Unite.AI 2024年12月14日
Techno-Panic: Reclaiming Human Value in the Age of Technological Obsession
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文章探讨了企业在技术创新中常陷入的误区,即盲目追求技术采用而非关注用户价值。文章指出,许多公司在AI和增强现实等新兴技术的热潮中,因害怕落后而做出不明智的投资决策。文章强调,真正的创新赢家不是那些最快采用新技术的企业,而是那些关注技术如何积极影响用户的人。文章还提出了以人为本的创新框架,强调从解决实际问题出发,融合内外视角,并为长期发展做好规划。通过关注人的需求,并进行战略性决策,企业可以将创新从高风险的赌博转变为可持续增长的引擎。

💡技术采用≠创新:许多公司将技术采用误认为创新,导致在AI和增强现实等新兴技术上投入大量资金,却未能实现真正的价值。

😨恐惧驱动的创新陷阱:企业常常因害怕落后而盲目投资新技术,导致决策失误,大量项目在概念验证后被放弃。

🎯以人为本的创新框架:成功的创新应从理解和解决人的实际问题出发,融合内部业务知识和外部专业技术,并为长期发展做好规划。

⚖️技术投资策略:文章分析了四种技术采用策略:全情投入、大赌注、浅尝辄止和观望等待,指出应根据自身风险承受能力制定策略。

🧑‍🤝‍🧑自下而上的技术采纳:对于中小企业,自下而上的技术采纳方式更为有效,即团队先试用工具,再根据实际价值推动广泛采用。

Tech Innovation Should Prioritize Consumer Value, Not Hype

In the relentless race to embrace cutting-edge technologies, companies often fall into an expensive trap: mistaking adoption for innovation. Technology like AI and augmented reality are going through their respective hype cycles, and the media loves to highlight the failed experiments and sunk costs as companies race to become early leaders. Leaders are pressured to declare their strategy for new technology adoption (or appear stagnant), often while questioning or not understanding the value of what the new technology will offer. The real winners in innovation are not the fastest adopters but the ones who ask the essential question: How does this technology positively impact the people who will be using it?

The Innovation Fear Trap: Why Most Tech Investments Fail

The pressure to innovate often stems from fear— fear of being left behind or fear of missing out on the next transformative technology. This reactive mindset can lead to poorly informed, costly decisions. Gartner predicts that 30% of generative AI projects will be abandoned after proof of concept by 2025, often due to unclear business value, inadequate risk controls, or poor data quality. Moreover, a separate recent survey found that a quarter of IT leaders already regret their hasty AI investments.

It’s possible to get it right, but that means first defining what “right” means for your company. Before making significant technology investments, I urge business leaders to understand both the technology and its potential impact on their specific company, customers, employees, and business needs. A structured, human-centered framework for innovation makes it possible to arrive at better results—one that balances ambition with practicality and puts customer outcomes at the forefront.

Most companies tend to fall into one of four categories when adopting new technology:

All of these approaches are valid and come with varying levels of risk and potential impact.  Success comes from aligning your strategy with your risk tolerance and executing that strategy properly.

Examples of Getting It Right vs. Getting It Wrong

McDonald’s: A Toe-Dipper Done Right

In 2024, McDonald’s ended its AI drive-thru testing after three years of experimentation with IBM. The system’s mishaps went viral, struggling to interpret customer orders (one customer watched in disbelief as the AI system ordered 2,510 McNuggets Meals, totaling $264.75), leading to the project’s cancellation. It’s easy to label this a failure (as many in the media did), but I’ll argue that this is an example of an appropriate investment in innovation. McDonald’s tested AI at a manageable scale, at a cost within their means to shoulder, and walked away when the results didn’t meet their standards. They treated the experiment as a learning opportunity, not a definitive solution, and are likely to bring those learnings forward into other AI initiatives in the future.

Big Betters: Approaches to building a new platform

Many companies announce grand plans to revolutionize industries with new technologies, only to fall short of delivering tangible results. Consider the “metaverse,” which reached the peak of its hype in late 2021. Companies like Decentraland raised huge amounts of capital from crypto ICOs and venture capital, and brands spent millions purchasing virtual real estate. Recent reports cite that the platform has as few as 8000 daily users, and most of this virtual “land” remains largely inactive. The core concept was driven by hype and not real value delivered to users.

Conversely, Meta’s rebrand and long-term investment in the Metaverse and AR have drawn skepticism, but its massive commitment could eventually pay off. Because the company is able to develop both the hardware and the platform needed to create new value for consumers, and do so over an extended period of time, they may yet find a market fit for the Metaverse and win at a platform level.

Bottom-Up vs. Top-Down Adoption

For smaller companies, investments tend to take a different form: either in the adoption of new tools or integration of new technology into existing business processes. Top-down mandates to adopt new technology often face resistance or fail to deliver results due to poor alignment with day-to-day needs. We often find that a bottom-up approach—where teams test tools in limited trials and advocate for broader adoption based on proven value—is far more effective. If employees resist returning to old methods after a trial, it’s a strong indicator that the technology adds real value.

Human-Centered Design: The Core of Smart Innovation

Ultimately, successful innovation starts and ends with people. Before any technology decision, smart companies focus on understanding and solving real human problems. Once that initial step is complete, companies can then consider how technology can scale those solutions. This human-centered approach requires business leaders to:

When companies prioritize solving real-world problems over chasing technology, they make smarter decisions and build lasting competitive advantages. Achieving this clarity sometimes requires an outside perspective—partners who focus on understanding human needs and aligning solutions with your business’s unique goals and values. Smart innovation rarely happens in isolation; it thrives through collaboration with those who challenge assumptions, bring fresh ideas, and help bridge the gap between ambition and execution.

By putting human needs first, making strategic decisions around how to invest, and properly executing upon these decisions, companies of any size can transform innovation from a risky gamble into a reliable engine for meaningful growth.

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技术创新 用户价值 以人为本 技术投资 创新策略
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