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IT Trends For 2026: What Analysts Predict vs. What Businesses Are Really Doing

The technology landscape for 2026 is being shaped by two very different forces: the sweeping, transformative predictions from global research firms, and the grounded, practical realities unfolding inside local organisations. Our recent Techshop explored both, and the contrast is striking.

The Big Analyst Predictions for 2026

1.  Sustainable IT And Green Tech

Environmental accountability is no longer optional. Organisations are being pushed toward energy‑efficient hardware, renewable‑powered data centres, and software optimisation that reduces resource consumption. Sustainability has shifted from “nice to have” to a compliance requirement and competitive differentiator.

2. Composable Applications And Infrastructure 

Analysts expect a major move away from monolithic systems toward modular, API‑driven architectures. The promise is agility: the ability to assemble and reassemble digital capabilities at speed, adapting to market changes without full rebuilds.

3. Autonomous Business Operations

AI‑driven supply chains, automated IT operations, and machine‑led decision making are positioned as the next frontier of efficiency. Humans shift from doing the work to supervising it.

4. Decentralised Identity And Web3 Platforms

Decentralised identity is forecast to reshape digital trust, giving users more control over their data. Regulatory pressure is expected to accelerate adoption.

5. AI-Enhanced Collaboration Platforms 

Collaboration tools will become context‑aware, automating routine tasks, summarising meetings, and coordinating workflows. Hybrid work becomes smoother and less administratively heavy.

6. Generative AI Everywhere

AI is expected to become the default engine of work. They believe it will be embedded in every workflow, industry, and system. Analysts frame this as a universal transformation.

7. AI-Powered Cyber Security

Next‑generation security platforms will use AI to predict, detect, and neutralise threats autonomously. The shift is from reactive defence to proactive, self‑healing systems.

8. Quantum-Ready Encryption

Quantum‑safe cryptography is being pushed as a must‑have long before quantum attacks become real. High‑risk industries are urged to prepare now.

9. Edge AI And Hyper-Local Processing

Intelligence is moving to the edge. Real‑time decision making for autonomous vehicles, smart cities, and industrial automation requires processing power close to the data source.

10. 5G/6G Enabled Innovation

Ultra‑low‑latency networks will unlock new business models, immersive experiences, and connected environments. Connectivity becomes the backbone of innovation.

What Local Businesses Are Actually Experiencing

While the analyst predictions paint a picture of a highly automated, decentralised, AI‑driven future, the reality inside most organisations is far more grounded.

1. Augmented Personal AI

Employees are adopting practical AI tools faster than organisations can roll out large‑scale AI programs. AI is helping with emails, documents, proposals, and admin. This leads to incremental, personal productivity gains rather than sweeping transformation.

2. IT Spend Effectiveness

Subscription overload is real. Businesses are paying for tools they barely use. The focus has shifted to consolidation, optimisation, and extracting value from existing investments.

3. Leasing Over Purchasing Assets 

Aging fleets and forced Windows 11 upgrades have pushed organisations toward asset leasing. Predictable costs, easier refresh cycles, and reduced risk are driving the shift.

4. From Cyber Focus To Productivity Focus 

After years of heavy cyber investment, many organisations are secure but inefficient. Productivity, not security, is now the bottleneck, and AI is being adopted to close the gap.

5. GRC-Led Cyber Initiative

Cyber security is becoming a governance conversation. Boards care about compliance, privacy, and risk posture. AI is increasingly used for reporting and monitoring.

7. AI: A Solution Looking For A Problem

Many organisations are starting with the technology instead of the problem. Misaligned AI projects are common, leading to wasted time and money. The real opportunity is matching tech to real challenges.

8. AI Inside Core Business Applications

AI is becoming invisible as its embedded directly into tools like Microsoft 365, CRMs, and ERPs. This ambient AI reduces friction and accelerates adoption. 

9. Agentic AI

AI agents capable of running multi‑step processes are emerging. Early adopters are experimenting with agents for onboarding, reporting, customer service, and internal workflows.

10. A More Pragmatic Approach To AI

Businesses are moving away from impulsive tech purchases. Leaders want structured procurement, clear ROI, and alignment with business goals. 2026 is shaping up to be a year of strategic action.

Key Takeaways

  • Start with real problems, not shiny solutions.
  • Maximise the value of what you already pay for.
  • Shift to asset renting for flexibility and predictability.
  • Explore where domain‑specific AI models fit.
  • Empower your team with augmented personal AI.

 

The future of IT in 2026 isn’t necessarily about innovation. It’s about making smarter, more strategic decisions that create real value today.

Contact our team to discuss how our FLEX Managed Service Agreement or Technology Advisory Services can help you prepare for the next wave of AI adoption.