1
Bitcoin Bitcoin btc
Price$112,339
24h %-1.67%
Circulating Supply$19,909,571
2
Ethereum Ethereum eth
Price$4,231
24h %-2.70%
Circulating Supply$120,707,592
3
XRP XRP xrp
Price$2.87
24h %-3.34%
Circulating Supply$59,418,500,720
4
Tether Tether usdt
Price$1.000
24h %-0.02%
Circulating Supply$167,059,822,575
5
BNB BNB bnb
Price$837
24h %-4.15%
Circulating Supply$139,287,482
Friday, August 22, 2025
Home » After 1,750 Layoffs, Can Workday Prove It Made the Right Bet on AI?

After 1,750 Layoffs, Can Workday Prove It Made the Right Bet on AI?

by Team QTRLY News
0 comments

Layoffs are never easy. They make headlines, shake employee morale, and raise questions from Wall Street. So when Workday announced 1,750 job cuts earlier this year, the immediate reaction was skepticism: why would a company still growing in revenue let go of nearly 7% of its workforce?

The answer Workday gave was simple yet bold: artificial intelligence. By trimming certain roles and redirecting resources, Workday is betting big that its future lies in AI-powered automation and digital transformation. But the real question is whether this gamble pays off — or if it risks alienating customers, employees, and investors along the way.

As the dust settles, the market is watching closely: Can Workday prove that these layoffs weren’t a retreat, but rather a strategic reset that propels it into the AI era?


Why Workday Restructured Around AI

Workday isn’t the first big tech company to restructure around AI, but its move is unique because of the timing and scale. Unlike firms battling declining sales, Workday has been delivering consistent growth in both subscriptions and revenues.

So why the layoffs? The company explained that it wants to double down on AI innovation, particularly in products like:

  • Illuminate Agents → AI copilots designed to automate repetitive HR and finance tasks.
  • Predictive analytics → Tools that help companies forecast hiring, retention, and workforce costs with precision.
  • Enhanced user experiences → Making HR platforms as intuitive as consumer-grade apps, powered by machine learning.

In other words, Workday is making a conscious trade-off: fewer people in manual or overlapping functions, more investment in AI engineers, product teams, and automation specialists.

Forward-looking thought: If executed well, this reset could position Workday as the default AI-driven HR and finance platform, a title no one has fully claimed yet.


The Human Side of the Story

But here’s the tricky part: AI transformation doesn’t just disrupt customers; it disrupts employees too. Layoffs are painful for those leaving and stressful for those staying. In industries like HR and enterprise software, trust matters — both internally and externally.

  • Internally: Remaining employees must believe in Workday’s AI vision, or morale could slip.
  • Externally: Customers may question whether layoffs will impact product support, implementation, or service quality.

Workday’s leadership insists that the layoffs were targeted and strategic, not broad cost-cutting. Still, it will need to prove that customer experience remains intact while innovation speeds up.


Why AI Is Central to Workday’s Future

So, what exactly makes AI so important for Workday? Let’s look at the bigger picture.

1. AI Is Reshaping HR and Finance

From resume screening to payroll auditing, AI can automate thousands of hours of human effort. Companies are desperate for these efficiencies, especially during uncertain economic times.

If Workday builds tools that cut HR teams’ workloads by 30–40%, it instantly becomes more valuable to every enterprise customer.

2. Competitors Are Moving Fast

Oracle, SAP, and a swarm of startups are embedding AI into their HR and finance products. Workday can’t afford to lag. Layoffs were part of reallocating resources to stay ahead of this curve.

3. AI Creates Stickier Customers

The more predictive and automated Workday’s platform becomes, the harder it will be for companies to switch to rivals. AI isn’t just a feature—it’s a moat.


Risks of the AI Bet

Of course, every bold move carries risks. Here are the big ones facing Workday:

  • Execution risk: AI products take time to develop and test. Customers expect reliable systems, not half-baked tools.
  • Perception risk: Investors may worry that layoffs reflect deeper cracks in the business, even if leadership says otherwise.
  • Competitive risk: If Oracle or SAP launches stronger AI features faster, Workday could lose its innovation edge.
  • Trust risk: HR is deeply personal; if AI feels intrusive or biased, adoption could stall.

Forward-looking thought: For Workday, success means balancing innovation with trust. Its AI rollout must feel empowering, not threatening, to the humans who ultimately use the software.


Investor Lens: What Wall Street Wants to See

Wall Street was initially cautious about the layoffs, but analysts are now watching three key signals:

  1. AI adoption rates → Are customers actually using Illuminate Agents and other AI tools?
  2. Efficiency gains → Does Workday’s own cost base improve thanks to AI?
  3. Customer retention → Do the layoffs hurt service quality, or do clients stay loyal?

If Workday can show rising adoption and efficiency, Wall Street may view the layoffs as a masterstroke of foresight rather than a red flag.


Looking Forward: What 2025 Could Look Like

The next 12–18 months will be pivotal for Workday. Here are three possible futures:

1. The Breakthrough Scenario

AI tools like Illuminate Agents become massively popular, cutting costs for clients and making HR managers love Workday even more. Investors reward the company with a rising stock price, and competitors scramble to catch up.

2. The Stumble Scenario

Workday’s AI rollouts prove buggy or underwhelming. Customers complain, adoption lags, and rivals gain ground. The layoffs then look like short-sighted cuts instead of smart reallocation.

3. The Middle Ground

Workday’s AI push succeeds in pockets—such as predictive analytics—but not universally. Growth continues, but the “wow factor” that could make it a breakout stock isn’t fully realized.


Why This Story Matters Beyond Workday

This isn’t just about one company. Workday’s restructuring is a case study for the entire enterprise software industry. Every major tech player is wrestling with the same questions:

  • How do you balance human jobs with AI investment?
  • Can you cut staff and still keep innovation momentum?
  • Will customers embrace AI deeply enough to justify the disruption?

Workday may not just be betting on AI for its own future; it could be writing the playbook for the next era of enterprise software.


Final Thought: A Risk Worth Taking?

At the end of the day, the layoffs were painful, but they may also have been necessary. Workday’s leadership is signaling that it refuses to be complacent. Instead of coasting on existing products, it’s making a big, uncomfortable bet on the future of work.

Will it pay off? The jury’s still out. But one thing is clear: if Workday succeeds, it won’t just prove the layoffs were justified — it will prove that AI really is the next great engine of enterprise transformation.

And in that case, Workday won’t just survive the headlines. It could come out the other side as one of the most important tech stories of the decade.

You may also like

Leave a Comment