The Open Institute of Technology (OPIT) is a new concept in higher education that aims to equip people for a fast-changing work landscape characterized by rapidly evolving technology. This goes beyond deep training in trending technologies such as artificial intelligence (AI) and cybersecurity to reframing our approach to work and how we envision the future of work.
As part of that ongoing discussion, Stefania Tabi from OPIT Career Services sat down with Matteo Roversi, Co-Founder and Chief Community Officer at Cosmico, to talk about how we need to reframe our approach to work to thrive in the future workplace.
Founded in 2020, Cosmico is an Italian-based talent platform that uses AI-powered technology to connect talent – currently a pool of more than 27,000 independent professionals – with the businesses that need them, including many of Europe’s biggest companies. The platform uses AI for talent screening, matching, and recommendations, as well as to assess coding skills. This can reduce the time from request to screening, interview, proposal, and kick-off to between 24 and 72 hours, letting businesses move faster.
New Rules
Matteo started by discussing the aspects of the work landscape that have fundamentally changed over the last decade, and how this is forcing us to reframe our approach to standing out in the workplace.
CV to Reputation
He explained that while for many potential employees, the main concern used to be populating your CV with the relevant skills and experience to land your next job, that is becoming increasingly meaningless. AI can be used to tailor your CV exactly to what a job description wants, bearing in mind that the description was probably also written by AI and will be assessed by AI. As a result, matching CVs to job descriptions has become an increasingly unreliable way to find desirable candidates.
This has shifted the focus to reputation, as it is increasingly important that people are familiar with your work and know people who can recommend you to get your foot in the door.
Execution to Agency
It used to be that your objective was fulfilling the tasks on a job description, which required intelligence and experience, but not necessarily a significant amount of self-direction. That is changing as new ways of solving problems continue to emerge. Today, businesses want employees who have agency and take the initiative to solve problems. In a way, today, everyone needs the self-starter mindset of an entrepreneur.
Specialization to Deep Generalism
In recent years, the work landscape has been about specialization in specific fields and technologies. But Matteo explained how that focus is disappearing. Technology is moving so quickly that specialist software, coding languages, and algorithms are becoming obsolete, or the work previously required is being automated through AI.
Therefore, today, instead of a focused specialization, applicants need deep generalism, with not only a broad understanding of the technological landscape but a deep understanding of how technology can be leveraged to connect different fields of work, solve problems, and judge decisions.
Hours to Progression
The trend of moving away from paying for hours worked to the product being delivered will only become more pronounced, Matteo explained. Things that once took hours can now be delivered within minutes, but that doesn’t necessarily diminish the value of that delivery.
He explained how we need to think of ourselves as mind athletes. For instance, a sprinter may compete for a little over 10 seconds in their principal race, but they spend vast amounts of time in deep training. This is what professionals must do now: invest in their knowledge base so that they can deliver. As an extension of this, just like athletes, professionals need to focus on recovery. No one is a machine, and we cannot be delivering constantly.
Compete to Create
Matteo explained how the workplace mindset has long been one of competition, with talent competing for a finite number of jobs. But as jobs disappear and emerge rapidly, the field of competition changes significantly, and the market no longer feels finite. He also suggested that the best way to find the job that you want is to create it, rather than wait for someone else to make it for you (and then compete for it).
Taking Charge of Your Career
Having looked in detail at how the work landscape is changing, Matteo then shifted gears and shared his best advice for creating the job that you want.
Shift to AI Mode
He started by pointing out that you need to leverage the available technology to stay competitive, especially AI. But you have to do this in a way that increases your productivity and enhances the value of your contribution. He suggests that people embrace and test technologies and automate where possible by delegating. But delegating should go beyond simple tasks to orchestrating processes. When this is in place, you can reshape your vision of your contribution by identifying what you do that machines cannot replicate.
Build Your Work Stack
Once you have identified your value, Matteo explains how to reform what you offer. Start by thinking of yourself as a company rather than a job description. Don’t tell people what you do, but tell them the problems that you solve. Once this is in place, you can build your presence and your audience by making yourself accessible, both online and offline. This helps you grow your network by actively seeking mentors and peers.
Write Daily, Ship Weekly, Share Always
Matteo emphasized that work must be public to build your reputation, an important factor already discussed in his review of the work landscape. To this end, he suggests writing daily, which means spending at least 15 minutes a day focused on your problem. This should result in something you can “ship” every week to maintain your visibility, and always share to build your profile.
Level Up Your Purpose
Matteo agreed with the advice that to thrive in your work, you need to have purpose, but also agreed with the suggestion that people who say to follow your passion are usually already rich and have a safety net in place for failure. He suggested that your purpose changes according to your circumstances and that you should aim to cycle through these different phases.
- Survival – When you need to pay your bills, you need to find clients and sell your work
- Status – Once you have a stable base, you can focus on gaining recognition for your work and attracting clients to you
- Creativity – While many people stop at the status phase, this is the moment to stretch yourself and push out of your comfort zone to do something new
- Contribution – This is the ultimate phase when you can scale up the impact of your work
Preparing for the Future of Work With OPIT
One theme that came through clearly in Matteo’s discussion was the importance of investing in yourself. This is because you are no longer simply being asked to fulfill a job description; you need to frame yourself as a problem-solver who adds value. In today’s work landscape, this means understanding tech trends and their impact on the business landscape. Making that leap can start with OPIT. We offer bachelor’s courses for those looking to build a strong technical foundation and master’s courses for professionals looking to reframe their value proposition.
Discover OPIT’s accessible and fit-for-purpose programs today.
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From the same author
Read the articleSource:
- Times of Malta, published on September 18th, 2025
4 min read
The gathering brought together academics and technology leaders from prominent European Institutions, such as Instituto de Empresa (IE University), OPIT itself and the Royal College of Arts, to explore how artificial intelligence is reshaping the university experience.
The OPIT AI Copilot has been trained on the institute’s complete academic archive, a collection created over the past three years that includes 131 courses, more than 3,500 hours of recorded lectures, 7,500 study resources, 320 certified assessments, and thousands of exercises and original learning documents.
Unlike generic AI tools, the Copilot is deeply integrated with OPIT’s learning management system, allowing it to track each student’s progress and provide tailored support.
This integration means the assistant can reference relevant sources within the learning environment, adapt to the student’s stage of study, and ensure that unreleased course content remains inaccessible.
A mobile app is also scheduled for release this autumn, that will allow students to download exercise and access other tools.
During examinations, the Copilot automatically switches to what the institute calls an “anti-cheating mode”, restricting itself to general research support rather than providing direct answers.
For OPIT’s international community of 500 students from nearly 100 countries, many of whom balance studies with full-time work, the ability to access personalised assistance at any time of day is a key advantage.
“Eighty-five per cent of students are already using large language models in some way to study,” said OPIT founder and director Riccardo Ocleppo. “We wanted to go further by creating a solution tailored to our own community, reflecting the real experiences of remote learners and working professionals.”
Tool aims to cut correction time by 30%
The Copilot will also reduce administrative burdens for faculty. It can help grade assignments, generate new educational materials, and create rubrics that allow teachers to cut correction time by as much as 30 per cent.
According to OPIT, this will free up staff to dedicate more time to teaching and direct student engagement.
At the Milan event, Rector Francesco Profumo underlined the broader implications of AI in higher education. “We are in the midst of a deep transformation, where AI is no longer just a tool: it is an environment that radically changes how we learn, teach, and create,” he said.
“But it is not a shortcut. It is a cultural, ethical, and pedagogical challenge, and to meet it we must have the courage to rethink traditional models and build bridges between human and artificial intelligence.”
OPIT was joined on stage by representatives from other leading institutions, including Danielle Barrios O’Neill of the Royal College of Art, who spoke about the role of AI in art and creativity, and Francisco Machin of IE University, who discussed applications in business and management education.
OPIT student Asya Mantovani, also employed at a leading technology and consulting firm in Italy, gave a first-hand account of balancing professional life with online study.
The assistant has been in development for the past eight months, involving a team of OPIT professors, researchers, and engineers.
Ocleppo stressed that OPIT intends to make its AI innovations available beyond its own institution. “We want to put technology at the service of higher education,” he said.
“Our goal is to develop solutions not only for our own students, but also to share with global institutions eager to innovate the learning experience in a future that is approaching very quickly.”
Read the articleFrom personalization to productivity: AI at the heart of the educational experience.
Click this link to read and download the e-book.
At its core, teaching is a simple endeavour. The experienced and learned pass on their knowledge and wisdom to new generations. Nothing has changed in that regard. What has changed is how new technologies emerge to facilitate that passing on of knowledge. The printing press, computers, the internet – all have transformed how educators teach and how students learn.
Artificial intelligence (AI) is the next game-changer in the educational space.
Specifically, AI agents have emerged as tools that utilize all of AI’s core strengths, such as data gathering and analysis, pattern identification, and information condensing. Those strengths have been refined, first into simple chatbots capable of providing answers, and now into agents capable of adapting how they learn and adjusting to the environment in which they’re placed. This adaptability, in particular, makes AI agents vital in the educational realm.
The reasons why are simple. AI agents can collect, analyse, and condense massive amounts of educational material across multiple subject areas. More importantly, they can deliver that information to students while observing how the students engage with the material presented. Those observations open the door for tweaks. An AI agent learns alongside their student. Only, the agent’s learning focuses on how it can adapt its delivery to account for a student’s strengths, weaknesses, interests, and existing knowledge.
Think of an AI agent like having a tutor – one who eschews set lesson plans in favour of an adaptive approach designed and tweaked constantly for each specific student.
In this eBook, the Open Institute of Technology (OPIT) will take you on a journey through the world of AI agents as they pertain to education. You will learn what these agents are, how they work, and what they’re capable of achieving in the educational sector. We also explore best practices and key approaches, focusing on how educators can use AI agents to the benefit of their students. Finally, we will discuss other AI tools that both complement and enhance an AI agent’s capabilities, ensuring you deliver the best possible educational experience to your students.
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Go to all authors
Related posts
Source:
- Times of Malta, published on September 18th, 2025
4 min read
The gathering brought together academics and technology leaders from prominent European Institutions, such as Instituto de Empresa (IE University), OPIT itself and the Royal College of Arts, to explore how artificial intelligence is reshaping the university experience.
The OPIT AI Copilot has been trained on the institute’s complete academic archive, a collection created over the past three years that includes 131 courses, more than 3,500 hours of recorded lectures, 7,500 study resources, 320 certified assessments, and thousands of exercises and original learning documents.
Unlike generic AI tools, the Copilot is deeply integrated with OPIT’s learning management system, allowing it to track each student’s progress and provide tailored support.
This integration means the assistant can reference relevant sources within the learning environment, adapt to the student’s stage of study, and ensure that unreleased course content remains inaccessible.
A mobile app is also scheduled for release this autumn, that will allow students to download exercise and access other tools.
During examinations, the Copilot automatically switches to what the institute calls an “anti-cheating mode”, restricting itself to general research support rather than providing direct answers.
For OPIT’s international community of 500 students from nearly 100 countries, many of whom balance studies with full-time work, the ability to access personalised assistance at any time of day is a key advantage.
“Eighty-five per cent of students are already using large language models in some way to study,” said OPIT founder and director Riccardo Ocleppo. “We wanted to go further by creating a solution tailored to our own community, reflecting the real experiences of remote learners and working professionals.”
Tool aims to cut correction time by 30%
The Copilot will also reduce administrative burdens for faculty. It can help grade assignments, generate new educational materials, and create rubrics that allow teachers to cut correction time by as much as 30 per cent.
According to OPIT, this will free up staff to dedicate more time to teaching and direct student engagement.
At the Milan event, Rector Francesco Profumo underlined the broader implications of AI in higher education. “We are in the midst of a deep transformation, where AI is no longer just a tool: it is an environment that radically changes how we learn, teach, and create,” he said.
“But it is not a shortcut. It is a cultural, ethical, and pedagogical challenge, and to meet it we must have the courage to rethink traditional models and build bridges between human and artificial intelligence.”
OPIT was joined on stage by representatives from other leading institutions, including Danielle Barrios O’Neill of the Royal College of Art, who spoke about the role of AI in art and creativity, and Francisco Machin of IE University, who discussed applications in business and management education.
OPIT student Asya Mantovani, also employed at a leading technology and consulting firm in Italy, gave a first-hand account of balancing professional life with online study.
The assistant has been in development for the past eight months, involving a team of OPIT professors, researchers, and engineers.
Ocleppo stressed that OPIT intends to make its AI innovations available beyond its own institution. “We want to put technology at the service of higher education,” he said.
“Our goal is to develop solutions not only for our own students, but also to share with global institutions eager to innovate the learning experience in a future that is approaching very quickly.”
From personalization to productivity: AI at the heart of the educational experience.
Click this link to read and download the e-book.
At its core, teaching is a simple endeavour. The experienced and learned pass on their knowledge and wisdom to new generations. Nothing has changed in that regard. What has changed is how new technologies emerge to facilitate that passing on of knowledge. The printing press, computers, the internet – all have transformed how educators teach and how students learn.
Artificial intelligence (AI) is the next game-changer in the educational space.
Specifically, AI agents have emerged as tools that utilize all of AI’s core strengths, such as data gathering and analysis, pattern identification, and information condensing. Those strengths have been refined, first into simple chatbots capable of providing answers, and now into agents capable of adapting how they learn and adjusting to the environment in which they’re placed. This adaptability, in particular, makes AI agents vital in the educational realm.
The reasons why are simple. AI agents can collect, analyse, and condense massive amounts of educational material across multiple subject areas. More importantly, they can deliver that information to students while observing how the students engage with the material presented. Those observations open the door for tweaks. An AI agent learns alongside their student. Only, the agent’s learning focuses on how it can adapt its delivery to account for a student’s strengths, weaknesses, interests, and existing knowledge.
Think of an AI agent like having a tutor – one who eschews set lesson plans in favour of an adaptive approach designed and tweaked constantly for each specific student.
In this eBook, the Open Institute of Technology (OPIT) will take you on a journey through the world of AI agents as they pertain to education. You will learn what these agents are, how they work, and what they’re capable of achieving in the educational sector. We also explore best practices and key approaches, focusing on how educators can use AI agents to the benefit of their students. Finally, we will discuss other AI tools that both complement and enhance an AI agent’s capabilities, ensuring you deliver the best possible educational experience to your students.
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