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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
For decades now, we have been told that artificial intelligence systems will soon replace human workers. Sixty years ago, for example, Herbert Simon, who received a Nobel Prize in economics and a Turing Award in computing, predicted that machines will be capable, within 20 years, of doing any work a man can do. More recently, we have Daniel Susskinds 2020 award-winning book with the title that says it all: A World Without Work. Are these bleak predictions finally coming true? ChatGPT turns 3 years old this month, and many think large language models will finally deliver on the promise of AI replacing human workers. LLMs can be used to write emails and reports, summarize documents, and otherwise do many of the tasks that managers are supposed to do. Other forms of generative AI can create images and videos for advertising or code for software. From Amazon to General Motors to Booz Allen Hamilton, layoffs are being announced and blamed on AI. Amazon said it would cut 14,000 corporate jobs. United Parcel Service (UPS) said it had reduced its management workforce by about 14,000 positions over the past 22 months. And Target said it would cut 1,800 corporate roles. Some academic economists have also chimed in: The St. Louis Federal Reserve found a (weak) correlation between theoretical AI exposure and actual AI adoption in 12 occupational categories. Yet we remain skeptical of the claim that AI is responsible for these layoffs. A recent MIT Media Lab study found that 95% of generative AI pilot business projects were failing. Another survey by Atlassian concluded that 96% of businesses have not seen dramatic improvements in organizational efficiency, innovation, or work quality. Still another study found that 40% of the business people surveyed have received AI slop at work in the last month and that it takes nearly two hours, on average, to fix each instance of slop. In addition, they no longer trust their AI-enabled peers, find them less creative, and find them less intelligent or capable. If AI isnt doing much, its unlikely to be responsible for the layoffs. Some have pointed to the rapid hiring in the tech sector during and after the pandemic when the U.S. Federal Reserve set interest rates near zero, reports the BBCs Danielle Kaye. The resulting hiring set these firms up for eventual workforce reductions, experts saida dynamic separate from the generative AI boom over the last three years, Kaye wrote. Others have pointed to fears that an impending recession may be starting due to higher tariffs, fewer foreign-worker visas, the government shutdown, a backlash against DEI and clean energy spending, ballooning federal government debt, and the presence of federal troops in U.S. cities. For layoffs in the tech sector, a likely culprit is the financial stress that companies are experiencing because of their huge spending on AI infrastructure. Companies that are spending a lot with no significant increases in revenue can try to sustain profitability by cutting costs. Amazon increased its total CapEx from $54 billion in 2023 to $84 billion in 2024, and an estimated $118 billion in 2025. Meta is securing a $27 billion credit line to fund its data centers. Oracle plans to borrow $25 billion annually over the next few years to fulfill its AI contracts. Were running out of simple ways to secure more funding, so cost-cutting will follow, Pratik Ratadiya, head of product at AI startup Narravance, wrote on X. I maintain that companies have overspent on LLMs before establishing a sustainable financial model for these expenses. Weve seen this act before. When companies are financially stressed, a relatively easy solution is to lay off workers and ask those who are not laid off to work harder and be thankful that they still have jobs. AI is just a convenient excuse for this cost-cutting. Last week, when Amazon slashed 14,000 corporate jobs and hinted that more cuts could be coming, a top executive noted the current generation of AI is enabling companies to innovate much faster than ever before. Shortly thereafter, another Amazon rep anonymously admitted to NBC News that AI is not the reason behind the vast majority of reductions. On an investor call, Amazon CEO Andy Jassy admitted that the layoffs were not even really AI driven.” We have been following the slow growth in revenues for generative AI over the last few years, and the revenues are neither big enough to support the number of layoffs attributed to AI, nor to justify the capital expenditures on AI cloud infrastructure. Those expenditures may be approaching $1 trillion for 2025, while AI revenuewhich would be used to pay for the use of AI infrastructure to run the softwarewill not exceed $30 billion this year. Are we to believe that such a small amount of revenue is driving economy-wide layoffs? Investors cant decide whether to cheer or fear these investments. The revenue is minuscule for AI-platform companies like OpenAI that are buyers, but is magnificent for companies like Nvidia that are sellers. Nvidias market capitalization recently topped $5 trillion, while OpenAI admits that it will have $115 billion in cumulative losses by 2029. (Based on Sam Altmans history of overly optimistic predictions, we suspect the losses will be even larger.) The lack of transparency doesnt help. OpenAI, Anthropic, and other AI creators are not public companies that are required to release audited figures each quarter. And most Big Tech companies do not separate AI from other revenues. (Microsoft is the only one.) Thus, we are flying in the dark. Meanwhile, college graduates are having trouble finding jobs, and many young people are convinced by the end-of-work narrative that there is no point in preparing for jobs. Ironically, surrendering to this narrative makes them even less employable. The wild exaggerations from LLM promoters certainly help them raise funds for their quixotic quest for artificial general intelligence. But it brings us no closer to that goal, all while diverting valuable physical, financial, and human resources from more promising pursuits.
Category:
E-Commerce
Dole invented a new fruit. The Dole Colada Royale Pineapple is sweet and tangy with notes of coconut and, as the name suggests, pia colada. Unlike its golden yellow counterpart, the Colada Royale has a cream-colored pulp with a green-to-golden shell. It also took more than 15 years to get it just right. The suggested recipes the company released with the new fruit include snacks like a pineapple and coconut carpaccio and a basil-wrapped pineapple with pine zest. Clearly this is meant to be a luxury pineapple experience. The fruit, which is now available in select grocery stores in the U.S. and Canada, is 100% non-GMO and naturally bred. The company didn’t share its suggested retail price, but the Colada Royale comes amid a wider trend toward “designer” pineapples. Just last year, Fresh Del Monte released a pink pineapple it called the Pinkglow, which it followed up with a $400 Rubyglow. [Photo: Dole] A new growing process Developing new pineapples requires patience since the natural process can stretch out for nine years or more. “You have to go through thousands of pollinations and develop thousands of seeds and then have the capacity to pinpoint that particular plant that combines what you are looking for,” says Roberto Young, director of pineapple breeding at Doles farm in La Ceiba, Honduras. He led the team that developed the Colada Royale variety. The new pineapple also had be grown in different seasons, since temperature can affect the taste of the finished product. All in all, that means it takes thousands of attempts that go wrong in hopes of getting one that goes right. Dole pineapple breeder Roberto Young [Photo: Dole] “Usually, you have to discard most of the fruit because it could taste very good during the summer, but in the winter you cannot really taste it because it’s too tangy, it’s very acidic,” Young tells Fast Company. Plant breeders consider factors like size, productivity, and color as they’re developing a new product, but taste, of course, is the most important. “It doesn’t help if the fruit is a good size, good productivity, but doesn’t taste like pineapple,” Young says. Dole’s new pineapple had the right taste, but its cream-colored pulp was at first a concern since consumers today are used to yellow pulp in pineapples. At the produce and floral trade show in Anaheim, California, where Dole unveiled the Colada Royale in October, Young says people were hesitant about the fruituntil they tasted it. Then, he says, their reaction was Wow, this is something different. [Photo: Dole] Developing a new market The goal from the beginning was to develop a unique flavor and bring something new to the market. Pineapple is genetically very variable, Young says, and the biggest challenge was consistency. Plant breeding doesn’t have a high success rateIf you are a plant breeder, you might be successful, or you might not,” he concedesand pineapple is especially tricky since it has a relatively long harvest cycle. The process requires first planting parents, which take about a year to produce flowers that can be pollinated. From there, it’s about five more months until the fruit can be harvested. The seeds from that harvest are then planted to get all new plants, repeating the cycle. [Photo: Dole] The results need to be repeatable to ensure the fruit can be mass-produced, so it takes at least three generationsroughly nin yearsto develop a new product. The Colada Royale took longer, and Young, a Honduran native who’s been with Dole for 28 years, has been on the project from the start. He considers it his legacy. “I feel really very, very grateful,” he says. Dole is also looking at the new fruit as a legacy play of its own. The company plans to reinvest a portion of the proceeds of every box of the pineapple sold to create a community center in La Ceiba that will provide healthcare services, language classes, and vocational training. In its most recent earnings report, Dole said its second-quarter 2025 revenue was $2.4 billion, an increase of 14.3% over the same period in 2024. The company is expected to report third-quarter financials on November 10. Designer pineapples may sound like a novelty, but since they can be upsold, fruit growers and grocers alike may find they’re a sweet addition to the produce section.
Category:
E-Commerce
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