There’s a great deal of discussion about the impact of cheap, ubiquitous artificial intelligence (AI) on productivity, which, overall, can be a good thing. But as with any emerging technology, there are unpredictable innovations that can emerge as well – things that may had not been possible without the technology – especially as it gets cheaper and more accessible.
Recently, I canvassed industry thinkers and doers about innovations they see arising because of AI.
For example, Real Entrepreneur Women, a career coaching service, has developed an AI coach called Skye. “Skye is designed to help female coaches cut through overwhelm by providing actionable strategies and personalized support to grow their businesses,” said founder Sophie Musumeci. “She’s like having a dedicated business strategist in your pocket – streamlining decision-making, creating tailored content, and helping clients stay consistent. It’s AI with heart, designed to scale human connection in industries where trust and relationships are everything.”
In the next few years, Musumeci predicted, “I see democratized AI creating new business models where the gap between big and small players closes entirely, giving more entrepreneurs the confidence and capability to thrive.”
Education is another area ripe for AI disruption, and it’s possibilities for hyper-personalization in learning. “The current education system in USA is designed to educate the masses,” said Andy Thurai, principle analyst with Constellation Research. “It assumes everyone is at the same skill level and same interest in areas of topic and same expertise. It tries to push the information down our throats, and forces us to learn in a certain way.”
AI can serve to help students learn at their own pace, and not either be pressured not to fall behind, or be held back by slower learners. “By applying specific speed and knowledge, which some advanced charter and magnet skills do, AI can customer create education both knowledge as well speed and velocity of delivery that is suitable for a specific individual. at their specific speed of understanding and learning,” said Thurai.
“Some people might need more visual, demonstrations, and explanations to understand things and certain people might understand the topic matter just with a few lines of text,” he continued. “AI can individualize the same topic but in a different consumable way. This hyper personalization can potentially educate everyone in a way they can consume, and understand and at a speed that they can handle.”
Speaking of education, Forrest Zeisler, co-founder and chief technology officer at Jobber, suggested that ubiquitous, cheap AI may even make “the need to attend business school and earn an MBA obsolete.”
Instead, AI will be picking up all the administrative tasks business, freeing up business leaders to let their creativity flourish. “More than that, Zeisler added, ”AI will serve as a business coach, providing small business owners with credible expert advice. This will be especially beneficial for entrepreneurs. Their services will be more distinguishable to large enterprises, allowing them to stay open 24/7 and compete with big organizations.”
Komninos Chatzipapas, founder at HeraHaven.AI, even goes as far to predict the rise of “small autonomous AI companies with no humans evolved. Run entirely by self-updating algorithms, they’d handle all aspects of their business including accounting, sales, and even paying taxes.”
Likewise. Adnan Masood, chief AI architect at UST. also foresees “AI, Inc.,” which will feature “pop-up ventures that form, pivot, and dissolve in mere months, all leveraging DeepSeek’s style open-source and its compute frugality.”
What’s happening is investors will be funding “these ephemeral teams to solve narrowly defined problems – knowing they can do so without monstrous GPU compute bills,” Masood said. “The upshot is a faster, cheaper, more creative wave of business models than we’ve seen before, fueled by advanced multi-token prediction that cuts inference costs and paves the way for hyper-personalization at scale.”
Personalization in healthcare – even AI-driven personal doctors – is another area of innovation springing out of AI. “As AI becomes cheap, accessible, and capable of human-like reasoning, we’re on the verge of hyper-personalized experiences that were previously impossible,” said Vincent Koc, lecturer at University of New South Wales. “I’m working on precision health use cases with medical companies in the US and Australia, where AI is synthesizing patient data: food, lifestyle, genetics, medical history, into a real-time, personalized healthcare experience.”
Personalized AI-driven is more than chatbots; “it’s about creating an AI-driven personal doctor that clinicians can augment rather than replace,” Koc predicted.
Beyond healthcare, “imagine that level of hyper-personalization in fashion, interior design, or even financial planning,” Koc added. “Your wardrobe, your furniture, and even your investment strategy could be uniquely tailored to you in ways that feel almost handcrafted.”
The workplace of the future “might feel less like a fixed schedule and more like a continuous, intelligent conversation with your AI team,” he added.
