Surveys and research
Vezetői felmérések és kutatások az AI-használatról, a bizalomról, a felelősségről és a szervezeti változásról.
Viewpoint
November 2026 · 11
McKinsey: AI can preserve CEO decision-making expertise within the organisationHungarian HR leaders' main concerns: demographics, AI, pay transparency and generational differencesHR-vezetőMust handle AI adoption, preparation for pay transparency and generational differences at the same time.Two-thirds of workers also use their own free AI tools, leaving companies without visibilityHR-vezetőHR leaders should align the AI usage policy and training with employees' real-world practice.SME ownerSmall-business owners need to assess which private AI tools staff use with client data.GKI says artificial intelligence has taken off at Hungarian companiesSME ownerGiven the catch-up in industry and construction, it is worth assessing where the company lags the sector average.Some firms rehire workers laid off because of AI, surveys and Gartner findHR-vezetőLayoff plans must account for the cost of rehiring and of lost knowledge.igazgatósági tagChallenge the AI assumptions behind layoff decisions.AI delivers productivity gains, but they are not yet visible in business results or transformationAI use is growing faster than control, and leadership and the front line see different picturesközépvezetőMiddle managers must bring front-line AI results into formal processes and data access.AI brings longer working days and weighs on employee moraleHR-vezetőMeasure workload and employee engagement alongside AI adoption metrics.középvezetőAlign team expectations with human capacity, not only AI-assisted productivity.AI productivity gains require redesigning work, McKinsey's Harrysson saysközépvezetőMust redesign teams' workflows, not just hand them a tool.CEOs mandate AI use while barely using it themselves, survey findsHR-vezetőWhen building AI use into performance reviews, must clarify what counts toward performance.középvezetőMust align senior management's expectations with the team's actual experience.Kaplan research: HR and L&D leaders grasp AI challenge but lack budget and decision authorityHR-vezetőHR must ask leadership for budget and decision authority for development plans.
October 2026 · 49
Hungarian firms' staff fear for their jobs and may be slowing AI adoption, mfor.hu reportsSME ownerInstead of expecting spectacular results from trying out ChatGPT, plan realistic goals and time for learning.HR-vezetőA communication and retraining plan is needed to address job fears.IBM TechXchange: eight in ten executives report AI incidents, keeping agents in check is keyRandstad: AI implementation brings net workforce growth; 93% of US employers are expanding tech teams.HR-vezetőTalent scouting must shift toward AI capabilities because competition is increasing.DDI: Only 17% of leaders feel confident managing changes driven by AI and restructuringHR-vezetőChange management must become a priority topic in leadership development.középvezetőSelf-improvement must focus on change management skills.Organisations getting the most value from AI are also redesigning workHR-vezetőAI fluency and leadership development should be part of the rollout, not after-the-fact training.EY-Parthenon CEO survey: 1,200 leaders in 21 countries see AI growth held back by old obstaclesAnthropic study: AI can quietly influence experts' decisionsközépvezetőAt team level, require that the recommendation and its rationale are documented separately.More than a third of Singapore office workers cannot spot an AI-forged CEO message, survey findsHR-vezetőStaff training on recognising AI impersonation must be held.CEOs and employees see AI rollout differently, revealing a trust gapHR-vezetőTrust indicators should be tracked separately, because loss of trust eats into discretionary effort.középvezetőWhen mediating between top management and the team, concerns that are voiced should be passed upward.Leaders' readiness for AI change: a quarter of HR chiefs and 17% of leaders feel confidentHR-vezetőThe readiness gap should be closed through own skills development (AI, ethics, succession, workforce planning).középvezetőChange-management skills should be deliberately developed, because the managers' own leaders are not ready either.AI and middle managers: BCG survey on 2030, Gartner forecast on flatteningközépvezetőKeeping the position requires AI leadership skills: dividing tasks between humans and machines and checking the quality of output.HR-vezetőRole descriptions and the training programme for the middle-management layer need to be redesigned.Deloitte: AI, costs and data security strengthen the CFO's strategic roleHR-vezetőBuilding financial talent and skills can be a joint programme with the CFO.Survey: executives twice as likely as staff to trust AI over their own judgmentigazgatósági tagShould ask how far senior management challenges AI recommendations in high-stakes decisions.BellResearch: 40% of Hungarian software developers assess AI's business benefits from experienceSME ownerSmall and medium-sized enterprise (SME) owners should introduce numerical metrics to measure AI's impact.Sopra Steria: fewer than 20% of automated AI decisions have an identified ownerközépvezetőNeeds to know which automated decisions they are responsible for in their own area.igazgatósági tagShould ask for a decision register and traceability.HBR research: people who turn to AI instead of colleagues trust and coordinate lessközépvezetőMust deliberately encourage consultation among colleagues alongside AI use.HR-vezetőAI usage guidelines must preserve a place for human collaboration.Reports: AI is changing leadership faster than organizations are adaptingHR-vezetőLeadership development programs should be aligned with the leadership tasks of the AI era.középvezetőMiddle managers will need to learn new skills.Companies risk losing their most capable employees in the AI raceHR-vezetőMust offer AI skills development as part of retention.középvezetőMust also plan their own development path.Splunk: AI agent adoption is outpacing oversightigazgatósági tagShould ask for evidence of oversight coverage.CNN: share of organizations deploying multiple AI agents more than quadrupled in a quarterIBM: 80% of EMEA leaders saw an AI incident reach the board, with accountability splitigazgatósági tagShould require that every AI incident has a named owner.Gartner: few CIOs see transformational value from AI, and 44% of CEOs struggle to show returnsigazgatósági tagWhen approving AI investments, should ask for measurable business results rather than tool-deployment metrics.EY: only 14% of UK CEOs have a full view of AI costs and returnsigazgatósági tagShould put regular AI ROI reporting on the agenda.Gartner: only 4% of CIOs have a plan to redesign roles for a human–agent workforceHR-vezetőStart redesigning jobs and competencies together with IT, as most organisations have no plan yet.CAQ: for audit committees, AI governance has overtaken cybersecurity as a concernigazgatósági tagShould put AI governance and data governance skills on the audit committee agenda.Betterworks study: the AI era needs better, not fewer, managersHR-vezetőShould invest in leadership development rather than in narrowing the management layer.középvezetőThe value of human leadership skills is rising.CEO confidence falls in Q4, with cybersecurity and AI among top five risksStudy examines what shapes perceptions of fairness in AI-driven decisionsHR-vezetőFor AI-based personnel decisions, HR leaders must ensure explainability and data relevance.Team dynamics weaken when employees turn to AI instead of colleagues, report saysközépvezetőWatch whether questions and feedback in your team are shifting to AI, and keep human collaboration points in place.CEO surveys: AI gains are hard to turn into growth, and few can see the paybackigazgatósági tagAsk for ROI evidence on AI programmes, not just usage figures.Half of finance chiefs would rather follow AI than their own instinctigazgatósági tagAsk the finance leadership how much it relies on AI recommendations and how it checks them.IBM study: eight in ten UK enterprises escalate AI incidents to board or C-suiteigazgatósági tagExpect AI incidents to reach the board, so an escalation path should be agreed in advance.Surveys: workers use AI, but leaders' goals and rules are not reaching themHR-vezetőMeasure actual AI use and policy workarounds, not just whether a policy exists.középvezetőGive your team concrete guidance on what AI can and cannot be used for.Only 5.2% of tech leaders very confident in explaining their AI decisionsigazgatósági tagDo not accept an AI recommendation without an explanation in a critical matter.Surveys cover Hungarian SMEs' AI use and "shadow AI" at small businessesSME ownerFind out which AI tools staff use, and introduce a documented approval step.AI is shaping performance reviews, but transparency lagsHR-vezetőMake it clear to employees where and how managers use AI in reviews.középvezetőTell your team if you use AI in reviews, and remain responsible for the final judgment.Australian survey: AI confidence outpaces governance in marketingközépvezetőIntroduce a checking step before an AI recommendation becomes a marketing decision.Minner State of AI 2026: another Hungarian study on companies' AI useThoughtworks: CIOs take on more of the AI workforce redesign as governance lagsHR-vezetőAgree a shared accountability and collaboration model with the CIO for workforce redesign.Middle managers almost twice as likely as executives to want humans in the loop on security-sensitive AI decisionsközépvezetőAccording to the survey, it is worth asking for an approval step in sensitive AI decisions and agreeing this with leadership in advance.Report: managers use AI to avoid awkward conversationsHR-vezetőStrengthen practice in difficult feedback and conflict handling as a distinct part of leadership training.középvezetőConversations that need personal contact should not be delegated to AI.Deloitte survey: about 80% of organisations lack mature governance for agentic AIigazgatósági tagBefore agents are deployed, ask for a report on governance maturity.Few CHROs feel confident they can manage AI-driven changeHR-vezetőMeasure employee sentiment through direct data collection rather than relying on leaders' impressions.középvezetőAddress team concerns openly and do not read them as excitement.Indian analysis examines directors' duties on board oversight of AI risk and algorithmic decisionsigazgatósági tagOversight of algorithmic decisions may form part of directors' duty of care, so a documented oversight process is needed.Goldman Sachs: AI threatens middle managers as new graduates could do senior-level work from day oneközépvezetőMiddle-management value is shifting from coordination to judgment, coaching and AI oversight, so this role is worth reshaping deliberately.HR-vezetőA review of management roles, spans of control and promotion criteria is due.Executives use AI more than their staff do, but many overstate their knowledgeHR-vezetőExecutive AI training should name the knowledge gap openly and give a safe space to admit it.Surveys: AI delivers value, but scaling and returns lag at many organizationsResearch finds AI can develop its own hiring biases; HR needs human oversightHR-vezetőFor AI-based screening, require regular bias testing and human review.British business leaders are sceptical of AI while administration eats up their time
September 2026 · 49
BCG: how leaders talk about AI predicts how well adoption goesközépvezetőMust consistently convey the purpose and limits of AI to the team.PwC survey of 50,000 workers: AI is creating a two-speed workforceHR-vezetőTraining and support plans should differ by group, because AI proficiency also affects how secure people feel at work.középvezetőThey need to assess the knowledge gap within the team and give targeted support to those falling behind.Surveys: AI delivers value, but few organisations scale it and CEOs struggle to turn it into growthHalf of employees hide their AI use, and many do not check AI outputközépvezetőCreate a climate where AI use is open and doubt is not treated as resistance.HR-vezetőDevelop clear rules and expectations for AI use and for checking its output.Talogy survey: 78% of HR leaders fear AI is eroding leadership skillsHR-vezetőLeadership development must deliberately replace the experience that AI removes from everyday work.Fewer than 1% of Hong Kong large-cap directors have AI expertise, Grant Thornton findsigazgatósági tagA lack of AI expertise is a weak point in board oversight and should be remedied through training or by bringing in a new member.Bell Research: 84% of Hungarian business leaders use AI, but fewer use it for workSME ownerWithout deliberate AI governance, usage remains unchecked.66% of IT leaders measure AI results, but only eight would wake the CEONearly half of CFOs say they would follow AI over their gut feelingInside Higher Ed: about 70% of provosts use AI weekly in their own workDeloitte–CAQ survey: 54% of audit committees pay closer attention to emerging risksigazgatósági tagAsk for regular reporting on AI risks and bring them onto the audit committee's agenda.McKinsey: AI agent costs are variable, with up to a 30-fold differenceSME ownerIntroduce a usage-based budget and monitoring.Insurers report 81% premium gains from AI, but only 23% have embedded it enterprise-wideHR leaders fear AI will shrink the leadership pipelineHR-vezetőAssess where entry-level work that provides learning is disappearing, and build a deliberate development path to replace it.IBM CHRO study: 60% of employees fear AI is eroding their skillsHR-vezetőClaim a seat in AI adoption decisions, and put the development of critical thinking at the centre of the training plan.középvezetőDeliberately keep tasks in the team that exercise independent thinking.Who is responsible for AI at the company? Chief AI officer hiring and remit patternsHR-vezetőSurvey the market, because AI leadership talent changes quickly.igazgatósági tagAsk who holds actual decision-making and risk responsibility.PwC survey and Canadian and US board experience point to AI literacy gaps in boardroomsigazgatósági tagAssess your own AI literacy and, where needed, arrange outside expertise or training.AI incident response and governance lag behind adoption, ISACA, BARC, Gartner and Indonesia reports findigazgatósági tagLiability and vendor accountability frameworks should be checked.AI-driven middle-management cuts: what do companies lose with the managerial layer?középvezetőAfter AI takes over routine tasks, emphasise coaching, trust-building and judgement in the role.HR-vezetőRethink middle-management career paths too if the layer is shrinking.Report: AI speeds Gen Z's path to leadership rolesHR-vezetőAssess whether younger people who become leaders faster receive enough mentoring support.Deloitte UK: British workers spend £958 million of their own money on AI toolsHR-vezetőFind out which AI tools staff are turning to, and tailor training and policy accordingly.Deloitte Hungary: AI is a strategic issue for finance leaders, but most companies are still hesitatingNotre Dame: the invisible work of AI falls disproportionately on middle managers and womenközépvezetőDocument the extra work that comes with AI adoption, and ask for it to be recognized in performance reviews.HR-vezetőAssess who is carrying the coordination of the AI transition, and factor this into workload allocation and promotion.AI engineers say they know AI's ethical risks, but workplace culture silences themközépvezetőSet up a safe channel through which your team can raise ethical concerns without risking their careers.HR-vezetőProtect those who raise concerns, and check that performance reviews do not penalise reporting.Surveys: autonomous AI deployment is outpacing oversight, with companies bypassing controls for speedigazgatósági tagThe oversight gap is a matter of board responsibility, so ask for regular incident reports.középvezetőUnder speed pressure you may be the one deciding whether to bypass oversight, so ask for a clear escalation rule.Governing AI agents: HBR research finds managers working with agents take less responsibilityközépvezetőYou are also responsible for an agent's output, so name who approves it.HR-vezetőAgents can be treated as colleagues only if human accountability remains, so record this in role descriptions.McKinsey: productivity falls at 30% of companies using agentic AIközépvezetőMeasure your team's actual output before and after agents are introduced.BetterUp and Stanford: AI displacement costs a 10,000-person company $27 million a year in turnoverHR-vezetőMeasure the turnover cost of AI adoption, and build an early-warning system on the three warning signs.középvezetőCheck that the team's actual capability remains behind AI outputs.Nonprofits' use of AI outpaces training and guidelinesközépvezetőAsk why your team distrusts AI, and provide hands-on training.Gen Z leaders use AI to speed up their path into management, Hungarian outlets reportHR-vezetőWhen selecting and developing young leaders, AI skills should be assessed separately.ABBYY survey: business leaders disagree on who is responsible for AIigazgatósági tagShould ask whom management regards as responsible for AI risk and AI failures.Overuse of AI may hurt leaders' judgment and credibility, research suggestsközépvezetőAI use should be handled transparently in front of the team, and the manager should own the reasoning behind decisions.HR-vezetőLeadership development should set out which decisions must not be left to AI.Half of CISOs see frontier AI models as a sign to leave the professionHR-vezetőBurnout and departures among security leaders are a risk, so a retention plan is needed.Half of UK firms fear staff are feeding company secrets to AIHR-vezetőRules on employee AI use should be reinforced with training and accountability.Gallagher: workforce turnover and AI-driven change weigh on organizational effectivenessHR-vezetőBuild workforce planning around the combined effect of turnover and AI-driven change.Most Hungarian companies use AI, but deep integration and returns lag behindSME ownerUse alone does not deliver returns, so it is worth setting goals tied to specific processes.CIOs are blamed for AI mistakes, often without the authority to prevent themigazgatósági tagShould check whether the CIO has real authority to manage the risks.More than half of government bodies use AI, but fewer than half have a policyAI-driven layoffs often fall short of expectations, and cutting too deep can lead to rehiringHR-vezetőShould base headcount decisions on reorganising tasks and roles rather than simply eliminating positions.igazgatósági tagShould ask for an estimate of expected savings and rehiring risk when a cut is proposed.Board oversight of AI risk grows, but executive structures remain unpreparedigazgatósági tagAI risk should have a named owner and a regular place on the board agenda.Workers trust judgment over tools, and do not yet trust agentsközépvezetőResistance from experienced staff should be treated as a concern about protecting knowledge, not as inhibition.HR-vezetőAI rollout communication should address the experienced 35–54 age group separately.AI payback gap: most firms use AI, few see measurable impactigazgatósági tagAsk for concrete ROI data on AI programmes.Eagle Hill study: AI is reshaping work, but leadership and culture lag behindHungarian research to measure gap between workers' AI values and realityIndia's CFOs trust AI, but only 8% see measurable valueigazgatósági tagBoard members should hold AI projects to account for returns using measurable indicators.SAS: organizations with trustworthy AI practices see stronger returnsExecutives dissatisfied with workforce data as AI-era planning models fall behindHR-vezetőSkills, headcount and contractor data should be managed in a shared view with finance and procurement data.McKinsey: 32% of enterprises bet on agentic coding tools in build-vs-buy decisionsHirji: the shape of the organisation after AI will not necessarily be smaller
August 2026 · 51
65% of enterprises have seen AI agents act outside their scope; practitioners call for new governance modelAI oversight is a board matter: expertise, accountability and sanctionsigazgatósági tagAssess the board's AI literacy and clarify which committee asks about AI risks.TalentNeuron: AI is driving workforce redesign, not just reductionsHR-vezetőDevelop an AI workforce strategy before layoffs, one that raises the combined value of people and AI systems.Deloitte surveyed 3,235 leaders on the state of enterprise AIGlassdoor: workers grow more critical of AI, and leadership shares the blameHR-vezetőMeasure employees' attitudes to AI and examine how far leadership communication is causing the loss of trust.Study: persuasive AI explanations lead reviewers to accept bad decisionsigazgatósági tagAsk how the actual effect of human review is measured.Two-tier AI workforce emerging as nearly 40% of employees fear skills gap with colleaguesHR-vezetőHR leaders must address the inequality in AI skills to prevent internal rivalry and tension.középvezetőMiddle managers need to ensure equal access to AI tools and learning within their teams.Japanese survey: 73.9% of managers have never asked generative AI about team members' problemsközépvezetőAI is still little used as a sparring partner in developing direct reports; managers can deliberately try it out.HR-vezetőAI-supported coaching can have a place in leadership development programmes.Most CEOs in PwC survey of 4,454 saw no impact from AIigazgatósági tagThey should ask AI programmes for concrete revenue and cost metrics.SME ownerBefore investing in AI, they should define a measurable business goal.69% of leaders see AI rollouts as successful, but only 53% of users doközépvezetőThey should pass their team's experiences directly to senior management.AI value comes from changing the operating model and processes, not from the algorithmközépvezetőThe reorganisation of the affected workflow should be initiated in their own area.Only 2.6% of companies link AI to executive payigazgatósági tagThe remuneration committee should consider which AI outcomes are worth measuring in executive incentives.HR-vezetőWhen building AI goals into incentives, distorting metrics should be avoided.McKinsey says AI is "on the road to ROI", but scaling is slowSME ownerSmaller firms' lack of scaling suggests shifting the focus from pilots to selected processes.Managers who use AI daily report the heaviest coordination burden and risk becoming a bottleneckközépvezetőCoordination burden grows with AI, so they should ask their own manager for team and tool support.HR-vezetőSupport for managers (training, time, tools) is a critical condition for AI adoption.AI targets middle management and could take over half of the managerial jobközépvezetőInformation-organising and coordination tasks are being automated, so they should move towards human judgement and team leadership.HR-vezetőThe middle-management career path and role descriptions need to be redesigned.Executives feel in control of AI-assisted decisions: the "Perceived Control Gap"igazgatósági tagIn decision preparation, board members should examine the influence of AI and the actual level of control separately.Live experiment tests whether AI models can be trusted with business decisions under pressureigazgatósági tagFor decisions made or prepared by AI, require human approval and review points.UK survey: more than a third of employees say an AI manager could boost productivityközépvezetőSome of your reports are already open to AI management, so clarify where a human manager adds more.HR-vezetőWhen designing AI oversight roles, also measure how employees receive them.Workplace survey: employees trust coworkers before AIközépvezetőHuman judgement stays in the decision chain, so reinforce it within the team.HR-vezetőState in the AI policy that AI supports but does not replace the accountable person.Fortune: C-suite does not know who is in charge of trillion-dollar AI spendingigazgatósági tagAsk management whose name stands behind the results and risks of AI investments.Researcher: AI should transform the strategy process but never make the final callLinkedIn: women hold just 13% of AI executive jobs globallyHR-vezetőIn succession planning for AI leadership roles, manage gender balance deliberately.igazgatósági tagAsk about the composition of the candidate pool for CAIO and other AI leadership roles.Deloitte: most US companies fail to move AI agents beyond experimentationközépvezetőExpect your team to take on supervising agents, so assess its readiness now.HFS Research: executives increasingly see AI reliability as the main problemközépvezetőExpect that checking AI outputs will become your responsibility.The AI optimism gap and keeping worker trust: leaders at 76%, employees at 31%HR-vezetőMeasure the gap between leaders' and employees' AI optimism, and introduce open communication.középvezetőAddress the team's fears openly, because trust is a precondition for AI adoption.Gallup: managers are key to AI adoption, but many companies do not support themközépvezetőAI oversight and supervision of human-agent teams are becoming part of the managerial remit, so ask for training and authority.HR-vezetőTreat manager training as a critical path of AI adoption.Hidden AI use: half of workers do not admit it, and executives use unsanctioned AI twice as oftenHR-vezetőAssess the extent of concealment and make it safe to disclose AI use.középvezetőDo not punish admitting AI use, because secrecy undermines team trust and oversight.DLA Piper report: ANZ decision-makers confident on AI but concerned about governance and accountability gapsigazgatósági tagUse the report as a benchmark for measuring the gap between confidence and governance maturity.Study: CEOs overestimate how ready managers are for AI-related difficult conversationsHR-vezetőBuild a communication and training programme for managers on difficult AI-related conversations, including those about pay.középvezetőPractise explaining workplace changes and the role of agents to your team.aibl survey: leaders who use AI get better results, with governance and capability the differenceSME ownerUse AI yourself and build governance rules, because this is what distinguishes leaders from laggards.Measuring whether AI is really behind layoffs or it is just AI-washingHR-vezetőIn communicating layoffs, avoid unfounded AI explanations and have evidence behind them.igazgatósági tagAsk for data on whether AI is actually causing the headcount changes.Most business leaders expect AI to grow workforces, not shrink themHR-vezetőIn headcount planning, model the growth scenario as well, not only the downsizing one.Rapid7: security operations centers trust AI, executives less soközépvezetőAccepting the team's trust is not enough: middle managers should give leadership transparent oversight data.Deloitte: tech leaders say mass adoption of AI agents is years awayWorkiva survey: one in four executives say AI errors have reached the board or external audiencesigazgatósági tagBoard members should ask about the quality-control chain for reports, because errors have already reached boards.CEOs weigh job cuts as AI adoption grows; AI training eases the effectHR-vezetőEmployer-supported AI training is linked to preserving trust, and trained staff show up to 1.5 times the results.középvezetőIn headcount-reduction plans, the middle manager must handle team trust and the transition.Bluebird: the IT pay boom is over, restructuring replaces management hiringHR-vezetőEmployer appeal must be built on factors other than pay.SME ownerInstead of hiring a new manager, tasks can also be redistributed through restructuring.középvezetőMiddle managers should expect their responsibilities to expand and be redistributed.Inc. 5000 CEO survey: fast-growing companies are hiring, not cuttingSME ownerAt fast-growing companies, hiring remains a priority alongside AI, so the layoff narrative does not hold across the board.MIT Sloan Management Review Middle East: lost expertise is the hidden cost of AI agentsHR-vezetőMake knowledge retention and the upkeep of expert skills part of the training plan.Study of 11 European IT service firms finds leaders are slowing AI strategyBCG: 74% of knowledge workers use AI, but organizational adaptation lagsHR-vezetőWork redesign and leadership skills development should accompany AI rollout.Managers are not ready to lead the AI-capable teams they are hiringHR-vezetőManager development programmes need to be rebuilt around leading AI-capable teams.középvezetőManagers must assess their own skills gaps and develop to lead staff who use AI.KPMG: nearly half of executives pulled back AI agents over cost; EY creates new roleEuropean surveys: three-quarters of organisations see limited benefits from AIWithout organisation-wide workflow redesign, individual AI gains do not become company valueHungarian IT survey: AI brought leadership dilemmas, not a pay surge, in the talent raceHR-vezetőRecruitment and pay strategy should be reviewed in light of the survey's findings, rather than built on an assumption of a pay war.középvezetőManagers must handle the new dilemmas over team composition and capacity.Survey: 59% of managers ask AI whom to lay offHR-vezetőRules are needed on what AI may be used for in redundancy decisions, and on who approves and documents the human decision.középvezetőWhen preparing redundancy lists, it must be clear what data and model were used and where their own responsibility for judgment lies.Boards lag on AI readiness as expertise is scarce and D&O risk risesigazgatósági tagClosing the AI expertise gap (training, outside advisers) and a documented oversight framework can reduce liability exposure.Governing AI agents: decision rights, change control, kill switches and audit trails are missingigazgatósági tagAsk management for an audit trail and an agent inventory, because accountability stays with the company.Surveys: executives unsure about AI readiness, value hard to measureHR-vezetőThe surveys point to a more cautious, data-backed readiness roadmap.Middle management layers thin out, and those who remain lag in AI useközépvezetőWithout AI competence, a middle manager may become the first target of flattening, so it is worth leading your own team's AI use.HR-vezetőBefore flattening, assess where coordination and talent development would be lost.