AI Is reshaping the workplace, but company culture still comes down to interactions: HBR report

As AI reshapes how team members make decisions, enterprises are facing a new question: what happens to workplace culture when AI becomes part of the everyday interaction?

A recent Harvard Business Review study argues that culture is revealed less by mission statements than by everyday workplace interactions.

Researchers found that interruptions in meetings can reveal whose voices carry weight. Even more, AI is adding another layer to this dynamic. As AI-powered meeting support increasingly summarize conversations and send action items, organizations have an opportunity to make these invisible dynamics more visible.

For instance, AI could help leaders identify patterns in who speaks, whose ideas receive follow-up and whether contributions are consistently attributed.

However, technology alone will not create stronger company cultures. An AI system can identify that certain employees are being interrupted repeatedly; it cannot substitute for leadership action when those patterns emerge.

There is also a risk that AI could reinforce existing dynamics if its outputs reflect the same biases embedded in workplace interactions. If certain voices consistently dominate meetings, an AI system trained on those conversations may simply amplify what the organization already rewards.

The lesson from the HBR research is that, increasingly relevant in the age of AI, culture is not just what companies say or the technology they deploy.

It’s also what employees experience, interaction by interaction, and AI can either expose those patterns or reinforce them.

This has increasing implications for industries small and large.

According to a Gallup study, that global employee engagement fell to 20% in 2025, its lowest level since 2020, costing the world economy an estimated $10 trillion in. Companies are increasingly looking to training, flexible work and more to find solutions to address this.

In today’s rapidly evolving market, some companies are going beyond simply adopting AI, they’re using it to build stronger and people-focused workplace cultures. Here are 15 of the top AI companies to work for in 2026.

Prezent

Prezent is building AI around one of the most common, and time-consuming, parts of enterprise life: business communication. Its platform combines generative AI, design and enterprise workflows, giving employees the opportunity to work on technology where AI has an immediate impact on how professionals create and communicate information.

The company’s CEO, Rajat Mishra, has frequently written about company culture for The Economic Times and other outlets, emphasizes on ownership,  teamwork and continuous learning also makes it an appealing environment for people who want responsibility early in their careers.

For professionals interested in GenAI beyond chatbots, Prezent offers exposure to a growing category of AI-powered enterprise applications.

Get Covered

Insurance is not traditionally seen as a technology-first industry, but Get Covered is helping change that. The company, led by Brandon Tobman, is using AI and automation to simplify insurance and compliance for property managers, residents and vendors, while its acquisition of Revyse expands its capabilities in vendor compliance and contract management.

For employees, that creates an opportunity to apply AI to a large, complex industry where technology can have a tangible commercial impact.

It is particularly compelling for professionals who want to work at the intersection of AI, insurtech and property technology while helping modernize an industry that has historically been slow to digitize.

Effie AI

Effie AI is part of a new generation of companies using AI to fundamentally rethink how people work.

Rather than focusing solely on AI research, the company is applying artificial intelligence to everyday workflows, giving employees the opportunity to build products where intelligent automation directly improves productivity.

As enterprises move from experimenting with generative AI to deploying AI agents and automation across their operations, Effie AI offers employees the chance to develop practical skills in one of the fastest-growing areas of technology. 

Ness Digital Engineering

Ness Digital Engineering offers AI professionals something particularly valuable: exposure to a broad range of enterprise AI challenges. Its roles span AI engineering, data science, AI program leadership, Intelligent Engineering and more across multiple regions throughout the globe.

Employees can gain experience working with different technologies, industries and large-scale modernization projects rather than being tied to a single AI application.

For engineers looking to build a long-term career in enterprise AI, Ness provides an environment where technical skills can be developed through complex, real-world deployments.

ADvendio

ADvendio, founded by Bernd Bube, offers an opportunity to work on the rapidly changing intersection of AI and advertising technology. As media companies increasingly automate sales, operations and financial processes, the skills required to build intelligent advertising infrastructure are becoming increasingly valuable.

Employees can gain exposure to enterprise software, Salesforce, advertising technology and the emerging agentic AI ecosystem.

Remoti

Remoti, which is the talent platform for the modern workforce, is working at the intersection of AI, automation and the future of global employment. Its workforce platform helps companies hire, manage and pay international employees, tackling complex challenges around HR, compliance and payroll.

For technology professionals, this creates opportunities to work on systems where automation has to operate across different countries, regulations and workforce structures.

As distributed teams become increasingly common, Remoti provides employees with exposure to a rapidly evolving category of technology while helping shape how companies and talent work across borders.

Databricks

Databricks, which is used by more than 20,000 organizations worldwide, sits at one of the most important intersections in modern AI: data and intelligence. As enterprises increasingly recognize that effective AI depends on high-quality data infrastructure, Databricks gives engineers and data professionals the opportunity to work on the systems underpinning that transformation.

Its combination of data engineering, analytics and AI creates opportunities to develop expertise across the full enterprise AI stack.

For professionals who want to understand not just how to build AI models but how organizations actually make AI work at scale, Databricks is an especially compelling place to build those skills.

Sonata Software

Sonata Software stands out for professionals who want to build AI expertise within an established global technology organization. The company’s FY2026 annual report says more than 90% of its workforce is AI-capable, while its AI Mavericks initiative focuses on identifying and developing AI talent.

That emphasis on workforce-wide AI skills is increasingly important as companies look beyond specialist AI teams and expect employees across the organization to understand and apply the technology.

For technologists, Sonata offers the combination of enterprise scale, structured learning and exposure to AI-led modernization projects.

Calice

Calice is applying AI to a problem with implications far beyond software: how agriculture develops and tests new products. Its Environmental Engine uses virtual field trials to model how agricultural products could perform across thousands of environments, combining AI with systems biology and chronobiology.

That gives employees the opportunity to work on AI that intersects with biology, climate and food production rather than traditional enterprise software.

With operations spanning Buenos Aires, San Francisco and São Paulo, Calice is particularly compelling for professionals who want to apply advanced AI to scientific and real-world problems with potentially global consequences.

Source Meridian

Source Meridian, which was named The Bogota Post’s Best Company to Work for in 2026, offers AI professionals the opportunity to work on technology where accuracy, security and domain expertise matter. Its teams operate across life sciences, healthcare and other regulated industries, combining AI, data, cloud and platform engineering.

That creates a different kind of AI environment from consumer technology: employees are solving problems where technology can influence highly complex business and scientific processes.

With an emphasis on technical ownership and continuous learning, Source Meridian is particularly attractive to professionals who want to deepen their AI expertise while working on challenging problems in regulated industries.

Fracttal

Fracttal, which is based in Madrid, offers employees the opportunity to work on AI with a direct connection to the physical world. The company combines AI, IoT and operational data to help organizations predict equipment failures, recommend maintenance and automate workflows. Its international footprint across Latin America and Europe also exposes employees to complex industrial challenges across sectors including manufacturing, healthcare and facilities management.

As predictive and agentic AI move deeper into industrial operations, Fracttal provides an opportunity to develop practical experience building intelligent systems that can directly influence productivity, reliability and operational continuity.

Making Sense

Making Sense provides a particularly broad environment for professionals who want exposure to the practical implementation of AI. The technology partner works with companies on intelligent workflow automation, agentic AI, AI-enabled software development and broader AI adoption.

That means employees can encounter different technologies, industries and AI use cases rather than spending their careers focused on a single application.

With nearly two decades of technology experience and teams across the U.S. and Latin America, Making Sense offers professionals the opportunity to learn how AI moves from an idea to an operational business solution.

Muttdata

Muttdata, based in Buenos Aires, is particularly relevant for professionals who view data infrastructure as the foundation of enterprise AI. The company helps organizations across consumer goods and financial services build modern data environments and AI capabilities, working with technologies such as Databricks and AWS.

Team members can develop expertise across data engineering, cloud infrastructure and applied AI while working on large-scale business challenges. For anyone looking to build the technical foundations that modern AI depends on, Muttdata offers a strong environment for developing highly transferable skills.

Neuromorphic

Neuromorphic offers engineers an opportunity to work at one of the most emerging frontiers of AI: physical intelligence. The company is developing an onboard LLM designed to translate natural-language instructions into workflows for different types of robots, from quadrupeds and wheeled machines to humanoids.

That means employees are working at the intersection of language models, robotics and real-world automation rather than limiting AI to a screen.

As physical AI becomes one of the industry’s major areas of development, Neuromorphic provides the chance to work on technology designed to make robots useful in real operational environments, including its early work with wet-lab customers.