Governing is now worth more than executing. And today the labour market is confronting this uncomfortable realisation.
The International Monetary Fund has calculated that in advanced economies 60% of jobs are now exposed to artificial intelligence. According to Goldman Sachs, 300 million full-time positions are already exposed to generative automation. These figures describe the present of the world of work, and its near future.
Yet the most surprising finding concerns not the number of categories affected, but their distribution.
Artificial intelligence, in fact, is not hitting the manual workforce, nor is it eroding the top of the decision-making pyramid.
It is demolishing the centre.
We are witnessing the collapse of the middle cognitive class. Roles that for decades built their value proposition on the ability to follow procedures are now disappearing.
Programmers, marketing analysts, junior copywriters. If your work can be mapped to a pattern, it is already under pressure.
And yet the sad truth is that technology has simply made evident what was already true. Pure execution is a commodity whose value inevitably tends towards zero.
At Bliss, we have analysed this landscape to describe the shift and highlight which organisations are making the most of it.
In this article we will discuss governance, accountability and recognisability, to understand together how to survive AI and how to assert your own Authentic Intelligence.
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Contact usAI and the hourglass of work
The work pyramid has turned into an hourglass.
At the top are those who decide, who hold the vision, who take responsibility for risk. At the bottom are those who work in the physical world or in unmediated human relationships.
In the middle, however, there is a void.
Let us look at each of these three levels in turn, to understand how they interact with AI.
Let’s start at the top. Those who decide and have vision are irreplaceable. Strategic thinking will never be automated. AI can simulate strategies based on the past, but real strategy is always about the future and the unknown. Deciding to risk capital on a crazy but revolutionary idea is an act of will. AI has no will, and consequently cannot replace those who do.
On the other hand, manual jobs are also safe from AI, which has no body. Moving through an unpredictable physical world requires a level of coordination and sensory capability that today costs far more than a server. A plumber deals with physical variables; a data analyst deals with logical variables that AI has already mapped millions of times.
In the middle, then, lies the void we mentioned: the middle cognitive class, responsible for operations.
The knowledge paradox teaches us that mid-level intellectual jobs are the most at risk because they are the most decipherable. Programmers have 74.5% exposure to automation. Marketing analysts 64%. The more logical a language is, the more likely AI is to replicate it.
The World Economic Forum estimates that by 2030 92 million roles will be redesigned or eliminated by automation. At the same time, 170 million new ones will emerge. But the point, for those working today, is to understand where they stand in that distribution.
Lessons from Goldman Sachs: when execution becomes a commodity
In 2000, the equities trading desk at Goldman Sachs in New York employed 600 traders. Highly paid professionals, with years of training, who bought and sold shares on behalf of the bank’s major clients. Today, in that same office, there are just two traders.
The other 598 positions have been taken by algorithms, supported by 200 software engineers.
Goldman Sachs CFO Marty Chavez chose to explain the logic behind this decision publicly. Four traders can be replaced by a single software engineer. Not because the work is easy, but because it is logical. Executable by a pattern.
What no one had foreseen was that the process would not stop at floor traders. Today Goldman Sachs employs around 9,000 software engineers: a third of its entire workforce.
While execution has been automated, the governance of technology has become the new high-value work.
McKinsey shows the same trend from another perspective. The firm has integrated AI extensively into its analytical processes, work that once required teams of junior consultants. The result? Expectations of junior profiles have risen sharply, since AI has already absorbed the most routine part of their work. Those who can only run standard analyses have become replaceable. Those who can decide what to analyse and why, however, are worth more today than ever.
Both cases express the same truth. Pure execution, however sophisticated, tends towards zero when it can be automated. This is why governing is worth more than executing: strategic direction, accountability for choices and the ability to decide which problems are worth solving are skills so deeply human that nothing will ever truly replace them entirely.
Those who sell processes are interchangeable. Those who sell responsibility are an asset.
The Choice: stop doing and start deciding
In a world where AI can automate 74.5% of a programmer’s work and 64% of a marketing analyst’s, continuing to sell only hours of work or deliverables is suicide.
Continuing to sell operational work today is a habit destined to fail. Moving to Governance is the principle that can protect a brand’s longevity over the long term.
We have done the same. While most agencies try to integrate AI to produce more content (in effect accelerating market saturation), Bliss has chosen to occupy the space of Decision.
AI is extraordinary at solving problems, but it is structurally incapable of deciding which problems are worth solving. Our responsibility has become that of being systems architects. We chose not to sell hours of work, selling instead the strategic validation of every single input.
The market confirms it in numbers. Positions requiring AI skills today command salaries up to 56% higher than identical roles without those skills. Those who can govern AI are worth as much as those who decided what to do with data twenty years ago.
The New Era of Recognisability
In a future flooded with synthetic content produced at zero cost, recognisability will no longer depend on how much you do, but on how consistent you manage to remain.
AI will replace those who execute, but it will make those who know how to decide what to execute infinitely more powerful, rare and necessary. Or those who know how to do it genuinely, daring in a way that Artificial Intelligence never could.
The temptation to use AI to produce more is strong, yet quantity is the enemy of rarity.
One figure that measures this dynamic precisely was collected in the first weeks of 2025. 77,999 jobs were lost in the tech sector because of AI. More precisely, 427 positions a day. The question, then, is not whether change will come, but whether it will find you ready.
What your company can learn from Cognitive Collapse
You cannot beat AI on speed. It is a battle lost from the outset.
The revolution that is redrawing the world of work can only be met by understanding what to delegate to machines and what to protect as human capital.
If your value proposition rests on a process that can be mapped, you are already under pressure. But the good news is that there will always be that millimetre of insight or responsibility that the algorithm can never replicate.
So there is only one question: are you selling that millimetre, or are you selling everything else?
At Bliss we help companies design this specific Decision Engineering. We build the system of rules and vision that makes your business an indestructible human asset.
Because in the age of automation, governing is worth more than executing.
Frequently Asked Questions
Which marketing jobs are disappearing because of AI?
Those based on the mechanical production of content: standard texts, reports, summaries, literal translations. AI does these things faster and at zero cost. Value shifts towards those who know how to decide what to produce and why.
What does ‘governance’ mean in the age of artificial intelligence?
True governance in the age of AI will be the ability to direct the output of machines. Whoever governs decides. And in a world where anyone can generate content, scarcity will lie in judgement.
How will the role of a brand agency change with generative AI?
It will shift from production to strategy and governance. The agencies that survive will be those that use AI as a tool within an already defined brand system.
Why does AI become a problem without Brand Governance?
Because it generates content consistent with the data it was trained on, not with the brand’s specific identity. Without clear operating rules, AI produces average output. Governance instructs the model to speak with the brand’s voice, which we want to be different from everyone else’s.