{"slug": "barings-boeing-and-bots-the-promises-and-perils-of-delegation", "title": "Barings, Boeing, and Bots: The Promises and Perils of Delegation", "summary": "Delegating work to AI agents is neither inherently wise nor reckless, but requires the same careful management as human delegation and organizational outsourcing, with attention to task suitability, controls, and accountability. Historical failures like Barings Bank's collapse and Boeing's 787 Dreamliner problems illustrate the risks of poor delegation and outsourcing, while autopilot systems show successful AI delegation when properly managed.", "body_md": "For decades the accepted management wisdom has been for managers to delegate tasks and for organizations to outsource activities that aren’t core to their operations. Yet, when the proposed delegate or supplier is an AI agent, these established practices are suddenly portrayed as irresponsible, dehumanizing, or even immoral. Much of this resistance has all the marks of a moral panic: a novel technology is judged through its most alarming failures, its benefits are discounted, and its use is treated as crossing a boundary rather than as another management decision. Here’s the thing: delegating work to an AI agent is neither inherently wise nor inherently reckless. As with human delegation and organizational outsourcing, what matters is the task, the controls, and who remains accountable.\n\nManagers delegate because their time, attention, and expertise are limited. A capable subordinate may know more about a task, be closer to the relevant information, or simply have the time required to perform it properly. Delegation can also develop employees by giving them progressively more demanding responsibilities. However, managers delegate execution, not accountability. Effective delegation requires a clear outcome, sufficient authority and resources, appropriate constraints, progress checks, and an escalation path should things go wrong. A task shouldn’t be delegated when its consequences exceed the delegate’s authority or competence, when the manager can’t evaluate the result, or when the work is so sensitive that failures can’t be detected and corrected in time. We would rightly be appalled if an airline pilot delegated landing to an untrained flight attendant and remained in the cabin chatting with a passenger. On the other hand pilots routinely delegate well-defined flight phases to the autopilot.\n\nPoor delegation can amplify information asymmetry,\nmisaligned incentives, and misplaced confidence.\nA delegate may hide problems, optimize the measured target rather than\nthe desired outcome, or continue along a failing path because admitting\nfailure is costly.\nThe [1995 collapse of Barings Bank](https://en.wikipedia.org/wiki/Barings_Bank#1992%E2%80%931995)\nis a striking example.\nNick Leeson effectively controlled both trading and the corresponding\nback-office operation, while ambiguous reporting lines left nobody\nclearly responsible for supervising him.\nThis allowed unauthorized trading and concealed losses to continue until\nthey brought down a 230-year-old institution.\nThe resulting inquiry, rather than blaming delegation,\nfound that management had failed to understand the delegated activity,\nseparate duties, establish controls, and act on warnings.\n\nOrganizations also outsource activities, again for reasons similar to those that lead managers to delegate. An external supplier may possess specialized knowledge, infrastructure, economies of scale, or access to talent that would be costly to develop internally. Outsourcing can turn fixed costs into variable ones, increase flexibility, and allow an organization to focus its management attention and resources on activities that differentiate it. However, “non-core” shouldn’t be confused with tedious, expensive, or poorly understood. An activity may be strategically important because it preserves domain knowledge, controls a critical interface, or provides the ability to evaluate suppliers. Sensible outsourcing therefore retains sufficient internal expertise to specify the work, integrate the result, assess its quality, and replace the supplier when necessary.\n\nOutsourcing isn’t without risks.\nIt introduces coordination costs,\ncontractual rigidity, supplier dependence, security exposure,\nand the gradual erosion of internal capability.\n[Boeing’s 787 Dreamliner](https://en.wikipedia.org/wiki/Boeing_787_Dreamliner)\nillustrates [what can happen](https://www.reuters.com/article/2011/01/20/us-boeing-dreamliner-idUSTRE70J2UX20110120/)\nwhen an organization\noutsources too much of the knowledge required to coordinate production.\nBoeing distributed major aircraft sections across a large global supplier\nnetwork, expecting partners to deliver completed assemblies.\nThe program ended up nearly three years behind schedule and billions of\ndollars over budget.\nBoeing itself acknowledged that it had attempted\ntoo much outsourcing alongside too many other innovations.\nOutsourcing complicated integration work,\nwhile weakening Boeing’s ability to see and fix problems at their source.\n\nTechnology-induced moral panics follow a familiar pattern.\nA new medium or technology appears, becomes popular\n— especially among younger people —\nand is blamed for intellectual decline, moral corruption,\nsocial isolation, unemployment, or violence.\nNovels, radio, television, comic books, video games, and smartphones\nhave all occupied this role.\nSometimes entrenched interests amplify these fears.\nResearch on these recurring technology panics warns that emotionally\ncharged claims often run ahead of the available evidence and\nlead to poorly targeted research and policy.\nPast alarms often look quaint because the eventual harms differ markedly\nfrom those originally predicted, while public concern shifts to the next\ntechnology.\nA particularly striking example is the\n[red-flag traffic laws](https://en.wikipedia.org/wiki/Red_flag_traffic_laws),\nwhich required early automobiles to be preceded by a person carrying\na red flag.\nThe absurdity of the prescribed remedy didn’t mean that automobiles\nwere harmless:\napproximately one million people die each year\nas a result of road traffic crashes.\nNovels can spread bad ideas, television can waste time, and smartphones\ncan be addictive.\nHowever, harms should be identified and mitigated rather than used\nto condemn an entire technology.\n\nDelegating to an AI agent resembles human delegation and outsourcing in many important management respects. The principal must specify the desired result, provide the authority necessary (and not more), monitor progress, verify the output, and remain accountable. However, AI agents introduce very different operational characteristics. They operate extraordinarily fast, can make thousands of changes before a person would complete one, and can produce convincing but subtly wrong results. Their effectiveness and currently low cost can also encourage us to delegate tasks that weren’t worth doing in the first place. These differences call for tighter technical controls: tests, access restrictions, review gates, audit trails, spending limits, and easily reversible actions.\n\nAI agents also differ from both employees and conventional\nsuppliers in several consequential organizational ways.\nEmployees are recruited, trained, socialized, and gradually entrusted with\nbroader responsibilities;\nthrough this process\nthey acquire institutional knowledge,\ndevelop judgment,\nform relationships, and\nmay grow into roles the organization will need later.\nAn AI agent doesn’t normally undergo this development,\nretain dependable memories of past work, or\nbecome committed to the organization’s success.\nReplacing people with agents may save costs in the short term,\nbut eliminate future expertise,\nmanagerial capacity, resilience,\nand the informal knowledge through which organizations often function.\nNor are we necessarily equipped to supervise our new delegates.\nWe have learned to recognize evasion, inexperience, and poor judgment\nin people, but not fabricated evidence, subtly corrupted code,\nsycophantic agreement, or fluent reasoning built on a false premise.\nWorse, we’re also likely to lack the\n[metacognitive monitoring and judgment](https://www.spinellis.gr/blog/20260523/)\nrequired to evaluate AI agents.\nFurthermore, agents operate at a scale and speed that can turn\na small misunderstanding into thousands of consistent errors,\nwhile dependence on externally controlled models\nexposes the organization to silent changes\nin behavior, pricing, availability, and data-handling policies.\nUnlike a conscientious employee, an agent is often unlikely to\nhesitate, object, protect a colleague, report an ethical concern,\nor notice that a formally correct instruction is organizationally absurd.\nThese differences strip AI delegation of many human safeguards and\nmultiply its effects by the agents’ speed and reach.\n\nWe should therefore delegate to AI agents tasks that are bounded, observable, reversible, and supported by objective checks. We should let them search, summarize, classify, draft, test, transform, and implement changes where failures have a limited impact and where a competent person can review the result. We shouldn’t delegate final responsibility for safety-critical decisions, employment and legal judgments, irreversible financial transactions, or important work whose quality nobody in the organization can assess. We should also avoid delegating the very thinking we’re trying to develop. Emerging research associates heavy AI-mediated cognitive offloading with reduced critical-thinking effort and weaker independent evaluation. Just as a manager who delegates everything eventually loses touch with the work, a professional who delegates all analysis may gradually lose the ability to perform—and, more dangerously, to judge—it. Rather than resist AI delegation, we should delegate deliberately, retain the expertise needed to supervise it, and never outsource accountability.\n\nLast modified: Wednesday, July 15, 2026 6:54 pm\n\nUnless otherwise expressly stated, all original material on this page created by Diomidis Spinellis is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).", "url": "https://wpnews.pro/news/barings-boeing-and-bots-the-promises-and-perils-of-delegation", "canonical_source": "https://www.spinellis.gr/blog/20260715/", "published_at": "2026-07-15 16:38:18+00:00", "updated_at": "2026-07-15 16:58:37.922128+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "ai-ethics", "ai-safety"], "entities": ["Barings Bank", "Boeing", "Nick Leeson", "787 Dreamliner"], "alternates": {"html": "https://wpnews.pro/news/barings-boeing-and-bots-the-promises-and-perils-of-delegation", "markdown": "https://wpnews.pro/news/barings-boeing-and-bots-the-promises-and-perils-of-delegation.md", "text": "https://wpnews.pro/news/barings-boeing-and-bots-the-promises-and-perils-of-delegation.txt", "jsonld": "https://wpnews.pro/news/barings-boeing-and-bots-the-promises-and-perils-of-delegation.jsonld"}}