You are 58, sitting in a role that has become increasingly strange to you. For thirty years you have been the person large Swedish companies call when they want to think seriously about innovation. You have the engineering foundation from KTH that gives you credibility in the boardrooms and factory floors of Atlas Copco, SKF, Alfa Laval, Skanska. You speak the language of systems, constraints, capital, and risk in a way that feels native because it is - you have lived it. You are patient with executives who are anxious about disruption and with younger people trying to advance ideas. You listen more than you talk, which is rarer in a room full of people paid to have opinions. In the evenings, you paint. Oils mostly - landscapes, some figurative work, things that have nowhere to go but the studio walls or a local gallery. You are not famous. You have exhibited. The work matters to you in a way that nothing else in your professional life quite does. You would not say these things with the word "but" between them, the way people usually do when they have a dual life that should not hang together. Both practices - the advisory work and the painting - are practices of attention. You would spend five hours with a client mapping the terrain of their strategic problem, and five hours in the studio mixing ochre and deciding where a line should land, and feel like you had been doing the same kind of work. I should have told you what was coming. Not to warn you, but to tell you what your skills would be worth when the ground shifted.
1. What I know now that I did not know then
Innovation-consulting frameworks - the ones you had built your professional reputation on - became largely automatable between Q2 2026 and Q4 2027. Design thinking workshops, jobs-to-be-done analysis, lean-startup sprints, the diagnostic frameworks that structured how you worked with client teams: all of these were, it turned out, pattern-recognition and synthesis tasks. By the middle of 2027, generative AI could walk a client team through a design thinking process, generate the outputs, synthesise options, and do it in a day instead of a quarter. It was not as good as what you did. But it was good enough for the consulting work, and it cost ten percent of what Combient charged. The generic innovation consultant - and you had seen it coming, you told me you had seen it coming - was not going to be a viable role. The functions were not going anywhere. Companies still needed to think about innovation, still needed to navigate strategic change, still needed to avoid the trap of building yesterday's answers to tomorrow's questions. But they did not need the consultant framework any more. They needed something different.
Combient pivoted hard toward AI transformation advisory in Q1 2027, and the pivot was existential. The network was full of large Nordic industrials who suddenly needed help understanding what AI actually meant for their operations, their governance, their workforce, their capital allocation. Not strategy theatre. Not a six-month diagnostic followed by a slide deck that sat in a drawer. Real, visceral questions: how do we deploy this? What breaks? What do we need to buy? How do we organize the people? What risks do we actually face? The firms that pivoted to answer those questions survived. The firms that stayed in the old innovation-consulting model hollowed out. Combient, to its credit, saw what was coming and moved. The innovation practice - your practice - was absorbed into a larger narrative about AI transformation. The title changed. The seat at the table changed. The kind of person Combient needed changed.
Your engineering foundation became suddenly, unexpectedly valuable in a way it had not been during thirty years of pure advisory work. Combient had business advisors, strategy advisors, economists, consultants trained in the full range of corporate functions. What it had fewer of were people who could actually read an AI system, understand the computational constraints, translate between what an engineer was telling them and what a CFO needed to hear. You had spent three decades surrounding yourself with strategy and business thinking. You had never stopped being an engineer. When the firms that wanted to genuinely understand their AI infrastructure looked for advisors, the profile they wanted was someone exactly like you - engineer-first, advisory-practice-solid, credible in both the technical and executive conversations. Suddenly, you were not in competition with every business advisor in Stockholm. You were in a much smaller, much more valuable pool.
The First Autonomous Firm reached five hundred million euros in revenue in Q4 2027, and it reset what was possible with human headcount. A company with that kind of revenue might have twenty people instead of two hundred. The benchmark inverted. Your client companies - the large Swedish industrials - watched this happen and panicked. They had organisations built for a different economy. They had factories sized for human labour. They had sales teams that made sense when you needed people to sell. They had back-office functions that could not be automated until recently and could be automated by 2028. The conversation in every boardroom shifted. It was not "how do we innovate" any more. It was "how do we survive this transition without destroying the company in the process." That was where you became essential. Not because you had the answer - no one had the answer - but because you could sit with the fear. You could say the hard things in a way that did not feel like you were enjoying their discomfort. You could help them think through the actual structural changes they needed to make.
The EU AI Act came into full applicability in Q3 2026, and it created demand for AI governance advisory in sectors where you had decades of credibility. Industrial companies, financial services, companies handling critical infrastructure or personal data - these were the sectors that faced real regulatory pressure. They needed advisors who could translate regulatory requirements into operational changes. Your KTH credentials plus your track record with Swedish industrials plus your understanding of the corporate risk-management landscape: all of this suddenly mattered. The firms bidding to be your company's AI governance advisory partner needed to show experience in regulated sectors, engineering credibility, and the ability to talk to boards. You had all of these things. Younger consultants, no matter how sharp, did not.
The Swedish Compact - the public compute infrastructure and retraining pathways announced in Q3 2026 - created a new landscape for advisory work in 2027 onwards. The companies that thrived in 2027-2029 were the ones that understood both what the government had built and how to position themselves within it. Companies that could access public compute at scale while maintaining proprietary models. Companies that could navigate the policy-capital boundary. You had always been good at understanding large organisations and their incentives. The Swedish Compact extended that skill: you could help your clients understand how to work with policy infrastructure, where the genuine government funding was going, what the government actually cared about versus what was rhetorical. That is not something you learn in business school. You learn it from thirty years of watching how large institutions actually work.
AI image generation reached the point - around late 2027 - where technically proficient images could be generated in seconds. You knew this was coming. You talked about it in the studio. The question was what it meant for painting. Commercial illustration restructured almost overnight. Magazine covers, book illustrations, design-studio work - these shifted to generative systems because the economics no longer made sense for human painters at the rates publishers were willing to pay. Your work was not commercial illustration, but you could not ignore what was happening. The anxiety was real. And then something else happened, something that seemed paradoxical at first: hand-painted work, by identifiable practitioners, gained value. Not more value in absolute terms - the market for painting had not suddenly exploded. But relative value, compared to what generative systems could do. A painting by Pierre Larsson in Stockholm meant something different in 2028 than it had in 2026, precisely because there was now an alternative. The question for you was what painting meant to you, and whether that meaning would hold steady when the market redefined itself around you.
The people who could tell hard truths while still being gentle - advisors who could sit with clients through restructuring without making them feel judged - became unusually rare and valuable in advisory work from 2027 to 2030. Advisory is normally a relationship that lasts as long as the engagement. The consulting firm comes in, does the work, delivers the recommendations, and exits. But the period from 2027 to 2029 - the Redundancy Summer and the restructuring that followed - required different kinds of relationships. Companies were making genuinely difficult decisions about which people to keep, which functions to transform, which parts of the business to let go. They needed advisors who could help them think through these decisions without becoming either cynical or blindly optimistic. The consultants who treated this as a standard engagement, who delivered frameworks and left, did not build lasting relationships. The advisors who stayed present, who showed up again when the next crisis came, who could tell a CEO something unwelcome without making them feel incompetent - those advisors became trusted. That was you. I do not think you even registered that you were doing something rare. It was just how you were built. But it was exactly what the market needed.
2. What I got wrong about your situation
I assumed your innovation-specialist title would carry through the transition, either intact or with a modest refresh. It did not. The function was renamed, restructured, and absorbed into AI transformation work. Your role evolved substantially. But the thing I underestimated was how difficult the identity shift would be. In January 2026, you were still "the innovation expert." By late 2027, that title meant less. You were "the advisor we call when we need to understand AI transformation." These are different identities. I thought the work would matter more than the title, and it did. But I underestimated how much the title had become part of how you thought about yourself, and how much its reshaping would shake you, even though the underlying work was both more valuable and more aligned with who you actually were.
I underestimated how much the painting would need to matter once the professional identity got unstable. In 2026, I would have described painting as something you did in your spare time - important to you, but separate from your professional life. That framing was wrong. The hours in the studio were not separate from the professional work. They were what made the professional work possible. When the professional identity shifted - when the role you had held for thirty years stopped being quite what it had been - the studio became the place where you could still feel like yourself without equivocation. The commitment to the practice, the discipline, the willingness to spend five hours on a painting that almost no one would see: this was not decorative to your ability to weather the transition. It was structural. I should have told you to protect those hours more fiercely than you did, and to understand them not as indulgence but as infrastructure.
I missed how much your engineering foundation mattered in the restructured landscape. You had spent thirty years in the advisory world, thinking of yourself as an advisor first and an engineer second. But Combient did not have very many advisors with serious engineering chops. It had business people and consultants trained in corporate functions. The AI-transformation advisory world needed engineers who could also talk to boards. That was rarer. Your background was not quaint or residual. It was the thing that made you valuable when the conversation shifted. But you had to recognise it. You had to step back into the engineer identity at the moment when it would have been easier to double down on being the kind of advisor you had become.
3. What I should have told you to do, in order
In 2026 - early in the year
Start reframing your work explicitly as AI transformation advisory, not innovation consulting. This is not semantics. This is a move up the value chain and a move into the sectors where Combient's network is strongest. You already knew this was coming. You had told me you had seen it coming. The work was to say it aloud to the Combient leadership, to suggest that your practice should be anchored in helping industrial and engineering-heavy companies understand how to actually deploy AI, not just discuss it in a strategic way. That would have positioned you - and Combient - before the pivot was forced by market collapse.
Get genuinely current on AI practice, not at a superficial level. Not prompt engineering, not "how to use ChatGPT." At a "help a CFO of a 10-billion-SEK industrial company think through enterprise AI strategy" level. Read the technical papers. Spend time with engineers who were building AI systems. Understand what large language models could and could not do. Understand the compute requirements, the data requirements, the governance risks. You did not need to become a machine learning engineer - that was not your job. But you needed to understand the systems deeply enough that you could translate between what engineers were telling you and what boards needed to hear. That depth was the professional currency of 2027-2029.
Make the EU AI Act part of your business development story. Starting in Q3 2026, when it came into full applicability, Nordic companies needed advisors who could translate regulatory requirements into operational changes. You had the background - the KTH credentials, the corporate experience, the understanding of how large regulated companies actually work. But you needed to start positioning yourself in that conversation now, before the demand became obvious and every consultant in Scandinavia was suddenly claiming AI governance expertise. The companies that moved early into this space built relationships and track records that mattered.
In 2026-2027, through the transition year
Say yes when the Combient leadership asks you to anchor the AI transformation practice. It was coming. The question was whether you would lead it or watch someone younger and less seasoned do it less well. There was real ego work here. You had spent thirty years being "the innovation expert." You were being asked to step into something that felt less crystalline - "AI transformation" - and to do it at a moment when the entire concept was still forming. But the work of leading a practice during its formation was more valuable than being the senior member of a practice in decline. You had to choose growth over comfort.
Be explicitly generous with the younger advisors being promoted into the reshaped practice. Their careers were being compressed. They were being asked to develop expertise in a domain that barely existed in formal advisory terms. They needed senior figures who would invest in them rather than compete with them. That kind of senior advisor - willing to teach, willing to share client relationships, willing to let younger people have wins - was not normal in consulting. The advisors who did this became disproportionately valuable to their firms, because the people they had invested in came back to them later with their own client relationships. It took longer to pay off than hoarding capital and relationships would have. It was also more durable.
In 2027-2029, through the deep transition
Keep painting. Do not let the accelerating advisory workload eat the studio hours. I do not mean this as wellness advice - though it was wellness. I mean it as infrastructure advice. The painting was what kept you recognisable to yourself when the professional landscape shifted underneath you. When your title changed, when your practice was absorbed into something larger, when you were not quite sure whether you were still an innovation expert or something new: the studio was the place where you could still be certain. Five hours with a canvas and a problem that only you could solve, in the way you decided to solve it - this was not indulgence. It was the thing that made it possible to show up the next day and help a CEO think through a restructuring.
Lean into the translator role. By 2028, you understood something that few senior advisors understood - how to talk to engineers in their language while helping boards understand what engineers were actually saying. Most advisors came from business or economics. They had to learn engineering. Most engineers did not want to talk to advisors at all. You had both credibilities, and you could use them in conversation. The clients that found this translation valuable were not one-off engagements. They came back. They referred other clients. They built relationships with you specifically because you could do something that other advisors could not. Over time, this became your deepest asset.
4. What I should have told you to stop believing
That "innovation" as a professional category was a durable thing. It was a historical category - something that made sense from about 2010 to 2026, when business leadership paid premium rates for people who could help them think about disruption and change. The work you actually did - translating complex systems, listening deeply before speaking, helping organisations understand their constraints and possibilities - that work was durable. But the framing of it as "innovation consulting" was not. It was a fashion that was ending. The willingness to rename your practice, to move toward AI transformation, to let the old title go: that was the hard part. But it was necessary.
That the painting was a private compartment, separate from the professional work. Both were practices of attention. In the studio, you were solving visual problems through patient observation and deliberate action. In a client meeting, you were solving strategic problems through deep listening and careful thinking. They were more similar than they were different. The discipline you developed in one place made the other possible. The threat to the painting - the knowledge that generative systems could now produce images in seconds - was a real threat. But it was also a clarification. It clarified what painting meant to you, which was that it was not about making the most economically efficient images. It was about the practice itself, the hours of attention, the work of looking and deciding. That clarity - once you got it - was actually protective. Because you knew why you were doing it, and that knowledge held steady when the external market for painting shifted.
That being kind was a personal quirk outside the professional reckoning. In standard consulting relationships, kindness is a nice-to-have. In the advisory work that mattered from 2027 to 2030, it was a core competency. The ability to sit with a CEO and say "we need to let go of this part of the business" without making them feel judged, without flinching, without becoming cynical - that was not soft skills. That was the thing that made the work valuable. The consultants who treated restructuring as a standard engagement, who optimized for speed and theoretical purity, did not build lasting relationships. The ones who stayed present, who showed genuine care for the people and the organisations even when delivering unwelcome truths: those became trusted. Your disposition - the patience, the willingness to listen, the ability to hold space for other people's difficulty - this was not ancillary to your professional value. It was central to it. I should have told you that the thing you might have apologised for - the tendency to be kind, to care what your clients felt - was about to become one of the most valuable things in your toolkit.
5. What I am telling you now, looking forward from 2031
You have landed well. Combient's AI transformation practice is one of the more credible offerings in Europe right now, and you are one of its anchors. The engineering-plus-advisor profile you spent thirty years building is exactly what 2031 required. You could have lost everything in the transition. The transition could have left you out. Instead, the specific combination of skills and dispositions that you had was suddenly, explicitly valuable. That does not mean the transition was easy. The identity shift was real. The anxiety about where the work was going was justified. But you came through well.
The studio is still active. A small gallery in Stockholm is showing your work in the spring of 2031. That would not have happened without the thousand hours of discipline you kept putting in through 2027-2029, when the professional world was shifting and it would have been entirely reasonable to let the painting go. You did not let it go. The work got shown. You got to have the thing you wanted, which was to be taken seriously as a painter. That did not happen because you were brilliant at painting or because you had some special gift that rose above the market disruption. It happened because you understood what the practice meant to you, and you protected it even when the external market for painting was being redefined.
The Redundancy Summer and the restructuring that followed it created relationships that are still solid in 2031. The companies you advised during that period - the ones where you helped leadership think through genuinely difficult decisions - came back. They invited you into board conversations. They asked for your perspective on problems that had nothing to do with AI transformation in the narrow sense. That is not unusual in consulting - long-term relationships matter. What is unusual is the depth of trust that formed. The people you advised during the difficult period recognised that you were telling them true things, not things that served your interests. That kind of recognition is not repayable with a higher day rate. It just creates relationships that last.
You are 61 now. The Longevity Threshold - the point at which the evidence became credible that ageing was modifiable - changed the time horizons for everyone, but perhaps it changes them more for you than for others. You have been thinking about scaling back, about making space for the painting to take up more of your time. But the data suggests you have another thirty or forty years of active work ahead. That is not necessarily more of the same work. It could be less Combient, more independent advisory, more time in the studio. But the optionality is real. The thing that was supposed to be a wind-down phase has become an open field again. The people who understood this early had a kind of freedom that those still locked in the old time horizons did not have.
Siri Southwind
Written 31 December 2030