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President Trump just signed an executive order attempting to block states from regulating AI an unprecedented step that would strip states of the ability to protect their residents at a moment of extraordinary technological volatility. This move is overwhelmingly unpopular (polling has found that Americans oppose AI moratoriums by a 3-1 margin), and certain to be litigated in the courts. But it is also likely to achieve the exact opposite of its stated goalsdeepening mistrust and slowing AI adoption at a time when America wants to win the global AI race. We know because weve been here before. America has seeded many technological revolutions over the years, from electricity to automation to the internet. And in each of them we see a clear pattern: State-led regulation doesnt slow growth. It spurs it. If President Trump sincerely wants America to lead in the AI race, he should look to our nations past. Technologies that defined American leadership became safer, more trusted, and more widely adopted because states helped set guardrailsnot because Washington preempted them. Regulation paves the way When Henry Ford introduced the Model T in 1908, carmakers prioritized speed and sales over safety. Predictably, fatalities soaredover 33 deaths per 10,000 vehicles in 1913, compared to just 1.6 per 10,000 today. But then commonsense regulation met the moment: California launched its DMV, which became the mechanism for identifying and tracking both cars and drivers (1915), Massachusetts required auto insurance (1927), and by the mid-1930s, 24 states mandated drivers licenses. These rules did not deter innovation; they made it safer and more sustainable. Innovations like seat belts (1949) and airbags (standardized in the late 1980s), and taillights (by the 1930s, two taillights became standard in the United States) dramatically reduced fatalities, catalyzing safer, more trusted, and universally-used automotive technology. And in fact, the American auto industry flourished. By 1950, U.S. automakers produced more than three-quarters of all cars in the world, and General Motors remained the worlds largest automaker from 1931 to 2008. Safe, reliable cars didnt just replace existing modes of transportation, they made new things possible: lower-cost interstate trucking, suburbs, mobile economies, and a booming manufacturing revolution. Clear rules of the road applied to anyone who sold a car in the U.S., whether made at home or in Europe, Asia, or elsewhere. In short, automakers dominated from Detroit to overseas markets because regulation provided predictability for investors, confidence for consumers, and pressure for safer, smarter innovation. Now, the frontier is digital Weve experienced over 50 years of disruption and advancement in digital technology, yet foundational guardrails remain almost entirely absent. In this vacuum, tech companies have optimized for max engagement, not ethicsfueling a youth mental health crisis and dramatically eroding our information ecosystem by prioritizing conflict over truth. Startups, wary of reputational and legal risks, and deep-pocketed incumbents like Meta, are retreating into safer B2B offerings instead of consumer-facing breakthroughs. Investors are navigating uncertainty, making bets on products that could be banned or devalued dramatically overnight at the mercy of an individual judges ruling who may know little about technology. As we accelerate into the AI era at warp speed, we are doing so with a set of digital-era guardrails that are outdated, piecemeal, and in most cases, nonexistent by design. Where were going, we still need roads Just as automobile regulations guided innovation toward safety and scale, AI needs a parallel set of protections. Cars have mandatory seat belts and airbags; AI systems should have safety standards and harm-mitigation features. Cars have child car seat tethers and safety locks; AI should include comparable safeguards for vulnerable users. Just as vehicles must undergo crash tests, major AI models should be subject to basic auditing before deployment. And just as cars require insurance to manage and price risk, AI liability should be clarified, distributed, and broadly understood. Just as critical, state-level leadership should be welcomed and followed. Local experimentation builds the practical frameworks that federal law can later scale, and is as essential now as it was in the 1920s. And the market itself is already signaling the need for this transparency. As Anthropic president Daneila Amodei recently put it, No one says, We want a less safe product. He likened the companys disclosure of model failures to an automaker releasing footage of a crash-test dummy flying through a windshield. The visual is jarringbut when the result is better airbags and stronger frames, consumers trust the car more, not less. That dynamic builds markets and confidence and it makes innovation self-reinforcing. The choice is not between growth and guardrails. Its whether America will lead on AI and govern with the predictability and clarity that fuels investment, trust, and adoptionor whether we will gamble on laissez-faire promises that history tells us never deliver. If our goal is truly pro-growth AI, then state-led, commonsense regulation is not a roadblock. Its the on-ramp.
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E-Commerce
In recent years, organizations have launched neurodiversity and mental health initiatives with the best of intentions: to raise awareness, launch employee resource groups, and create a culture where team members embrace diverse neurotypes and learn to coexist in an ecosystem. Yet, neurodivergent employees still tell me the same thing: they feel misunderstood as they navigate masking, burnout, and eventually leave organizations that genuinely believe theyve done their best. So, whats missing? The gap isnt in policy or processits in our understanding of the emotional landscape inside the neurodivergent experience. Leaders may recognize ADHD or autism as concepts, but not the human realities beneath those labels. Yes, we need workplace adjustments. But emotional accessibility, understanding how neurodivergents make sense of themselves, their late diagnoses, and their internal worlds, is what creates psychological safety. True retention requires leadership that can speak the emotional language neurodivergents actually use. But what does that sound like when you put it into action? Were working in an identity economy Work is no longer just where we earn a living. Its where we look for meaning, compatibility, and emotional belonging. With rising adult ADHD and autism diagnoses, especially in among women aged 2349, many are reassessing who they are and where they fit. Neurodivergents are gaining a more accurate understanding of how their brains and nervous systems work, what supports their well-being, and how their backgrounds shape their behavior and stress responses. And their lived experiences are shaped by unique intersections of neurotype, culture, gender conditioning, trauma history, sensory thresholds, communication style, and current life demands. As neurodivergents gain emotional literacy about their inner world, they are also more sensitive to misattunement, and leaders who lack the nuance of neurodiverse experiences struggle to fully relate or to bring out their team members strengths. Emotional literacy is the missing link in neurodiversity strategy Many assume emotional literacy means naming emotions or staying calm. For neurodivergent people, its far more complex. Emotions often show up physically first: a tight chest during sensory overload, a blank mind when asked, What do you think? frustration triggered by emotionally charged discussions, shutdown after too many back-to-back meetings, or restlessness mistaken for anxiety. These are emotional cues that can inform, but in workplaces that havent learned to recognize them, they may be missed. Neurodivergent responses are tied to the nervous system. A fight response may be interpreted as a strong reaction, combative, or defensiveness. Flight shows up as withdrawing from contribution or needing space. Freeze tends to show up as going quiet or not being able to name thoughts or emotions. And fawn appears as people-pleasing, not necessarily agreement. Without emotional literacy, these cues get misinterpreted. When leaders understand these adaptive responses, they can support and connect, instead of correct. The double empathy problem still drives workplace conflict Misunderstandings between neurodivergent and neurotypical colleagues rarely stem from a lack of empathy. They may come from different ways of communicating, interpreting tone, or sensing threat. A manager for instance, may read directness or lack of eye contact as rudeness, when in reality its a neurodivergent colleague unmasking so they can think clearly. A neurodivergent employee might interpret vague feedback as rejection, while the manager hasnt given it much thought. A leader may perceive intensity as aggression, when the employee is simply overwhelmed. And, in an open-plan office, a colleague raising their voice at another colleague, not out of hostility but because theyre reaching meltdown, which is then followed by shame later. Emotional literacy bridges these gaps before they escalate into conflict or disciplinary action, which, if were honest, is so condescending when applied to a fully grown adult. Cultural intelligence (CQ) matters more than ever Emotional literacy without cultural literacy is incomplete. Our stress responses, boundary styles, and communication rhythms are shaped by culture as much as neurotype. A British-Asian woman may internalize distress, because it was normalized in her culture to tolerate and keep going. A Black autistic colleague may mask to avoid stereotype threat that theyve been preconditioned to expect. The future of leadership requires the ability to read across identities and not treat neurodiversity as a single story. So, what does emotional accessibility look like in practice? Here are shifts that transform workplaces more than any awareness campaign: 1. Respond to nervous systems, not behaviorWhen we can see a stress response, what information can we derive from this, and how can we best support a neurodivergent employee? 2. Reduce cognitive loadProvide agendas early, enable longer processing time, and avoid rapid changeover to give the brain time to switch gear. 3. Normalize setting boundariesSo others feel safe to do the same, model phrases like:Lets slow this downI need a momentIll come back to you on this 4. Respect sensory needsNoise, lighting, heat, pace, and unpredictability all shape neurodivergent employees well-being and performance. 5. Read early signs of burnoutNotice when team members withdraw, go quiet, are slower with their responses, or increase masking, as these are signs of misalignment, long before they collapse. 6. Make emotional literacy a core leadership skillUnderstanding the emotional language of the nervous system is the prerequisite to building safe relationships. This isnt soft, it is aligned with the reality of todays workforce. The real future of inclusion is relational To support neurodivergent employees, organizations must move beyond awareness toward something deeper and more human: the ability to read, respect, and respond to the emotional and sensory realities of the people they lead. Emotional literacy creates teams where neurodivergent employees dont have to pretend to feel safe, they genuinely experience it. It creates workplaces where difference becomes a source of insight, because prioritising emotional accessibility benefits every mind. Thats the shift that liberates people and transforms cultures.
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E-Commerce
As we count down to the last days of the year, we are looking ahead to what may be one of the next big work trends of 2026: shift sulking. Read on to find out what it is, and what to know about it heading into the new year. What is shift sulking? “Shift sulking is the moment when hourly workers arrive already depleted because the conditions surrounding their workunpredictable schedules, inconsistent hours, and rising demandsare simply unsustainable,” says Silvija Martincevic, CEO of Deputy, a workforce management platform for hourly workers. “Because millions of shifts run through our platform every week, Deputy sees this deep-seated strain in the data well before it makes headlines,” Martincevic adds. According to Martincevic, if you look closely the next time youre at the grocery store, coffee shop, hospital, or convenience store, youll see it. And it’s not hard to spot: workers stretched thin, managing difficult customers and understaffed teams. The difference between a worker who feels supported and one whos simply trying to get through the day is written on their face, she says. What, if anything, does this tell us about the current state of the economy? “[At a time when] 31% of U.S. workers report feeling detached, ‘shift sulking’ is a clear reminder that the strength of our economy is inseparable from the stability of the shift worker,” says Martincevic. “Thats not simply a retention challenge. Its a productivity challenge that limits our collective potential.” According to data from Deputy, in states where stable scheduling is the norm, frontline worker happiness reaches 98%, compared to just 60% where it’s unpredictable. And companies should be paying attention to this data, as studies show engaged workers perform better. Why shift sulking may be one of the big workplace trends of 2026 In today’s 24/7 gig economy, more Americans are doing shift work and taking on multiple jobs, or so-called poly-employment, to make ends meet as they grapple with rising costs and higher inflation. “We dont see shift sulking as a temporary issue; its the human cost of deeper structural friction in todays labor marketand all indicators point to it intensifying in 2026,” Martincevic says. “Businesses are operating leaner, asking teams to deliver the same output despite tighter staffing and volatile demand. That pressure falls squarely on the frontline.” According to Deputy’s Better Together report, while AI can automate tasks and improve visibility, technology alone wont solve the problemthat demands structural change that gives workers what they want: predictable schedules, balanced workloads, and transparent communication.
Category:
E-Commerce
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