But First, Coffee

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But First, Coffee is a live weekly talk show where Jackye Clayton and John Baldino bring candid, insightful conversations about the world of work, leadership, and all things people. Each episode blends expert insight with real-world experience—covering employee engagement, leadership, inclusion, technology, and culture. It's not just HR theory; it's HR reality, poured fresh each week.

  1. Oct 22

    AI Hype Meets HR Compliance Reality

    Jackye Clayton and John broadcast live from the HR Tech 2026 show floor at Mandalay Bay in Las Vegas, capturing the final day of the conference in real time, from PitchFest judging to hallway conversations about AI in HR. Key Takeaways: Agentic AI vendors are facing harder questions this year. Buyers want to know what problem the agent actually solves, not just that it exists. Several products demoed at PitchFest raised real compliance concerns, including tools proposing hiring practices or pay definitions that are not legally accurate. Organizations are uploading sensitive employee data, including medical records and compensation details, into AI agents without clear answers on where that data lives or who can access it. Employer of Record platforms paired with AI are lowering the barrier to hiring internationally, letting smaller companies expand into new countries without standing up their own legal entity. The narrative has shifted from predictions that AI will take everyone's job last year to AI supported teams this year, with some employers reintroducing human roles they had automated away. Embedded AI agents are starting to replace standalone workforce analytics tools, since an agent with full organizational access can already surface the same insights. Fifteen of the 33 PitchFest companies were pre revenue, and judges pressed founders on who their actual customer is and whether they have a paying pilot. Panelists cautioned against what they called AI psychosis, the pattern of inventing a problem just to justify an AI solution that was not actually needed. A growing number of international HR tech vendors are entering the US market, a sign of confidence in the space despite a shrinking overall workforce. The hosts raised a recurring question for HR leaders: does AI actually save time, or does it just create new work that nobody asked for. Keywords: HR Tech 2026, agentic AI, AI compliance, data privacy, pay equity, Employer of Record, global hiring, workforce analytics, PitchFest, AI in HR

    AI Hype Meets HR Compliance Reality

  2. Oct 8

    The Real Cost of Poor Communication

    John Baldino and Jackye Clayton dig into why so many workplace communication habits are quietly costing companies billions. Poor communication now drains more than two trillion dollars a year from US businesses, and knowledge workers say it spikes their stress and drags down how they feel about the job. John and Jackye unpack why tools like Slack and Teams were never built to carry the weight of a company's primary communication, how self implemented software rollouts skip the change management work that used to come standard, and why building real rapport, through something as small as sharing an old photo or a favorite childhood snack, still does more for team communication than any new tool. Key Takeaways: Chat tools like Slack and Teams were built for quick replies, not for carrying the weight of primary work communication, and many teams use them without any communication strategy at all. Software rollouts used to come with formal change management and training. Today most platforms are self implemented, with a few onboarding videos standing in for a real rollout plan. AI assistants that schedule or draft communication on someone's behalf can strip out the context and tone a human sender would normally include. Teams can build communication rapport through small, low stakes rituals, like sharing an old photo or asking what people drank with lunch in grade school, rather than forcing deep personal sharing. Knowing whether someone reads deeply into messages or takes things at face value changes how a leader should frame a request to avoid causing unnecessary friction. New employees, especially those early in their careers, were often never taught how to communicate in a professional setting, so leaders should not assume this is a skill people already have. Incentive based motivation does not work the same way for everyone. Leaders need to learn what actually motivates each person through real rapport, not guesswork. Keeping cameras on during remote meetings preserves facial expression and body language cues that get lost when a team defaults to chat only communication. Shared low stakes experiences, like being part of a company softball team, build the kind of trust that makes it easier to rally a team around real work later. Belonging and inclusion depend on teams actually taking time to get to know each other, and cutting that time out removes the foundation healthy communication is built on. Keywords: workplace communication, team rapport, remote work, Slack communication, change management, employee onboarding, cameras on meetings, communication style, team building, workplace culture

    The Real Cost of Poor Communication

  3. Oct 1

    Why AI Recruiting Tools Lose Candidate Trust

    Jackye Clayton and John Baldino dig into why candidates are losing faith in AI driven hiring. From applicant tracking systems that reject resumes on a literal keyword match to AI interviewers that mishandle a candidate's name, they walk through where automation in recruiting is helping and where it is quietly eroding trust on both sides of the table. Key Takeaways: ATS tools often reject candidates on a literal skills match without understanding the context behind where or how a skill was actually used. Treating an AI recruiting system like a new hire, by training it, correcting it, and feeding it context, is the only way to keep it from making decisions on its own. Automating first round screens and interviews removes the practice reps that help new recruiters learn how to actually evaluate a candidate. Skills based hiring software reduces people to a flat yes or no match against a preprogrammed inventory instead of assessing real competency. Candidates notice when they have gone through an entirely automated process, and that experience builds skepticism before they ever reach a human interviewer. There is a credibility gap when a company restricts employees from using AI tools internally while running candidates through an AI heavy hiring process. Current AI struggles to tell the difference between a candidate with two years of experience and one with twenty, because it evaluates a job description two dimensionally rather than contextually. Hiring an overqualified candidate to compensate for an existing team's skill gaps creates the same kind of organizational blind spot that bad AI screening does. Hands on, in person evaluation, like a trial cook session for a chef role, still reveals things a resume match or automated assessment cannot. Recruiting leaders, not hiring managers alone, should own how job requirements get written, since poorly scoped criteria are what gets fed into the automated systems in the first place. Keywords: AI recruiting, robot recruiter, applicant tracking system, skills based hiring, candidate trust, talent acquisition, HR technology, recruiter training, hiring bias, AI interview

    Why AI Recruiting Tools Lose Candidate Trust

  4. Sep 24

    Candidate Fraud Meets AI Hiring Tools

    Live from the RecFest USA 2026 show floor in Nashville, Jackye Clayton and John Baldino cover the rise of candidate fraud, the limits of AI interviewing, and why relationships still drive talent acquisition, all while touring the loudest vendor booths on site. Key Takeaways: Candidate fraud is accelerating, and vendors are building dedicated fraud detection directly into applicant tracking systems Employers report a wave of fake remote job applicants, including schemes tied to North Korea, targeting US and European companies AI interview bots still struggle with basic nuance, tone, and even correctly hearing a candidate's own name As AI takes on more sourcing and screening, the industry is debating what unique value human recruiters still bring Buyers want fraud and AI tools embedded into their existing applicant tracking system rather than a new standalone platform RecFest exhibitors are spending heavily on custom activations, from a basketball setup to a mechanical bull, to stand out on a crowded 2,000 person floor New silent session panels let multiple stages run at once, with attendees listening on headphones instead of speakers An informal poll found a large share of RecFest USA 2026 attendees were first timers to the event Recruiters suggest feeding an event's sponsor and exhibitor list into an AI tool to quickly map which vendors solve which problems Relationship building and shared humor among industry peers remain an undervalued part of what conferences deliver Keywords: candidate fraud, AI hiring, talent acquisition, applicant tracking system, HR technology, RecFest USA, recruiting conferences, AI interviews, remote work fraud, recruiter relationships

    Candidate Fraud Meets AI Hiring Tools

  5. Sep 17

    Why Workers Are Turning Down Leadership Roles

    This episode explores why so many capable employees are turning down promotions into management and what organizations can do to make leadership worth wanting again. John Baldino and Jackye Clayton discuss changing definitions of success, the burnout and vagueness that surround leadership roles, and how family businesses, nonprofits, and corporate teams can build the next generation of leaders. They also cover intrinsic motivation, using AI without giving up independent thinking, and giving people room to learn and fail. Key Takeaways: The definition of career success has shifted from holding a manager, director, or vice president title to having real impact and helping shape culture Traditional leadership pathways have not been made attractive, and many employees who are voluntold into extra work see burnout built into the plan Employees often ask for higher pay while declining more responsibility, especially when the mission is unclear and the vision has changed repeatedly Workers who push for full autonomy still expect defined pay ranges and structure, a contradiction leaders need to name honestly Aggressive sales onboarding, with a short ramp and a quota several times the predecessor's, helps explain why salespeople change jobs every year and a half to two years Leadership recruiting struggles reach beyond corporations into nonprofits and volunteer groups, including local professional chapters, service clubs, and civic organizations Leaders can stay open to fresh ideas while keeping boundaries, and should brainstorm freely but test each idea for time, people, and resources before activating it Many heirs to family businesses decline to take over because they expect a founder to keep hovering, so owners should define exactly what they fear will be ruined Growth stories like a regional furniture retailer that started as a waterbed shop show that companies evolve when they stop asking yesterday's leadership model to solve tomorrow's problems Hiring leaders means assessing capability and potential, not just past titles, since tenure alone does not prove experience and persona work speeds up the search Keywords: leadership pipeline, management promotion, employee motivation, burnout, career success, family business succession, talent acquisition, leadership development, generational differences, workplace culture

    Why Workers Are Turning Down Leadership Roles

  6. Sep 10

    How AI Skews Hiring And Firing Decisions

    This episode unpacks why so many organizations are laying off and hiring at the same time, and what that mismatch signals about how work gets defined, evaluated, and communicated inside companies. John Baldino and Jackye Clayton connect the dots between vague job descriptions, subjective performance reviews, and the trust gap candidates now bring to every new opportunity. Key Takeaways: Companies are conducting layoffs and active hiring simultaneously, often for similar roles at a lower pay level, not purely because of AI or market shifts The "Verizon method" describes a cycle of laying off a group, then rehiring for similar duties under a different title and lower cost tier weeks later Job descriptions have become a lost art, rarely reviewed or checked against what employees are actually doing day to day Forced ranking systems that target a bottom percentage push managers to game scores to protect favored employees, undermining the whole review process Performance conversations should never surprise an employee; if the feedback is new, that is a failure of ongoing management, not the review itself A lack of transparency about the why behind restructuring erodes trust with both current employees and prospective candidates Candidates and passive job seekers are increasingly declining opportunities at companies with recent layoff headlines because they cannot trust six months of job security Rescinded offer letters are becoming more common for candidates already displaced by a prior layoff, compounding financial and emotional strain Outsourcing decisions often lack clarity on which specific duties and responsibilities are actually meant to move outside the organization HR needs a seat at the table before major structural or strategic pivots so workforce impact is considered up front, not after the fact Keywords: layoffs, hiring, job descriptions, performance reviews, workforce planning, employee trust, HR strategy, restructuring, outsourcing, AI in hiring

    How AI Skews Hiring And Firing Decisions

  7. Sep 3

    Bringing HR Into AI Decision-Making

    HR practitioners dig into why AI rollouts fail when HR isn't part of the decision from day one, covering performance review bias, employer brand monitoring, and how to build cross functional guardrails with IT and marketing. Key Takeaways: AI is already shaping performance reviews, pay decisions, and employer brand monitoring, often without HR at the table AI answer engines are becoming a real business development channel; one sales lead came directly from someone asking ChatGPT for outsourced HR providers Vague prompts introduce bias. Feeding AI a detail like an employee being late twice a week can skew the output toward a negative review Organizations should standardize and disclose the prompts used for performance evaluations so reviews stay fair and comparable across teams Employees are already using AI to draft their own self-evaluations and build a case for compensation increases, so leaders need to anticipate that Recording meetings or communications for AI analysis must be disclosed to employees in advance Companies need secure, internal AI environments so employees aren't exposing personally identifying information to public tools Two extremes create risk: HR owning full responsibility for AI policy alone, or HR being excluded entirely and only receiving IT's decisions after the fact HR lost leverage after the pandemic by not building on the visibility it earned, then got sidelined again during return to office decisions Smaller organizations without a CHRO can bring in fractional HR leadership to help translate AI policy conversations for executive teams Keywords: HR and AI, AI policy, performance review bias, AI in HR, talent acquisition AI, employer brand, answer engine optimization, HR seat at the table, fractional HR, AI transparency

    Bringing HR Into AI Decision-Making

  8. Aug 27

    Where Pay Equity Audits Actually Fail

    Pay transparency laws expose more than salary ranges; they reveal whether an organization's compensation system can survive an audit. This episode unpacks where HR teams get pay equity wrong, from too many job cohorts to AI tools trained on incomplete data, and why age, not gender or race, has become the widest pay gap most companies aren't tracking. Key Takeaways: Multi factor regression analysis, not a simple range comparison, is the only credible way to test for pay equity across race, gender, ethnicity, age and other protected classes. Auditors treat an unusually high number of job cohorts as a red flag; too many cohorts for a workforce's size often signals an attempt to hide pay disparities. Age has overtaken gender and race as the largest driver of pay inequity, largely because loyalty and tenure no longer keep pace with what new hires are paid. Job architecture disputes between HR and department leaders over what counts as a distinct role or skill set directly affect whether pay differences can be justified. Retitling someone from one engineering level to another, instead of promoting them into management, is a common way pay gaps get quietly created. Unpaid extra labor, like planning office events, falls disproportionately on certain employees and is never reflected in job descriptions or compensation. Using AI tools such as ChatGPT to run pay equity analytics without feeding in a complete set of protected class variables produces an audit an organization cannot defend. Compliance liability under pay transparency laws can extend to individuals personally, not just the organization, when data is withheld or manipulated. Compliance requirements vary significantly by state and country; leaving a jurisdiction because it has strict laws is rarely realistic once talent, clients and infrastructure are factored in. HR is frequently left out of enterprise conversations about compliance and AI, even though the data being analyzed is fundamentally about how people are treated. Keywords: pay transparency, pay equity, compensation compliance, regression analytics, job architecture, age discrimination, pay equity audit, HR compliance, AI in HR, compensation strategy

    Where Pay Equity Audits Actually Fail
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About

But First, Coffee is a live weekly talk show where Jackye Clayton and John Baldino bring candid, insightful conversations about the world of work, leadership, and all things people. Each episode blends expert insight with real-world experience—covering employee engagement, leadership, inclusion, technology, and culture. It's not just HR theory; it's HR reality, poured fresh each week.

Information

  • Channel
    WRKdefined
  • Creator
    WRKdefined Podcast Network
  • Years Active
    2026
  • Episodes
    58
  • Rating
    Explicit
  • Copyright
    © All rights reserved by WRKdefined
  • Show Website
    But First, Coffee

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