for three years while shipping more products. The story here isnt in the savings; its in the deep level of AI adoption weve witnessed among our employees by securing their buy-in, setting expectations for an AI-friendly environment, and offering targeted training. Rollouts fail when AI is treated as a here only if you need it tool. They work when companies rewire rituals around ite.g., code reviews with AI diffs, CX stand-ups that inspect agent transcripts, legal postmortems that include our AIs outputsto normalize the behavior. You might even consider baking AI proficiency into employee reviews. In other words, dont over-index on tools; over-index on culture. That cultural shift is why AI usage at Addi is voluntary yet ubiquitous. 3) Design AI as a colleague Theres a reason our in-house agents have regular names like Addri and Aegis. Every agent at Addi is treated like an employeeone with a clear scope, service-level agreements (SLAs), and metrics. Addris job is first-contact resolution with target customer satisfaction (CSAT); the merchant agent owns KYP throughput and reactivation; Aegis owns escalation latency and evidentiary completeness. Human owners review outputs and tune prompts like they would a new hires playbook, and we always welcome teamwide feedback on how our fellow agentic employees can improve before their next review cycle. Moreover, our AI employees have the same depth of contextual knowledge and understanding that a human employee would, to help them function side-by-side with our team and minimize the frustration that comes with false or limited context. Our agents are tailored to specific roles, not catchalls from an outside vendor that shoehorns a base agent into a wide variety of situations. We ensure theyre trained with high-quality, high-volume, company-owned data. We spent four-plus years building a world-leading data platform, ensuring more than 40 terabytes of data was instantly available as it began building AI agents, giving our digital teammates the best possible training. 4) Invest in the right foundations AI-first isnt what works; data-first is. This is how you ensure your AI colleagues have that employee-like context. More than four years ago (pre-LLMs!) we made the decision to invest in a next-generation data engine that would ensure everything that happened on our platform (from a single text message to a full underwriting analysis) would be stored and could be queried by anyone and anythingtraditional AI models, human analysts, and, yes, even LLMs via vectorization. With a single monorepo and an event-based system that logs everything, we have nearly perfect context: 50 terabytes of clean, searchable data. If you dont own your stack (i.e., control your data and event logs) you will rent your advantage to a vendor. Set your AI-native team up for success by logging everything, and reap the benefits of a database that can be read by humans and AI alike. 5) Celebrate adoption Reward employees usage of AI by celebrating adoption rates, cycle-time reduction, and defects avoided. This year, our AI initiatives saved upwards of $500,000 in annual operating costs. For lean teams where a startups success is their teammates success, these metrics (and transparency) matter. That $500K isnt a bottom-line cut; its $500K back into the pockets of our employees in the form of raises, better benefits packages, and profit sharing. Tie budgets to solved tickets, minutes saved, merchants activatedthen compound wins into subsequent quarters. That mindset of AI gains are your gains is why AI can comfortably power half of our legal and coding throughput, a big chunk of CX, and critical onboarding flows. In Summary Train your people to be AI-native and give them the infrastructure to thrive. The models will change. The muscle you build wont. This approach is how weve been able to launch more products more quickly while maintaining a generally lean teamand its why Im confident the best AI ROI stories are still to come.
Category:
E-Commerce
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