Five years ago, Chegg was worth $14 billion. It was one of the most-used education platforms in America — millions of students relied on it for homework help, tutoring, and study tools. Then ChatGPT arrived, and within three years, Chegg had laid off 45% of its workforce and was worth $146 million.
That’s not a typo. Ninety-nine percent of its value, gone.
But Chegg isn’t the part of this story that should concern you as a business owner. What should concern you is the 220+ other companies experiencing the same thing right now — quietly, slowly, in the background of your workday — including tools you may be paying for today and depending on tomorrow.
Scheduling software. Learning management systems. Social media tools. Customer service platforms. A new analysis of PitchBook data reveals that more than 220 U.S. startups that once carried billion-dollar valuations are now worth less than half their peak. The largest single category? Software. Seventy-five SaaS companies are on the fallen unicorn list — roughly double the number of fintech companies.
If you run a business and rely on software tools, this is your early warning signal.
The Scale of the Problem: Which Business Tools Are at Risk?
The data is stark. Here are some of the most recognizable names from PitchBook’s fallen unicorn list and how far their estimated valuations have dropped from peak:
| Company | Peak Valuation | Current Estimated Value | Decline |
|---|---|---|---|
| Calendly (scheduling) | $3B | $793M | -74% |
| Articulate (e-learning) | $3.75B | $683M | -82% |
| Picsart (creative tools) | $1.23B | $669M | -46% |
| Betterment (fintech) | $1.3B | $692M | -47% |
| Formlabs (hardware/software) | $2.08B | $820M | -61% |
Source: TechStartups.com, based on CNBC/PitchBook analysis, June 2026
These aren’t obscure startups. Calendly is used by millions of professionals for meeting scheduling. Articulate is the industry standard for corporate e-learning. Picsart is used by millions of small business owners for visual content creation.
The question isn’t whether these specific tools will survive — some will pivot, some will be acquired, some will limp along for years. The question is: what’s your plan if the tool you depend on gets acquired and pivoted, raises prices dramatically, cuts support staff, or shuts down a key feature?
Why AI Is Killing Pre-2022 Software (And Why the Pace Is Accelerating)
To understand the risk to your software stack, you need to understand what’s actually happening economically.
In Q1 2026, AI companies captured approximately 80% of all venture capital funding — roughly $242 billion in a single quarter. That’s money that is not going to traditional SaaS companies. For startups that last raised funding in 2021, their average valuation has declined 68%. For 2022-vintage companies, 52%.
Why? Because the cost to build software has collapsed.
“Now you’re seeing 50 engineers do what it would’ve taken 500 engineers to do five years ago,” said Samir Kaul, a partner at Khosla Ventures and early OpenAI backer. That means new, AI-native competitors can build a better version of your scheduling tool, your e-learning platform, or your social media manager with a fraction of the team — and charge less for it.
Meanwhile, the companies that built those tools in 2020 are still carrying hundreds of employees, office leases, and infrastructure costs from an era when everything was more expensive. They’re being squeezed from both sides: less VC money to fund the transition and cheaper, faster competitors eating their market share.
“The thesis I had was that all workflow-driven enterprise SaaS companies will be either disrupted or dead in the next decade,” said David Zhu, a former engineering leader at DoorDash.
The Warning Signs Your Business Tool Is in Trouble
Not every SaaS company is on the edge of a cliff. But here are the red flags that suggest a tool you rely on may be heading for turbulence:
1. It Hasn’t Raised Funding in Three or More Years. Nearly half of all U.S. unicorn startups haven’t raised fresh capital in three years. Without new investment, these companies can’t afford to rebuild their products around AI, hire the talent needed to compete, or expand into new markets. Check Crunchbase or LinkedIn’s company page to see when a company’s last funding round was announced.
2. It Hasn’t Shipped a Meaningful AI Feature. In 2026, nearly every legitimate SaaS tool has either launched AI features or announced a roadmap for them. According to the 2025 SaaS Benchmarks Report by High Alpha, 92% of SaaS companies have AI features live or in progress. If a tool you pay for hasn’t added any meaningful AI functionality, that’s a sign the company is falling behind.
3. Price Increases Without Feature Improvements. Struggling companies often raise prices to generate more revenue from existing customers when they can’t grow their customer base. If you’ve received multiple price increase notices in the last 18 months with no meaningful new features, that’s a flag.
4. Support Has Gotten Slower or Worse. Layoffs at struggling SaaS companies often hit customer success and support teams first. If you’ve noticed longer response times, less helpful answers, or reduced documentation quality, the company may be quietly cutting costs.
5. Their Competitors Are Getting Funded and They’re Not. When you see a newer competitor in the same space closing a $50M Series B and adding AI features you’ve been requesting for years, pay attention. Investor dollars are a leading indicator. They go where the future is going.
The 5-Minute SaaS Audit Every Business Owner Should Do Today
Here’s a quick checklist to run through your current software stack. For each tool you pay for, answer these questions:
☐ How long have I been using this tool, and when did they last raise funding? Look up the company on Crunchbase. If it’s been more than three years since their last round and they’re not publicly traded, add this to your watch list.
☐ Have they launched any AI features in the last 12 months? Check their product update page or blog. Legitimate product velocity looks like monthly releases. Silence is a warning sign.
☐ What would I lose if this tool disappeared tomorrow? List your data, integrations, workflows, and customer-facing elements that depend on it. This is your migration risk score.
☐ Is there an AI-native alternative I should be testing? Almost every legacy SaaS category now has at least one newer, AI-native competitor that’s cheaper and faster. You don’t have to switch today — but you should know your options.
☐ Do I have an export of my data from this tool? If not, export it now. Customer lists, templates, integrations, historical data — make sure you own it in a portable format. Never let a vendor be the only place your data lives.
The Highest-Risk Categories Right Now (And AI-Native Alternatives)
Scheduling & Calendaring (Calendly at -74%): AI-native alternatives include Cal.com (open-source, free), Reclaim AI (auto-schedules around priorities), and Motion AI (combines tasks + calendar + scheduling).
E-Learning & Training (Articulate at -82%): AI-native alternatives include 360Learning, Docebo, or simply building short video training using tools like Synthesia or Loom AI. For small teams, a Notion wiki with embedded Loom videos does 80% of what Articulate does at zero cost.
Creative & Visual Tools (Picsart at -46%): AI-native alternatives include Canva AI (strong image generation, background removal, video editing), Adobe Express (free tier is excellent), and Ideogram or Midjourney for image generation.
Social Media Management: The social media management category is crowded with tools that haven’t meaningfully innovated since 2021. AI-native options like Taplio (LinkedIn), Metricool, and Publer now offer AI caption writing, optimal scheduling, and competitor analysis at lower prices than legacy platforms like Sprout Social or Hootsuite.
Customer Support & Live Chat: Pre-ChatGPT live chat tools are being demolished by AI-first competitors. Tidio (with AI Lyro), Intercom’s Fin AI, and Zendesk AI have all introduced AI agents that handle a majority of common support questions automatically.
How to Migrate Without Losing Your Data (or Your Mind)
If your audit reveals a tool that’s at risk and an AI-native alternative that’s clearly better, here’s how to migrate without disaster:
Run both tools in parallel for 30 days. Don’t cancel anything until the new tool has proven itself in real use. Free trials and freemium tiers make this possible for most categories.
Export your data first, before you start migrating. Contact lists, workflow templates, historical analytics, customer records — get everything in CSV, JSON, or PDF format before you touch anything else.
Migrate your least critical use cases first. Test the new tool on internal workflows or low-stakes processes before moving mission-critical customer-facing systems.
Check integrations before you commit. Zapier, Make, or native integrations that connect your tools are the most common migration headache. Make sure the new tool connects to everything you already use before you’re three weeks into the switch.
The Business Owner’s Takeaway
The AI disruption isn’t something happening to startups and VCs. It’s happening to the software you use every Tuesday to schedule meetings, train your team, and manage your customers.
That doesn’t mean you need to panic. Most tools won’t disappear overnight — they’ll raise prices, get acquired, or gradually reduce quality over a period of years. But the businesses that win in the next five years will be the ones that noticed the shift early, tested alternatives before they were forced to, and built their stacks on tools that are earning investment and shipping AI features — not coasting on a 2020 valuation.
Run the audit. Know what you depend on. Know what you’d do if it disappeared. If you’re building a new business from scratch, start with AI-native tools from day one and make sure your business structure supports long-term growth.
The tools that survive the next three years will be the ones that earned it. Make sure yours have.
Sources: TechStartups — AI is killing the unicorns | CNBC — Disrupted or Dead
Related: How to Start a Business With AI in 2026 | Side Hustle vs. LLC: When to Make It Official