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Most managers are using AI the same way they use any productivity tool: to move faster. It summarizes meetings, drafts responses, and clears small tasks off the plate. That helps, but it misses the real shift. The real change begins when AI stops assisting and starts acting. When systems resolve issues, trigger workflows, and make routine decisions without human involvement, the work itself changes. And when the work changes, the job has to change too. Lets take the example of an airline and lost luggage. Generative AI can explain what steps to take to recover a lost bag. Agentic AI aims to actually find the bag, reroute it, and deliver it. The person that was working in lost luggage, doing these easily automated tasks, can now be freed to become more of a concierge for these disgruntled passengers. As agentic AI solves the problem, the human handles the soft skills of apologizing, and offering vouchers to smooth the passengers transition to a new locale that was disrupted by a misplaced bag, and perhaps going a step further to make personal recommendations for local shops to pick up supplies. With AI moving from reporting information to taking action, leaders can now rethink how jobs are designed, measured, and supported to best maximize on the potential of the position and the abilities of the person in it. According to data from McKinsey, 78% percent of respondents have said their organizations use AI in at least one business function. Though some are still applying it on top of existing roles rather than redesigning work around it. 1. When tasks disappear, judgment becomes the job Many roles are still structured around task lists: answer tickets, process requests, close cases. As AI takes on more repeatable execution, what remains for humans are exceptions, tradeoffs, and judgment calls that dont come with a script. Take for example a member of the service team at a car dealership. Up until now the majority of their tasks have been scheduling appointments, sending follow-up emails, making follow-up calls and texts. Agentic AI can remove the bulk of that work. Now that member of the team can make the decisions that require nuance and critical thinking. They know that the owner of a certain vehicle is retired and has trouble getting around. They can see that their appointment is on a morning when it might snow. The human then calls the customer and rebooks them for when the weather is more favorable. These sorts of human touches are what will now set this dealership apart and grow customer loyalty. 2. Measure what humans now contribute As AI absorbs volume, measuring people on speed and responsiveness pushes them to compete with machines on machine strengths. Instead, evaluation should reflect what humans uniquely provide: quality of judgment, ability to prevent repeat issues, and stewardship of systems that learn over time. In the example above, the service team member at the car dealership could now be assessed not by number of appointments set, or cancellations rescheduled, but by outcomes such as customer satisfaction, and repeat business. The KPIs should be in-person or over the phone touch points with a customer to up-sell, or suggest better services that their vehicle will need. 3. Human accountability for AI work When AI is involved, ownership has to be explicit. Someone must own outcomes, even if a system takes the action. Someone must own escalation rules, workflows, and reviews. Without that clarity, AI doesnt reduce friction, it just shifts it to the moment something goes wrong. In the car dealership example, a human should still be overseeing the AI agents doing the work and ensuring that its done well. If there are problems, they should be able to catch them and come up with solutions. One of the biggest risks with AI isnt failure, its neglect from humans overseeing the overall strategy and bigger goals that the AI is completing. Systems that mostly work fade into the background until they dont. Teams need protected time to review where AI performed well, where it struggled, and why. Looking ahead This shift isnt theoretical. Klarna has publicly described how its AI assistant now handles a significant share of customer service interactions, an example of how quickly AI moves from support tool to frontline worker. Once AI is doing real work, the old job descriptions stop making sense. Roles, accountability, metrics, and oversight all need to be redesigned together. AI improves fastest when humans actively review and guide it, not when oversight is treated as an afterthought. The next phase of work isnt about managing people plus tools. Its about designing systems where expectations are clear, ownership is explicit, humans focus on meaningful decisions, and AI quietly handles the rest. If leaders dont redesign the job intentionally, it will be redesigned for them, by the technology, by urgent failures, and by the slow erosion of clarity inside their teams.
Category:
E-Commerce
For decades, America has told a singular story about success, suggesting that the only acceptable path to success is a four-year degree. Any other trajectory was treated as a detour. Fortunately, that story is changing with new, acceptable ways to achieve success. At both the federal and state levels, the U.S. is gradually reinventing its education system to value skills, not just diplomas. From new federal initiatives like Workforce Pell to state-led Education Savings Accounts (ESAs), policy is beginning to catch up to what the economy has been signaling for years. As a country, we need electricians, plumbers, welders, and builders as much as we need white-collar workers. A handful of states now have ESA programs. The main purpose of ESAs is to give parents flexibility with school choice. While ESAs are most widely used for private school tuition, some schools and school networks are now exploring using trades programs, including technical courses, apprenticeships, or industry certifications, as a differentiator to attract parents. There have also been changes to 529 college savings plans, and those funds can be used for short-term credentials and trade-related certificates. These small shifts mark a turning point and are building momentum towards career paths for many, rather than college for all. HANDS-ON EDUCATION For students, the shift can be life-changing. A report from the Southern Regional Education Board found that high school students who take three or more career technical education (CTE) credits had a reduced risk of dropping out. Students who dont always thrive in traditional classroom settings are starting to see that the education system not only values them, but is welcoming them. Ive seen the power of hands-on education at one of our customers, Oklahoma-based Pryor High School Innovation Center, which is utilizing interactive training to drive its HVAC pre-apprenticeship program. The program takes students from zero industry skills to job-ready through a curated pathway of online and in-person trades training. Learning should be more like a set of Lego blocks, and students can build their own pathway by stacking short-term credentials, apprenticeships, and hands-on training programs to suit their strengths. The ability to have a modular, customizable model of learning is emerging in real-time as states like Florida, Arizona, and Texas expand ESAs and workforce grants to fund job-specific education. The flexibility also means faster, stronger pipelines from high school to high-wage work. GOVERNMENT INITIATIVES CAN HELP Career pathways go beyond education and directly translate into national competitiveness. The Inflation Reduction Act and CHIPS and Science Act created significant momentum for the U.S. manufacturing industry, but we need a skilled workforce to make that happen. The new Workforce Pell initiative can help. The rules now expand eligibility to short-term programs, typically just eight to 15 weeks, and directly lead to jobs. The impact could be transformative. The Workforce Pell expansion is expected to bring roughly 100,000 new students into short-term credentialing programs that were previously ineligible for aid. According to the Congressional Budget Office, about $300 million in new Pell funding will flow through the program, with average awards projected at $2,200 per student. The program is slated to take effect in July 2026. Last year, the U.S. Department of Labor announced over $86 million in Industry-Driven Skills Training Fund grants awarded to 14 states, designed to boost innovation, enhance domestic manufacturing and help meet workforce demands nationwide. Of the funding, $20 million will directly support training workers in marine electrical, manufacturing, welding, plus other skilled trades. WHO BENEFITS? While these programs benefit students by providing access to affordable, focused education that leads directly to employment, they also help businesses. Businesses will have access to a stronger, qualified talent pipeline to fill their gaps and replace retiring workers. The programs also help to power a cultural shift were seeing in the perception of skilled trades. For too long, education other than a four-year degree carried a stigma. Fortunately, that mindset is changing. In a recent Harris Poll, 91% of respondents agreed that trade jobs are just as vital to society as white-collar jobs, and 90% said skilled trades offer a faster and more affordable path to a good career. Gen Z has shown an increased interest in the trades, and this year alone, TikTok has virally turned trades like blacksmithing and horseshoeing into career paths. The Skilled Careers Coalition and SkillsUSA partnered with TikTok to influence students’ interest in trade schools, apprenticeships, and high-demand CTE careers. More exposure will go a long way to encourage the next generation of workers to explore and pursue skilled trades. A MORE COMPETITIVE ECONOMY If the federal and state governments continue to align policy and funding with workforce demand, we could see a future where students are able to pursue education tailored to their ambitions and natural aptitudes. Enabling this will do wonders for the economy and deliver a happier, more respectful and proud community. If you ever need a reminder of why this matters, go talk to an electrician or an HVAC technician. You will rarely meet anyone more proud of the role they play in keeping our world running. Forming a new ecosystem that treats education as a lifelong, adaptable tool that is built around outcomes will create, by extension, a more competitive economy. Doug Donovan is CEO and founder of Interplay Learning.
Category:
E-Commerce
If you live near an AI data center, you may already be seeing higher electricity bills. But if that data center is for Anthropic, the AI company now says it will cover the price hikes consumers face. The data center boom unfolding across the country is driving up electricity costs and adding more stress to the power grid. That added demand means the grid needs serious upgrades, or even new sources of power. In many places, those rising costs are being passed directly onto community members. But more and more legislators and even tech executives are raising the idea that the companies behind the data centers should foot the bill. Anthropic, which created the Claude AI chatbot, is the latest company to join that mindset. “We’ve been clear that the U.S. needs to build AI infrastructure at scale to stay competitive, but the costs of powering our models should fall on Anthropic, not everyday Americans,” Dario Amodei, Anthropic founder and CEO, said in a statement. “We look forward to working with communities, local governments, and the [Trump administration] to get this right.” How will this actually work? As Anthropic invests in more AI infrastructure, it says it will “will cover electricity price increases that consumers face from our data centers, per a post to its website this week. [AI] companies shouldnt leave American ratepayers to pick up the tab. Data centers can hike electricity costs because they drive up electricity demand and they can require costly infrastructure upgrades, the costs of which get passed on to ratepayers. Anthropic says it will address both of those factors, first by covering 100% of the grid upgrades needed to interconnect our data centers, paid through increases to our monthly electric charges. That could include things like new or upgraded transmission lines, substations, or generally any supporting infrastructure needed for its data centers. Anthropic also says it will develop new sources of power to add supply to the growing electricity demand; work with utilities to cover the price impacts where new power isnt being generated yet; and reduce strain on the grid during peak demand times through optimization tools. Where Anthropic leases capacity from already-existing data centers, it says it is “exploring further ways to address our own workloads’ effects on prices.” The company adds that it supports federal policies that make it cheaper and quicker to bring new energy sources online. When asked if there was a limit to what Anthropic will cover, a spokesperson told Fast Company that its commitment extends to any “grid upgrades or development of new energy sources that would otherwise be passed onto ratepayersprovided that our data center causes these costs, and that they’re necessary to serve our data centers.” AI data centers are causing a natural gas surge Many companies are building new power sources to match their growing electricity needs. That can hike ratepayers’ bills because utilities can raise rates as a way to recover the costs of building the new power plants. But beyond that initial investment, the type of power generation that gets built also mattersfor both ratepayers bills and the planet. Primarily, data centers are leading to a surge in new natural gas power plants. For example, in order to power a massive data center for Facebook parent company Meta Platforms in Louisiana, the local utility company proposed building three new natural gas power plants. Meta isnt alone. Proposals for new natural gas plants in the United States tripled in 2025 compared to the year prior, according to Global Energy Monitor. The United States now has the most gas-fired power capacity in development (that includes projects that have been announced, are in pre-construction, and in construction), that nonprofit sayswith more than a third of that capacity slated to directly power data centers. Thats bad for the environment: While not as environmentally harmful as coal, natural gas still comes with a lot of CO2 and methane emissions, which warm the planet. Its also not necessarily great for ratepayers, because natural gas is a famously volatile commodity, as the World Resources Institute puts it. It’s vulnerable to huge price swings, and its frequently linked to rising electricity prices. In October 2025, natural gas prices were up 45% compared to the year prior, according to the U.S. Energy and Information Administration, and are expected to go up another 16% within the year. Renewables like wind and solar, on the other hand, are the cheapest source of new power generation. Can promises from Big Tech be enforced? In a July 2025 post, Anthropic said that it will accelerate geothermal, natural gas, and nuclear permitting, for AI data centers. But its not exactly clear how many natural gas plants are in the works to power Anthropic data centers, or if Anthropics promise to cover electricity hikes includes the price volatility of natural gas in new plants it brings onlinenot just the costs that come with recovering power plant construction expenses. Anthropics most recent announcement says it will work to bring net-new power generation online to match our data centers electricity needs. Where new generation isnt online, well work with utilities and external experts to estimate and cover demand-driven price effects from our data centers. When asked if it is specifically planning to build more natural gas capacity, if it has plans to add renewable power, and if price hikes from using more natural gas in the power generation Anthropic adds will also be covered, a spokesperson said the company doesn’t have “anything new to share at this time.” When asked if there’s a timeline to Anthropic’s commitment, the spokesperson said there is no end date, and the commitments apply to “any data centers we build in the U.S. “We have more to do, and well continue to share updates as this work develops,” the company added. Anthropic is not the only company that has said it would foot the power bills for its data ceners: Google, Microsoft, Meta, and others have made similar promises. But as CNN pointed out, companies have shared scant details on exactly how theyll carry out those plans, and theres not much in terms of regulation to enforce them, either. Big tech companies are finally beginning to acknowledge that their data centers are saddling consumers with higher electricity costs and straining our power grid but they still refuse to take full responsibility for these problems they are creating, Senator Chris Van Hollen of Maryland said in a statement to CNN. The statement was in response to letters that tech companies had sent to Senate Democrats regarding an investigation into how data centers are impacting electricity prices. Without action from Congress, he added, they will continue to evade accountability.
Category:
E-Commerce
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