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2025
The 7 AI Jobs of Tomorrow
Why Consulting remains essential for a successful transformation
One of the greatest paradoxes of our time is that every company wants artificial intelligence, but very few manage to make it useful.
Our journey in this field is based on a conviction: to understand certain things before others.
We create algorithmic applications, some highly sophisticated like Yourscrib, others more targeted like our Amazing Agents.
Our paradigm is simple:
Transforming an organization involves offloading repetitive tasks to AI agents, allowing humans to focus on the most creative, sensitive, and human missions.
This is how humans move from the position of executor to that of orchestrator, capable of reaching unprecedented levels of productivity.
The Myth of “Everything-Software”
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For years, our industry has sworn by the product, SaaS, and automatic scalability.
The word “consulting” is almost frightening, as it’s perceived as the opposite of scaling: human, slow, and not automatable.
And yet, in the field of AI, this logic no longer holds true.
The figures prove it:
95% of enterprise generative AI projects fail (MIT, 2025).
80% don’t go beyond the pilot stage (RAND Corporation).
30% are abandoned before industrialization (Gartner).
On average, the failure rate varies from 70% to 95%, depending on the type of project.
The causes are well known: vague objectives, lack of business involvement, poor-quality data, resistance to change, soaring costs… But ultimately, the real problem lies elsewhere: the belief that companies can transform themselves alone, armed only with their software.
Why Consulting Becomes Vital
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A good software tool is a decisive advantage, which is precisely why we developed Hyko.ai. But without human support, no AI can succeed in its mission of transformation.
The ecosystem is mistaken when it imagines that technology can solve everything.
In reality, AI projects fail not because of the code, but because of the absence of essential human roles.
Here, based on our experience, are the seven key roles for successful AI transformation.
1. The Process Manager
Structuring human expertise
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AI will never know your business the way you do. For it to amplify your expertise, you must first organize, formalize, and map your knowledge.
Many experts lack the necessary perspective to describe their own work as a process. The Process Manager formalizes this expertise using methodologies such as Process Mapping or Mind Mapping.
They form the foundation for the dialogue between humans and machines.
2. The Algorithmologist (AI Project Manager)
To frame, to direct, to orchestrate
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After the Process Manager comes the one who sets the direction: the Algorithmologist.
This role involves framing the subject, tempering ambitions, asking the right questions, and defining clear objectives and success indicators.
This is the conductor of the AI transformation, the one who ensures alignment between business needs and technical capabilities.
3. The Ivy Lee Manager
Mastering the hierarchy of priorities
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Everything needs to be reinvented, but not all at once. Some costly initiatives can wait, others are urgent.
The Ivy Lee Manager, inspired by the famous prioritization method, distinguishes between what is important and what is urgent and defines a chronological action plan. It ensures the transformation proceeds at the right pace.
4. The Strat Tech Manager
Aligning strategy and technology
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AI agents are complex assemblies of technologies. Each technical choice opens up different paths, with their own pitfalls and subtleties.
The Strategic Tech Manager, whom we like to call the Star Trek Manager, navigates this universe. They align technologies with the company's strategy, ensuring coherence between innovation and vision.
5. The On-Boarding Manager
Supporting the human factor
No transformation can ignore the human element. Resistance, fear, organizational inertia: without support, these forces block all progress.
The On-Boarding Manager fosters engagement, eases tensions, and facilitates buy-in. It's a role at the intersection of management, communication, and the psychology of change.
6. The Innovation Manager
Unleash creative potential
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Until now, transformation meant automating existing processes.
Now, AI allows us to automate what we never had time to do.
The Innovation Manager identifies and tests dormant ideas within the organization, at negligible cost, thanks to tools like Hyko.
The cost of innovation becomes marginal—and its impact, exponential.
7. The Chief Strategy Officer (CSO)
Thinking about and materializing the future
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Software like Hyko is merely a tool for making things tangible.
Strategy, however, remains a human endeavor.
The Chief Strategy Officer envisions and designs the organization's future, leveraging AI to bring it to life.
This is the role of the human-architect, the one who gives meaning to the machine.
The 7 Keys to Success for an AI Project
These seven roles are essential for the success of an AI transformation. Yet, the ecosystem acts as if fulfilling them were a matter of divine intervention.
We believe that if 80% of projects fail, it is precisely because these missions are abandoned. Software publishers rightly assert that consulting is not their core business.
Consulting firms, however, struggle to accept the necessary shift to perform these new functions.
Rethinking the Alliance between Code and Consulting
At Big Mama Tech, we develop highly innovative AI solutions.
But we believe the real quantum leap will come from the alliance between humans and machines, between software and consulting.
The organizations of tomorrow will need these new hybrid professions, capable of embodying this symbiosis.
Only then will AI finally become a lever for real transformation, not a technological gadget, but an amplifier of human intelligence.