Rob Dobi challenges the traditional view of loyalty as an inherent organizational virtue. With recent political examples highlighting loyalty's pitfalls, the article argues that loyalty often masks obedience, favoritism, or self-interest rather than true commitment to mission or values. Unhealthy loyalty can suppress dissent, enable unethical behavior, and harm organizational performance. Instead, Dobi advocates for a shift away from loyalty towards shared principled commitment, where relationships are based on mutual respect, trust, and a shared purpose. He outlines unhealthy forms of allegiance — coerced, sycophantic, relationship-first, and idealized devotion — contrasting them with the healthiest approach: shared principled commitment. Leaders should cultivate cultures that value open challenge, relational reciprocity, and clear values aligned with organizational purpose. This fosters resilience, ethical behavior, and high performance, ultimately building workplaces where commitment to mission transcends mere loyalty to individuals or status quo.

Rob Dobi's research explores the rising role of Chief Purpose Officers (CPOs) in companies aiming to embed purpose deeply into their strategy and culture. By interviewing 56 CPOs from diverse industries, the study identifies four distinct leadership archetypes: Visionary, Activist, Architect, and PR Strategist. Each archetype approaches purpose leadership uniquely—from inspiring emotional connection and challenging organizational norms to embedding purpose in systems and crafting narratives. The research highlights that companies must align their choice of CPO with their current purpose maturity and objectives, whether it's cultural renewal, confronting ethical challenges, institutionalizing purpose, or communicating it externally. Key activities for all CPOs include linking purpose to strategy, sharing responsibility across the organization, embedding purpose in governance, and emotionally connecting people to the mission. Successfully institutionalizing purpose requires the right leadership fit and ongoing support to make purpose a tangible, operational priority rather than just a statement.

Securing manager approval for innovative ideas is often challenging. Research reveals that employees who have transitioned from working-class backgrounds into white-collar roles tend to communicate in ways that make their ideas more likely to be heard. These 'upward transitioners' are more prone to acknowledge potential gaps in their ideas, invite managers' input, and remain open to revising their proposals. Surveys and behavioral experiments involving over a thousand participants, including a multinational engineering firm's employees in India, indicate this communication style resonates particularly well with powerful managers. The openness reduces defensiveness, shifting the focus from who is right to what solutions might work, and encourages managers to take ownership of the ideas. This approach contrasts with the confident, firm pitches often used by employees with consistently higher-class backgrounds, which may be less effective with those in positions of power.

Companies are hopeful that AI chatbots will streamline customer service by providing faster and more cost-effective solutions. However, many customers still prefer interacting with human agents. Recent research sheds light on why customers often resist AI in service scenarios. First, customers avoid chatbots due to 'gatekeeper aversion,' where uncertain, multi-step processes drive them away, and 'algorithm aversion,' which further reduces trust in chatbots. Transparency about chatbot capabilities and wait times can improve acceptance. Second, AI tends to be better received when delivering bad news, as people don’t attribute negative intentions to machines, but they prefer humans when receiving good news because humans are seen as more generous. Third, whether customers accept AI depends on two factors: perceived AI capability and the need for personalized service. When AI is seen as more capable and personalization isn’t necessary, customers prefer AI; otherwise, they want human interaction. Businesses should consider these points before automating customer-facing roles to balance efficiency and personalization.

Even seasoned B2B sales professionals can be swayed by a compelling story. In research involving over 600 salespeople, those who heard a personal anecdote during negotiation were 17% more willing to concede and showed 10% higher trust in the buyer—even when the buyer was dishonest. This effect, known as narrative transportation, happens when people become so engaged in a story that skepticism fades. With AI increasingly negotiating on behalf of humans, this vulnerability is compounded. In another study, most participants did not realize their counterpart was a bot, highlighting the risk of deception. To counter this, managers should avoid making decisions immediately after hearing stories, designate team members to verify facts during negotiations, and confirm whether they're dealing with a human, especially for high-stakes deals. As AI’s presence grows, understanding when and how stories influence judgment is crucial.

John Pearson, CEO of DHL Express since 2019 and a seasoned leader with over three decades at the company, shares insights on how DHL’s corporate purpose "Connecting people, improving lives" drives its culture and performance. At DHL, the approach to excellence begins with people — engaging motivated employees to foster a great work environment. Purpose is fundamental; it defines why employees come to work daily and shapes the company’s impact globally. DHL’s purpose has two facets: the daily mission of connecting people and businesses worldwide, and empowering employees through volunteer programs like GoTeach and GoHelp that generate social impact. This dual focus especially resonates with younger employees who seek meaningful engagement beyond routine work. To embed purpose in leadership, DHL incorporates it into self-assessments for managers, promoting reflection on their contribution to the company’s mission. Pearson emphasizes leveraging company assets, such as its global logistics network, to live its purpose — exemplified by initiatives like the GARD program, which prepares airports worldwide for disaster response in partnership with the U.N. This strategic use of resources highlights how purpose can translate into impactful action.

Algorithm-driven tools hold the promise of democratizing knowledge access and boosting creativity. However, research shows a hidden downside: these tools can restrict creative potential by undervaluing expertise. The root cause lies in their design. Algorithms typically prioritize popular and relevant information, reinforcing users' existing knowledge rather than encouraging new exploration. This creates 'ideation bubbles'—clusters of similar ideas leading to homogeneity in thinking.

Our research introduced an alternative approach, modifying traditional algorithms to emphasize diversity and uncommon ideas. In experiments involving sustainability challenges, users of this exploration-focused algorithm produced notably more creative solutions. Experts, in particular, benefited, outperforming novices by leveraging diverse insights and combining knowledge across fields—a process we call recombinant innovation.

The organizational impact is significant: exploration-based algorithms help experts break free from conventional thinking, generating a broader range of novel ideas. Businesses should treat algorithm design as a strategic choice, matching exploration tools to innovation tasks while maintaining exploitation tools for efficiency. Encouraging experts to critically engage with algorithm-generated content and continuously auditing idea diversity can further combat ideation bubbles. Ultimately, expertise remains essential, but its value transforms with AI, shifting toward the ability to synthesize and innovate from diverse information pools.

This shift calls for investing in expertise and configuring AI tools to unlock creative potential, positioning organizations to harness AI-driven innovation effectively.

Many boards have made strides in increasing diversity with more women and people of color serving as directors. However, diversity alone is insufficient without true inclusivity, which ensures all members’ voices are heard and valued. Our interviews with board chairs and members revealed a gap: chairs generally believe their boards are inclusive, but many directors disagree. Inclusion means every board member feels respected and empowered to contribute, with diverse perspectives actively sought and thoughtfully considered. We identified five often-overlooked behaviors that chairs can adopt to foster inclusion: 1) Using pre-meeting calls to understand, not control, perspectives; 2) Framing agenda items for discussion rather than presentation, encouraging open dialogue; 3) Demonstrating true hearing by acknowledging and integrating input beyond just active listening cues; 4) Managing seating arrangements to disrupt power clusters and ensure equal participation; and 5) Providing equal access to information and executives to all members consistently.

Additional inclusion boosters include explicitly measuring board inclusiveness through surveys or one-on-one conversations, and offering training to close expertise gaps on complex topics like AI and sustainability. Intentions alone don’t create inclusion—it requires deliberate, consistent chair behaviors. Chairs who embrace these practices can transform diverse boards into inclusive environments where smarter, more innovative decisions thrive.

The fierce competition for AI talent reveals the challenges companies face in keeping their best employees. Despite high stock-based compensation and retention bonuses, companies like OpenAI have seen key employees leave for rivals offering even more lucrative deals. This intense battle underscores a wider problem across industries: valuable employees are highly mobile, and simple pay raises often don’t suffice to keep them. Retention requires understanding the various employee mobility barriers—ranging from individual preferences and job satisfaction to organizational culture and societal constraints. These barriers differ in how much control employers have over them and can be managed through proactive or reactive strategies, either centralized or delegated. Effective talent retention combines personalized approaches with companywide initiatives, such as career development programs and meaningful job design. Importantly, retention strategies must be dynamic and context-specific, focusing on unique barriers that competitors cannot easily replicate, like culture and autonomy. By comprehensively addressing these factors, companies can better retain critical talent and adapt to evolving workforce challenges in the AI-driven landscape.

Patrick George/Ikon Images

Every organization and hiring manager aims to hire the best talent and gain an edge over competitors. But consider this: Have you ever been given a chance by a decision-maker despite lacking perfect credentials? You likely exceeded expectations because someone saw potential in you. Yet today, many leaders hesitate to take these bets, often focusing only on candidates with flawless resumes and backgrounds. This approach is costly and risky.

Research shows that opportunity — giving people a chance and investing in their growth — drives recruitment interest, engagement, effort, and retention more than salary or job design. Yet most leaders reserve opportunities for those they already perceive as "the best," which is neither objective nor efficient. Talent evaluation varies widely, and the "only the best" mindset narrows candidate pools, drives up costs, and often results in poorer performance when star hires fail to meet expectations in new roles.

An alternative is the "opportunity mindset," which doesn’t mean lowering standards but identifying candidates with the right skills and potential rather than credentials alone. By supporting new hires through onboarding, mentorship, and development, organizations can turn good hires into great employees. This approach broadens the talent pool to include nontraditional candidates like community college grads, career switchers, or parents returning to work, creating a more diverse, resilient workforce.

Leading companies like IBM, Bank of America, Google, and others have adopted skills-first hiring and internal promotions, finding these strategies improve retention, productivity, and financial performance.

Even in today’s hiring recession, the opportunity mindset remains valuable. Increased applicants don’t improve judgment, and AI-generated resumes blur signals, making skills assessments more critical. Hiring now offers a chance to invest in undervalued candidates at a lower cost, preparing your company for future labor shortages and a tighter market.

To apply this, try a hiring experiment: define key job skills, evaluate all finalists consistently, and commit to developing the new hire’s potential over their first year. Track performance and retention. This approach could uncover a powerful competitive advantage — transforming good candidates into outstanding employees.

The opportunity mindset builds enduring, inclusive, and future-ready organizations by betting on potential and growth. Remember how someone once believed in you and the returns that brought. Those who make similar thoughtful bets now will lead organizations that thrive over the long term.