Too much advice and hype about AI is what’s freezing businesses in place.
You’re on the couch trying to unwind, scrolling through your phone between the news and social media, when several posts in a row hit the same note: if you’re not using AI yet, you’re already losing ground.
New tools and updates roll out every week, so even when you try to keep up, it feels like you’re always one step behind. None of those posts tell you what to do next, starting today. So you close the apps and do nothing.
What’s Actually Behind the Paralysis?
Feeling overwhelmed and paralyzed has become part of everyday life. Most small and midsized businesses get stuck at the evaluation stage. Nearly 70% of SMBs remain in the experimental or opportunistic stages of AI maturity, running scattered tools without a unified plan¹.
“Experimenting with the technology is one thing,” says IDC’s Daniel-Zoe Jimenez. “Deploying it strategically and sustainably is quite another.”¹ More research won’t get a business unstuck.
Picking one operational problem and starting there will.
Is the Problem Too Little AI, or Too Much Noise About It?
Decision research on choice overload found that presenting people with more options, even appealing ones, can lower the odds they choose anything at all². Every new tool, webinar, and “must-have AI feature” post adds another option to weigh, and each one raises the mental cost of choosing.
“Analysis paralysis kills more businesses than bad decisions ever will,” notes Ruth Stanat, CEO of SIS International Research³. For an SMB stuck comparing platforms, the real risk is never picking a tool at all.
For an owner already juggling staffing, sales, and operations, that cost often outweighs the upside of picking one tool and moving forward. That accumulating cost, more than any shortage of AI options, is what actually stalls the decision.
Why Doesn’t More Research Fix This?
Most AI advice assumes the hard part is asking a good question or finding the perfect prompt. For a business that hasn’t started yet, the hard part comes earlier: not knowing what to ask at all.
Comparing AI platforms doesn’t tell an owner whether the bottleneck is missed calls, slow follow-ups, or a team too stretched to handle the volume. Without a starting point, more information just adds more to sort through.
What Does an Actual Starting Point Look Like?
Start with something specific: after-hours calls going to voicemail and costing you leads. Maybe it’s invoices piling up because collections calls keep getting pushed back, or a small team that can’t return every message the same day. Once you can name the actual problem, you know what to look for.
Before deciding what to research next, ask three questions:
- Where does the business lose time or money most often?
- Does that point affect revenue, not just patience?
- Could a fix start with a phone call rather than a new platform?
Landing on one clear answer is the only research that matters at this stage.
That pressure to have it all figured out before you start is exactly what stalls SMBs in the first place. You don’t need a finished strategy or a perfectly worded question. If the honest answer is “I don’t know where to begin,” that still counts as a starting point.
Whatever stage you’re at, from a general feeling that something needs to change to a problem you can already name, IPFone’s role is to work through it with you in a real conversation. No matter the question, just ask us.
Talk to IPFone’s team about the problem slowing your business down. Request a demo and leave with an actual starting point.
Sources
- SAS and IDC, “AI for SMBs: Closing the Readiness-Reality Gap,” 2026. https://www.sas.com/en/offers/ai-readiness-report-for-small-and-midsize-businesses.html (Jimenez quote via SAS/IDC press release, PR Newswire, 2026: https://www.prnewswire.com/news-releases/majority-of-smbs-remain-in-early-stages-of-ai-maturity-study-says-302771160.html
- Iyengar, S. and Lepper, M., “When Choice is Demotivating,” Journal of Personality and Social Psychology, 2000. https://doi.org/10.1037/0022-3514.79.6.995
- Stanat, R., “Overcoming Barriers to AI Adoption in Business,” Greenbook, 2025. https://www.greenbook.org/insights/grow-your-insights-business/overcoming-barriers-to-ai-adoption-in-business
Sol Narosky is a journalist and content marketing specialist with over six years of experience covering technology, innovation, and emerging digital trends.
