The latest Predictions 2026 study by Ipsos sends a clear signal about how people view the future: 71% believe that 2026 will be a better year than the previous one. However, this optimism coexists with deep concern: 67% believe that Artificial Intelligence will have a negative impact on employment.
Far from being a contradiction, this combination of expectations and fears reveals something deeper. AI is no longer perceived merely as a technological innovation, but as a force capable of redefining how we work, make decisions, and organize our societies. And for companies, this perception is not a minor detail — it is a strategic variable.
When the conversation about AI is limited to models, algorithms, or efficiency, a crucial part of the issue is overlooked. The Ipsos study shows that the challenge lies not only in the technical capabilities of the technology, but in the level of trust people have in how it will be used.
Uncertainty regarding its impact on employment does not necessarily reflect rejection of AI, but rather a lack of clarity about its purpose, its boundaries, and its integration into everyday life. In this context, organizations face a key challenge: how to innovate without widening the trust gap.
The Strategic Impact for Companies
For companies, this tension between optimism and concern has direct consequences. It affects the speed of adoption, the legitimacy of innovation projects, and the ability to scale solutions based on AI, advanced analytics, or machine learning.
When technological transformation is not connected to a clear strategy — and not explained in terms people can understand — the risk is not only technical. It is organizational. AI can become a source of internal friction, cultural resistance, or even reputational strain.
Conversely, when AI is integrated as part of a well-designed decision system, with clear objectives and defined accountability, it becomes a lever for value creation — not only for the business, but also for the people who interact with it.
The true contribution of Artificial Intelligence does not lie in replacing people, but in improving the quality of decisions. AI, business analytics, data science, and machine learning generate impact when aligned with concrete strategic questions: what to prioritize, how to allocate resources, how to anticipate risks, or how to improve results sustainably.
In this sense, innovation ceases to be an isolated technological exercise and becomes a continuous organizational process — one that requires governance, explainability, and a clear connection between data, decisions, and outcomes.
Innovation Also Means Taking Responsibility for Impact
The Ipsos data is clear: social expectations are evolving at the same pace as technology. People expect progress, but they also expect certainty. For companies, this opens a strategic opportunity: to lead AI integration through a responsible, transparent, and impact-driven approach.
In 2026, competitive advantage will not come solely from who adopts Artificial Intelligence the fastest, but from who integrates it best into their strategy, culture, and relationship with society. Because in times of uncertainty, innovation is not just about moving forward — it is about moving forward with purpose.
Source: Ipsos – Predictions 2026
