
問題不在于人工智能是否會改變勞動力市場。真正的問題是:你準(zhǔn)備好了嗎,?技術(shù)始終在重塑工作與社會形態(tài),,人工智能只是加速了這個進程?;叵朐?9世紀(jì)50年代,,農(nóng)場或工廠工人目睹可能奪走工作的新機器問世時的情景。當(dāng)時人們非??只?,社會上也出現(xiàn)了激烈的抵制聲音。人們發(fā)起反自動化的暴動,,試圖阻止技術(shù)進步,。但歷史車輪滾滾向前。機器確實取代了工廠和農(nóng)場中的大量繁重勞動,,但人類文明并未崩塌,,而是不斷進步。隨著社會在隨后數(shù)十年間的適應(yīng)調(diào)整,,人均壽命得以延長,工作環(huán)境變得更安全,工作時長逐步縮短,,全球生活水平實現(xiàn)飛躍,。
我們早已經(jīng)歷過這種變革周期。人工智能不過是新一波浪潮而已,。人工智能不會摧毀工作崗位,,而是會重新定義高價值工作的內(nèi)涵。勞動力市場曾成功轉(zhuǎn)型,,未來也將再次適應(yīng),。最終勝出者將是那些最快擁抱變革的人群。
人工智能遵循歷史劇本
作為研究社會經(jīng)濟轉(zhuǎn)型的經(jīng)濟人類學(xué)家,,我看到令人不安的歷史模式正在重現(xiàn),。上世紀(jì)90年代,俄羅斯經(jīng)歷了從共產(chǎn)主義向資本主義的劇變,。由于社會抗拒變革,,數(shù)百萬依賴政府職位和社會主義制度保障的民眾,在劇變的經(jīng)濟環(huán)境中驟然迷失,。人均壽命驟降,,許多人選擇了吸毒、抗議和退出勞動力市場,。社會懷舊情緒蔓延,,到90年代末,俄羅斯選出了一位承諾逆轉(zhuǎn)資本主義政策體系的威權(quán)主義領(lǐng)導(dǎo)人,。如今,,俄羅斯正在承受抗拒進步的后果,抵制變革所帶來的社會創(chuàng)傷需要數(shù)代人才能修復(fù),。
19世紀(jì)的工業(yè)革命也遵循相似軌跡,。經(jīng)濟動蕩與人口流離導(dǎo)致社會動蕩,為了應(yīng)對這種局面,,許多國家出現(xiàn)了法西斯主義和共產(chǎn)主義威權(quán)政體。直到經(jīng)歷了兩次世界大戰(zhàn)和大規(guī)模經(jīng)濟重構(gòu),,世界才重回發(fā)展軌道,。但當(dāng)我們最終接納變革后,人類福祉顯著提升,。
我們從中得到了哪些歷史教訓(xùn),?若不能足夠快速地適應(yīng)當(dāng)今人工智能驅(qū)動型經(jīng)濟,我們可能重蹈歷史覆轍,。但這次,,我們有機會通過主動擁抱變革避免苦難,。
人工智能時代需要更快的適應(yīng)速度
要防范此前經(jīng)濟轉(zhuǎn)型過程中出現(xiàn)的社會動蕩,個人必須突破舒適區(qū),,以超乎想象的速度適應(yīng)人工智能,。在個體層面該如何適應(yīng)變革?
1. 學(xué)習(xí)人工智能技術(shù)
如果你現(xiàn)在還不積極使用人工智能工具,,你就已經(jīng)落后了,。首先付費使用ChatGPT等領(lǐng)先的人工智能平臺。沉浸式學(xué)習(xí)大衛(wèi)·夏皮羅,、馬修·伯曼,、朱莉婭·麥考伊、韋斯·羅斯,、莫·加瓦德,、德瓦克什·帕特爾、彼得·迪亞曼迪斯等思想領(lǐng)袖的人工智能專題內(nèi)容,。你在該領(lǐng)域參與地越深入,,就越能理解人工智能如何重塑工作與商業(yè)形態(tài)。
2. 培養(yǎng)直覺感知力
人工智能擅長數(shù)據(jù)分析和洞見生成,,但缺乏感知文化變遷,、預(yù)判人類行為或超越原始信息把握全局的能力。這正是人類直覺的不可替代之處,。企業(yè)將不再單純重視"數(shù)據(jù)驅(qū)動型"員工,,轉(zhuǎn)而青睞能將數(shù)據(jù)與深度洞察力及前瞻性相結(jié)合的人才。
3. 成為現(xiàn)場表現(xiàn)者
依賴人類精力,、情感和實時互動的工作,,如銷售、現(xiàn)場表演,、公開演講和倡議活動等,,將繼續(xù)有較高的人才需求。人工智能或許能創(chuàng)作歌曲,,但無法復(fù)制現(xiàn)場演唱會的感染力,。它或許能分析法律論點,卻無法比擬優(yōu)秀訴訟律師在法庭上的表現(xiàn)力,。未來職場將青睞那些能為崗位注入不可替代的人性特質(zhì)的從業(yè)者,。
如何與人工智能協(xié)作
勞動力市場不會消亡,而是在進化,。關(guān)鍵在于不要抗拒人工智能,,而是將其融入工作流程。善于運用人工智能放大自身能力的人,,將超越恐懼它的人,。
觀察現(xiàn)實中的人機協(xié)作:人工智能驅(qū)動平臺,,如人工智能代理管理系統(tǒng)等,使企業(yè)能夠優(yōu)化工作流程,,同時保持人類的戰(zhàn)略決策主導(dǎo)權(quán),。例如Wayfound等平臺幫助企業(yè)部署人工智能代理處理常規(guī)事務(wù),讓員工專注于創(chuàng)意,、戰(zhàn)略和高價值互動。這正是未來的工作模式——人類與人工智能協(xié)同作業(yè),。
構(gòu)建人工智能時代的職業(yè)護城河
人工智能不是職業(yè)殺手,,而是重塑工作的催化劑。在人工智能的沖擊下保住自己工作的最佳方式,,是重拾被屏幕時代淡化的完整人性特質(zhì),。重點培養(yǎng)人工智能難以復(fù)制的技能,如直覺力,、感知智能,,以及在實時互動中激發(fā)能量的能力。
未來屬于擁抱而非抗拒人工智能的人群,。我們越早走出舒適區(qū)適應(yīng)變革,,就能越早共享勝利果實。
本文作者塔迪納·瑪姆特為Wayfound公司創(chuàng)始人兼首席執(zhí)行官,。(財富中文網(wǎng))
譯者:劉進龍
審校:汪皓
問題不在于人工智能是否會改變勞動力市場,。真正的問題是:你準(zhǔn)備好了嗎?技術(shù)始終在重塑工作與社會形態(tài),,人工智能只是加速了這個進程,。回想在19世紀(jì)50年代,,農(nóng)場或工廠工人目睹可能奪走工作的新機器問世時的情景,。當(dāng)時人們非常恐慌,,社會上也出現(xiàn)了激烈的抵制聲音,。人們發(fā)起反自動化的暴動,試圖阻止技術(shù)進步,。但歷史車輪滾滾向前,。機器確實取代了工廠和農(nóng)場中的大量繁重勞動,但人類文明并未崩塌,,而是不斷進步,。隨著社會在隨后數(shù)十年間的適應(yīng)調(diào)整,人均壽命得以延長,,工作環(huán)境變得更安全,,工作時長逐步縮短,,全球生活水平實現(xiàn)飛躍。
我們早已經(jīng)歷過這種變革周期,。人工智能不過是新一波浪潮而已,。人工智能不會摧毀工作崗位,而是會重新定義高價值工作的內(nèi)涵,。勞動力市場曾成功轉(zhuǎn)型,,未來也將再次適應(yīng)。最終勝出者將是那些最快擁抱變革的人群,。
人工智能遵循歷史劇本
作為研究社會經(jīng)濟轉(zhuǎn)型的經(jīng)濟人類學(xué)家,,我看到令人不安的歷史模式正在重現(xiàn)。上世紀(jì)90年代,,俄羅斯經(jīng)歷了從共產(chǎn)主義向資本主義的劇變,。由于社會抗拒變革,數(shù)百萬依賴政府職位和社會主義制度保障的民眾,,在劇變的經(jīng)濟環(huán)境中驟然迷失,。人均壽命驟降,許多人選擇了吸毒,、抗議和退出勞動力市場,。社會懷舊情緒蔓延,到90年代末,,俄羅斯選出了一位承諾逆轉(zhuǎn)資本主義政策體系的威權(quán)主義領(lǐng)導(dǎo)人,。如今,俄羅斯正在承受抗拒進步的后果,,抵制變革所帶來的社會創(chuàng)傷需要數(shù)代人才能修復(fù),。
19世紀(jì)的工業(yè)革命也遵循相似軌跡。經(jīng)濟動蕩與人口流離導(dǎo)致社會動蕩,,為了應(yīng)對這種局面,,許多國家出現(xiàn)了法西斯主義和共產(chǎn)主義威權(quán)政體。直到經(jīng)歷了兩次世界大戰(zhàn)和大規(guī)模經(jīng)濟重構(gòu),,世界才重回發(fā)展軌道,。但當(dāng)我們最終接納變革后,人類福祉顯著提升,。
我們從中得到了哪些歷史教訓(xùn),?若不能足夠快速地適應(yīng)當(dāng)今人工智能驅(qū)動型經(jīng)濟,我們可能重蹈歷史覆轍,。但這次,,我們有機會通過主動擁抱變革避免苦難。
人工智能時代需要更快的適應(yīng)速度
要防范此前經(jīng)濟轉(zhuǎn)型過程中出現(xiàn)的社會動蕩,,個人必須突破舒適區(qū),,以超乎想象的速度適應(yīng)人工智能,。在個體層面該如何適應(yīng)變革?
1. 學(xué)習(xí)人工智能技術(shù)
如果你現(xiàn)在還不積極使用人工智能工具,,你就已經(jīng)落后了,。首先付費使用ChatGPT等領(lǐng)先的人工智能平臺。沉浸式學(xué)習(xí)大衛(wèi)·夏皮羅,、馬修·伯曼,、朱莉婭·麥考伊、韋斯·羅斯,、莫·加瓦德,、德瓦克什·帕特爾、彼得·迪亞曼迪斯等思想領(lǐng)袖的人工智能專題內(nèi)容,。你在該領(lǐng)域參與地越深入,就越能理解人工智能如何重塑工作與商業(yè)形態(tài),。
2. 培養(yǎng)直覺感知力
人工智能擅長數(shù)據(jù)分析和洞見生成,,但缺乏感知文化變遷、預(yù)判人類行為或超越原始信息把握全局的能力,。這正是人類直覺的不可替代之處,。企業(yè)將不再單純重視"數(shù)據(jù)驅(qū)動型"員工,轉(zhuǎn)而青睞能將數(shù)據(jù)與深度洞察力及前瞻性相結(jié)合的人才,。
3. 成為現(xiàn)場表現(xiàn)者
依賴人類精力,、情感和實時互動的工作,如銷售,、現(xiàn)場表演,、公開演講和倡議活動等,將繼續(xù)有較高的人才需求,。人工智能或許能創(chuàng)作歌曲,,但無法復(fù)制現(xiàn)場演唱會的感染力,。它或許能分析法律論點,卻無法比擬優(yōu)秀訴訟律師在法庭上的表現(xiàn)力,。未來職場將青睞那些能為崗位注入不可替代的人性特質(zhì)的從業(yè)者。
如何與人工智能協(xié)作
勞動力市場不會消亡,,而是在進化,。關(guān)鍵在于不要抗拒人工智能,而是將其融入工作流程,。善于運用人工智能放大自身能力的人,,將超越恐懼它的人。
觀察現(xiàn)實中的人機協(xié)作:人工智能驅(qū)動平臺,,如人工智能代理管理系統(tǒng)等,,使企業(yè)能夠優(yōu)化工作流程,,同時保持人類的戰(zhàn)略決策主導(dǎo)權(quán)。例如Wayfound等平臺幫助企業(yè)部署人工智能代理處理常規(guī)事務(wù),,讓員工專注于創(chuàng)意,、戰(zhàn)略和高價值互動。這正是未來的工作模式——人類與人工智能協(xié)同作業(yè),。
構(gòu)建人工智能時代的職業(yè)護城河
人工智能不是職業(yè)殺手,,而是重塑工作的催化劑。在人工智能的沖擊下保住自己工作的最佳方式,,是重拾被屏幕時代淡化的完整人性特質(zhì),。重點培養(yǎng)人工智能難以復(fù)制的技能,如直覺力,、感知智能,,以及在實時互動中激發(fā)能量的能力。
未來屬于擁抱而非抗拒人工智能的人群,。我們越早走出舒適區(qū)適應(yīng)變革,,就能越早共享勝利果實。
本文作者塔迪納·瑪姆特為Wayfound公司創(chuàng)始人兼首席執(zhí)行官,。(財富中文網(wǎng))
譯者:劉進龍
審校:汪皓
The question isn’t whether AI will change the workforce. The question is: Will you be ready? Technology has always transformed work and society. Artificial intelligence is just accelerating the pace. Imagine being a farm or factory worker in the 1850, watching new machines emerge that threatened to take your job. The fear was intense, as was the societal backlash. People rioted against automation, desperate to halt progress. But history marched forward. Machines did replace much of the grinding labor in factories and farms, yet humanity didn’t crumble, it advanced. As society adapted over the following decades, life expectancy increased, work became safer, people worked fewer hours, and the global standard of living skyrocketed.
We’ve seen this cycle before. AI is just the next wave. Instead of destroying jobs, it is redefining what valuable work looks like. The workforce has adapted before, and it will adapt again. The winners will be those who embrace this shift fastest.
AI is following a familiar playbook
As an economic anthropologist who has studied socioeconomic transitions, I see troubling historical patterns reemerging. In the 1990s, Russia experienced a dramatic shift from communism to capitalism. Because society resisted the change, millions of people who had relied on government jobs and the security of the socialist system were suddenly lost in a rapidly changing economy. Life expectancy plummeted, many turned to drugs, protested, or checked out of the workforce. Nostalgia for the past grew, and by the end of the decade, Russia elected an authoritarian leader who promised to reverse capitalist policies and systems. Now, Russia is facing the consequence of this resistance to progress, and it will take several generations to undo the harm of this social backlash to change.
The industrial revolution of the 1800s followed a similar trajectory. Economic upheaval and displacement led to social unrest, and many countries responded with fascist and communist authoritarian regimes. It took two world wars and a massive economic reset to move forward. But then, after we embraced change, we became much better off.
The lesson? If we don’t adapt fast enough to today’s AI-driven economy, we risk repeating the mistakes of history. This time, however, we have the opportunity to avoid suffering by proactively embracing change.
With AI, adaptation must happen faster
To prevent the kind of societal upheaval we’ve seen in previous economic transitions, individuals must step out of their comfort zones and adapt to AI faster than they think possible. What does this adaptation look like on a personal level?
1. Learn AI
If you’re not actively using AI tools today, you’re already behind. Start by paying for access to leading AI platforms like ChatGPT. Immerse yourself in AI-focused content from thought leaders like David Shapiro, Matthew Berman, Julia McCoy, Wes Roth, Mo Gawdat, Dwarkesh Patel, and Peter Diamandis. The more you engage, the better you’ll understand how AI is reshaping work and business.
2. Develop your intuition
AI is phenomenal at analyzing data and generating insights—but it lacks the ability to sense cultural shifts, anticipate human behavior, or see the broader picture beyond raw information. This is where human intuition becomes critical. Businesses will shift away from valuing purely “data-driven” employees to prioritizing those who can blend data with deep perception and foresight.
3. Become a performer
Jobs that thrive on human energy, emotion, and real-time interaction—like sales, live performances, public speaking, and advocacy—will continue to be in high demand. AI may write songs, but it can’t replicate the electricity of a live concert. AI may analyze legal arguments, but it can’t match the courtroom presence of a skilled litigator. The future workforce will favor those who bring irreplaceable human presence to their roles.
How to work with AI
The workforce isn’t facing extinction—it’s evolving. The key is not resisting AI but integrating it into your workflow. Those who use AI as an amplifier will outpace those who fear it.
Consider AI-human collaboration in action: AI-powered platforms, such as AI agent management systems, enable businesses to optimize workflows while keeping humans at the helm of strategic decision-making. For example, platforms like Wayfound help businesses deploy AI agents to streamline tasks while allowing human workers to focus on creativity, strategy, and high-value interactions. This is the model for the future—humans and AI working in tandem.
Future-proofing your career in an AI world
AI isn’t a job destroyer—it’s a catalyst for rethinking work. The best way to protect your job from AI is to lean into our full humanity, the things we set aside when we started staring at screens instead of focusing on each other. Double down on skills that AI can’t easily replicate—intuition, sensory intelligence, and the ability to create energy in live interactions.
The future belongs to those who embrace AI, not those who resist it. The faster we get out of our comfort zones and adapt, the sooner we all win.