Brian Solis 09月29日
AI 发展迅速,企业落后于现状
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文章探讨了人工智能技术飞速发展与企业组织应对能力之间的差距。调查显示,尽管高管层普遍认为公司在AI方面有清晰的愿景和战略,但基层员工的认知却截然不同,普遍感到信息不足、缺乏赋权。这种“幻觉”体现在对AI战略、成功和控制力的看法上,高管与员工之间存在显著的认知鸿沟。文章进一步指出,CEO们也面临挑战,承认AI对领导力、决策和企业生存方式的重塑,并意识到自身可能面临被AI取代的风险。报告建议企业应重视AI素养,将AI融入决策和战略规划,并建立AI转型办公室,以应对AI时代的挑战。

📊 **AI 发展与企业落后的差距**:文章指出,AI技术的进步速度远超许多传统企业的适应能力。尽管CEO们普遍认为公司在AI领域拥有战略和能力,但基层员工的感知却大相径庭,显示出高层愿景与一线执行之间的脱节。这种脱节体现在员工普遍感觉未被充分告知、赋权和纳入考量。

🤔 **AI 战略与执行的认知错位**:调查数据显示,近90%的高管认为公司拥有AI战略,但仅有57%的员工认同,这表明AI战略并未有效转化为员工的日常工作现实。同样,在AI采纳的成功度和控制力方面,高管与员工的评估也存在显著差异,凸显了沟通和执行层面的挑战。

🚀 **领导力转型的迫切性**:文章强调,AI正在重塑商业运作模式,并重新定义领导力。CEO们承认,若无法在AI业务上取得进展,他们可能在两年内面临失业风险。报告建议,领导者需要从AI实验转向执行,将AI视为绩效预期和竞争驱动力,并建立AI转型办公室,以推动AI原生业务模式的发展。

🤝 **AI 赋能与协作的新模式**:为了弥合认知差距并推动AI转型,文章提出需要建立AI领导力联盟,跨职能协调决策,并引入外部力量进行AI技能提升。同时,将决策权下放给经过训练、能够快速洞察的AI赋能团队,是实现AI时代企业效能的关键。

Let me ask you a question…

What’s moving faster, AI innovation or the rate at which organizations fall behind?

While AI continues to advance at breakneck speed, many legacy companies are struggling to keep pace. The real challenge isn’t the technology itself, but the growing gap in alignment and execution. Most CEOs and board members believe they’re confidently leading their organizations into the AI era. Yet new data reveals a stark disconnect between the C-suite and frontline employees when it comes to what’s actually happening on the ground.

According to an Axios survey that interviewed CEOs and their employees, separately, AI vision, strategy, and capacity may be a dangerous illusion.

Axios learned that CEOs may feel they are steering their companies into an AI-powered future. But if the people responsible for delivering on that vision don’t feel informed, empowered, or included, then the transformation will fail to take root. Sound familiar?

Let’s talk about it!

C-Suites are mistaking AI vision with tactical strategy. And they’re mistaking AI strategy for strategy activation. Employees don’t feel the impact, which means vision isn’t articulated and strategy isn’t embedded.

The Illusion of Vision and StrategyNearly 90 of C-Suites say their company has an AI strategy. Yet only 57% of employees believe that to be true.

This suggests that while the strategy might exist in executive slide decks or boardroom conversations, it hasn’t been translated into the day-to-day reality for most employees. For them, the strategy is either invisible or irrelevant. Again, sound familiar?

The Illusion of SuccessExecutives also believe they’ve made meaningful progress. Seventy-five percent say the company has been successful in adopting AI over the past 12 months. But just 45% of employees agree. If employees aren’t feeling the impact of success, that means the change isn’t penetrating deeply enough. If those delivering the work don’t feel the benefits, innovation won’t scale.

The Illusion of ControlAnother significant divide emerges when asked whether the company’s approach to AI is “well-controlled and highly strategic.” While 73% of C-suite leaders say yes, only 47% of employees agree. That’s a 26-point gap in perception and reality!

A strategy is only as effective as it is understood and executed across the organization. If people perceive confusion or chaos where leadership sees control, well, you can imagine what happens next.

From Illusion to IntrospectionIf the first set of data reveals a disconnect between leadership and the workforce, the second reveals something even more revealing. Here, we shift to a profound introspection among CEOs themselves. They reveal more than disconnects in communication. They’re disconnects of modern leadership.

The illusion of progress is being shattered by the very leaders tasked with shaping the future. CEOs are quietly confessing that AI is transforming how businesses operate. And it’s redefining who leads, how decisions are made, and what it takes to stay relevant.

Let’s compare these findings to the Dataiku/Harris, “Global AI Confessions Report: CEO Edition.” This survey of 500 CEOs worldwide unveils startling admissions and revelations of Al’s impact on corporate leadership and competitive survival.

94% of CEOs admit an Al agent could provide equal or better counsel on business decisions than a human board member.What it means (WIM):

The boardroom is no longer immune to disruption. AI literacy is now a fiduciary responsibility. Boards must evolve from oversight to insight, becoming fluent in AI, risk, and opportunity at the same pace as the technology itself.

What to do (WTD):

Establish an AI Board Advisor Program to embed AI-powered agents and advisors alongside traditional governance models.

Test AI-simulated board scenarios to understand what it sees that your board doesn’t.

89 of CEOs feel AI can develop an equal or better strategic plan than a member of their own exec team.WIM:

Strategic planning is no longer a purely human exercise. The executive bench must now compete and collaborate with algorithmic intelligence and do so quickly and visibly. The future leadership team will be hybrid: human + digital counterparts.

WTD:

Augment strategic planning with AI agents that simulate market changes, competitor responses, and future scenarios (agents as digital twins FTW!)

Redesign the org chart with AI-native roles. Train your teams to collaborate with AI not just as tools, but as cognitive partners.

74% of CEOs admit they’ll lose their job within 2 years if they don’t deliver Al business gains.WIM:

The AI clock is ticking, and the innovation imperative is rising. AI native companies are moving the game from an era of AI experimentation to execution. AI-forward boards and shareholders will learn to see AI beyond a tool or technology investment, and instead as a performance expectation and competitive driver.

WTD:

CEOs must shift from exploring peer-driven AI use cases to engineering AI-native business models. Leaders must stop waiting and start leading.

Create an AI Transformation Office to orchestrate enterprise-wide AI initiatives, beyond the AI ‘status quo’ pilots.

Tie AI metrics to business outcomes including, revenue growth, margin expansion, NPS, time to market. Develop a real AI vision!

Publish a 12-month AI innovation roadmap to the board, employees, and investors. Then, deliver and report against it.

68% of CEOs claim they are involved in more than half of their companies’ Al-related decisions.WIM:

CEOs understand, or are starting to, grasp the stakes and are stepping in and stepping up. But involvement doesn’t equal empowerment. AI readiness, AI fluency, and AI empowerment must be democratized across the enterprise, as tied to the vision.

WTD:

Build AI leadership coalitions or cross-functional stakeholder groups across functions, influencing but not limited to IT, to scale decision-making.

Bring in the outsiders to develop and execute an AI upskilling initiative across all management tiers.And perhaps the least intuitive of the bunch, distribute decision-making authority to AI-augmented teams trained to act with speed and insight.

From Reckoning to RenaissanceThis is a reckoning and the beginning of something bigger. It’s AI transformation tied to leadership transformation.

The AI era demands a new leadership mindset. A new vision for what’s possible. A new language. A new social contract between leaders and their organizations.

That starts by closing the gap between perception and reality. It means rethinking leadership. It means moving beyond platitudes. You can’t scale what your teams don’t understand. And you can’t scale what you do not understand.This moment demands a bold new vision and a clear strategy. It demands action and empowerment across the organization.  It also demands measurable alignment between boardroom intent, C-Level promises, and frontline execution.

Without vision and alignment, AI remains theater. Without shared understanding, transformation stalls. And without communication and enablement, trust fails to materialize. The companies that succeed unite AI and business leadership, innovation, and culture.

The renaissance starts with a mindshift.

The post Beyond the Hype: The Real State of AI in Business appeared first on Brian Solis.

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AI 人工智能 企业转型 领导力 战略执行 AI adoption digital transformation leadership strategy execution
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