This new AI era may result intimidating for the limited and clumsy life forms that created it. Now we must analyze more carefully where our unique value continues to reside.
By talking to hundreds of experts, consumers and skeptics of AI in recent years, there have emerged four fortresss for humans:
- – Emotion: Understand, connect and respond sensitively to human feelings.
- – Complexity: Address ambiguous and broad-context challenges with holistic problem solving.
- – Physicality: Tasks that require dexterity and interaction with the physical world, particularly where human presence and responsiveness are important.
- – Creativity: The ability to generate original and innovative ideas and solutions.
Let’s look at each of them separately.
Humans are still the world’s experts when it comes to soft skills. Generative AI can mock in a convincing and useful way part of what we have thought, felt and said about empathy, ethics, negotiation, etc. Some people are even starting to use AI as therapy and company. But a human expert, friend or colleague is also more likely to give unfiltered, contrary, surprising or even controversial opinions, and in many situations, this will be much more useful than the safe, generic and clinical output of a machine.
The human abilities that They are still valuable (for now) include:
-Persuasion
-Self-awareness
-Ethics
-Listen
-Storytelling
-Sales
The world is still too complex for AI.
AI has dominated humans in well-defined, limited and controlled areas, such as checkers, chess and Go.
But the world is full of problems much more difficult than these. Climate change, poverty, social justice, business strategy (described as “wicked problems” by professors Horst Rittel and Melvin Webber in a 1973 article in Policy Sciences magazine) require a understanding data drawn from a variety of contexts. AI cannot yet read across such disparate domains.
Human skills that remain valuable (for now) include:
-Solving complex problems
-Interpretation
-Risk management
-Strategy
-Vision
-Intuition
Generative AI does not interact directly with the physical world.
And there are some professional interactions for which the human physical contact It is an essential requirement. The workers of the health, cooks, athletes, nurses, garbage collectors, hairdressers and artisans They have to be somewhere, doing something in the real world.
Human skills that remain valuable (for now) include:
-Skill
-Body language
-Physical strength
-Balance
-Touch sensitivity
-Porte
-Coordination
If we train our AI with data that the world has already seen, isn’t it difficult for the technology to generate something truly novel?
Of course, generative AI can produce a sentence, a paragraph or an image the world has never seen before, but can it generate authentic creativity, that is, a result that is new in a way that moves us and does it seem relevant to us?
Despite the fanfare surrounding the launch of new technology AI media generation, We consumers don’t care much about them. Spotify now includes AI-generated music in its catalog, but all the big hits are from real musicians.
The high quality writing is also safe (for now). Generative AI, substantially trained on a couple of decades of web marketing content, can’t help but produce a undistinguished prose.
Human skills that remain valuable (for now) include:
-Imagination
-Ideation
-Aesthetic judgment
-Lateral thinking
-Artistic expression
-Curiosity
A lot of work and many skills are still within our scope. We will do a better job in the years to come if we are more aware of which skills remain difficult for AI while we feed our own curiosity.
*Marc Zao-Sanders Harvard Business Review Wake-Up Call Spanish
