By: Gesche Haas, Founder of Dreamers & Doers, a curated community and PR Hype Machine™ for extraordinary women entrepreneurs.
Thanks to the rapid rise of AI, every industry is shifting beneath the feet of the people building within it. The leaders who thrive won’t be the ones who ignore the ground moving, and they won’t simply layer AI tools on top of business as usual. They’ll be the ones paying close attention, adapting early and fundamentally rethinking how work gets done.
We asked members of the Dreamers & Doers community, who span industries from finance and tech to marketing and consulting, to share the AI trends they’re seeing firsthand and how they’re evolving their own businesses in response. For these founders and leaders, AI isn’t the strategy itself. It’s the catalyst forcing them to rethink workflows, redefine value, and redesign the way they work.
Whether you’re already working through similar shifts or simply want to stay ahead of what’s next, their insights offer a practical look at where AI is reshaping how businesses operate and why paying attention now matters.
AI Is Reshaping Entire Business Models
Yes, AI has changed everything, but it has looked different across industries. The strategies various leaders have implemented to address their particular needs may be instructive for others figuring out how best to rethink their work in an AI-driven future.
In the digital and financial services space, for example, Marissa Pick suggests moving beyond basic automation and conversational chatbots, prioritizing autonomous agents instead.
“Leaders must look beyond simple task-handling,” says the founder of Marissa Pick Consulting. “The future belongs to intelligent agents capable of managing complex, multi-step workflows. This paradigm shift will fundamentally redefine operational efficiency and industry standards.”
As the founder and CEO of legal operating system Lexsy, Kristina Subbotina has observed a similar trend in the redefinition of chatbots.
“AI agents are moving from chatbot assistants to autonomous operators that can draft, review, and execute legal work under attorney supervision, and most founders haven’t caught up yet,” Subbotina says.
Because of this development, routine legal work that once sat with outside counsel is increasingly handled inside the platform itself. Companies like Lexsy have treated that shift as an opening, building new products and serving markets that did not exist a few years ago.
For SupportYourApp’s CEO Daria Leshchenko, developments in the customer experience industry have also been huge. Now, clients expect providers like her to improve speed, quality and customer satisfaction without simply adding more people or increasing costs.
“We’ve adapted by embedding proprietary AI solutions directly into our service model, allowing automation to handle routine interactions while human specialists focus on complex cases, strategy and customer relationships,” Leshchenko says.
In marketing, Mehak Chowdhary describes another shift driven by AI: a shorter distance between strategy and execution. Perhaps counterintuitively, the VP of Marketing at TestGorilla says, this has led to more hands-on work for professionals in her space.
“We’re adapting by building AI-driven systems for content, ads, and inbound/outbound workflows that are powered by real market signals,” Chowdhary explains. “This means the job is less about managing activity and more about staying close enough to the system to know when it’s confidently wrong at scale.”
In venture capital, AI challenges leaders to rethink the way they invest, and to do it better.
“We built a custom AI stack that streamlines our full process across sourcing, evaluating, investing and supporting portfolio companies,” says Lolita Taub, co-founder of Ganas Ventures. “AI trained on the right frameworks surfaces founder quality that warm-intro-only deal flow misses. For a fund backing underestimated founders, that’s a huge competitive edge.”
Taub isn’t the only founder seeing artificial intelligence as a tool for guiding smarter decisions when there’s money at stake. Linda Du reports similar observations as co-founder and CEO of Moola, a financial planning platform defining AI as something bigger than a resource for lots of information.
“Consumers have access to more financial data, products and investment options than ever before, but many are overwhelmed by the responsibility of choosing between them,” Du says. “We’re building AI that helps people understand trade-offs and make decisions with confidence, because the future of financial services isn’t just giving people more choice; it’s helping them navigate it.”
Across industries, leaders may also find that evolving technology changes where advantage comes from.
“As AI lowers the cost of execution, the advantage is moving toward leaders who can identify market shifts early and adapt how they build companies, reach customers and raise capital,” says Eileen Wu, CEO of Mavryx.
AI Doesn’t Fix Broken Systems
It’s tempting to see AI as a cure-all for whatever isn’t working in your business. Cynthia Hellen, however, reminds small business leaders to stay realistic about AI’s functionality.
“Everyone is told AI will transform their business, but [many] AI projects fail because the underlying process was broken before the technology was added,” says the co-founder and CEO of QINTI Applied Intelligence.
According to Hellen’s observations, businesses that are most successful with AI are those that fix their workflows before automating them. Async Lambda founder Jess Ford encourages a similar measured approach to AI adoption. In order to ensure they aren’t simply getting carried away by the hype, she advises leaders to wait to adopt new tools until they have first determined what they are trying to achieve with them.
“While AI can be a beneficial tool, leaders need to understand that, if a workflow is formulaic, a custom automation will always be more reliable than an AI tool that only almost fits their current tech stack,” Ford says.
Whether because their workflows need refining or because they should address other problems in the business prior to jumping into AI adoption, Jenna Reese wants leaders to know that the pressure to “keep up” in the current technological climate will not serve them in the long run. As CEO of technology consultancy Connect Centric, she encourages clients to build adaptive capacity rather than get caught up worrying that competitors are ahead of them. This strategy, she says, ensures that organizations can absorb change through a system that’s already in place.
“No one is actually keeping up,” Reese adds. “Pretending [that you are] turns every release into a fire drill that exhausts teams without making them better.”
MOXIEMO founder and CEO Karee Laing observes a widespread tendency to underestimate a shift in go-to-market infrastructure. Too often, she sees leaders using artificial intelligence to produce more content faster, but without the strategic foundation to match, their marketing engine is bound to stay broken.
“AI should build your marketing foundation first, then your positioning, your ideal customer and your voice, then execute from it,” says Laing, who built her AI content marketing growth platform around this basic principle. “Every piece of content is connected to actual growth, not just output.”
Above all, clarity must come first. No amount of AI mastery can streamline a confused message or team.
“The trend everyone’s talking about is AI adoption,” says Diamando Stratakos, founder of Intuition & AI with Diamando. “The trend underneath it is that the people who thrive with AI are the ones who understand their own business deeply enough to direct it. AI designed to replace isn’t the goal. AI should be making the human behind it irreplaceable.”
Human Judgment Is Becoming More, Not Less, Valuable
Keeping humans central to the work happening in organizations isn’t hard when, according to Erin Hines, those tools may not be relevant to how teams really work. As the founder of Darn Good Business Coach, Hines is adapting to AI trends by helping leaders better discern which strategies fit how they’re wired and release the ones they’re being forced to make work.
“AI isn’t replacing coaching or consulting,” she says. “It’s exposing the limits of generic strategy.”
At the helm of business growth agency The Hive (among other businesses), Sydney de Arenas now views her role as something beyond that of service provider. More and more, she sees business owners seeking execution partners who can combine strategy, operations and marketing support with AI-enabled systems. Combining these skill sets gives professionals like her a competitive edge.
“Small business owners are overwhelmed by disconnected experts who give advice but don’t help carry the work forward,” de Arenas says. In her business, “AI supports speed and clarity, but the real differentiators are human judgment, accountability and hands-on execution.”
That gap between advice and follow-through is exactly what Allison McMillan has built her practice around. The CEO of Tavlin Consulting has noticed that as AI speeds up the work, it also produces more decisions without making any of them stick.
“As AI takes over the heads-down, individual work, the scarce resource becomes the hours people spend genuinely deciding and committing together,” McMillan says. “I’m watching leaders present AI-polished action plans that look sharper than ever and still die within weeks, because the hard part was never writing the plan. It was getting people to commit to it. I’ve doubled down on exactly what AI can’t do: the strategic, messy, human decisions a model can’t predict for you.”
Even with its many advantages, AI can’t replicate that.
Implementation and Governance Are Competitive Advantages
The best strategy in the world is worthless if it never gets used. Alisha Outridge set out to fix that at Byte&Chord, her venture studio and advisory firm for AI products. After years of working fractionally, she productized her consulting into cohort-based workshops and sprints that land in a day, a few days, or a few weeks. Each one is built around a single problem: work that never got used.
“The gap I keep seeing is that most engagements produce artifacts that get shelved, so I build for adoption from the start, guiding teams so the work actually gets used and maintained,” she says.
Regardless of industry, Caitlen Macias finds that leaders who stay informed and proactive about AI governance can stay ahead of the game. Writing an AI policy that’s specific to your staff and culture, the BotQueen founder and CEO notes, is becoming an essential part of doing any kind of business.
“Your staff is already using AI at work, often without guardrails, exposing you to compliance violations and confidential data leaks,” Macias says. “The implementation of your AI policy should include training on how to use AI tools responsibly and effectively to increase adoption and mitigate risk.”
If there’s one lesson these founders and leaders agree on, it’s that AI isn’t replacing thoughtful leadership. It’s demanding more of it. As AI reshapes every corner of business, the real opportunity is to build companies that are more resilient, more intentional and more deeply human. Because while the technology will undoubtedly keep changing, the leaders who remain curious, stay grounded in their expertise and thoughtfully rethink how work gets done will be the ones best positioned to shape whatever comes next.
All individuals featured in this article are members of Dreamers & Doers, a community for women entrepreneurs and leaders.
