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Feature BY Emily McCrary-Ruiz-Esparza | July 01, 2026

Can AI Teach Workers to Be More Human?

It started as an experiment. A little over a year ago, the chief talent and development officer at pharmaceutical firm Novartis ran a pilot. Paula Landmann, who’s responsible for making sure the company has the skills it needs, wanted to know: Can we use AI for the personal development of our workforce?Employees already had access to internal coaches, but humans are limited by time, and so it could be weeks before a coaching session was available. They also had access to tools like Copilot and ChatGPT, which they could consult about any number of things. But what if they put some real power behind it? If Novartis could roll out an AI-powered coaching program specifically designed to interact with employees the way a personal coach might, could the workforce actually develop itself?Apparently, the answer is yes. Last October, Novartis rolled out its AI coaching platform, called Mira. Unlike traditional coaching programs, which are provided only to high-ranking managers and those headed for the C-suite, every employee at Novartis, at every level, has access to Mira—whenever they need it. Less than a year later, 14,000 employees, or just over 18% of Novartis’s workforce, are using the tool, which remains optional, and many of them keep coming back. They’re getting better at making decisions, talking to one another, and working together.Novartis is hardly alone. Customer-experience platform Qualfon developed its own AI-powered roleplay simulator to help employees improve communication, and media company Scripps licensed an AI coach that gives feedback to reporters on drafts and sourcing. Twenty percent of the newsroom employees use it daily, said senior L&D director Ginger Summers during a From Day One webinar. Those employees now use the tool one to two hours per day, saving roughly 20 minutes of work each time.These are what might be considered uniquely “human” skills, like critical thinking, communication, cooperation, collaboration, and conflict resolution—things typically developed only through interaction among humans.The interpersonal friction that begets these skills can, in theory, cost a business time and money, so companies are looking at AI and wondering if it would be faster, possibly even more effective, to develop those same skills with AI. The promise is great: AI could effectively furnish each employee with a personal coach whose sole focus is that employee’s development. But are these skills, when developed in collaboration with AI, as strong as they could be? And what’s lost when the experience with humans is removed from human skills?A Closer Look at AI-Powered Skill DevelopmentTo answer those questions, AI for skill development is being heavily studied by academics and by the companies building the technology. Consulting firm BCG put its own program to the test, placing human trainers (in virtual classrooms) head to head with virtual AI coaches and found that “the gen AI tutor delivered results that were on par with the classroom session, but with significant improvements in terms of personalization and efficiency.” And not only did the BCG researchers favor AI, learners themselves said the AI was better than humans at supplying personalized notes. BCG lauds AI’s ability to tailor the learning based on individual work context in a way a human just can’t.AI can be more succinct than humans, making for time savings, and it can also make learners less fearful of making mistakes. It’s far less embarrassing to fumble in front of a bot than a person, especially if you might sit in a meeting with them later. Landmann of Novartis said employees were “very loud and clear” about this advantage. “AI doesn’t judge me,” they told her.Paula Landmann, chief talent and development officer at Novartis (company photo)Employees at Novartis also prefer the AI coach to human coaches for their availability. While the company does make human coaches available, their time is limited. So if your coach isn’t available for another month, but your difficult conversation happens tomorrow—Mira can offer help right away. And users can practice in their preferred style: via keyboard, like an instant messenger, or via voice, like a phone call. Employees can start with a theme, take a personality assessment, engage in role play, or simply jump into conversation about their problem—these coaches don’t need time to prepare. They’re always on and always ready to go.Still, some skeptics are sounding the alarm, or at least seriously questioning the hype over using AI to train people to do people things. Constance Noonan Hadley and Sarah L. Wright, both academic researchers, posit that overuse can cause social skills to atrophy by making it easier to choose relatively frictionless AI interactions over humans that might push back or simply make us uncomfortable. “Talking with an always reachable, sycophantic AI chatbot can be more appealing than conversing with real people,” they write in Harvard Business Review. And “by removing the need to go to colleagues for help, AI can undermine opportunities to build trust.” They recommend that “coaching, mentoring, conflict resolution, and team building remain primarily human functions and be conducted in person to build relationships.” In other words, leave the human skills to the humans. “The friction, the back-and-forth, even the occasional miscommunication—these aren’t bugs in the system, they’re features,” writes HBR editor Amy Gallo. And the less interaction we have with our colleagues, the lonelier and more socially isolated we can become.The Sycophancy TrapZoë Wigan, a former employment attorney and current head of the resolutions team at consultancy Byrne Dean, worries that AI is making it too easy to escalate problems that are better dealt with face-to-ace. One sign is the number of grievance letters HR leaders receive.  She told From Day One that grievances—that is, formal letters of complaint that an employee submits regarding a colleague or manager—are overwhelming people teams. “Almost every time I have coffee with someone in HR and you say, ‘What’s keeping you busy?,’ almost everybody says ‘AI grievances.’”This may be the result of AI sycophancy. Someone who suspects their manager is being unfair will almost certainly hear that reinforced by an AI coach. And it might even push them along, offering to write up a grievance letter then and there. Qualms escalate to the level of formal grievances more quickly than they otherwise would have—qualms that, in another time, may have been handled without HR at all.Landmann was concerned about this from the start. “I always worry that AI can be very nice to us, very soft,” she said. “It wants to please us constantly, right?” But a good coach doesn’t do that. When testing tools for Novartis, she was keen on finding one low on sycophancy and willing to challenge users both during the coaching session and after the fact, following up to find out how it all played out.Managers in a PinchWhen Coinbase CEO Brian Armstrong announced that the company would be laying off 14% of its staff, he noted that there would be “no pure managers,” and anyone who remained must be “a strong and active individual contributor,” and managers everywhere cradled their heads in their hands.People managers are under tremendous stress, being asked to take on more responsibility, which lately includes rolling out AI tools, if not finding use cases to begin with. Many are handed AI and told to use it, but they’re often not told what to use it on. The time-consuming act of coaching employees seems as good a use as any.Given the pressures, they can hardly be blamed for what some are calling overuse. “I think most organizations are probably sleepwalking into just how complex it’s becoming for managers,” said Byrne Dean’s CEO Nick McClelland. “Work has just got more complex, and AI itself actually increases the complexity in terms of managing people.” He told From Day One that he expects to see a significant increase in the number of difficult conversations managers are asked to have—“with their team, with peers, with senior members of teams because of the complexity of work”—and AI can be a huge help.AI has and will always win when it comes to scalability. While no organization can afford a personal coach for each employee, it probably can afford universal AI licenses. Byrne Dean, which will still continue offering its traditional classroom training sessions on difficult conversations, is launching its own AI-powered conversation tool, currently in its beta stage.McClelland explained that this could be the tip of the spear for HR, which “is seen as a cost center as opposed to a profit generator.” Difficult conversations are all too easy to avoid, or at least postpone, to the extent that the company suffers from poor performance, infighting, just the clog of team politics. “HR can start to flip the narrative,” McClelland said. When AI affords ample opportunity for practice and preparation, “being able to have that conversation and rehearse ahead of time feels like a really natural business gain.”But Landmann sees it differently. The Mira platform isn’t actually saving Novartis any money. On the contrary. “It’s an investment in people,” she explained. “The biggest business case is the growth and development of our people.” This is a long play, she said, and it has already been worth it. Emily McCrary-Ruiz-Esparza is an independent journalist and From Day One contributing editor who writes about business and the world of work. Her work has appeared in the Economist, the BBC, The Washington Post, Inc., and Business Insider, among others. She is the recipient of a Virginia Press Association award for business and financial journalism. She is the host of How to Be Anything, the podcast about people with unusual jobs.(Featured photo by Style-Photography/iStock by Getty Images)

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Live Conference Recap BY Grace Turney | June 29, 2026

Future-Proofing HR in the Age of AI

Julia Johnson marked her second day on the job at Cognizant with a history lesson. As the company’s new SVP, global talent management leader, she reminded the room that IBM, which spent 115 years building one of the world’s most recognized brands, was once called Computing, Tabulating and Recording Company. The rebranding happened in 1924. The lesson? What we call things matters, and the names we give new technologies shape how we use them.“If we had a time machine,” Johnson said, “we would rename it augmented intelligence, because it really requires having a human complete it—not being a rubber stamp,” Johnson said during an executive panel discussion at From Day One’s Manhattan conference. Moderator Lydia Dishman, SVP of content strategy, narrative and thought leadership at Method Communications, opened by citing a striking data point: 88% of HR leaders say their organizations have not yet realized significant business value from AI tools, according to a recent survey. The question the panel had gathered to answer wasn’t whether AI would transform work, it’s already doing that, but how to move from experimentation to real transformation while keeping the human part of work intact.Job Elimination Is the Wrong FrameThe most persistent misconception about AI, panelists agreed, is the idea that it eliminates jobs wholesale.“AI is really, really good at doing certain tasks,” said Scott Turner, partner at Mercer, who previously built agentic AI systems at Disney. “A job is a whole stack of tasks. Replacing a job is a human decision. If all those tasks in a job can be easily replaced by AI, perhaps you didn’t design that great a job for the human in the first place.”Owen O’Neill, executive director of HR technology and operations at Regeneron Pharmaceuticals, pushed back on the broader pressure and market noise around AI: “Everybody needs to do what’s right for the culture and readiness of your organization, at the pace that works for you” he said.The flip side of that caution is not ignoring AI’s genuine implications. “What I cringe at is when people talk to their employees like, ‘Oh, this isn’t going to have an impact at all,’” Turner said. “That’s just disingenuous. It’s going to have an impact. Let’s try to do this thoughtfully.”Transformation Begins With the Right QuestionWhen organizations approach Mercer wanting to deploy AI in HR, Turner says the first question he asks is deceptively simple: What are you trying to improve? That question is the antidote to FOMO-driven adoption—the tendency to implement AI because competitors are doing it, or because a vendor has a compelling pitch. The most successful AI transformations he’s seen share a common trait: they identify specific, high-frequency workflows, redesign them around what AI does well, measure the results against clear KPIs, and keep humans meaningfully in the loop.Johnson echoed this, pointing to one of IBM’s earliest high-impact use cases. Employment verification letters, the kind a senior manager needs urgently when closing on a home, used to require up to two days of back-and-forth. Now they’re generated in any country, in about 30 seconds, around the clock, which made a significant difference for employees. “Be pragmatic, have the use case, look at the ROI, embrace what will be used,” she said about the experience in her former role. O’Neill put it plainly: “Tell me what your HR priorities are and what your strategy is, and I will tell you what our AI roadmap is to enable that. Start with what those priorities are, not the technology.”Panelists shared their perspectives and best practices on the topic, "Future-Proofing HR With AI: How to Lead, Adapt, and Keep the Human Touch in a Tech-Driven Era"Efficiency gains are real, but panelists were candid about areas where the business case doesn’t always hold up under scrutiny.Resume screening is one. O’Neill noted that Regeneron could received 1000’s of applications for a single role, making AI-assisted screening appear essential. But he was quick to identify the risk: “How we’ve hired in the past doesn’t necessarily reflect how we want to hire in the future. A good hire two years ago is not necessarily a good hire two years from now.”Performance management is another. AI can remove some bias, consolidate feedback, and save managers time, but, O’Neill says, that misses an important point. “Performance management can be seen as a social contract between an employee and a manager. Automating that risks dehumanizing it. It’s about the conversation, not the document.”The Talent Pipeline Problem No One Is SolvingDishman raised a concern that has received less attention than job elimination at the entry level: what happens to the pipeline that feeds middle management when the entry-level roles that have historically developed that talent disappear?Paul Tiesler, SVP of talent development and learning strategy at Moody’s Corporation, offered a structural answer. The traditional pyramid-shaped org chart, he says, may need to become an hourglass. Under that model, entry-level employees sit alongside AI, learning from it and compressing their career timelines. Middle managers are elevated into more senior-level thinking as AI handles the processes that currently bog them down. The people organizations hire at both levels share a trait: strong judgment, discernment, and critical thinking, skills AI cannot replicate.“You’re going to be hiring for exactly the same thing,” Tiesler said, “more so than technical skills, especially as AI is able to automate some of those technical skills.” Moody’s has already seen this play out within software and product development. “We sat down with them and said, ‘How can we make AI do this better for you,’” Tiesler said of its middle managers, “and they’ve been able to elevate their role, and juniors on their team are now getting to do more interesting work.”Putting the Human In the Loop—IntentionallyBill Beegle, senior global business solutions architect at Degreed, offered a different model for how AI can augment rather than automate: scenario-based role play. Degreed uses AI to help employees practice high-stakes conversations, difficult performance reviews, sensitive feedback, the transition from peer to manager, in a low-risk environment where they can make mistakes and receive structured feedback.“Unlike automating a process, this is putting it like a flight simulator,” Beegle said. “You get to try, you get to practice, you can make as many mistakes as you want. You’re not really going to crash a plane, you’re just talking to AI.”The use case has found particular traction in regulated industries like biopharma, where the wrong word in a conversation with a physician carries real consequences. And it represents something the panel returned to repeatedly: using AI not to remove the human, but to make the human better at the distinctly human parts of their job.Johnson crystallized the logic: “What are humans no good at? Finding needles in haystacks. What does LLM do really well? They find needles in haystacks, or find trends. Look at what the human is good at and amplify that.”Building Trust in Times of ChangeThe panel converged on change management as the most underrated element of AI adoption. Tiesler was direct about what doesn't work: “Edicts from down on high don’t work. Arbitrary ‘we’ve got to cut X percentage of headcount, we have to automate Y number of processes’ – that doesn’t really work.”What does work, panelists agreed, is co-creation with employees – sitting down with business teams, mapping their actual processes, and identifying genuine opportunities for relief. Transparency matters too. Johnson described the framework she used at IBM: “We’re going to tell you what we are doing, why we are doing it, when we’re doing it, and how it will impact you. It’s not hard, but it’s so often overlooked.”Beegle pointed to one practical lever organizations underuse: making skills transparent. When employees can see how their skills map to other internal roles and what would help them get there, the internal mobility conversation stops being abstract. “It’s a really important part, so people understand that it can benefit them.”Closing the session, Dishman asked the panel directly: can leading with AI and keeping the human touch actually coexist? Every panelist said yes, with conditions.Turner returned to the limits of what AI can actually do. Its model of truth is built entirely on language. “It has no concept that this is actually a chair and I’m touching it.” That gap between what AI can know and what humans embody through experience is permanent, and it’s where design comes in. “We are going to have a completely different set of knowledge than the LLM can ever have,” Turner said. “It’s about trying to find that balance of where it can be applied safely.”O’Neill said on a closing note: “We’re at step zero of a race that is going to go a million miles. We’re right at the beginning.”Grace Turney is a St. Louis-based writer, artist, and former librarian. See more of her work at graceturney17.wixsite.com/mysite.(Photos by Josh Larson for From Day One)

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What Our Attendees are Saying

Jordan Baker(Attendee) profile picture

“The panels were phenomenal. The breakout sessions were incredibly insightful. I got the opportunity to speak with countless HR leaders who are dedicated to improving people’s lives. I walked away feeling excited about my own future in the business world, knowing that many of today’s people leaders are striving for a more diverse, engaged, and inclusive workforce.”

– Jordan Baker, Emplify
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“Thank you, From Day One, for such an important conversation on diversity and inclusion, employee engagement and social impact.”

– Desiree Booker, ColorVizion Lab
Kim Vu(Attendee) profile picture

“Timely and much needed convo about the importance of removing the stigma and providing accessible mental health resources for all employees.”

– Kim Vu, Remitly
Florangela Davila(Attendee) profile picture

“Great discussion about leadership, accountability, transparency and equity. Thanks for having me, From Day One.”

– Florangela Davila, KNKX 88.5 FM
Cory Hewett(Attendee) profile picture

“De-stigmatizing mental health illnesses, engaging stakeholders, arriving at mutually defined definitions for equity, and preventing burnout—these are important topics that I’m delighted are being discussed at the From Day One conference.”

– Cory Hewett, Gimme Vending Inc.
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“Thank you for bringing speakers and influencers into one space so we can all continue our work scaling up the impact we make in our organizations and in the world!”

– Trisha Stezzi, Significance LLC
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“From Day One provided a full day of phenomenal learning opportunities and best practices in creating & nurturing corporate values while building purposeful relationships with employees, clients, & communities.”

– Vivian Greentree, Fiserv
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“We always enjoy and are impressed by your events, and this was no exception.”

– Chip Maxwell, Emplify
Katy Romero(Attendee) profile picture

“We really enjoyed the event yesterday— such an engaged group of attendees and the content was excellent. I'm feeling great about our decision to partner with FD1 this year.”

– Katy Romero, One Medical
Kayleen Perkins(Attendee) profile picture

“The From Day One Conference in Seattle was filled with people who want to make a positive impact in their company, and build an inclusive culture around diversity and inclusion. Thank you to all the panelists and speakers for sharing their expertise and insights. I'm looking forward to next year's event!”

– Kayleen Perkins, Seattle Children's
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“I had the pleasure of attending From Day One. My favorite session, Getting Bias Out of Our Systems, was such a powerful conversation between local thought leaders.”

– Michaela Ayers, Nourish Events
Sarah J. Rodehorst(Attendee) profile picture

“Inspiring speakers and powerful conversations. Loved meeting so many talented people driving change in their organizations. Thank you From Day One! I look forward to next year’s event!”

– Sarah J. Rodehorst, ePerkz
Angela Prater(Attendee) profile picture

“I had the distinct pleasure of attending From Day One Seattle. The Getting Bias Out of Our Systems discussion was inspirational and eye-opening.”

– Angela Prater, Confluence Health
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“From Day One did an amazing job of providing an exceptional experience for both the attendees and vendors. I mean, we had whale sharks and giant manta rays gracefully swimming by on the other side of the hall from our booth!”

– Joel Stupka, SkillCycle
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“Last week I had the honor of moderating a panel on healthy work environments at the From Day One conference in Atlanta. I was so inspired by what these experts had to say about the timely and important topics of mental health in the workplace and the value of nurturing a culture of psychological safety.”

– Alexis Hauk, Emory University