The rise and rise of digital coworkers and what it means for leadership

The concept of the “digital coworker” is rapidly gaining traction as artificial intelligence and automation technologies become embedded in the daily fabric of business. A digital coworker is an AI-powered system, bot, or virtual agent designed to work alongside humans, handling tasks that range from customer service and data analysis to workflow management and creative support (and remember a key word here is “alongside”). Unlike traditional automation, digital coworkers are adaptive, capable of learning from their environment and interactions, and can collaborate seamlessly with human teams. Their rise is driven by the accelerating pace of digital transformation, the need for greater efficiency and agility, and the growing complexity of business operations. As organizations face mounting pressure to innovate, reduce costs, and respond to shifting market demands, digital coworkers provide a scalable solution - freeing up human talent to focus on higher-value, strategic, and creative work.

 

The Rise of Digital Coworkers: Why Human Leadership Must Evolve

As digital coworkers become a staple of modern organizations (and adoption is on the rise and will keep on rising further), their impact is far more profound than simply boosting productivity. These intelligent systems are fundamentally changing how teams operate, how decisions are made, and what it means to lead.

Why Are Digital Coworkers on the Rise?

Several converging forces are fueling the adoption of digital coworkers:

• Technological Maturity: Advances in AI, machine learning, and cloud computing have made intelligent automation accessible and affordable for organizations of all sizes, especially with the sharp rise of gen AI over the last three years.
• Business Complexity: Companies operate in an environment marked by rapid change, global competition, and data overload (we are easily talking of dozens of millions of data points for a medium consumer business, as an example). Digital coworkers help manage this complexity by processing information at scale and providing actionable insights, in a flexible and adaptable way.
• Workforce Evolution: As routine tasks are automated, there is a growing demand for human skills such as creativity, empathy, and critical thinking. Digital coworkers handle repetitive work, allowing people to focus on what they do best.
• Consumer Expectations: Customers expect seamless, personalized experiences. Digital coworkers enable organizations to deliver 24/7 service, rapid response times, and tailored interactions. And even if they are still far from being perfect, they keep on learning and evolving constantly.

 

The New Demands on Leadership

The integration of digital coworkers into the workplace is redefining what effective leadership looks like. Traditional command-and-control models are giving way to a more adaptive, people-centric approach that recognizes the unique strengths of both humans and machines.

1.       From Efficiency to Empathy

While digital coworkers excel at processing data and executing tasks, they lack the emotional intelligence and nuanced understanding that humans bring – and these are dimensions that the human side of the teams will have to focus to unlock the true value of these mixed teams. But this also means leaders must now prioritize empathy, active listening, and team development - fostering environments where people feel valued and empowered to contribute their unique perspectives.

2.       From Control to Collaboration

The most successful organizations will be those that embrace a hybrid model, where digital coworkers and humans collaborate as partners. This requires leaders to cultivate psychological safety, encourage experimentation, and support continuous learning. The role of the leader shifts from directing work to orchestrating collaboration between diverse talents - both human and artificial – even more than today. Let’s also remember that decision-making, innovation and the bravery to pursue them will always be human dimensions – and in the end, it’s those that add the most value to any business.

3.       From Short-Term Gains to Ethical Stewardship

With the rise of digital coworkers comes a host of ethical considerations, from data privacy to the impact of automation on jobs. Leaders must act as ethical stewards, ensuring that technology is deployed responsibly and aligns with broader societal goals such as sustainability and inclusion. This means establishing clear guidelines for AI use, prioritizing transparency, and engaging stakeholders in open dialogue about the future of work.

 

Building the Leadership Playbook for an AI-Driven Future

To navigate this transformation, leaders must cultivate new competencies:

AI’s Strengths	Human Leadership Imperatives
Data analysis, automation	Strategic vision & ethical judgment
Process optimization	Emotional intelligence & mentorship
Scalability	Adaptability & resilience

• Hybrid Team Orchestration: Leaders must design workflows that leverage the strengths of both digital coworkers and human employees, ensuring that technology augments rather than replaces human creativity.
• Continuous Learning Culture: Investing in upskilling and reskilling is essential, enabling teams to adapt to new tools and ways of working. This collaboration is and will be new for all of us.
• Ethical Decision-Making: Establishing frameworks for responsible AI use, with a focus on transparency, fairness, and accountability.
• Adaptive Resilience: Embracing change and uncertainty, guiding teams through ambiguity, and maintaining a long-term vision.

 

Looking Ahead

The rise of digital coworkers is not a threat to human work, but an invitation to reimagine leadership for a new era. By aligning technology with empathy, ethics, and agility, leaders can unlock new sources of growth and innovation - creating organizations that are not just more efficient, but more human. And this should be the mantra to successfully play this major revolution.

 

#FutureOfWork #Leadership #AI #DigitalTransformation

Dystopia

 In big and small screens, books, conversations. We can see, watch, hear it, feel it everywhere.

“Dystopia used to be a fiction of resistance, it’s become a fiction of submission (…). It cannot imagine a better future, and it doesn’t ask anyone to bother to make one (…). It requires so little, asking only that you enjoy the company of people whose fear of the future aligns comfortably with your own.” – Jill Lepore.

But when we talk about the future and the massive challenges it entails, we should remember we can have fear but we shouldn't feel entitled to enjoy it – instead, we should embrace future and build a better one. Actively. Every day.

AI and Data

 Everyone’s asking: “Which Generative AI model should I use?” But here’s the real question-what’s the quality of your data?

We love talking about AI models, but the truth is: AI is only as good as the data you feed it. The output depends on the input-including the questions you ask.

If you want GenAI to deliver valuable, logical, and actionable insights, start by looking at your data:

• Is it well-organized and relevant?
• Do you know why you’re collecting it?
• Is it comprehensive and up-to-date?
• Are you structuring it for clarity and depth?

Take care of your data first. That’s the foundation. The AI model comes after.

Making Sustainability Reporting easier and simplier

 

Some people believe the EU is hitting “pause” on some of its most ambitious sustainability reporting rules, and the debate is heating up.

On April 16, the EU Council released a draft position to reduce and delay new sustainability reporting requirements for companies. The move follows the European Parliament’s recent approval to postpone the Corporate Sustainability Reporting Directive (CSRD) and the Corporate Sustainability Due Diligence Directive (CSDDD) by up to two years for large companies and listed SMEs:

-            Large companies now have until 2028 to publish their first CSRD-aligned sustainability reports, while listed SMEs get an extra year.

-            The reporting scope is being narrowed, focusing on the biggest players and easing the burden on smaller firms.

-            Some disclosure obligations will only apply when companies make specific sustainability claims, raising concerns about “green hushing” and reduced transparency.

-            The CSDDD’s due diligence requirements are also being softened, with less responsibility for indirect business partners.

 

Now, this is a quite a moment for the European business landscape – and let me explain you why. If you look at most of the comments that are done regarding the EU (and Linkedin’s a good example), they tend to point out the heavy bureaucracy burden that is laid on companies – and all these burdens have costs, directly or indirectly that reduce our European ability to compete effectively in global markets.

The simplification that has just been announced has thus been very well welcomed – I understand when critics warn that delaying and diluting sustainability reporting risks undermining the EU’s Green Deal ambitions, but I personally don’t think it is the case. I think these changes, this simplification, make the legislation easier to adopt, be implemented and result in the desired outcomes. It lessens the bureaucratic unnecessary weight, adopting the measures to the realities of European companies – while clearly showing them the direction. This is still about sustainability and a better environment and future.

And as the regulatory landscape evolves, one thing is clear: transparency and accountability remain at the heart of sustainable business. Companies should use this time to strengthen their ESG strategies, not put them on hold.

So how is your organization preparing for these changes?

How to can we use Generative AI to foster a culture of growth and innovation

In today’s rapidly evolving business landscape, fostering a culture of growth and innovation is more crucial than ever. But let’s not get lost in easy assertions – this is a difficult task, and one that is depends a lot on the people driving that culture, and in the talent that must foster the mindset from every level of the organization. It is also a shared effort that takes time and is, more than directive, about setting up the right examples and turning them into habits. Generative AI is adding something to the mix as well, as it emerges as a powerful and transformative tool, helping organizations to collaborate, experiment, and unlock creative potential. Let me give you my view on three dimensions that forward-thinking companies can harness through generative AI to drive meaningful cultural change.

Breaking Down Silos and Enhancing Collaboration

One of the most powerful impacts of generative AI is its ability to break down traditional organizational silos. Now, these are easy words – let’s try to be a bit more concrete. Gen AI can help you to:

-            setup real-time translation, making easier for everyone to understand what is happening in their own languages;

-            automate meeting summaries, allowing you to, in seconds, send a concise list of what’s been discussed, next steps and actions, deadlines and communicating clear ownership;

-            democratize access to information, making it easier and faster to communicate across teams, departments, geographies and backgrounds.

This is a lot about automating agility of communication – you want to enable a seamless exchange of ideas and different perspectives that accelerates problem-solving and sparks innovation.

Creating a Culture of Experimentation

Innovation thrives in environments where experimentation is encouraged, and failure is seen as a learning opportunity. Earlier, I talked on how Generative AI dramatically lowers the barriers to experimentation by making rapid prototyping and iterative pilots faster and more affordable. This means teams can quickly test new ideas, gather feedback, and refine their approaches – and, if done right, this can have a very positive effect on culture. If you are able to improve ideas better and faster (and killing the bad ones the same way), you are making it cheaper, and lowering the cost of failure – and this setups it up to see failure as part of growth, creating a safe-to-fail environment where creativity flourishes. This shift not only reduces the risks traditionally associated with innovation but also empowers employees to take bold, imaginative steps. Let’s be clear on this, it depends a lot on how you ask the “why”. If after a failure you snarl “why?” you aren’t actually creating this safe-to-fail environment. You need to ask the “why?” in a positive tone, in a “what did we learn from this and how will we use it for better ideas?” way.

Accelerating Design and Optimizing Processes

Generative AI’s ability to automate routine tasks and optimize processes is a game-changer for organizations seeking to maximize their talent – because, let’s be clear, you don’t pay great talent to write reports. By handling repetitive or time-consuming work, AI frees up employees’ time and energy to focus on higher-value, imaginative tasks that drive growth – and that are inherently human. Whether it’s accelerating product design, streamlining workflows, or uncovering new business opportunities, AI enables teams to move faster and think bigger - amplifying both productivity and creativity. The key words here are automation, easier and faster, you want to enable processes at scale that foster your internal processes so your team can focus on higher-value tasks that can deliver differentiated output to the market. So… automate, as much as you can!

Embracing the Future of Work

As generative AI continues to evolve, its potential to foster a culture of growth and innovation will only expand. Organizations that embrace AI not just as a tool, but as a catalyst for cultural transformation, will be best positioned to thrive. By breaking down silos, nurturing experimentation, and empowering talent, generative AI helps create workplaces where innovation is not just possible, but inevitable. But we should keep in mind that culture is not only about tools, but especially about mindsets – Gen AI can only bring transformation if everyone is committed to it, not through orders and speeches, but with actions, examples and incentives.

Future thinking

 I recently embarked on a journey of future thinking learning, understanding the models, techniques and frameworks that enable us to think 10 years into the future, but also on how to stretch creativity and imagination linked to the signals we already have on how that future might be. I believe the future is a great tool to build the present. Because we don’t necessarily want to understand how the future will be, we actually should want to think about the future in order to figure out how we want to make things different, how to innovate or change – and how we need to do that nowadays to impact the future.

 

“When it comes to thinking about the future, it’s far more important to be imaginative than to be right” – Alvin Toffler. Because the future is still probabilistic, and we want to influence it to become better.

Total Economic Value

 Warning, slightly technical post coming.

If you own rural property, especially if that is a forest, you should pay special care at its value – and remind it as the season to prevent forest fires is drawing to an end. And for that, the Total Economic Value (TEV) framework offers a comprehensive perspective for understanding the full suite of benefits forests provide - not just timber or land, but also carbon sequestration, water regulation, recreation, and cultural values. And it helps you to consider the aggregated value of each of these dimensions.

By incorporating TEV into their valuation considerations, forest owners can better capture the true worth of their land, making informed decisions that reflect both market and non-market benefits. This approach not only supports sustainable management but also strengthens the case for conservation investments and responsible stewardship, helping you to understand now the future of forests as a full asset – and, maybe even, to start generating part of that value in the present.

From a sustainability perspective, and as global attention shifts toward ecosystem services and natural capital, recognizing the total value of forests is essential for ensuring their protection and long-term prosperity – so, aligning sustainability to economic and financial values. If each forest landowner recognizes the broader perspective on forest value (now and potential), than it will be easier to ensure both economic returns for landowners and ecological resilience for future generations.