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AI Becomes Top Business Risk After Cybersecurity

Written by Zoilijee Quero | Jan 16, 2026 1:00:00 PM

If you’re in a leadership, management, or decision-making role, there’s a reality you can’t ignore: artificial intelligence is no longer just a competitive advantage—it has become a top-tier business risk. This is the conclusion of the latest Allianz Risk Barometer, which highlights the key concerns of global executives.

The report makes one thing clear: cybersecurity remains the number one risk for the fifth consecutive year. But the biggest surprise is the sharp rise of AI, which jumped from 10th place to 2nd in just one year. This reflects both the excitement and the anxiety surrounding its rapid adoption.

At TecnetOne, we see this daily: companies eager to unlock AI’s potential but moving faster than their governance, processes, and security culture can support.

 

Cybersecurity: The Ongoing #1 Risk

 

It’s no coincidence that cybersecurity still tops the global rankings. Ransomware attacks, data breaches, operational disruptions, and digital supply chain compromises continue to impact organizations of all sizes and sectors.

Despite increased investment in security, attackers have also evolved—leveraging automation, AI, and advanced social engineering. This creates a relentless arms race, where letting your guard down isn’t an option.

For business leaders, cybersecurity is no longer just an IT issue. It’s a strategic risk with direct consequences for business continuity, brand reputation, and stakeholder trust.

 

Artificial Intelligence: From Promise to Real Concern

 

What’s striking about the Allianz report is the meteoric rise of AI as a risk factor. In 2025, it barely made the top 10. In 2026, it ranks second.

Why the sudden leap? Because businesses are realizing that AI isn’t neutral. It can bring massive benefits—but also introduce new, complex risks if poorly managed.

According to Allianz Chief Economist Ludovic Subran, many organizations are adopting AI faster than they can adapt in governance, regulation, or workforce readiness. That’s where the problems begin.

 

Learn more: How to Turn AI Into a Strategic Ally—Not a Security Risk

 

Risks That Come With Adopting AI

 

Deploying AI isn’t just about upgrading tools. It reshapes your company’s risk profile. Key concerns highlighted in the report include:

 

  1. Operational Risks

AI systems aren’t foolproof. They can fail due to:

  1. Poor-quality data
  2. Poorly trained models
  3. Fragile system integration

A single error in an automated process can rapidly escalate and disrupt core operations.

 

  1. Legal and Regulatory Risks

With evolving laws, unregulated AI use can lead to:

  1. Data privacy violations
  2. Lack of explainability in automated decisions
  3. Complex liability issues

  1. Reputational Risks

Biased or opaque AI decisions can damage your brand and erode trust among customers and stakeholders.

 

  1. Over-Reliance on Automation

Too much dependence on AI may weaken human oversight in critical areas like finance, HR, or security.

 

AI and Cybersecurity: Interconnected and Escalating

 

AI’s rise as a risk doesn’t replace cybersecurity—it amplifies it. Both are now deeply intertwined.

 

  1. On the one hand, AI helps defend: anomaly detection, incident response, predictive threat modeling.

  2. On the other, attackers use AI to:
    1. Create more believable phishing attacks
    2. Automate breaches
    3. Scan for vulnerabilities at scale

 

A recent Moody’s report warns of the growing use of agentic AI in cyberattacks—systems that act with minimal human oversight.

 

The U.S. Snapshot: What the Report Reveals

 

In the U.S., the top risks are:

 

  1. Cybersecurity

  2. Business interruption

  3. Regulatory changes

  4. AI risks

 

Even though AI ranks 4th nationally, it’s climbing. This shows a clear trend: the more AI becomes embedded in business processes, the more aware companies become of its risks.

The same pattern is emerging across Europe and Latin America, though many regions still face challenges in digital governance and cybersecurity maturity.

 

Rapid Digital Transformation = More Exposure

 

The Allianz report also highlights the broader impact of digital acceleration. Your company likely depends on:

 

  1. Cloud infrastructure

  2. SaaS platforms

  3. API-based integrations

  4. External technology providers

 

This hyperconnected ecosystem boosts efficiency—but expands your attack surface. Adding AI without proper controls only multiplies the risks.

 

Similar titles: The Evolution of Artificial Intelligence Driven Malware

 

The Leadership Challenge: Scaling AI With Control

 

Many companies now face a tipping point:

 

  1. AI is being used in more areas than initially planned

  2. Employees adopt tools without clear policies

  3. Controls are implemented after deployment

 

According to Allianz, future issues will arise from:

 

  1. Trustworthiness of AI systems

  2. Legacy tech integration

  3. Lack of specialized talent

  4. Conflict between innovation and compliance

 

What You Should Do Right Now

 

At TecnetOne, we believe the answer isn’t to slow down innovation—but to scale AI responsibly and securely. Here are key actions to take:

 

  1. Define a Clear AI Strategy

Avoid adopting tools just because they’re trending. Define:

  1. Approved use cases
  2. Guardrails and limitations
  3. Owners and oversight processes

  1. Include AI in Your Risk Framework

AI must be part of your:

  1. Enterprise risk management
  2. Cybersecurity strategy
  3. Business continuity plans

  1. Train Your Teams

Technology without awareness is a liability. Ensure your people understand:

  1. What AI can (and can’t) do
  2. Where the risks lie
  3. When human judgment must intervene

  1. Assess Vendors and Models

Not all AI solutions are equal. Evaluate how providers handle data, security, and incident response.

 

Final Thoughts: AI Is Now a Strategic Risk

 

The Allianz Risk Barometer sends a clear message: AI has gone from being a promise to a top-level business risk. Its leap to #2 in global rankings reflects how quickly it’s been adopted—often without the necessary safety nets.

Cybersecurity remains the top concern, but AI is now right behind. Treating them as separate risks is a mistake. They must be addressed together, strategically and holistically.

At TecnetOne, we believe companies that succeed won’t be those that adopt AI the fastest—but those that do so with the greatest control, risk awareness, and security maturity.

Because in 2026, innovating without protecting yourself is no longer an option.