{"id":1947,"date":"2025-12-01T14:01:47","date_gmt":"2025-12-01T14:01:47","guid":{"rendered":"https:\/\/academy.xebia.com\/ch\/?p=1947"},"modified":"2025-12-01T14:48:50","modified_gmt":"2025-12-01T14:48:50","slug":"from-hype-to-reality-whats-really-changing-in-the-swiss-job-market","status":"publish","type":"post","link":"https:\/\/academy.xebia.com\/ch\/2025\/12\/01\/from-hype-to-reality-whats-really-changing-in-the-swiss-job-market\/","title":{"rendered":"From Hype to Reality: What’s Really Changing in the Swiss Job Market"},"content":{"rendered":"\n
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\n\t\n\tFrom Hype to Reality: What’s Really Changing in the Swiss Job Market<\/h1><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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\n\tThe launch of our new Xebia Academy website provides an opportunity to reflect on our values: helping professionals to navigate an uncertain and rapidly changing world. Our aim is to provide more than just skills training; we want to create clarity in times of hype and disruption.
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The past 18 months have demonstrated just how quickly market dynamics can change. Entire sectors are being reshaped, putting pressure on organisations and individuals alike to adapt. New technologies like AI, alongside regulatory change and global uncertainty, are prompting companies to reconsider their strategies.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\tRather than making predictions, this blog offers reflections that may help you understand where the worlds of work and learning are heading.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\t1 December, 2025<\/p><\/div>\n\n\n

\n\t\t\n\n\t\n\t\n\t\n<\/picture>\t\t\n\tBruno Schenk<\/h2>\t\t

\n\tHead of Business Development<\/p>\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\t\n\tMarket Observation #1: From Generalists to Niche Experts<\/strong><\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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\n\tOne of the clearest changes in the Swiss job market is a sharp move away from broad generalist roles.\u00a0Companies are hiring fewer “all-rounders” and looking instead for people with very specific, in-demand skills.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\tThis shift is especially visible in IT and consulting, where traditional roles are shrinking under the pressure of automation and AI. In parallel, targeted openings in data and AI-driven fields are on the rise, supported by new academic programmes that address emerging skill gaps.
Supporting Signals Include:<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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  • 31% drop in IT job postings<\/strong>\u00a0<\/a>in Switzerland in H1 2025, driven by automation and AI.<\/li>
  • PwC\u2019s AI Jobs Barometer<\/strong><\/a>: AI-related job postings grew tenfold between 2018 and 2022, dipped in 2023, and rebounded to ~20,000 in 2024.<\/li>
  • Universities launching CAS programmes<\/strong>\u00a0in AI and digital business to close emerging gaps.<\/li>
  • Rapidly evolving AI roles<\/strong>:<\/a>\u00a0skills in these positions need updating 66% more often than in less AI-intensive jobs, with a net skill update rate of 138%.<\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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    \n\tWhat I am saying is that\u00a0specialisation pays off<\/strong>. Building depth in a specific area is no longer optional; it is essential for long-term employability and career resilience.\u00a0<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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    \n\t\n\tMarket Observation #2: AI\u2019s Promise vs. Reality<\/strong><\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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    \n\tArtificial intelligence dominates conversations about the future of work, but its adoption is far from seamless. Many organisations invest heavily in pilots yet struggle to scale them profitably. A recent\u00a0McKinsey study<\/a>shows the challenge clearly:\u00a042% of AI initiatives are abandoned before reaching the production stage, which is an increase from 17% the previous year.\u00a0<\/strong>Gartner<\/a>\u00a0refers to this stage as the\u00a0‘trough of disillusionment’<\/em>\u00a0\u2014 a period during which inflated expectations are met with early setbacks, before the technology matures.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

  • 52% of Swiss organisations<\/strong>\u00a0<\/a>already use AI agents to automate entire business processes (vs. 46% globally and 43% in Europe).<\/li>
  • 86% of Swiss employees<\/strong>\u00a0<\/a>report using AI, yet\u00a076% fear job losses<\/strong>\u00a0because of it; 43% are worried about their own role (EY, 2025).<\/li>
  • Upskilling gap<\/strong><\/a>: Only 28% of employees are satisfied with AI training, even though 61% are actively seeking it.<\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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    \n\tAs we can see,\u00a0the challenge lies not in acquiring AI, but in scaling it effectively<\/strong>. Success depends on developing the necessary skills, structures and learning opportunities to create lasting value. The next 12\u201318 months will be crucial in determining whether organisations achieve genuine transformation or remain trapped in a cycle of stalled experimentation.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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    \n\t\n\tMarket Observation #3: From Information Overload to Actionable Knowledge<\/strong><\/strong><\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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    \n\tIf the job market is about who gets hired, the daily reality of work is about how professionals use information. And here, AI is changing the game.
    AI tools generate content at scale, but much of it is generic. The task for professionals is to make outputs\u00a0relevant, contextual, and actionable<\/strong>.\u00a0That requires two abilities:<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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  • Distinct expertise<\/strong>: adding domain knowledge to transform AI outputs into trustworthy information.<\/li>
  • Information curation:<\/strong>\u00a0filtering and framing knowledge so teams can act with clarity.<\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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    \n\tWithout these skills, organisations risk being overwhelmed by content while failing to create value.
    Additionally, a new risk is emerging: the \u201cAI learns from AI<\/strong>\u201d feedback loop. As machine models increasingly consume AI-generated outputs rather than human-created knowledge, the danger grows of:<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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  • Dilution of originality<\/strong>: more repetition, less true innovation.<\/li>
  • Erosion of trust<\/strong>: if AI amplifies its own mistakes.<\/li>
  • Higher demand for human expertise<\/strong>: to inject context, creativity, and lived experience.<\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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    \n\tIn conclusion, while AI can process large amounts of information, only humans can ensure its relevance.\u00a0The winners will be those who combine the power of AI with human insight, producing not just more information, but better information.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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    \n\t\n\tFour Moves to Stay Ahead<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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    \n\t\n\t01<\/h2>

    \n\tStart<\/strong>
    Understand what AI can and cannot do, and how it applies to your own role.<\/p><\/div>\n\n

    \n\t\n\t02<\/h2>

    \n\tStop<\/strong>
    Chasing certifications for their own sake.\u00a0While credentials are useful, context is critical.<\/p><\/div>\n\n

    \n\t\n\t03<\/h2>

    \n\tMonitor<\/strong><\/strong>
    How your company and its suppliers approach upskilling. Application modernisation and AI readiness will be key to competitiveness over the next two years.<\/p><\/div>\n\n

    \n\t\n\t04<\/h2>

    \n\tChange Your Mindset<\/strong><\/strong><\/strong>
    Do not try to learn everything. Focus on the practical knowledge that you can apply in your day-to-day life.<\/p><\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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    \n\t\n\tLooking Ahead: The Fast Lane Belongs to the Bold<\/strong><\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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    \n\tThe changes we see today are only the beginning. In the next two years, organisations will be tested on whether they can modernise fast enough to use AI at scale. For individuals, the challenge will be to learn faster, more selectively, and more purposefully than ever.\u00a0<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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    \n\tIn a workplace defined by acceleration,\u00a0relevance will be the currency of success<\/strong>.\u00a0After all, the pace of change isn\u2019t slowing \u2014 it\u2019s accelerating. It is those who look ahead, embrace specialisation, and adapt to change who will not only keep up with the market, but stay ahead of it.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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    \n\t\n\n\t\n\t\n\t\n<\/picture>\n\tAbout Xebia Academy<\/h2>

    \n\tAt Xebia Academy, we believe that learning is the most effective way to ensure the long-term success of both individuals and organisations.\u00a0Our mission is to help professionals develop the clarity of vision and skills needed to thrive in times of hype, disruption and transformation.

    Through our hands-on courses in AI, the cloud, cybersecurity and leadership, we focus on what truly matters: turning knowledge into impact. With our new Academy platform, Swiss professionals and organisations can access guided learning journeys that are aligned with today’s business realities.<\/p>\n\t\n\t\t\tContact Us<\/span>\n\t\n\t<\/a>\n\t

    \n\t\t\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":113,"featured_media":1949,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"tags":[77],"class_list":["post-1947","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","tag-outlook-2026"],"acf":[],"_links":{"self":[{"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/posts\/1947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/users\/113"}],"replies":[{"embeddable":true,"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/comments?post=1947"}],"version-history":[{"count":13,"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/posts\/1947\/revisions"}],"predecessor-version":[{"id":2110,"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/posts\/1947\/revisions\/2110"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/media\/1949"}],"wp:attachment":[{"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/media?parent=1947"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/academy.xebia.com\/ch\/wp-json\/wp\/v2\/tags?post=1947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}