Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Harnessing the AI Revolution For Businesses Means Balancing Risks, Rewards, and Ethical Considerations

High risks, high rewards – an ideal mantra businesses should adopt as they navigate the AI revolution, which is rapidly accelerating and bringing both challenges and benefits in its wake. The rapid advancements in AI technology, including groundbreaking tools like OpenAI’s ChatGPT and Google’s text-to-video AI, have opened up a world of possibilities for businesses…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Software And Technology · Ai AdoptionAi EthicsAi ImplementationAi in Business
Share

Key takeaways

01

High risks, high rewards – an ideal mantra businesses should adopt as they navigate the AI revolution, which is rapidly accelerating and bringing both challenges and benefits in its wake.

02

The rapid advancements in AI technology, including groundbreaking tools like OpenAI’s ChatGPT and Google’s text-to-video AI, have opened up a world of possibilities for businesses…

Get featured

Want to get featured in MarketScale Software & Technology?

Create a free MarketScale workspace and get your company's expertise featured across our Software & Technology coverage. No credit card, no demo required.

Request an invite

High risks, high rewards – an ideal mantra businesses should adopt as they navigate the AI revolution, which is rapidly accelerating and bringing both challenges and benefits in its wake. The rapid advancements in AI technology, including groundbreaking tools like OpenAI’s ChatGPT and Google’s text-to-video AI, have opened up a world of possibilities for businesses to harness. But are firms effectively prepared to navigate the AI revolution for businesses? Will they be able to reap the benefits while overcoming the potential pitfalls?

As companies embrace the AI revolution for businesses, they stand to gain significantly in terms of efficiency, cost savings, and new revenue streams. For example, innovative chatbots are poised to evolve into versatile tools that merge language and image manipulation, offering users a more engaging and interactive experience. Yet, the rapid growth of this technology also brings forth challenges, such as discerning truth from falsehood and tackling biases ingrained in AI models.

With this in mind, it is crucial for companies looking to capitalize on AI’s potential to focus on smoothly integrating AI systems into their existing workflows, commit to employee training, and stay up-to-date with the latest advancements in the field.

Can businesses truly unlock the full potential of AI without risking their credibility? Rebecca Wettemann, the CEO of technology advisory firm Valoir, believes the timing couldn’t be more crucial for businesses to harness the technology effectively – and emphasizes the importance of trust, ethics, and transparency in AI implementation. 

Rebecca’s Thoughts: 

“I’ve been following artificial intelligence and automation as an analyst for a long time. The difference today, as ChatGPT’s buzz has certainly shown us, is that it’s moved out of the hands of data scientists into the hands of business users. Anyone who can type can leverage the power of AI.

We’ll see more and more embedded AI and business applications moving forward. The potential benefit for business in terms of productivity is huge, but so are the potential risks. Just like any technology, AI can be used for good things and bad things. Trust will be a big factor moving forward.

Understanding the ethics and data use model training and transparency when AI is used will be big topics in the coming months and years. Business leaders need to keep telling themselves that this is just technology. Its successful application will depend on the humans who make decisions around it.

If we think back to when the email came out, we got great benefits in terms of productivity and efficiency, but we also got spam, phishing and people that always replied to all. AI’s Productivity potential is exponentially that of email, but so are its risks. Well, AI job disruption will create some HR challenges. Ironically, HR is an area where AI can really help with identifying coaching opportunities for employees, matching workers with collaborators and mentors who can help them learn new skills and helping employees navigate the disruption that AI will definitely produce in job roles and activities. 

Key to effective adoption for businesses is going to be building trust, giving users insights about where the data driving any recommendations is coming from, helping them to compare AI-driven results versus their own, and having clear and transparent policies around data use will be really important. 

There are significant potential benefits for AI when we think about applications in areas like customer relationship management, whether it’s sales, service or marketing.

AI can help tune and develop content for specific audiences, automate email responses or update knowledge bases with relevant service information. We’ve already seen CRM vendors start to innovate in these areas; the important thing to remember is that AI is like an enthusiastic but ignorant intern. There’s going to be always a need for adult correction, direction and oversight.”

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

SA
Software And Technology

Follow Software & Technology Insights

Get new expert content in your inbox.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

AI could raise enterprise IT costs by as much as 75% in less than a decade

AI could raise enterprise IT costs by as much as 75% in less than a decade

Bain & Company projects AI could raise enterprise IT costs by as much as 75% in less than a decade. Procurement and IT teams will feel it first. The impact shows up in vendor contracts, capacity planning, and governance workflows.

  • 01A 75% IT cost lift is no longer a scare number, it is becoming a budgeting baseline once security, data movement, and talent are counted (Bain via CIO Dive).
  • 02For firms standardizing on AI agents, contract language is shifting toward reliability and control artifacts, not model brand names (KPMG certification coverage via CIO Dive).
  • 03Infrastructure availability is turning into a scheduling problem, not a procurement event, with Dell citing a $95B AI backlog that can push deployments into future quarters (CIO).

Sep 5, 2026

CDK puts its built-in CDP inside dealership workflows, not behind another login

CDK puts its built-in CDP inside dealership workflows, not behind another login

CDK launched a built-in customer data platform for its Dealership Xperience platform ahead of NADA Show 2026. It unifies data across systems into a single profile with AI summaries inside existing workflows. No extra login.

  • 01CDK is betting a CDP that ships inside the dealer platform shifts the “customer 360” problem from data ingestion to adoption where advisors and sales reps already work.
  • 02CDK’s promise of benchmarks and metrics (lease loyalty, months between repair orders) makes CDP value easier to verify, if dealers align definitions and data-quality rules first.
  • 03For groups planning Open API integrations, if the CDP becomes where identity is resolved, integration specs shift from “move data” to policy work: match rules, householding, and record permissions.

Sep 5, 2026

Dell’s $95B AI backlog is turning AI rollouts into a delivery-date problem

Dell has a reported $95B AI backlog. AI infrastructure lead times are still a gating factor in 2026. Bain & Co. analysis, reported by CIO Dive, expects higher IT costs, while pricing shifts and on-prem moves are changing procurement playbooks.

  • 01A vendor’s backlog number is becoming a planning input, it indicates when AI timelines are gated by physical delivery, not approvals.
  • 02Outcome-based AI pricing sounds like savings, but it shifts risk into defining outcomes, metering how they are measured, and vendor governance.
  • 03The return to private cloud and on-prem for some AI workloads suggests facilities power, rack space, and supply contracts belong in AI roadmaps early.

Sep 5, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

SA
Software And Technology

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512