Thursday, August 6
Business · Technology · Leadership

How Amberton University’s Applied AI Degree Prepares Graduates for What the Workforce Actually Needs Right Now

By: Mary Brown

Companies are not struggling to find AI tools. They are struggling to find people who know what to do with them.

Amberton University built a graduate degree around that gap. The Garland, Texas institution offers a Master of Science in Applied Artificial Intelligence, a 30-credit-hour program delivered fully online. The degree targets working professionals who want to lead AI adoption inside their organizations rather than watch it happen around them.

Dr. J. Alexander Sinclair serves as Professor of Business, Research, and AI at Amberton University and coordinates the AI program. He also developed the university’s first Applied Artificial Intelligence for Business course.

“Companies out there are hungry, not just for AI, but more for people who know how to use AI and can help leverage that in their businesses,” Dr. Sinclair said.

He speaks regularly with area business groups, including the East Dallas Chamber of Commerce. Those conversations shape what happens in Amberton University’s virtual classrooms.

A Portfolio Instead of a Promise

Most graduate programs end with a transcript. Amberton University’s AI degree ends with proof of work.

Students build an AI portfolio throughout the program. They develop, deploy, and refine projects inside Amberton’s AI Testing Environment, an interactive platform woven into the coursework. Each graduate leaves with a documented body of work to show employers.

Sinclair considers this the clearest answer to a crowded market of online AI courses. “You can sit back, and you can learn about things,” he said. “But here, we actually are allowing students the opportunity to develop a really solid portfolio that they can bring with them into the workforce that they could potentially apply right away.”

He described how that plays out in a job interview. A hiring manager asks about AI experience. Instead of a vague claim, the graduate has a demonstration ready. “As a matter of fact, I created my own agent bot that can make certain macros on Excel spreadsheets. Would you like me to demonstrate that for you?” Dr. Sinclair said, sketching the exchange.

Built to Outlast the Hype Cycle

AI moves fast enough to make any curriculum nervous. Dr. Sinclair does not deny it. “The capabilities of AI have increased a lot over the last four months,” he said, pointing to rapid gains in video and voice generation.

Amberton designed the program with that churn in mind. The university treats AI as a workplace tool, not a research subject. “We’ve never really looked at AI as anything more than a tool that can help our students be more successful in the workforce,” Dr. Sinclair said.

That framing keeps the program anchored to skills rather than any single platform. Faculty revise courses continuously as the technology shifts. The instructors bring more than academic credentials to that task. “Not only are our faculty here academics, but we’re also practitioners in the field,” Dr. Sinclair said.

AI in Every Classroom, Not Just One Degree

The master’s program sits inside a larger institutional commitment. Under President Dr. Carol A. Palmer, Amberton University embedded AI into its entire curriculum. “Every single class, 100% of our classes, has an AI component or competency now,” Dr. Palmer states.

Economics students use AI to predict market equilibrium. Communications students analyze AI-generated messaging. Business students explore AI-driven financial tools. The Applied AI degree extends that baseline into full professional training.

The curriculum emphasizes strategic decision-making, ethical leadership, and advanced analytics. Core courses include Applied AI for Business, Artificial Intelligence Essentials, AI-Driven Innovation and Strategy, and Applied Predictive Analytics. Students also complete coursework in leadership communication, research methods, and ethics.

Graduates prepare for roles such as AI strategist, analytics manager, AI project lead, and ethical AI advisor. Students can add stackable graduate certificates along the way, with options in data analytics, cybersecurity management, and project management.

The price stays modest by graduate school standards. Tuition runs $325 per credit hour, and courses fit into 10-week sessions built for working adults. The university has also announced a tuition freeze for the 2026-2027 academic year.

The Interview Question Is Changing

Dr. Sinclair believes hiring itself will soon look different in the future. Many businesses still cannot articulate what AI can do for them. As that changes, he expects interview questions to move past surface familiarity.

“It’s not just, ‘Are you experienced with this particular platform?” he said. “The real interview questions will eventually be like, well, tell me about how you would use that platform to work on this project, to team up with AI, and how would you present that to your supervisor.”

He sees communication as the real test. Anyone can paste AI output into an email. Employers will want people who can direct the technology, judge its work, and present the results with credibility.

Education Over Fear

Dr. Sinclair spends part of his time addressing a quieter obstacle: anxiety. Plenty of professionals still avoid AI or assume it will replace them.

“The best thing that people can do is educate themselves as much as possible with it so they can have these types of discussions without being fear-based, but being more education-based,” he said.

His ambition for Amberton University reaches past its enrollment numbers. He hopes the university can stand as a flagship school, at least in the local area, and maybe across the country as that workforce-applied artificial intelligence and technology school.

Amberton has educated working adults since 1971. Its applied AI degree makes a plain wager: the professionals who learn to work with AI now will lead everyone else through it.

About Amberton University

Founded in 1971, Amberton University specializes in affordable, flexible degree programs for working adults. Programs are offered online and on campus, taught by practitioner-faculty, and anchored in career relevance and service excellence.

Meta Buys Stilla.ai to Expand Business Agent

Meta buys Stilla.ai as Meta Platforms adds a small Stockholm artificial intelligence company to its expanding commerce technology operation. The reported deal centers on Meta Business Agent, the company’s system for handling business conversations and transactions across WhatsApp, Messenger and Instagram, while adding founders with previous Shopify product experience.

Key Takeaways

  • Meta has reportedly acquired Stilla.ai, with its team and technology expected to join Meta after the transaction closes.
  • Financial terms of the transaction have not been disclosed.
  • Stilla emerged from stealth in January 2026 with $5 million in pre-seed funding led by General Catalyst.
  • Meta said in June that more than one million businesses were already using Meta Business Agent on WhatsApp and Messenger.
  • The deal links Meta’s business messaging strategy with Stilla’s work on AI agents, shared context and connected workplace tools.

Meta Buys Stilla.ai as Business Agent Becomes a Commerce Priority

Meta Platforms has acquired Stilla.ai, a Stockholm-based AI startup founded by former Shopify product leaders, to support development of Meta Business Agent, according to acquisition reporting published Sept. 9.

Financial terms were not disclosed. Stilla’s team and technology are expected to move to Meta after the transaction closes, and Meta plans to expand its presence in Sweden, according to the report.

The significance of the deal lies less in Stilla’s size than in the Meta product it is expected to support.

Meta Business Agent was introduced in June as an AI system capable of answering business-specific questions, recommending products, booking appointments, qualifying incoming leads and supporting sales conversations. Meta said more than one million businesses were already using Business Agent on WhatsApp and Messenger when it announced the wider rollout.

Reuters separately reported in June that Meta was pushing further into enterprise AI through Business Agent and its accompanying platform. The system can connect with outside services including Shopify and Zendesk, giving businesses a way to link automated conversations with existing operational systems.

Stilla Brings Shopify Experience and Shared-Context AI

Stilla was founded by Siavash Ghorbani and Kaj Drobin, who previously worked together at Shopify after the commerce company acquired their earlier startup, Tictail.

General Catalyst said Ghorbani and Drobin later worked on Shop and Shop Pay, giving the founders experience building products used by merchants and consumers at significant scale.

Stilla emerged from stealth on Jan. 20, 2026, after announcing $5 million in pre-seed funding led by General Catalyst. The company described its technology as an intelligence layer intended to keep human teams and AI systems aligned across workplace applications.

Its current platform connects with services including Slack, Microsoft Teams, GitHub, Google Calendar, Gmail and other workplace tools. Stilla says its agents can pull live context from connected systems, perform scheduled tasks and operate within granular permissions that determine what each agent can read or modify.

That architecture creates a practical connection to Meta’s business-agent strategy. A commerce-focused AI system may need access to product information, customer interactions and outside business systems while remaining within defined operational controls.

Ghorbani described the underlying problem when Stilla launched earlier this year: “Without real-time shared context, speed creates chaos.”

Meta Business Agent Moves Beyond Basic Customer Replies

Meta has positioned Business Agent as more than an automated customer-service responder.

The company says the system can make product recommendations, book appointments, qualify leads and allow a business to determine when an employee should take over a conversation. Its Business Agent Platform is also designed to connect with hundreds of outside systems, with Meta naming Shopify, Zendesk and Shopee among supported examples.

Meta also disclosed the scale of the messaging environment in which the product operates. The company said more than one billion active threads with businesses take place across WhatsApp, Messenger and Instagram each day.

The development fits a broader rise in AI-powered commerce technology that combines product discovery, recommendations and automated customer interactions rather than treating each function as a separate digital tool.

Meta has been extending that approach into other parts of its services. In March, the company announced AI-assisted shopping features designed to surface product information after people click advertisements or visit websites from Facebook or Instagram. In May, Meta added shopping capabilities that allow Meta AI to surface Marketplace listings alongside products found elsewhere online.

The Stilla transaction could add technical experience in connecting agents with multiple applications and live information. Meta has not publicly detailed which Stilla capabilities will be incorporated into Business Agent, so any direct effect on sales, customer conversion or merchant performance remains unverified.

AI Agents Are Moving Into Business Operations

The reported acquisition also comes as AI developers increasingly build systems designed to perform actions across software rather than simply generate responses.

Stilla already follows that model. Its product materials describe agents that can monitor connected tools, perform recurring workflows, update documents, work with code and act on information collected from workplace applications.

The broader market for AI agents for business services includes products aimed at sales, marketing, customer engagement and other operational functions.

Meta Buys Stilla.ai to Expand Business Agent

Photo Credit: Unsplash.com

That shift also introduces practical concerns around permissions, data access, accuracy and the point at which an automated system should hand control back to an employee. Stilla’s own product documentation emphasizes granular controls that restrict which resources an agent can access and modify.

Meta faces those operational issues across messaging platforms already used by businesses and consumers at large scale.

The company has also begun establishing a commercial model for its enterprise AI products. Meta said Business Agent would initially be available free, with paid subscription options planned later. Reuters similarly reported that subscriptions were expected after the initial rollout.

As Meta buys Stilla.ai, several transaction details remain undisclosed, including the purchase price and a specific integration timeline. The clearest connection is between Stilla’s work on context-aware, permission-controlled AI agents and Meta’s effort to make Business Agent capable of handling more commercial activity across its messaging services.

Frequently Asked Questions

What is Stilla.ai?

Stilla.ai is a Stockholm-based AI company founded by Siavash Ghorbani and Kaj Drobin. Its platform is designed to maintain shared context across workplace applications and allow AI agents to carry out permitted tasks.

Why did Meta buy Stilla.ai?

Meta buys Stilla.ai to support development of Meta Business Agent, according to reporting on the transaction. Stilla’s technology focuses on connected tools, shared context and agent workflows, areas that overlap with Meta’s business messaging plans.

How much did Meta pay for Stilla.ai?

The financial terms have not been publicly disclosed. Stilla announced $5 million in pre-seed funding in January 2026, several months before the acquisition was reported.

What does Meta Business Agent do?

Meta says Business Agent can answer customer questions, recommend products, book appointments, qualify leads and support sales interactions. Its platform can also connect with outside business systems including Shopify and Zendesk.

Has Meta explained how Stilla’s technology will be used?

Meta has not publicly provided a detailed integration plan or identified individual Stilla features that will become part of Business Agent. Reporting on the deal says Stilla’s team and technology are expected to join Meta after the transaction closes.

 

Comparing Factor Rates and Estimated APR in Business Financing

Business financing is priced differently than almost any other kind of borrowing, using a convention called a factor rate that looks deceptively simple but frequently leaves business owners with a badly distorted sense of what an offer actually costs. Understanding this gap can mean the difference between recognizing a genuinely fair offer and one that costs considerably more than it first appears to.

Why a Factor Rate Isn’t an Interest Rate

A factor rate is a multiplier, not a percentage that accrues over time. A 1.30 factor on $100,000 means a business repays $130,000 total, and that $30,000 cost is fixed on day one, regardless of how quickly the balance is repaid. This differs fundamentally from a traditional interest rate, which accrues specifically on whatever balance remains outstanding, meaning the true cost naturally declines as the balance falls throughout repayment.

A factor rate instead charges the full cost upfront, then collects that already-fixed amount in daily or weekly installments while the balance is already declining. Run through an actual payment schedule, a 1.30 factor repaid daily over twelve months works out to an estimated annual percentage rate closer to 55%, not the 30% figure a business owner might reasonably assume just from glancing at the factor rate itself.

Seeing the Real Number Before You Commit

Fundivi, a direct lender and hybrid funding platform, built a free tool specifically to close this gap. The cost calculator takes the exact terms of any real offer, product type, funding amount, factor rate, term length, and payment frequency, and calculates an estimated APR, total repayment, and total cost of capital, all worked out directly from the actual payment schedule rather than the factor rate alone.

Fundivi’s own published example makes the gap concrete: a $100,000 revenue-based financing offer at a 1.30 factor rate, repaid daily over twelve months, works out to an estimated 54.8% APR, a total repayment of $130,000, and daily payments of $515.87 across 252 business days. For comparison, a conventional term loan on the same amount and term at an estimated 12.99% APR would cost roughly $6,661 in interest, meaning the factor rate structure costs $23,339 more on an identical amount and timeline.

Why Term Length Is the Lever Most People Miss

One of the most counterintuitive details the calculator reveals is how dramatically term length affects the annualized cost, even though the actual dollar cost never changes. That same 1.30 factor still costs exactly $30,000 on $100,000 whether the term is six months or eighteen. What shifts considerably is the annualized rate: roughly 109% APR over six months, 55% over twelve months, and 37% over eighteen months on a daily schedule.

A shorter term is not, contrary to what many business owners assume, a cheaper deal. It’s a considerably more expensive one on an annualized basis, and it demands a larger share of weekly cash flow to service the same fixed dollar cost over a shorter window.

What the Calculator Doesn’t Include

Fundivi is clear that the estimate excludes origination fees, servicing fees, and any other charges a specific funder might add, all of which would push the real APR even higher. Every figure is an estimate built from the numbers entered, and actual terms ultimately depend on what a specific funder offers.

Why Factor Rate Pricing Confuses So Many Business Owners

Most business owners come to their first financing search with a mental model of borrowing shaped by mortgages, auto loans, and credit cards, all of which are priced using a traditional interest rate that accrues on a declining balance. Factor rate pricing breaks that mental model entirely, and lenders quoting a factor rate rarely go out of their way to explain the difference, since a 1.30 factor genuinely sounds, at first glance, like a considerably smaller number than a 55% annualized rate would.

This mismatch between how business financing is actually priced and how most borrowers instinctively think about cost has real consequences. A business owner comparing a factor rate offer against a traditional bank loan quoted in APR terms, without converting both to the same basis, is essentially comparing two entirely different units of measurement and drawing conclusions that may be badly wrong as a result.

The Same Deal, Three Different Numbers

Placed side by side, a single underlying deal can look genuinely different depending on how it’s described. Quoted simply as a factor rate, an offer might show as 1.30, with $30,000 in cost of capital. Annualized on the actual payment schedule, that same deal becomes roughly 54.8% APR, with the identical $30,000 cost of capital, just expressed against the calendar year rather than as a flat multiplier. A conventional term loan on the same amount and term, by contrast, might carry an estimated APR closer to 13%, costing considerably less in absolute dollars despite being repaid over the identical timeframe.

None of these three descriptions is technically inaccurate. They’re simply different lenses on the same underlying cost, and a business owner who only ever sees the first one, the raw factor rate, is missing the two comparisons that actually matter most when deciding whether a specific offer represents genuinely fair value.

How Payment Frequency Changes the Math Further

Beyond term length, payment frequency itself meaningfully affects how a factor rate translates into an annualized figure. A daily repayment schedule collects the same total cost in smaller, more frequent installments than a weekly or monthly schedule would, and because daily schedules are typically annualized against actual business days rather than calendar days, the resulting APR calculation reflects a genuinely different payment cadence than a business owner might initially assume from the factor rate and term length alone.

Understanding this interaction between term length and payment frequency, rather than focusing on the factor rate in isolation, is precisely what separates a genuinely informed comparison from one based on an incomplete picture, and it’s exactly the kind of nuance a simple factor rate quoted on its own can never fully communicate.

Frequently Asked Questions

Why Can’t I Just Compare Factor Rates Directly Between Two Offers?

Because term length and payment frequency both affect the true annualized cost dramatically, even when two offers show identical factor rates. A lower factor rate with a shorter term can genuinely cost more than a higher factor rate with a longer term once both are properly annualized.

Does The Calculator Work For Offers From Lenders Other Than Fundivi?

Yes. The tool is built to calculate the true cost of any factor rate offer, regardless of which lender issued it, using only the terms you enter.

Is The APR Shown By The Calculator The Exact Rate I’ll Pay?

It’s a close estimate based on the payment schedule you enter, but it excludes fees like origination or servicing charges that a specific funder might add, which would push the real cost slightly higher.

Why Does The Calculator Use 252 Days Instead Of 365 For Daily Schedules?

Because daily repayment schedules typically only debit on actual business days, and 252 reflects that real payment cadence more accurately than a calculation based on calendar days would.

Should I Use This Calculator Before Or After Receiving An Offer?

Both have value. Before receiving an offer, it helps you understand generally how factor rate pricing works. After receiving one, it converts that specific offer into a number you can genuinely compare against other financing options.

Getting Started

Business owners with an existing offer can enter its exact terms into the cost calculator directly. Those still exploring options can first check what they might qualify for using Fundivi’s self-underwriting tool, then see which specific product fits their need through the product matching calculator before ever comparing a real offer’s true cost. For a deeper look at how factor rate pricing works across different products, Fundivi’s resource library covers the details in plain language.

Disclaimer: This article is for general informational purposes only and does not constitute financial, legal, or lending advice. Calculations and examples are estimates and may not include origination fees, servicing fees, or other charges. Actual rates, repayment terms, and eligibility vary by provider and applicant. Review all financing documents carefully and consult a qualified professional before making a financial decision.