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Tag: KI

Events and workshops in futures research and foresight

In a rapidly changing world, it is essential for companies not only to rest on their laurels but to actively shape the future. Themis Foresight, a leading think tank in the field of corporate foresight, offers precisely this opportunity. With our specialized events, known as Future Labs, we enable companies to take a deep dive into the possible futures of their industry and tap into new business potential in the long term.

The role of Future Labs in shaping the future

In our Future Labs, we present our research on topics such as the future of industry, future technologies such as AI or quantum computing or our knowledge of studies on future geopolitical developments. One of our experts will present key trends, developments and scenarios, which we will then discuss with participants from various industries. These public Future Labs have been very popular in the past. Participants acquire futures literacy skills by dealing with these topics.

The next dates:

June 18, 2024 – Stuttgart – The future of industry and industrial work

We are also happy to organize a Future Lab specifically for your company, your region, your industry or your strategy. We use practical methods such as future wheels, backcasting and the futures triangle to make complex future scenarios tangible. These methods enable participants to develop innovative visions of the future, scenarios and technology and business model roadmaps.

Our expertise and your benefits

Themis Foresight supports DAX companies and hidden champions in key sectors such as energy, mobility, food, financial services, ICT and logistics in all matters relating to the future. Our experience shows that many managers lack the time to deal with possible futures. This is precisely where our services come in: We not only offer insights into decisive and possible developments in the coming decades, but also identify social, economic and technological drivers that will transform business models and industries. Our in-depth understanding of business models and our experience working with executives will help guide your company into the future.

Science meets practice

Themis Foresight’s futures research is unique in that it combines science-based research with practical futures expertise and entrepreneurial design options. Our strategies are realistic and practicable, geared towards human needs and economic necessities and prepare the ground for economic, political and legal change.

Future Lab – Artificial intelligence in companies

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    Themis Foresight
  • September 2023
  • News

Die Teilnehmer des Future Labs zum Thema KI © Themis Foresight | Gili Shani

Am 20. September fand im wunderschönen PalaisPopulaire eine hochkarätige Veranstaltung statt, die sich mit einem der zentralen Themen unserer Zeit befasste: Künstliche Intelligenz (KI) in Unternehmen. Unter der Reihe “Future Lab” lud Themis Foresight mit Unterstützung ihrer Partner, der Alfred Herrhausen Gesellschaft, Dataciders und irisnet, Führungskräfte aus dem D-A-CH-Raum zu einer tiefgründigen Debatte über die Zukunft der KI und deren Auswirkungen auf Unternehmen ein. Die Veranstaltung war ein großer Erfolg und brachte eine Vielzahl von Expert:innen zusammen, um Erkenntnisse zu teilen und die drängenden Fragen rund um die KI zu diskutieren.

Die Diskussionen auf der Veranstaltung wurden durch den jüngsten Vorstoß der Europäischen Union in Sachen Künstliche Intelligenz, den sogenannten “European AI Act,” angestoßen. Dieses Gesetzespaket hat die Debatte über die europäische Wettbewerbsfähigkeit und technologische Souveränität im Bereich der KI neu entfacht. Die Meinungen darüber, wie KI reguliert werden sollte, gehen weit auseinander. Während einige europäische Unternehmerinnen und Unternehmer in einem offenen Brief für allgemeine Grundsätze und flexible Regulierung plädieren, argumentieren Vertreter US-amerikanischer Tech-Riesen für striktere Vorschriften im Namen der Sicherheit.

Ein Höhepunkt der Veranstaltung war zweifellos die Vielfalt der Experten, die ihr Wissen und ihre Erkenntnisse teilten:

Daniel Abbou berichtete aus seiner Arbeit im KI-Bundesverband und warnte vor den möglichen negativen Auswirkungen des European AI Act auf die deutsche Start-up-Szene.

Joanna Bryson gab einen erfrischenden Einblick in die vielschichtige Natur von KI und betonte, dass es bei KI nicht nur um Algorithmen und Daten geht, sondern auch um die zugrunde liegende Infrastruktur.

Frank Thelen teilte in seiner Grußbotschaft seine Gedanken zur Regulierung von KI und wie diese die Zukunft der Technologie bremsen könnte, ethische Berücksichtigungen aber dennoch notwendig seien.

Stefan Suwelack beleuchtete die Herausforderungen von KI aus organisatorischer Sicht und betonte, dass der technologische Fortschritt mit einer klaren organisatorischen Strategie einhergehen muss.

Christian Frauen präsentierte Einblicke in die Anwendung von KI in der Finanzberichterstattung, ESG, Audit und Risikomanagement.

Gero Presser unterstrich die Bedeutung eigener Daten und erklärte, warum ein dezentraler Ansatz bei der Datennutzung ein Vorteil sein kann.

Dieter Plassmann ermöglichte den Teilnehmern einen praxisnahen Einblick in die Funktionsweise von KI und zeigte beeindruckende Anwendungsfälle mit der Technologie irisnet auf.

Jan Berger und Carina Stöttner, beide Geschäftsführer von Themis Foresight, teilten ihre Gedanken zu KI, der oft übertriebenen Vorstellung von einer Superintelligenz und der ethischen Dimension von KI.

Ein Learning dieser Veranstaltung war die Erkenntnis, dass KI nicht nur technologische Expertise erfordert, sondern auch eine klare digitale Kompetenz im Management. Daten müssen nicht zwangsläufig in riesigen “Data Lakes” liegen, sondern können in gut organisierten “Data Meshes” verwaltet werden. Die Zusammenarbeit von Mitarbeitern wird zunehmend vernetzt sein, und Unternehmen sollten nicht zögern, KI-Projekte mit den vorhandenen Daten und den besten Mitarbeitern anzugehen. Es liegt in der unternehmerischen Verantwortung, Impulse für KI-Projekte zu setzen, die Finanzierung sicherzustellen und die notwendigen Rahmenbedingungen für die Umsetzung zu schaffen. Schließlich müssen Unternehmenswerte, Nachhaltigkeitsziele und ethische Prinzipien im Vorfeld festgelegt werden, da diese in jedem KI-Modell mitschwingen und verbreitet werden.

Die Veranstaltung setzte einen wichtigen Beitrag zur Diskussion über die Zukunft der KI und ihre Regulierung in Europa. Es bleibt spannend zu beobachten, wie sich diese Debatte weiterentwickeln wird und welchen Einfluss sie auf die Innovationslandschaft haben wird.

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Welche Future Skills braucht Ihr Unternehmen?

Wussten Sie, dass die Ausbildung einer Fachkraft bis zu 10 Jahre dauern kann? Wir erarbeiten konkret für Ihre Branche und Ihren Fachbereich, welche relevanten zukünftigen Fähigkeiten und Fertigkeiten Sie in Zukunft benötigen und schon heute im Unternehmen ausbilden oder einstellen sollten.

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AI and skills shortage

In our Future Lab last week, Dr. Bettina Volkens, former Lufthansa’s Chief Human Resources Officer stated that HR must be given a higher priority at Executive Board level. One thing is clear: the labor market is facing major changes and the shortage of skilled workers will be with us for some time to come. There will be a shortage of several million workers in the next decade. It is therefore clear that HR must be given greater attention in companies. However, current measures to combat the shortage of skilled workers are only superficially effective. They ignore the real problem: the fish in the pond are getting fewer. Many companies are backing the wrong trend horses instead of freeing up existing manpower through automation and a clearer focus.

In this white paper, you will learn about the consequences of integrating AI into work processes and which aspects your HR department needs to be aware of.

False trend horses

In the next 12 years, 7 million people or 15% will leave the German labor market. If the demand for labor did not change by then, in 2035 companies would be competing against each other for employees in a labor market that is permanently understaffed by 10%. Things will certainly change, but the question is how?

Over the past few months, we have repeatedly looked at what traditional recruitment consultancies recommend to their clients:

  • “Recruiting must adapt to the labor shortage.”
  • “The home office is here to stay.”
  • “You can differentiate yourself from the competition with additional services.”
  • “Employer branding will play a decisive role in retaining and attracting employees.”
  • “New Work”

In our Future Labs, we talk about the wrong trend horses. Spend a day exchanging ideas with executives from other sectors on a focus topic.

This current “wisdom” is not wrong, but it is blind to the real iceberg. Working from home may be here to stay in some areas of activity, but even in the times of Covid lockdowns, it was not a solution for working in production. Machines often do not load and repair themselves. Employer branding is certainly a helpful tool to make your own company shine in the job market. But you won’t be the only ones trying to attract skilled workers by this means. With up to 7 million workers missing, the pond we are fishing in is empty. You may be casting out tasty bait, but where there are no fish, there are no bites.

Even the much-vaunted “New Work” is not a recipe that promises success to companies that are in international competition. For two reasons:

1) When New Work was conceived over 40 years ago, the problem it was trying to solve was quite different. The first Centers for New Work in Detroit in the 1980s attempted to solve the problem of mass unemployment caused by mass redundancies in the car industry, which had been hit by the oil crisis. That is the opposite of the current situation!

2) The medicine administered by Frithjof Bergmann and his fellow campaigners was an economic model of communal self-sufficiency – in a sense a further development of the ideas of the 19th century Russian anarchist Mikhail Bakunin, who fought industrialization. Such economic models can work and require suitable working models. But the shoe does not fit for industrial giants such as Siemens, Volkswagen or Bayer or the many hidden champions and SMEs in the German economy.

Calls to relax the rules on labor migration are also not wrong in themselves. But in many cases, these are also based on fiction. After all, demographic change is not a German phenomenon. The whole of Europe is ageing. China is ageing faster than Germany. Africa is the only continent that is creating new generations in the long term. You may also have read that the Tesla plant near Berlin is still 5,000 workers short. The majority of these were to come from Poland. But this calculation does not work out.

Automation of manual and manual labor

A more promising approach is the consistent automation of all repetitive activities. There has been massive progress in these areas in recent years! We only have to look at the images of packaging robots in warehouses or fly a drone through the Gigafactory Grünheide to imagine a working world of tomorrow with more robots than people. The fact that this makes a great deal of economic sense is well explained by Christoph Krachten in this article.

The hype surrounding ChatGPT in recent months also clearly demonstrates which activities that until recently were seemingly “forever” in the human domain can now be carried out by algorithms with a high degree of efficiency. The potential to free up manpower, or rather to compensate for a lack of manpower, is enormous. And it is worthwhile for companies to think in precisely this direction. Does it still make sense to assign ten FTEs to create texts or slide sets, or will you soon integrate these activities into your daily work routine in the same way as telephoning, typing or e-mails?

Our offers on AI and work

  • If you are interested in exploring these topics with us and thinking about approaches that go beyond employer branding and new work, then you are welcome to come to our Future Lab on September 20 in Berlin on AI in the world of work.
  • Worth reading is this white paper in which we shed light on the increasing fusion of human and machine activities. How will robotics and artificial intelligence enhance human resources in companies? What other human skills will play a role in the future? What considerations do companies need to make with regard to their workflows when integrating AI?
  • If you are already using AI or are planning to integrate an AI system, our AI masterclass to get all relevant employees on board.
  • Whether compliance, data protection or external auditors. The use of AI in companies requires ethical guidelines. For internal and external audits: Download our AI checklist. What is missing from your AI ethics guidelines?

The use of such technologies requires:

New skills and competencies

If they take the path of consistent automation of their production and office activities, they will not be forced to look for skilled workers in an overfished labor market. Instead, they train your employees today for activities that will be the norm in 2, 5, 10 and 15 years’ time. What these activities look like can already be described today. This is because the challenges and consequences of new technologies can be seen long before they are ready for series production. In our Future Lab on Future Skills and the Future of Work last week, we discussed with executives that knowledge will become less important in the coming decades, but that the right attitude, such as curiosity or an employee’s willingness to learn, will be increasingly in demand.

In a project at the beginning of 2017, in which we also investigated the interaction between humans and artificial intelligence, we stumbled across the problem that AI is full of prejudices and that sooner or later we will be forced to develop AI that respects and complies with corporate values. We didn’t know what this activity would be called in the future and gave it the name “AI Whisperer”. But we were able to anticipate very accurately what methods people will use in this job, what iterations of technology they will use, who they will communicate with, how they will be tied to their company and what their needs will be. In this project, we designed over a dozen future job profiles in white collar and blue collar areas and were very pleased that the required skills and competencies were subsequently rolled out in two training programs for employees of the company.

Some of these findings were incorporated into our book “The Future of AI in Talent Management”. Another excellent book on this topic is “Employability Management 5.0” with a collection of excellent articles on continuous learning.

The future role of HR

If the working world of tomorrow turns out as outlined above, then the role of HR work will also change. Because then it is important to orchestrate the interaction between humans, robots and algorithms. Just recently, a COO told me about a great machine that his company had purchased. Unfortunately, it had the shortcoming that its programming language was so complicated that only very few people were able to learn it. And there are always production downtimes because the few employees who can program the machine are absent from time to time due to illness or vacation. If this machine had been human, would you have hired it?

In the future, HR departments in companies will have a much greater decision-making role when it comes to purchasing machines and algorithms. The problem with the machine mentioned above is easy to solve. Low-code applications that enable people to create programs by rearranging process pictograms, for example, and leaving the actual programming to an engine already exist today. In future, the manufacturer of this great machine will have no choice but to deliver a low-code application with its machine. HR will specify what this low-code application should look like.

The same applies to the selection of algorithms. If your company is committed to diversity, fairness and equal opportunities, then algorithms must be able to live these values. HR will be able to formulate purchasing requirements better than your IT department.

Get rid of the bullshit jobs!

But there is another way to combat the shortage of skilled workers. And that is the consistent abolition of so-called bullshit jobs. In 2018, anthropologist David Graeber wrote a book on this subject that is well worth reading, in which he investigated how many superfluous activities there are in the private sector in particular. Not only would it make a lot of sense from a business point of view to do away with useless activities and free up the pool of well-trained employees for meaningful activities. It would also do away with the immense psychological violence that drives such employees into depression and anxiety. Graeber’s book is strongly influenced by his anarchist world view and should be read with caution in good parts. His recipe for an unconditional basic income comes with more problems than solutions. But that said, take a look around your company after reading this book and consider how many employees are engaged in meaningless activities that offer no economic or social added value.

At the beginning of the year, I read that the Federal Network Agency was looking for a fax service provider to fax 3-4,000 incoming and outgoing pages per month for the next 1-5 years (!!!). I don’t know which is more perverse. That such nonsense is paid for with taxpayers’ money? Or that there are companies that torment people for years by sending and receiving thousands of faxes a month?

Isn’t it time to free human labor from bureaucratic nonsense and unleash the qualities that no machine or algorithm possesses for the innovations we so urgently need? Only humans possess: Creativity, originality, metacognition, imagination, consciousness and self-awareness, sociability, empathy and curiosity.

We look forward to stimulating discussions with you.


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