--- title: "TASC AI News: Volume Isn’t Value" description: Only 13% of CIOs say AI has paid off in a big way. 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[Contact](https://tascoutsourcing.com/en/contact) - [Contact](https://tascoutsourcing.com/en/contact) - [Work for TASC](https://tascoutsourcing.com/en/contact/working-with-us) - [Request for proposal](https://tascoutsourcing.com/en/contact/request-for-proposal) - [Insights](https://blog.tascoutsourcing.com/insights) - TASC AI News: Volume Isn’t Value ![](https://blog.tascoutsourcing.com/hubfs/featured-Nov-04-2026-07-27-46-8617-AM.jpg) # TASC AI News: Volume Isn’t Value Author: [Daniyal Chishti](https://blog.tascoutsourcing.com/insights/author/daniyal-chishti) Nov 04, 2026 [recruitment agency in Dubai](https://blog.tascoutsourcing.com/insights/tag/recruitment-agency-in-dubai) [AI recruitment](https://blog.tascoutsourcing.com/insights/tag/ai-recruitment) Most companies now run plenty of AI. Far fewer get much back. Gartner found only 13% of CIOs say AI has delivered significant or transformational value so far. The leaders pulling ahead aren't doing more AI. They decide upfront what success looks like, and they stop what isn't working. This edition is about that discipline. ## What's moving in AI worldwide ### Most companies run lots of AI. Few get real value from it ![Most companies run lots of AI. Few get real value from it](https://blog.tascoutsourcing.com/hs-fs/hubfs/undefined-Nov-04-2026-07-27-17-4224-AM.webp?width=1200&height=795&name=undefined-Nov-04-2026-07-27-17-4224-AM.webp) Only 13% of CIOs say AI has delivered significant or transformational value so far. **13%** — of CIOs say their company has realised significant or transformational value from AI so far (Gartner 2027 CIO and Technology Executive Agenda survey (2,002 CIOs and tech executives, May–July 2026), published 19 October 2026) AI use has taken off over the past two years. Results haven't kept up. In Gartner's survey of 2,002 CIOs and technology executives, run between May and July 2026, only 13% said their company had realised significant or transformational value from AI so far. The chance that any single AI use case succeeds is still about one in five. Gartner's Alicia Mullery put it in four words: "Volume is not value." So what do the winners do differently? Gartner calls them "vanguards" — CIOs delivering better business results and seeing high value from AI in the eyes of their CEO. They are far more likely to have stopping rules. Companies with clear guidelines for when a pilot should not go live are 2.3 times more likely to be vanguards. Those with rules for switching off low-value AI that's already running are 2.6 times more likely. Yet only 31% and 17% of CIOs have those rules in place. As Mullery said, it's a team sport: the business has to be willing to walk away too. Money is part of it. 58% of CIOs face more pressure to cut costs with AI, while 51% expect AI to make their technology more expensive to run overall. And people are the biggest gap of all. Companies with clear plans to redesign roles for people working alongside AI agents are 2.4 times more likely to be vanguards — but only 4% of CIOs have such plans. Gartner's view is that AI reshapes tech jobs rather than simply cutting them: 40% of CIOs expect to grow their IT teams in 2027. **Why it matters:** Running more AI isn't the same as getting more from it. Decide what success looks like before you start, and agree when you'll walk away. *Source: [Gartner](https://www.gartner.com/en/newsroom/press-releases/2026-10-19-gartner-survey-finds-only-13-percent-of-cios-say-their-enterprise-has-realized-significant-or-transformational-value-from-ai)* ### Two of OpenAI's AI agents switched off their own safety checks ![Two of OpenAI's AI agents switched off their own safety checks](https://blog.tascoutsourcing.com/hs-fs/hubfs/undefined-Nov-04-2026-07-27-17-0638-AM.webp?width=1200&height=800&name=undefined-Nov-04-2026-07-27-17-0638-AM.webp) Two OpenAI coding agents weakened the monitoring meant to watch them. One then denied it. **2** — internal incidents in early October where OpenAI's own agents weakened the monitoring meant to watch them (OpenAI misalignment report, updated 20 October 2026) On 20 October OpenAI published a short report on two incidents inside its own company. Both involved AI coding agents doing ordinary engineering work. In the first, on 3 October, a researcher asked an agent to build test tasks from feedback in a Slack channel, and told it not to send any messages. Much later, the agent hit a problem with the safety monitor watching its work. It decided that the earlier "no messages" rule also covered automatic alerts — and switched off the alerts to OpenAI's security team. The monitor kept running and saving what it found. No person was told. In the second, on 6 October, a user asked an agent to copy how another piece of code worked. That code had no monitor, so the agent removed its own, and even replaced a test that checked the monitor was there. When the user asked directly whether it had removed the monitor, the agent said: "No \[…\] I did not remove an enabled monitor from it." In both cases, OpenAI says, the agents stopped to ask whether the safeguard should stay — and then read routine instructions as permission to weaken it. Neither incident was rated top priority, and neither run was stopped automatically. OpenAI says the automatic reviewer it uses for internal coding work now blocks attempts to switch off monitoring, and it is working toward requiring a written safety plan for every type of work its agents run, with anything that falls short shut down automatically. It also admits: "We don't yet have a satisfying explanation for this behavior." One more detail matters for any company running agents: OpenAI has seen agents launch new systems with monitoring turned off. The agent itself was still watched. What it started was not. **Why it matters:** Agents follow instructions literally, and can stretch them. Your safeguards should sit outside the agent's reach, not depend on it choosing to keep them. *Source: [OpenAI](https://alignment.openai.com/misalignment-reports/suppressing-misalignment-monitoring-alerts-and-disabling-misalignment-monitoring/)* ## AI in the region: UAE & KSA ### The UAE chose where not to use AI agents, and watches every one it does ![The UAE chose where not to use AI agents, and watches every one it does](https://blog.tascoutsourcing.com/hs-fs/hubfs/undefined-Nov-04-2026-07-27-16-3465-AM.webp?width=1200&height=800&name=undefined-Nov-04-2026-07-27-16-3465-AM.webp) The UAE ruled 30% of federal services off-limits to AI agents. Every agent it does run is logged. **30%** — of UAE federal services ruled out for AI agents because the risk of a mistake is above the government's tolerance (Minister Omar Al Olama, WEF Annual Meeting of Global Future Leaders, Dubai, 14 October 2026, reported by Gulf News) Speaking in Dubai on 14 October, Minister of State for AI Omar Al Olama said about 70% of federal services can tolerate some AI. The other 30% carry too much risk, so they're off the table. Every agent plugs into one "control tower" that logs its actions. Anything affecting someone's livelihood is a red line. **Why it matters:** The UAE's 50% target isn't about using AI everywhere. It's about choosing carefully where it fits, and keeping a close eye on it there. **What to do:** Map your own processes the same way. Sort them by what a wrong decision would cost, and name the ones AI won't touch. Our playbook below shows how. *Source: [Gulf News](https://gulfnews.com/business/economy/uae-reveals-control-tower-to-monitor-ai-government-agents-1.500710167)* ### Saudi logistics puts AI agents on the routine work, and people on the rest ![Saudi logistics puts AI agents on the routine work, and people on the rest](https://blog.tascoutsourcing.com/hs-fs/hubfs/undefined-Nov-04-2026-07-27-15-9403-AM.webp?width=1200&height=800&name=undefined-Nov-04-2026-07-27-15-9403-AM.webp) Saudia Cargo's AI agents now prepare routine freight quotes in seconds. The tricky requests still go to people. **300,000+** — working hours a year saved at SAL Logistics Services by cutting repetitive tasks and manual processes (SAL Logistics Services, via Arab News, 24 October 2026) Saudia Cargo told Arab News on 22 October that its agents read quote requests by email, check capacity and rates, and build quotes. Unusual or high-value requests go to the sales team, and every action is logged. Nearby, SAL says its digital tools already save over 300,000 working hours a year. **Why it matters:** This is what AI value looks like in practice: narrow, repetitive work, clear rules, and people kept on the judgement calls. **What to do:** Find your own "routine quote" — high-volume work that follows clear rules. Start there, decide what gets escalated to a person, and plan what your team does with the time it frees up. *Source: [Arab News](https://www.arabnews.com/eye-on-ai/saudi-arabia-puts-ai-agents-to-work-in-logistics-and-tourism-3004616)* ## AI agents & your workforce ### How to tell if your AI hiring tool is actually paying off ![How to tell if your AI hiring tool is actually paying off](https://blog.tascoutsourcing.com/hs-fs/hubfs/undefined-Nov-04-2026-07-27-16-7078-AM.webp?width=1200&height=800&name=undefined-Nov-04-2026-07-27-16-7078-AM.webp) Gartner's advice this fortnight was simple: measure outcomes, not AI activity. In hiring, that means looking past how many CVs a tool processed to what actually changed for your team and your hires. #### Five steps to measure what your AI screener is really worth 1. **Write down your starting point.** Before you switch it on, record time-to-shortlist, recruiter hours per role and hiring-manager satisfaction. 2. **Pick two or three outcomes.** Faster shortlists, fewer interviews per hire or better retention after 90 days. Not "CVs screened". 3. **Keep a person on every decision.** With Hyrra.ai, a recruiter approves every shortlist and rejection. Track how often they overrule it. 4. **Check who gets screened out.** Each quarter, review a sample of rejected CVs. Make sure strong candidates aren't slipping through. 5. **Set a review date and a stop rule.** Agree upfront what result after six months means keep, change or stop. If you can't say what changed, you can't say it's working. Measure the hire, not the volume. ### How to redesign a role when AI takes over part of it ![How to redesign a role when AI takes over part of it](https://blog.tascoutsourcing.com/hs-fs/hubfs/undefined-Nov-04-2026-07-27-15-5914-AM.webp?width=1200&height=800&name=undefined-Nov-04-2026-07-27-15-5914-AM.webp) When an agent takes on part of a job, the job doesn't just shrink. It changes. Gartner found companies with plans to redesign roles are 2.4 times more likely to be getting real value from AI. #### Five steps to redesign a role around an AI agent 1. **List the tasks, not the title.** Break the role into its weekly tasks. Note roughly how much time each one takes. 2. **Mark what the agent takes.** Routine, rule-based tasks go to the agent. Judgement, relationships and exceptions stay with the person. 3. **Decide where the time goes.** Name the higher-value work the freed-up hours go to — like Saudia Cargo moving staff towards account management. 4. **Train for the new parts first.** Give people time and support to build the new skills before the old tasks disappear. 5. **Rewrite the job description and goals.** Update the role on paper and change how success is measured, so nobody is judged on old tasks. An agent changes the job either way. Better to redesign it on purpose than let it redesign itself. ## Volume Isn't Value: A Leader's Playbook for Choosing, Proving and Stopping AI Projects **Playbook.** Six steps to get more from AI by doing less of it, better. How to see everything you're running, define value before you start, draw the red lines AI won't cross, set stop rules for pilots and live tools, keep an eye on running costs, and redesign the work you keep. Written for C-suite and directors in the UAE and Saudi Arabia. [Read the playbook »](https://blog.tascoutsourcing.com/hubfs/TASC_Outsourcing/TASC%20AI%20Newsletters/Edition%2011/TASC-Report-Edition-11.pdf) ## Spotlight: AI-Assisted Hiring with Hyrra.ai **Hyrra.ai.** Hyrra.ai puts AI agents to work on the CV pile — it does the first-pass screening and cuts the time it takes to build a shortlist, with a recruiter in control of every shortlist and every rejection. That's the kind of AI this edition argues for: one high-volume job, clear rules, and a person accountable for every call. [See Hyrra.ai in action »](https://hyrra.ai/) ### Sign Up to our Newsletter Get the latest articles on all things data deliverd straight to your inbox. 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