The tech sector has long outgrown its status as just another industry vertical. Today, the sector – made up of companies developing software and related products – is a foundational force reshaping economies, societies and even the nature of organisations themselves. This statement was already true before the generative AI (GenAI) revolution – and is even more so now.  

The sector appears to operate on a different kind of “business physics”, driven by near-zero marginal costs, rapid experimentation and a shift away from command-and-control hierarchies. For managers looking to lead in this space, the challenge is mastering these unique dynamics, which render the old rules of management less relevant.  

Move fast

Tech start-ups today need little more than a laptop, cloud credits and a brilliant idea to take off. Moreover, new ideas can be prototyped quickly, tested with real users and continuously refined at high speed. The low barriers to entry, combined with the speed of experimentation, translate into higher competition and faster idea cycles. As strategic horizons in tech shrink, leaders must be comfortable operating at high velocity and extreme uncertainty, focusing on first-mover advantage and shorter planning cycles.

OpenAI, Anthropic and Google are no strangers to strategic one-upmanship, frequently timing their launches within days or even hours of one another. For instance, OpenAI launched GPT-4o on the Monday of Google’s annual product launch event in May 2024. 

Then there’s extreme efficiency. In late 2024, DeepSeek surprised the world by disrupting a mostly American-centric GenAI race with their V3 model, which cost a mere US$6 million to train compared to hundreds of millions (or even billions) spent by American tech giants. This 100 times difference in capital efficiency calls into question the need for massive capital and talent hoards to win the race.

At the same time, it pays to know your tech. The industry has a tendency for massive hype cycles. New technologies such as GenAI, Web3 and the metaverse tend to attract immense investment and talent, but the narratives around them can sometimes obscure reality and polarise discourse. More importantly, hype can create pressure-cooker conditions in tech companies, where the fear of missing out often dictates strategy. While trying to keep pace with the competition, leaders must discern real innovation from overhyped fads. “Move fast and break things” may not always be the best way forward.

Race for talent

In an industry defined by rapid boom-bust cycles, tech companies are continually restructuring to meet investor expectations, resulting in periodic, seemingly coordinated layoff waves. And when global talent flows quickly between companies, roles and industries, managing talent is not just about attracting top performers, but also about maintaining morale and engagement in a world where job security is seen as fluid.

Interestingly, although tech professionals are some of the world's highest earners, it’s not only the money that draws them, but also purpose, autonomy and mastery. Many are intrinsically motivated by a passion for solving complex problems and a desire to make an impact. 

When experimentation is cheap and talent is intrinsically driven, the manager’s role shifts from assigning tasks to architecting autonomy: curating the tools, culture and guardrails that allow autonomous teams to self-organise and innovate. Many tech companies have made autonomy and decentralisation a central theme, like GitLab’s open-handbook culture and asynchronous decision-making, as well as Valve’s self-managing teams. Decentralised autonomous organisations go one step further, using blockchain to govern operations without central leadership.

This combination of high skill, high pay and high autonomy has birthed a modern “labour aristocracy” – a class of professionals whose specialised expertise grants them rare leverage over their employers. These professionals view their roles as core to their identity and treat their companies as moral proxies, making their organisations a fertile environment for internal activism. The Netflix employee walkouts in 2021 over the anti-transgender content of Dave Chappelle’s comedy special is just one high-profile example.

Putting in place an impact-driven mission, such as Airbnb’s quest to "create a world where anyone can belong anywhere" or Etsy’s ethos to “keep commerce human", can appeal to these professionals and align decentralised teams around shared values.

Navigate ethical and regulatory frontiers 

The same speed and scale that allow tech to reshape the world is pushing society into uncharted territory – beyond technical frontiers to ethical ones. Tech innovation is constantly outpacing our collective understanding, with breakthroughs in AI, big data and social platforms forcing us to confront novel dilemmas. As new technologies shape human behaviour and societal norms, they’re creating a new class of ethical considerations, namely: autonomy, fairness and democracy.  

In a world where data fuels the digital economy, what rights do individuals have? The rise of so-called "surveillance capitalism" triggers debates over privacy and manipulation. Algorithmic fairness is another concern when decisions are increasingly made by AI – from loan applications to medical diagnoses. To avoid bias in algorithms, care must be taken to prevent historical biases from being encoded into AI systems. 

At the larger, societal level, social media platforms such as Meta have been in the spotlight for their role in amplifying polarising content through their algorithms. As they embrace the ideal of open expression, they have the ethical duty to balance the risk of misinformation at scale, which can polarise societies and hinder democratic processes. 

Regulators certainly have a role in keeping tech companies in line. But while technology evolves at an exponential pace, legislative processes are, by design, deliberative and linear. As a result, tech companies not only need to deal with the uncertainty of regulators catching up with technology, but also the complexity of navigating a patchwork of rules across geographies: from the United States’ "permissionless innovation" to the European Union’s proactive, risk-oriented regulations (like the AI Act). Then there are major players like India and China, which focus on digital sovereignty through assertive policies such as data localisation requirements to ensure national control over their growing digital economy.

Tech companies can also expect heightened uncertainty as the technology reaches a public tipping point. Even if they have been operating in environments with long periods of minimal oversight, the landscape can suddenly become unpredictable beyond this tipping point, in what is known as a “regulatory whiplash”.

What are the implications? From both a strategic and ethical standpoint, while regulations may take time to catch up, leaders cannot be passive players. They can better manage uncertainty by being proactive: through self-regulation (by embedding ethical guardrails), building trust with users and policymakers, as well as investing in proactive compliance and policy engagement.

Be ever ready

The tech industry is characterised by breathtaking speed and scale, thanks to the low barriers, global talent and autonomous organisations. But the landscape is “breathtaking” only if leaders are ready for the realities of the industry. They can be prepared if they: 

• Understand how to embrace decentralisation while ensuring alignment and accountability
• Know enough about the technology to discern real innovation from overhyped fads
• Be able to define and articulate a clear ethical stance
• Navigate a complex, fast-evolving regulatory landscape
• Manage talent in a world where intrinsic motivation and continuous learning are central 

The dynamics of managing in tech companies are beginning to spill over into other industries as they adopt tools such as digital twins and simulation, and engage in continuous technology integration. AI is now enabling these, even in traditionally capital-expenditure-heavy or service-intensive industries. That means it pays for managers in all sectors to be aware of what makes working in tech different and to recalibrate what it takes to lead in a tech-infused world.