From illusory efficiency to sufficiency: ‘More’ is no longer the goal

For decades, a familiar formula determined business success: Faster, bigger, leaner and cheaper. Efficiency was the ultimate goal, achieved by cutting costs, increasing throughput and scaling relentlessly.

But what happens when efficiency starts creating new risks instead of resilience?

The sixth macrotrend in the NTT DATA Technology Foresight 2026 report — “From illusory efficiency to sufficiency” — relates to a global turning point. Climate instability, energy volatility, regulatory pressure and social expectations are exposing the limits of growth-at-any-cost thinking.

Efficiency alone no longer guarantees stability. In some cases, it also creates fragility.

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When efficiency becomes a liability

When a global retailer optimizes their supply chain to shave milliseconds off delivery times and cents off each unit shipped, operations run perfectly (and cost-effectively) for some time. But then a drought disrupts water supplies at a key manufacturing site, energy prices spike or new sustainability regulations demand verified emissions reductions across the value chain.

Disruption quickly ensues because the retailer’s system was carefully tuned for maximum efficiency but lacked resilience and margin for shock.

Our report describes sufficiency as a strategic shift — from maximizing output to optimizing for long-term adequacy within ecological limits. It reframes technology not as a tool for endless expansion but as a mechanism for intelligent moderation.

In this model, success is defined by sustainable, resilient performance over time.

What sufficiency looks like in action

Consider a city deploying microgrid sufficiency models. AI-enabled systems balance solar, wind, hydrogen and energy-storage assets to operate within defined thresholds. Buildings use IoT sensors and digital twins to reduce heating and cooling demand before peak loads hit.

As a result, energy consumption and emissions fall, and there’s audit-ready data to prove it.

Or picture a manufacturer using circular production loops — manufacturing systems designed to keep materials, components and products in use for as long as possible. Here, digital twins analyze whether components should be repaired, remanufactured or recycled, while AI optimizes reverse logistics to minimize material loss.

In these scenarios, waste is not just reduced — it is designed out.

The technology behind the shift

The era of mass intelligence amplifies everything, including resource consumption. If AI scales without boundaries, energy demand surges. If supply chains expand without constraint, emissions rise. If innovation chases only speed and cost, systemic risk increases.

Sufficiency ensures that intelligent systems evolve within ecological and societal limits. It channels technological capability to long-term resilience rather than unchecked expansion. Here’s how we see this playing out:

• Right now, organizations are deploying operational reduction systems, including AI-enabled energy management, carbon-accounting platforms and circular asset tracking. These tools move sustainability from reporting to measurable reductions.
• Next, predictive circularity and low-carbon computing take center stage. Carbon-aware workload routing aligns AI processing with low-carbon energy availability, while digital twins simulate emissions impacts before decisions are made.
• Looking further ahead, planetary digital twins will model entire economic and climate systems to test sufficiency strategies at scale, and AI policy simulators will allow governments to explore demand-reduction scenarios before implementation.

A cultural shift, not just a technical one

Our report views sufficiency as a mindset as much as a toolkit. It prioritizes resilience over short-term optimization and embeds environmental accountability into every stage of design and operation. It links AI and automation to long-term societal and planetary boundaries.

This calls for a rethink of incentives. What if executive bonuses were tied not just to revenue growth but also to verified reductions in energy and material intensity? What if product roadmaps prioritized durability and repairability over rapid replacement cycles? What if computing budgets included carbon ceilings?

These aren’t abstract ideas. Regulatory structures such as the Corporate Sustainability Reporting Directive in Europe and the International Sustainability Standards Board framework are already increasing demand for audit-ready environmental data.

One part of a larger transformation

“From illusory efficiency to sufficiency” is one of six interconnected macrotrends in the era of mass intelligence.

The full NTT DATA Technology Foresight 2026 report also explores human-orchestrated autonomy, embodied agency and emotions, intelligence we trust, informed infrastructure and sovereign silicon ecosystems.

Together, they define an architecture for a future where intelligence is not only powerful but also bounded, accountable and purpose-driven.