Wellable Weekly

Google's WHOOP Killer, Tokenmaxxing, and the AI Metric Trap

In this week's episode, Nick and Geoff break down two headlines. First, they dig into the Fitbit Air, Google and Fitbit's new screenless wearable that's being called the Whoop killer. Then they tackle tokenmaxxing, the emerging workplace behavior of inflating AI usage to impress managers, and what Goodhart's Law tells us about tying performance metrics to AI usage.  Key Takeaways * The Fitbit Air mirrors Whoop's screenless form factor but doesn't require a paid subscription, offering a one-time purchase with an optional $10/month Google Gemini-powered health coaching upgrade and making it a potentially more accessible entry point for consumers and employers * The Fitbit Air's consistent design, lower price point, and no required subscription make it a stronger candidate for employer bulk purchasing than past devices like the Apple Watch * Consumer health products that gain mainstream buzz—like wearables did a decade ago—tend to eventually work their way into employee wellness program conversations, whether HR teams plan for it or not * AI-powered personal health coaching at the individual level raises a longer-term question: could hyper-personalized consumer devices eventually fragment the traditional employer wellness program model? * Tokenmaxxing—employees deliberately overusing AI tools to signal productivity rather than accomplish meaningful work—has emerged at Amazon and reflects a predictable response to ambiguous performance expectations around AI * Goodhart's Law applies directly to AI adoption: when token usage becomes the target metric, employees optimize for usage rather than outcomes, driving up costs without improving results * HR leaders designing AI performance frameworks now have an opportunity to anchor expectations to outcomes and treat AI usage as context, not the measure itself  https://youtu.be/v4xrW2FVEq4?si=7WOiBjObH85YBXr5

Addressing Employee Well-Being in an Era of Burnout and Uncertainty with Chase Sterling

In this week's episode, Geoff sits down with Chase Sterling, founder and executive director of Wellbeing Think Tank [https://www.wellbeingthinktank.org/], to explore what it truly takes to build a healthy workplace in today's environment. Chase brings over 20 years of workplace wellness expertise to a candid conversation about how organizations can build a healthy, resilient workplace even in uncertain times.  Key Takeaways * Wellbeing Think Tank started as a side passion project to break down silos in workplace wellness and has grown into a full-time nonprofit organization offering free events, evidence-based resources, memberships, and trainings * As AI reshapes the way we work, the organizations best positioned for the future are those treating it as a tool to automate tasks and reduce mental load, not a replacement for human connection and creativity * There's no such thing as survey fatigue. It's inaction fatigue; employees are eager to share feedback when they trust that their organization will listen and respond meaningfully * Organizations often invest in programs based on assumptions rather than actual employee needs, leading to well-intentioned but misaligned spending that frustrates both employers and employees * The healthiest workplaces focus on the fundamentals (making employees feel seen, heard, and valued) and let core mission, vision, and values genuinely guide policy and decision-making * Organizations that embrace the art of listening and have strong, healthy cultures can weather major disruption without major well-being declines

Workplace in Transition: The AI Investment

In this week’s episode, Nick and Geoff explore how companies are reallocating resources to fund AI projects and what that means for employees. From layoffs and voluntary buyouts to reductions in parental leave and other core benefits, they unpack the different strategies organizations are using to cut costs to fund token use, data centers, and other AI investments. The conversation also dives into how these shifts are influencing employee experience, talent retention, and even the growing popularity of health fairs as a way to communicate difficult benefits changes. Key Takeaways • Companies are shifting significant dollars toward AI investments, including infrastructure, compute, and tokens, which are affecting the balance between human and technological capital while forcing difficult trade-offs in workforce spending • Layoffs remain the most visible cost-cutting strategy, but organizations are also using quieter approaches like benefit reductions, return-to-office mandates, and voluntary buyouts to manage headcount • Zoom and Deloitte have made notable cuts to parental leave and other core benefits, signaling a broader trend of scaling back high-value employee perks introduced during the pandemic • Voluntary buyouts, like Microsoft’s program, may unintentionally push out top talent, since employees with the strongest external opportunities are often the most likely to opt in • The labor market has shifted in favor of employers, giving companies more leverage to make unpopular changes while expecting many employees to stay • Health fairs and similar engagement initiatives may be rising in popularity as organizations look for more positive, engaging ways to communicate benefit reductions

Rethinking Screenings, GLP-1s, and Smarter Health Decisions with Al Lewis

In this guest episode, Nick sits down with Al Lewis, founder of Quizzify and the Validation Institute, to challenge long-held assumptions about workplace wellness. From his dramatic reversal on health screenings to a deep dive into GLP-1 education strategies, Al shares candid insights on what works and what does not in employee health. The conversation explores how a new, low-cost screening technology could reshape population health strategies, why most wellness ROI claims fall short, and how employers can better manage the surge in demand for weight loss drugs. Key Takeaways * Al Lewis has reversed his stance on biometric screenings after investing in a new, non-invasive technology that delivers similar insights at a much lower cost and with greater accessibility * Traditional screenings often fail due to high costs, administrative burden, and false positives, making them inefficient at scale * Many wellness ROI claims should be viewed critically, as they often rely on self-reported outcomes and selective data that do not accurately reflect true behavior change or cost savings * GLP-1 drugs are growing in popularity, but high dropout rates highlight the need for better education and expectation setting * Educational content can help employers guide employees through GLP-1 decisions and improve long-term success

Digital Clones, Flat Orgs, and the Future of Hiring

In this week's episode, Nick and Geoff dig into Mark Zuckerberg's effort to build a digital clone of himself for Meta's 80,000 employees—and what it reveals about where management is really heading. They explore Jack Dorsey's bold prediction that middle management will effectively go extinct and why a week-long trial period during the hiring process might be the antidote to an application process flooded with AI-generated resumes and cover letters. Key Takeaways * Mark Zuckerberg is building an AI digital clone of himself so employees can interact with his thinking, strategies, and feedback at scale, raising questions about where AI-assisted leadership adds value and where it falls short * AI clones may excel at repeating and clarifying strategic communication but struggle to replicate the nuance, candor, and two-way iteration that make leadership conversations meaningful * Jack Dorsey predicted the extinction of middle management, with AI enabling manager-to-employee ratios that would have been unthinkable even five years ago * AI is transforming both sides of hiring: Employers use it to filter candidates, while job seekers use it to generate highly customized applications at scale, making the traditional resume process increasingly unreliable * Week-long trial periods are emerging as a compelling alternative to traditional interviews, giving both employers and candidates a more honest, real-world window into fit