From AI-powered innovation to shifting workplace dynamics, Tuck faculty predict the top trends that will impact business in 2025.
What’s next in 2025? We asked Tuck faculty what trends they’re watching and what predictions they have for business in the new year. From boardrooms to supply chains, generative AI to hybrid work, they share insights on the key forces impacting business in 2025.
Professor of Leadership and Organizations
Area of expertise: Social networks
View Full Profile
PREDICTIONS:
Associate Professor of Business Administration; Harvey H. Bundy III T’68 Faculty Fellow
Area of expertise: Corporate governance and shareholder activism
View Full Profile
PREDICTIONS:
Assistant Professor of Business Administration
Area of expertise: Gender inequality
View Full Profile
PREDICTION:
In the coming year, I expect organizations to adapt their diversity, equity, and inclusion (DEI) strategies to navigate our shifting political and cultural climate. Many will likely rebrand their DEI strategies as part of broader HR strategies—such as talent management or leadership development—rather than abandoning them altogether. This allows companies to pursue inclusion goals while sidestepping polarizing debates.
Although recent headlines have been highlighting the companies that have rolled back their DEI strategies, it’s also worth remembering that media narratives can distort perceptions. Yes, some companies are scaling back, but others are holding steady or even doubling down. In fact, a recent Nature study shows diversity and inclusion have more public support than most Americans realize. In other words, the national conversation around DEI may shift, but the employees, consumers, and investors who care about these values aren’t going anywhere, and smart businesses know DEI is a competitive edge.
Clinical Professor of Business Administration
Area of expertise: Innovation
View Full Profile
PREDICTIONS:
There will be a clear and growing schism between AI leaders and laggards. Accenture estimates that only 20 percent of companies have the systems in place to really benefit from AI, and I suspect that number is an overestimation. And that’s not even the hard part! One estimate is that for every dollar organizations spend on technology, they should expect to spend seven dollars on training and related activities. As my friend and co-author of Eat, Sleep, Innovate Paul Cobban preaches, “nothing changes unless people’s behavior changes.” I expect to see more big moves like the Omnicom-IPG merger in sectors such as accounting, advertising, consulting, and legal services that promise to be radically reconfigured by AI.
More broadly, I suspect that there will be increasing premium on organizations that demonstrate the ability to adapt to change. It is very likely that the most critical events of 2025 are ones that no one sees coming at first (and then are viewed as inevitable and obvious after the fact—such is the nature of change). Organizations that expect the unexpected, develop sensing networks to allow them to spot and interpret weak signals of change and show the ability to react at pace will be best positioned to navigate through the fog of today’s never-ending uncertainty. That paradoxically requires an even deeper connection to purpose and mission that serve as ballast through turbulent waters. We need wise, decisive leaders like never before!
**Scott Anthony’s new book—Epic Disruptions: 11 Innovations that Shaped the Modern World—will be published by Harvard Business Review Press in September 2025.**
Associate Professor of Business Administration
Area of expertise: Marketing and machine learning
View Full Profile
PREDICTION:
We’re at a stage of AI development where it will be cheaper to use certain models, and such applications will find more widespread adoption. This will especially be the case in some expected and some rather unexpected areas. For example, as expected, smaller AI models with limited but useful capabilities will appear in devices with limited computing capacity such as smart appliances. On the unexpected side, AI may find itself more widely used in emerging economies where labor is cheap and human resources (rather than technology) are more widely used for mundane tasks. On the innovative side of the technology, more focus will be placed on multimodal AI. It will become more commonplace for these models to take in as input a combination of text, audio, images, and video and generate such multimodal content back as output.
AI’s use will proliferate for both good and bad in such markets where no regulation exists yet for their use. Neutral organizations must take special care and watch for its use in mass propaganda and surveillance. It will be harder to parse fact from fiction with more accurate sounding generative content. Markets with stronger regulations, such as the E.U., will continue to employ stricter regulations on training data and use cases, bringing to the fore more tensions between government and technology firms.
Professor of Business Administration
Area of expertise: Health care management, retail operations, supply chain management
View Full Profile
PREDICTION:
In 2025, the deployment of generative AI and agentic AI in customer service operations will continue to transform the way businesses interact with their customers. These technologies will enhance customer experiences through faster, more accurate responses while significantly reducing operating costs. However, firms must guard against complacency and address three critical considerations to maximize the benefits of AI integration:
By striking the right balance between automation and human expertise, organizations can position themselves to thrive in the rapidly evolving landscape of AI-powered customer service.
Professor of Corporate Communications
Area of expertise: Corporate communication
View Full Profile
PREDICTIONS:
Visiting Professor
Area of expertise: Corporate AI strategy, machine learning and natural language processing, innovation strategy, technology law and policy
View Full Profile
PREDICTIONS:
In 2025 many firms will realize they have to rethink their AI strategy. Specifically, as many firms confront the looming performance ceilings of their existing AI approach, they will search for new strategic directions.
Today many firms have already undertaken the first steps in AI adoption. They have become accustomed to using chatbots and other Generative AI tools for numerous productive purposes, including both small pilot projects and AI systems deployed at scale. These experiences have made firms comfortable with basic AI capabilities and honed their AI skills. More experienced firms have also begun the transition to the next level of AI: autonomous agents.
However, many firms will relatively quickly exhaust the low hanging fruit from off-the-shelf AI products. The easy productivity gains from available AI systems are, in some cases, quite valuable. However, these products will be used by firms and their competitors, affording no clear competitive advantage. More importantly, firms will not find third party AI tools that perfectly match many of the specialized tasks that drive firm value. No off-the-shelf AI tool will perfectly align with the specific ways that a firm in a given industry identifies potential customers, manages its operations, strengthens its brand, or drives customer loyalty.
This gap between general-purpose AI capabilities and a firm’s unique needs will lead to suboptimal results. This gap will be particularly evident in tasks demanding highly specialized knowledge, nuanced reasoning, or deep domain expertise.
Increasingly, firms will recognize the need to move beyond relying exclusively on the tools of external AI providers. They will proactively invest in tailoring AI solutions to their specific operational, organizational, and industry contexts. If executed well, this early adoption of customized AI will ultimately confer a significant competitive advantage.