In this episode of Me, Myself, and AI, OpenAI’s chief economist, Ronnie Chatterji, explores how artificial intelligence is profoundly impacting the economy and scientific innovation. He discusses AI’s immediate economic boost through infrastructure investments like chips and data centers and its longer-term role in enhancing productivity as AI integrates into businesses and daily life. Ronnie emphasizes the pivotal question for economists and corporate leaders: when and how AI will generate sustained value inside organizations. He highlights AI's potential to accelerate scientific research by helping researchers test ideas faster, combine knowledge across disciplines, and make smarter decisions. The conversation also touches on the evolving economics of AI adoption, the challenges of career paths in a changing job market, and the importance of responsible AI use and safety. Ronnie shares a practical example of AI improving consumer shopping experiences and reflects on the future of AI in scientific breakthroughs and enterprise applications. He warns against outsourcing critical thinking to AI and stresses the need for nuanced debates and robust data on AI usage.
In 2019, only 24% of large U.S. company boards were considered digitally savvy, with at least three directors experienced in digital tech, and these boards significantly outperformed peers. By 2024, that number rose to 72%, but being digitally savvy by prior standards no longer guaranteed superior financial results, as digital literacy became basic expectation. An updated definition including generative AI, AI agents, robotics, and sector-specific technologies now shows only 26% of boards meet the threshold for being digitally and AI savvy. These boards outperform others by 10.9 points in return on equity and have substantially higher market caps, highlighting the critical importance of advanced tech expertise. Industry adoption varies widely, with information services and professional services leading, while healthcare, mining, construction, and retail lag behind. Boards excelling in AI focus strategically on using AI opportunities, defending against cyber risks, and overseeing ethical data use. General digital knowledge no longer distinguishes boards; cutting-edge AI and tech fluency drives superior outcomes.
When setting up a new device, such as a Sonos speaker, users may link services like Spotify, embedding one platform within another. This 'nesting' arrangement shifts control of the user experience and has strategic consequences for both platforms. Nesting allows platforms to embed their services within others, creating expansive ecosystems where hosts control customer experiences and nested platforms extend their reach. For example, Sonos hosts multiple music streaming services, while Spotify nests into various hardware platforms and also acts as a host with its own nested ecosystems.
Nesting benefits platforms by broadening market access and driving network effects, yet it involves trade-offs like sharing control over customer experience and data. As ecosystems mature, understanding nesting is vital for competitive advantage and growth. Businesses must navigate decisions such as choosing to host or nest, managing governance complexities, handling resource demands, addressing potential competition, leveraging new technologies, integrating service functions, and setting data-sharing policies.
Cases like Android Auto, Microsoft Teams with Trello, and Canva within ChatGPT illustrate diverse nesting forms, from light integration to deeply embedded solutions. Strategic alignment and managing user experience complexity are keys to success. Platforms that balance these considerations can enrich offerings, attract new users, and safeguard their market position amid growing interconnectivity.
Negotiation often triggers anxiety and self-doubt, leading many to settle prematurely or make poor offers. Traditional views on successful negotiators emphasize traits like dominance and assertiveness, which can intimidate those who don't see themselves this way. However, key communication skills—listening, insight, and clear expression—are powerful tools to boost negotiation confidence and effectiveness.
To improve negotiating skills, it's vital to practice making requests despite the fear of rejection, focus on understanding the other party's motivations, and prepare thoroughly by answering five critical questions about goals, alternatives, motivations, value creation, and justification.
Post-negotiation reflection with feedback opens pathways to learning and growth by assessing what worked or didn’t and considering outcomes in relation to alternatives. Leaders play an essential role in coaching and reframing negotiations to nurture confidence and stronger partnerships. With deliberate practice and constructive review, even underconfident negotiators can excel.
Summary:
Negotiation anxiety can hinder success, but embracing communication skills, practicing requests, focusing on others’ needs, and thorough preparation can empower negotiators. Reflection and coaching further build confidence and foster valuable outcomes, enabling improved performance and stronger relationships.
Categories: Leadership, Human Resources, Business
As artificial intelligence increasingly takes on tasks like coding, piloting, and diagnostics, stories of machines quickly replacing humans are common but misleading. AI's progress is uneven and gradual, excelling in some tasks while struggling in others, creating a 'jagged frontier.' McKinsey & Co.'s 2024 report shows AI impacts job tasks differently within roles, reducing demand in positions with repetitive tasks while increasing it in professions requiring complex judgment and empathy, like healthcare.
Automation evolves in three stages: assist, reshape, and replace. The uneven adoption is influenced by friction factors such as task repetition, judgment, human assurance, error tolerance, regulation, and cultural elements. For example, pilots still work alongside automation due to safety, judgment, regulatory, and trust factors, while autonomous cargo and military aviation progress faster without such constraints.
Across sectors—medicine, software development, education, and autonomous driving—AI alters roles incrementally rather than replacing humans outright. Tasks demanding nuanced reasoning, empathy, and accountability remain human-centered. Regulation and organizational resistance also slow AI integration in sensitive fields.
Leaders should focus on understanding these dynamics to guide strategy, invest wisely, anticipate change, and manage workforce transformation with patience and clarity rather than panic over a sudden AI takeover.
Vishal Gupta, engineering manager for machine learning at Reddit, discusses how AI enhances user experience and ad relevance on the platform. AI powers Reddit’s recommendation systems, evolving from collaborative filtering to deep learning and large language models that understand multimodal content. Gupta highlights the importance of balancing exploration and exploitation in recommendations, aligning advertiser goals with user experience, and valuing authentic human conversation amidst the rise of AI-generated content. He shares perspectives on the evolution of recommendation tech, the role of human-generated data in training AI, and Reddit's approach to personalized and privacy-conscious ads. Gupta also addresses concerns about AI-generated content and reflects on the current pace of AI innovation.
CEOs often mistakenly see hybrid work as a policy issue, focusing on enforcing return-to-office mandates to boost productivity and culture. However, the real challenge lies in leadership capabilities, not rigid attendance rules. Research shows no productivity benefit from strict office presence; instead, flexible work arrangements can improve retention, diversity, innovation, and performance. Successful companies prioritize understanding their talent advantage, measuring results over presence, empowering teams to craft their collaboration patterns, and investing in infrastructure, resources, and managerial skills for distributed work. Sustainable workplace transformation requires strategic clarity, outcome-focused management, team autonomy, and continuous learning. The future of work emphasizes collaboration and trust over mere physical proximity, enabling companies to attract top talent, improve engagement, and drive superior business outcomes.
MIT Sloan Management Review and Boston Consulting Group convened an international panel of AI experts in 2025 to examine responsible AI (RAI) governance, focusing on agentic AI that exhibits humanlike traits such as behavior, communication, empathy, and persuasion. Nearly 80% of experts agree that responsible governance involves questioning the necessity of deploying overly humanlike AI systems, emphasizing not just how but when to deploy such technologies. Panelists suggest considering simpler alternatives, advocating transparency, and proceeding with caution due to risks including manipulation, emotional attachment, and overreliance. Humanlike AI may be valuable in contexts like education, therapy, and caretaking but requires deliberate design, testing, and continuous monitoring to avoid negative social impacts. The article concludes with recommendations for organizations on assessing need, educating developers, and maintaining transparency to ensure responsible adoption of anthropomorphic AI.
Vanguard Group, managing around $11 trillion in assets, celebrates 50 years of growth driven by its unique investor-owned model and commitment to low-cost investing. AI plays a crucial role in improving client services, reducing costs, and enhancing investment advice. The company has invested around $500 million in AI, focusing on cost avoidance, risk reduction, and operational efficiency. Vanguard’s AI initiatives support employees (referred to as "crew") by augmenting their work rather than replacing them, with half of the crew trained through Vanguard AI Academy. New CEO Salim Ramji supports AI innovation, leveraging the firm's cloud transition for advanced capabilities. Current AI applications include Crew Assist for contact center efficiency, customized article summaries for advisers, enhanced client engagement tools, robo and hybrid advisory services, AI-assisted code generation, and AI-driven investment models analyzing large datasets to predict financial trends. Vanguard implements strict AI governance to ensure ethical and effective use, aiming to enhance client experiences by freeing experts to focus on valuable financial conversations.
Between three and five years into their tenure, the best CEOs leverage their experience and adopt an outsider’s perspective to launch the next performance S-curve for their company. The S-curve represents the lifecycle of a strategy: slow initial progress, rapid growth from accumulated initiatives, followed by a plateau once major value is realized. Successfully aligning the organization to this next phase is challenging.
Drawing from interviews with 83 high-performing CEOs of the world’s largest companies, the key insight is that top CEOs act as catalysts for ongoing change, constantly pushing from within to avoid bureaucratic stagnation. Notable leaders like Jamie Dimon and Brian Moynihan emphasize the need to fight complacency and empower employees by shifting focus from external demands to internal capabilities.
Effective CEOs co-create strategies rather than dictate them, engaging teams collaboratively to harness the "lottery ticket effect," which boosts ownership and commitment. This approach unlocks creativity and drives bold, customer-focused initiatives, exemplified by leaders like Herbert Hainer at Adidas and Maurice Lévy at Publicis.
Strategy alone isn’t enough; driving change requires reshaping organizational structures, rotating leadership roles, and adapting leadership styles midtenure. CEOs like Ramon Laguarta and Shantanu Narayen transformed their companies by integrating divisions and taking more decisive actions, while others like Hubert Joly decentralized decision-making to sustain growth.
The middle years of a CEO’s tenure are critical to maintaining momentum, creating successive growth curves, and ensuring the organization avoids complacency. This ongoing renewal is vital not only for CEOs but all leaders seeking sustained success.