Opening — Two Conferences, One Operating Agenda
After attending ATD26 in Los Angeles and SHRM26 in Orlando, I did not come away with two separate sets of conference notes—one centered on talent development, the other on HR. What stayed with me was how selected sessions converged around a broader operating question: How could organizations connect AI, capability building, work design, leadership, workforce decisions, and human needs to more sustainable execution?
Tony Bingham, ATD’s President and CEO, and Johnny C. Taylor Jr., SHRM’s President and CEO, framed this challenge from different angles. Bingham invited leaders to embrace disruption, experiment, strengthen connections, and help others move forward. Taylor’s “Taking Back HR” message called on HR to move closer to how work is designed, executed, and measured.
Across the two conferences, five signals stood out: Learning should extend to capability and performance; AI-enabled work redesign could strengthen organizational effectiveness; leadership and culture shape execution capacity; workforce strategy should become more contextual and evidence-based; and responsible AI and human sustainability should be built into the operating agenda.
Signal 1 — Learning Initiatives Should Extend to Capability and Performance
The first signal is a shift from treating learning as a standalone program to viewing it as part of a broader capability system. Courses, participation, and completion measures remain useful, but they provide only partial evidence that people are applying new skills, adapting to changing workplace, and contributing to business priorities.
At ATD26, senior TD discussions on the Five Futures of Talent Development explored learning embedded in workflow, enterprise capability architecture, and the integration of a broader development ecosystem. Related performance-enablement material drew a useful distinction between learning activities and the outcomes business leaders examine, including productivity, retention, innovation, and execution.
SHRM26 extended this logic through a future-ready HR lens. AI could support learning, growth, and talent mobility, while human experience, ethics, situational awareness, and emotional intelligence continue to shape how capability is applied.
The value chain is therefore widening: Learning develops skills; skills build capability; capability enables performance; and performance contributes to workforce and enterprise outcomes. Once capability is expected to show up in performance, attention naturally shifts to how work itself is designed.
Signal 2 — AI-Enabled Work Redesign Could Strengthen Organizational Effectiveness
Once capability is expected to improve results, AI adoption should be examined where performance is actually produced—in the design of work. Introducing tools, offering training, or tracking automation may create activity without necessarily improving how decisions, coordination, and execution happen across the organization.
At SHRM26, the AI Return on Intelligence session broadened the value discussion beyond hours saved and costs reduced to decision quality, speed to insight, capability building, risk management, and organizational learning. Simon Sinek and BambooHR CEO Brad Rencher raised a related question: not only whether organizations adopt AI, but whether they redesign work around people and technology while preserving trust, culture, and human connection.
ATD26 provided a complementary transition lens. Zack Kass—former Head of Go-to-Market at OpenAI and author of The Next Renaissance—described a progression from enhanced applications to autonomous agents and natural-language operating systems. This evolution could reshape not only individual tasks, but also coordination, information flows, and decision-making. His message—“Be human. Go. Learn. Adapt.”—and the genuine attention he offered during our book-signing conversation reinforced why human judgment and presence should remain part of that design.
From an organizational-effectiveness perspective, the unit of analysis could therefore expand from task to workflow, role, team, and operating model. AI may accelerate redesign, but leaders should still decide how work, capabilities, decision rights, and resources come together to support strategic outcomes.
Signal 3 — Leadership and Culture Shape Execution Capacity
Work redesign does not translate into performance through structures and technology alone. Leadership behavior and organizational culture influence whether people understand the change, trust its purpose, and apply new capabilities in daily work.
At ATD26, DDI’s CEO and Vice President of Professional Services presented leadership development as an intelligent, adaptive system connected to strategic priorities, business drivers, assessment, and measurable action. Their model suggested that leadership capability could become more responsive when development moves beyond standardized programs toward contextual readiness, predictive insight, and sustained behavioral application.
SHRM26 added an execution perspective. Sessions on energizing change, coaching culture, and first-line accountability connected adaptability and trust with manager behavior and operating practices. Keynote speaker Simon Sinek emphasized communication, purpose, and human connection; Oprah Winfrey described HR professionals as custodians of culture and human potential. ATD26’s keynote Will Guidara approached the same issue through service, showing how thoughtful touchpoints and making people feel seen could shape employee and customer experience.
One moment brought this theme to life for me. Day Three also happened to be my birthday. That morning, I mentored future certification candidates as part of the ATD Certification Institute’s 20th-anniversary activities; later, I joined the CTDO Program and contributed to its discussions. When fellow participants surprised me with a birthday celebration, I was deeply touched. It reminded me that capability grows not only through professional rigor and contribution, but also through generosity, human connection, and a genuine sense of belonging.
Culture, in this context, is not simply organizational atmosphere. It is a set of behavioral and relational conditions through which strategy becomes coordinated action.
Signal 4 — Workforce Strategy Should Become More Contextual and Evidence-Based
If organizational effectiveness concerns how work, capabilities, decisions, and resources come together, workforce strategy addresses whether the organization has the right capacity and capabilities in the right places to support that system.
SHRM’s labor-demand research added useful external context. Although overall U.S. labor demand had declined from its pandemic-era peak, it remained relatively robust by historical standards. More importantly, demand and shortage conditions varied by geography, occupational group, and skill category, with occupational mismatch playing a central role. Broad labor-market headlines may therefore offer context, but they rarely provide enough precision for enterprise workforce decisions.
SHRM26’s talent-intelligence session extended this logic inside the organization. Boards may need more than headcount, average time-to-fill, and descriptive dashboards. Decision-relevant workforce intelligence could include critical-role risks, skills gaps against strategy, workforce-supply scenarios, projected turnover costs, and a clear narrative connecting those indicators to business priorities.
For me, this is where workforce strategy and organizational effectiveness meet. Workforce strategy identifies where capability, capacity, and talent risks sit; organizational effectiveness helps determine how the work system should respond. The progression is not simply from more data to better reporting, but from workforce reporting to workforce intelligence—and from intelligence to more informed and defensible decisions.
Signal 5 — Responsible AI and Human Sustainability Should Support the Operating Agenda
The operating agenda remains incomplete if productivity, capability, and capacity decisions are separated from the conditions that support sustained human performance. Responsible AI and human sustainability should therefore be considered within work design rather than managed as parallel HR initiatives.
At SHRM26, the session The Future Leader Is a Wellbeing Architect linked leadership with psychological safety, purpose, flexibility, and accountability. AI could help personalize support and improve responsiveness, while poorly designed systems may increase surveillance, inequality, and disconnection.
During ATD26’s CTDO Program, Patrick D. Lynch, Ph.D., AI Faculty Lead at Hult International Business School, introduced the THRIVE with AI framework. Its accompanying AI Bill of Rights proposed meaningful work, reclaimed time, learning during work, space to create without AI, the right to challenge or override AI-supported decisions, and access to understandable explanations. Zack Kass’s warnings about identity displacement, dehumanization, and weakened critical thinking reinforced the importance of designing technology without diminishing human judgment and responsibility.
This is also how I interpret HI + AI = Real ROI. Human intelligence should not be added after deployment as a corrective layer; judgment, learning, accountability, dignity, and meaningful work should be designed in from the beginning. Governance supports this goal, but it is not the final destination. The broader objective is an organizational system in which technology, workforce choices, leadership, and human capability reinforce one another to create sustainable organizational and business value.
By Maggie Xin Sun | July 2026
Author Bio
Maggie Xin Sun is a global expert in organizational effectiveness and workforce strategy and the Founder and Principal Consultant of BrightJoy Advisory Inc., a U.S.-based strategic OTD management consulting and coaching firm. A dual SHRM-SCP and CPTD credential holder, she brings more than 20 years of experience as an in-house HR and organizational development and talent development leader across Fortune 500 companies and small and midsize enterprises. Her work focuses on translating business strategy into operating model, workforce, leadership, and talent solutions that strengthen execution and measurable organizational performance. Maggie advises and coaches business and HR leaders on organizational effectiveness, workforce strategy, AI-enabled transformation, leadership and capability building, and strategic talent operating models. She also contributes to the profession through global speaking, mentoring, credential-development work, and cross-cultural thought leadership.
