Signals from the Future
We live in a phase where technological, competitive, and organisational changes first appear as weak signals and only later as established evidence.
This page collects and interprets those signals that can help entrepreneurs and decision-makers read in advance what is changing in their context.
This is not a news roundup. It is a curated selection of content, ideas, and analyses touching on concrete business questions: strategy, artificial intelligence, organisation, markets, data, new work models, and emerging transformations.
Each section offers a brief reading key and references to content selected from newsletters, articles, videos, and qualified sources, summarised and contextualised.
01
Strategy in Evolution
Markets change faster than the decision cycles most companies are used to. This section collects signals that help identify when positioning, priorities or the competitive model are beginning to require revision.
The competitive advantage is already being fought on AI — not tomorrow
CEOs are betting on AI more than boards realise
Five barriers separate "announced" AI from AI that generates value
02
A.I., Governance and Leadership Decisions
Artificial intelligence is not just a matter of tools. It is becoming a question of direction, responsibility and decision quality at the top. Here I collect signals useful for understanding how A.I. is changing the role of the entrepreneur, the board and top management.
The global order we knew no longer exists: what to do as business leaders
Is Fortress Europe a strategy or a risk for exporters?
When AI agents decide, who remains accountable?
03
Markets, Ecosystems and New Balances
Companies no longer compete only within their own sector, but within ecosystems in motion: supply chains, platforms, alliances, new entrants, shifts in power. This section helps read the signals that show where balances are shifting.
The browser war between OpenAI and Google redraws who controls customer access
AI is becoming the invisible infrastructure underpinning every sector
The SaaS model as we know it is ending
04
Organisation, People and the Future of Work
Many changes don't show up immediately in numbers, but emerge in how people collaborate, decide, learn and handle complexity. Here I collect signals about leadership, coordination, productivity, roles and organisational structures.
The org chart designed before generative AI no longer holds
AI doesn't optimise the existing organisation — it rewrites it from scratch
Aligning strategy in months, not years: is it possible with AI?
05
Data, Sensors and Reading Reality
A decisive part of competitive advantage comes from the ability to see what others cannot yet see. Data, sensors and Artificial Intelligence enable a deeper reading of reality. The real advantage lies not in having more information, but in interpreting it earlier and better than others, turning it into effective decisions.
Emerging technologies to monitor before they become urgent
Why AI promises productivity but aggregate numbers don't show it yet
In 2026, augmented intelligence stops being an option
06
Exponential Technologies and Emerging Scenarios
Some innovations begin as peripheral curiosities and within a few years become forces capable of changing business models, value chains and market dynamics. Here I collect signals related to the development of emerging technologies, their interactions and possible implications for business.
Humanoid robotics is approaching the market faster than predicted
In 2026, AI changes role: from tool to operational partner
Physical AI is about to leave the labs and enter the factory
A direct conversation
Which signals of the future are you already perceiving in your company or market?
Are there changes you sense clearly but have not yet opened up for structured discussion? If you wish, we can start right there.