B2 News Cybersecurity · May 20, 2026

Cyber Pros Can't Decide If AI Is a Good or a Bad Thing

Cybersecurity pros say AI is simultaneously their greatest tool and their biggest threat.

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A major global survey of over 16,000 cybersecurity professionals has produced a beautifully contradictory result: AI was voted both the technology most likely to help secure organizations AND the one most likely to threaten them. It's the same technology, doing both things at once — and somehow, nobody's surprised.

On the threat side, 52% of respondents flagged AI as one of the most damaging developments in cybersecurity today. The biggest worry isn't rogue robots — it's social engineering. Cybercriminals are leveraging AI to craft eerily convincing phishing messages and high-fidelity deepfakes that are genuinely hard to detect. Respondents tended to rate AI's impact on cybersecurity more positively or negatively, depending on AI's broader impact on their industry in general. Workers in consulting — a field already ransacked by automation — were the most pessimistic, while those in construction or agriculture were far less alarmed.

On the flip side, 41% of professionals see AI as one of the greatest boons the industry has ever had. Automation of repetitive, low-value tasks is the big win here. As ISC2's CISO Jon France puts it: "If it frees up some of my time from analysis, into decision-making and into higher functions, then I'm not losing a job — I'm just focusing on something that's of higher value to me and my organization."

Perhaps most surprisingly, two-thirds of respondents believe AI will actually generate more jobs in cybersecurity, not fewer. Soft skills — communication, critical thinking, teamwork — are becoming more differentiating in the job market as AI handles the grunt work. When asked whether AI's net impact is positive or negative, ISC2's France gave the perfect answer: "Yes."

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Highlight any word or phrase for an explanation or translation, save vocabulary, and bookmark articles.

📚 Key vocabulary

social engineering (noun)
manipulating people psychologically to trick them into revealing confidential information or taking unsafe actions
"The security team ran training sessions to help employees recognize social engineering attempts like fake IT support calls."
deepfake (noun)
a realistic-looking video, image, or audio clip created by AI that falsely shows someone saying or doing something they never did
"The compliance team warned executives that deepfakes could be used to impersonate them in fraudulent video calls."
boon (noun)
something that is very helpful or beneficial, especially when it arrives at a good time
"Remote collaboration tools proved to be a boon for global teams during the pandemic."
differentiating (adj)
making someone or something stand out as distinct or superior compared to others
"Strong presentation skills are increasingly differentiating candidates in a competitive job market."
leverage (verb)
to use something strategically to gain an advantage or achieve a better result
"The marketing team is leveraging customer data to personalise their campaigns more effectively."

✨ Useful phrases for this topic

"net positive"
Use this when you want to say that the overall result of something is good, even if there are some downsides.
"Despite the longer implementation time, moving to cloud infrastructure was a net positive for the whole department."
"frees up time from [task] into [task]"
Use this when explaining how automation or a new process shifts people's focus from routine work to higher-value activities.
"Automating the monthly reports frees up time from data entry into actual strategic analysis."
"high-fidelity"
Use this in a professional or technical context to describe something that is extremely realistic, accurate, or detailed.
"The training simulation used high-fidelity scenarios to prepare the team for real crisis situations."

Advanced sentence structures

Patterns from this article you can use in meetings, emails, and everyday English

Structure 1

In context

Respondents tended to rate AI's impact on cybersecurity more positively or negatively, depending on AI's broader impact on their industry in general.

The skeleton

Frame: [Subject] [verb phrase] [more/differently], <strong>depending on [noun phrase]</strong>.

What it does: Shows that an outcome or behaviour changes based on a variable condition or factor.

Quick swap: "Employees tend to respond to change more or less positively, depending on the level of support they receive from management."

More examples

  • "The treatment is more or less effective, depending on the patient's age and overall health."
  • "Students tend to engage with the material more deeply, depending on how closely it connects to their own experience."
  • "Prices for the service vary quite significantly, depending on the size of the company and the contract length."

Easy exercise

Arrange the words and add the missing structural elements to build a correct sentence.

  1. more or less threatened · cyber professionals · feel · depending on · their role in the industry
  2. depending on · the season · tourist numbers · dramatically · vary
Show answers
  • "Cyber professionals feel more or less threatened, depending on their role in the industry."
  • "Tourist numbers vary dramatically, depending on the season."

Open exercise

Write your own sentence using this structure. You can write about anything — here are some ideas if you need them:

  • How people in different jobs feel about working from home
  • How customers react to a new product or policy
  • How motivated you feel about studying or exercise

One possible answer: "People find remote work more or less productive, depending on the nature of their daily tasks and home environment."

Structure 2

In context

If it frees up some of my time from analysis, into decision-making and into higher functions, then I'm not losing a job — I'm just focusing on something that's of higher value to me and my organization.

The skeleton

Frame: <strong>If [subject] [verb] [object] from [old activity] into [new activity], then [subject] [positive outcome]</strong>.

What it does: Presents a conditional trade-off — replacing one activity with a better one leads to a gain, not a loss.

Quick swap: "If automation frees up staff time from routine data entry into client consultation, then the company gains more value from the same workforce."

More examples

  • "If better planning tools free up teachers' time from administrative tasks into actual classroom instruction, then students will benefit enormously."
  • "If this new software moves our team from manual reporting into strategic analysis, then we will be far more competitive."
  • "If the restructure shifts employees from isolated individual work into cross-functional collaboration, then innovation will follow naturally."

Easy exercise

Arrange the words and add the missing structural elements to build a correct sentence.

  1. AI · frees up · cybersecurity professionals · from · repetitive monitoring · into · higher-level threat analysis · their skills become more valuable · then
  2. if · moves · the new schedule · doctors · from · unnecessary paperwork · into · patient care · outcomes will improve · then
Show answers
  • "If AI frees up cybersecurity professionals from repetitive monitoring into higher-level threat analysis, then their skills become more valuable."
  • "If the new schedule moves doctors from unnecessary paperwork into patient care, then outcomes will improve."

Open exercise

Write your own sentence using this structure. You can write about anything — here are some ideas if you need them:

  • How a new tool or technology could change your work or studies
  • How a change in routine could free up time for something more meaningful
  • How a company or school could reorganise to get better results

One possible answer: "If better project management tools free up our team from constant status meetings into focused creative work, then the quality of our output will improve significantly."

💬 Discussion questions

1

In your own work, do you see AI more as a helpful tool or a source of new risks — and what's your strongest example?

2

Some experts argue that AI will create more cybersecurity jobs than it destroys. Do you find that convincing, or does it feel overly optimistic?

3

Jon France says soft skills like communication and critical thinking are becoming more differentiating in the job market. How are you personally developing those skills to stay competitive?