"We're nearing the end of the traditional, one-size-fits-all classroom": Israeli tech leaders predict what technology will leave behind
CTech asked tech industry insiders to predict the products and behaviors that will be extinct within a decade.
From cash to passwords to traditional search engines, technology has a long history of making once-essential products and practices obsolete. But what will disappear next?
To get a better understanding of what might be next on the chopping block, CTech asked leaders from across Israel's tech ecosystem a simple question: What's something you believe won't exist in 10 years because of technology?
Natural Intelligence
Yael Babiacki, VP Marketing at Natural Intelligence
Industry: AI (SEO/AEO)
In ten years, traditional tracking mechanisms like third-party cookies and invasive tracking pixels will completely cease to exist. Instead, privacy-first, AI-driven contextual intelligence will take over entirely. Advertisers will no longer need to piece together fragmented personal identities or harvest user data across the web to be effective. Advanced predictive AI models will understand immediate consumer intent, emotional context, and environmental factors in real-time. The concept of stalking users across the internet with repetitive, irrelevant retargeting ads will be an archaic relic of the past.
Plantopia
Tal Lutzky, Co-founder and CEO of Plantopia
Industry: Foodtech
I believe the concept of producing critical food proteins exclusively through animals will gradually become obsolete. Just as renewable energy is replacing fossil fuels, advanced production platforms - including molecular farming and precision biotechnology - will increasingly manufacture proteins more efficiently, sustainably, and locally. Animal agriculture will continue to exist, but many functional proteins used by the food industry will be produced independently of livestock. This transition will strengthen food security, reduce environmental impact, and create a far more resilient global supply chain.
KPMG
Sean Goaz, Generative AI Lead at KPMG Israel
Industry: Professional Tech Services
In 10 years, “the one person who knows how this is done” should no longer exist. Today, almost every organization relies on critical knowledge that is not truly documented: process exceptions, past decisions, shortcuts, dependencies between systems and the practical understanding of what actually works. In many cases, this knowledge sits with one experienced employee, and the organization depends on that person’s availability to solve problems or move work forward.
With enterprise AI connected to organizational knowledge, processes and business context, this knowledge can shift from individual memory to an accessible organizational capability. Experts will not disappear, but their value will change. They will spend less time being the person who knows where the answer is and more time applying judgment, identifying exceptions and improving how the organization works.
Pay.com
Tom Vaknin, CEO & co-founder of Pay.com:
Industry: Fintech
The checkout page. The idea that you stop, pull out a card, type 16 digits and hope it works is already dying. Payments are becoming invisible: embedded inside apps, agents, and conversations. Within a decade, AI agents will do much of our buying for us - comparing prices, negotiating, and completing purchases autonomously. When your "customer" is software, there's no form to fill.
The winners in the payments category won't be the ones with the prettiest checkout, but the ones whose infrastructure lets money move safely between humans, businesses, and machines without anyone noticing it happened.
Salesforce
Itai Margalit, Area Vice President Sales Salesforce Israel
Industry: Enterprise Software
Predicting a decade out in tech is always a bit of a gamble, but based on current trajectories in AI and automation I believe we will see radical changes in the way enterprises operate within a decade:
Localized data silos: The frustrating reality of files locked in a siloed island of data will rarely exist. It will give way to unified semantic data layers, in which AI functions as a universal translator, instantly retrieving any compliant information across the entire enterprise.
Manual data entry and cross-platform manual workflows: These manual tedious tasks will fade away, replaced by autonomous agents that communicate via APIs and involve humans only when an anomaly warrants a second look.
App-hopping: Perhaps most visibly, the daily ritual of hopping across different apps will collapse into a single conversational interface. Software will be running headlessly in the background while employees simply direct outcomes.
Viola Credit
Meir Slobodov, Managing Director, Head of Israel at Viola Credit
Industry: Startup Financing
We're already seeing physical cards fade in several geographies, so that direction feels real, though I'd be careful predicting cash disappears entirely. The biggest misconception is that fintech is about slick apps. It's really infrastructure, compliance, and unit economics customers never see, and regulation quietly defines what's actually buildable. In financial services the companies that tend to survive are the ones that respect risk, capital efficiency, and the cost of every transaction. The unglamorous parts are usually what create a business worth lending against.
Bright Data
Limor Kidron, CPO at Bright Data
Industry: AI (LLM training)
Think about booking an appointment. Opening apps, comparing slots, checking your calendar, going back and forth. Now imagine just saying: "Find me a plumber Tuesday morning next week" and it's handled. That's where we're headed.
Within 10 years, the annoying day to day life admin we all dread will almost disappear. Every person will have a personal AI assistant that knows their schedule, preferences, and priorities. It won't act independently and it will always ask before confirming, but when you point it at a task, it handles the entire process.
Libri
Ohad Rave, Founder and CEO of Libri
Industry: Education Tech
We are nearing the end of the traditional, one-size-fits-all classroom. For generations, education systems had to teach to the average, but the real barrier to personalized learning is about to fall. Right now, AI in education struggles with a "holy trinity": high content quality, instant response time, and low price.
Currently, you can achieve one or two of these, but it is incredibly difficult to get all three simultaneously. Within ten years, this gap will completely close. Technology will advance to deliver top-tier, zero-latency personalized education at a fraction of today's cost. Once that trinity is achieved, the concept of a rigid, standardized curriculum will simply cease to exist.
