We have heard warnings for years that robots may take our jobs. Recently, a report by Goldman Sachs suggested that artificial intelligence (AI) could replace his staggering 300 million full-time jobs. But for many, business seems to be going pretty well as usual.
Is it just hype? Or has recent advances in AI finally reached an inflection point? And will AI replace us, or actually make us do our jobs better and faster? do you want?
I interviewed leading experts and investors to hear their thoughts on how AI will change the future of work. These soundbites are a good representation of how they perceive AI will impact the way we work, and where they see the biggest opportunities going forward.
#1: A role reversal is expected: we will soon be assisting machines. Not vice versa.
“I believe that within the next decade we will see a paradigm shift from machines assisting humans to humans assisting machines.”
Joanne Chen, General Partner, Foundation Capital
#2: The impact of AI will be as big as the industrial revolution, allowing one person to do the work of many
“AI is a doubling of human intelligence and productivity. Similar to the industrial revolution brought about by machines and factories, AI is a means of production that enables one person to do the work of many. It’s hard to imagine a change of that magnitude, but it’s probably bigger than we expected.AI is not only making coding, marketing, legal, and healthcare administrative tasks more efficient. , completely transforming the way businesses and organizations of all kinds are built and run.”
Anne Bordetsky, NEA Partner
#3: AI will impact every industry
“As investors, we believe AI has the potential to automate, personalize and fine-tune thousands of processes across a wide range of industries including healthcare, education, infrastructure and professional services.”
Parul Singh, Initialized Capital Partner
#4: From coding to financial services to law, white-collar jobs will become much more efficient
“The introduction of AI is already beginning to profoundly transform job functions. Already one million developers are using Github Copilot to generate code, forever changing the code creation process. The days of manual research are coming to an end as collaboration between experts and AI-native applications streamlines (and in some cases eliminates) job duties and creates efficiencies previously unimaginable in fields such as I have.”
Lars Albright, General Partner, Unusual Ventures
#5: AI is already reducing the number of mid-level software developers needed to ship new products.
“One of the direct impacts of Large Language Models (LLM) is that the number of software developers required to build and ship new digital products has been greatly reduced. My own portfolio of startups are replacing programmers with co-pilots, they are still very dependent, but they are soldiers (programmers and data We are finding that there are fewer and fewer scientists, etc.”
John Spindler, General Partner, Twin Path Ventures
#6: As GenAI disrupts traditional roles, professionals will rely on AI-powered peer-to-peer channels to learn, improve their skills, and navigate new career paths.
“Generative AI accelerates personalized and applied learning both inside and outside the workplace. As courses and books rapidly become obsolete, so too do linear career paths, with both machine-driven and peer-to-peer learning proliferating. Given how YouTube, Instagram, and TikTok have capitalized on the rise of smartphones and empowered people to share their lives through Stories, as a result of GenAI We believe that learning and upskilling evolve.
Dinika Mahtani, Principal, Cherry Ventures
#7: AI will transform the way organizations make critical decisions
“AI is fundamentally changing the way organizations make critical decisions. , and even more complex simulations to give insight and recommendations for decision-making in more complex areas such as finding design and engineering solutions against detailed overviews.AI powers autonomous negotiation and closed-loop manufacturing optimization systems. It is becoming possible to fully make and automate these decisions.
In the long term, we believe we have the opportunity to create a fully digital representation of our business with advanced AI that can make decisions. Imagine being able to “hire” an AI COO, or even have a fully “autonomous business” generating profits without requiring any input at all. “
Ben Blum, Partner, Atomico
#8: Defining Categories AI Businesses Will Be Defensive and Decentralized Businesses
“Historically, software startups have found that ease of use and proprietary data alone are not enough to build a category-leading business. Defensiveness and decentralization should be explored in addition to the many avenues for value creation enabled by
AI defensibility can be elusive if the core model is not proprietary and the open source model is not mature enough. Implementing features that facilitate user interaction and lead to data generation is one way to create data network effects. “
Parul Singh, Initialized Capital Partner
#9: Sustainable business models lie in generative AI infrastructure and research layers
“Generative AI will bring significant productivity gains and improved cost structures to businesses of all kinds. can be achieved freely.”
The question in my mind is, given how expensive it is to train and run AI models today, how can companies achieve these benefits in a cost-effective manner? What should I do? That’s why I’m working on the generative AI infrastructure and research layers. This area will be key to moving AI from hype to reality, unlocking new sustainable business models that will positively transform the world of work for both employers and employees. “
Jill Chase, CapitalG Partner
#10: AI makes it harder than ever to identify matter in all the noise
“These disruptive trends (AI machine learning, automation, etc.) have the potential to bring about significant innovation. We will focus not only on technology solutions that introduce automation, but also on hybrid solutions that can accelerate productivity around the world for organizations to grow sustainably. I am also excited.”
Wilfred Fianko, Cornerstone VC General Partner
#11: Large language models are more than just hype
“It is clear to everyone that large-scale language models are a once-in-a-generation technology. Startups and venture capitalists who believe it is mere hype and therefore can be ignored are scratching their heads. increase.”
John Spindler, General Partner, Twin Path Ventures
#12: AI will impact our daily work, first gradually, then suddenly
“In the 1920s, Ernest Hemingway coined the now-iconic term for how bankruptcy looks—first gradually, then suddenly. The same goes for how technology disrupts work. will not disappear overnight: first there will be a slow culling, then intermediate steps such as offshoring, and finally the technology will mature enough and business processes will change enough that the The result is a rapid decline.We have seen this shift in back-office operations, but we are beginning to see it in more unexpected areas such as software development.”
Ramy Adeeb, Founder and General Partner, 1984 Ventures
Our 12 featured articles on AI all point in the same direction. We may not all be out of work tomorrow, or forever, but the current tipping point we are experiencing and the many AI advancements to come are making the entire world of work will evolve.
Personally, I have yet to meet anyone whose job has been replaced by AI. But most people I talk to are inspired by it in some way these days. It’s time to embrace the potential inherent in AI, especially for knowledge workers.
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