AI Insights
For AI success, turn change resistance into change resilience :: WRAL.com

Executives worldwide are asking the same question: If artificial
intelligence (AI) is such a transformational force, why isn’t my company seeing
bigger results?
Despite the relentless hype, most organizations are still
struggling to turn AI investments into measurable business outcomes. Only 26%
of companies report tangible bottom-line benefits from AI, according to a Boston
Consulting Group survey of 1,000 global executives. Some leaders are
getting it right — 45% of these early adopters have seen lower costs, and 60%
report higher revenue growth than their peers. But for many more, the ROI is
still elusive.
The biggest obstacle isn’t technology. It’s people.
In the 2025
AI & Data Leadership Executive Benchmark Survey, 92% of respondents
said cultural resistance and change management challenges are slowing AI
adoption. Or, as Michael Wade and his co-authors write in MIT
Sloan Management Review, “It is the human side of the equation that
determines whether Gen[erative] AI initiatives truly succeed. … Success hinges
not just on infrastructure but on how people think, adapt, and collaborate with
AI.”
The takeaway is clear: AI success isn’t about having the
right tools. It’s about turning change resistance into change resilience.
Identify the roots of resistance
In sales, the key to success is understanding the needs of
your client and framing your product as a solution to those pain points.
Selling your workforce on the advantages of AI is no different. To drive
meaningful change, leaders must first understand why employees are hesitating.
Workers might feel skeptical about the technology, especially
if they aren’t sure how it will personally help them. And, if previous technological breakthroughs
have resulted in layoffs and restructuring, employees might feel greater
pressure to perform or be afraid of losing their jobs.
The only way to calm fear and uncertainty is with empathy
and communication. As renowned negotiator Chris Voss, co-author of “Never Split
the Difference,” explains in The New York Times, “When someone feels
thoroughly understood, you release potent forces for change within them.”
As I’ve written before, consistent
communication demonstrates that you care about employees, their challenges
and their well-being. This is the key to authentic empathy. When implementing a
change as monumental as AI integration, check in often with your team. Approach
these conversations with psychological safety in mind, so employees will be
more likely to come to you with their concerns. Ask them how they are feeling,
what they need and what their challenges are.
Leaders who listen with empathy and understanding can shift
the narrative from AI as a threat to AI as an opportunity.
Quality, not just quantity
CEOs and other senior executives are rightly excited about
the promise of AI to save time and increase productivity. Here’s the problem:
If you lead with that argument, your employees aren’t going to hear
“efficiency,” they’re going to hear “redundancy.”
If AI is framed only as a cost-saving measure, your adoption
strategy will suffer. Instead, focus on how AI enhances quality. Explain how it
frees people from mundane or repetitive tasks, so they can spend more time on deeper
thinking and creative problem-solving. Show how it creates capacity for
higher-value work and more meaningful human interaction.
That shift in framing is critical. Efficiency is a company
benefit. Quality is an individual benefit. And unless employees see personal
value, they won’t embrace the tools.
How you talk about AI in everyday conversations matters as
well. People want their contributions to matter, and if leaders describe
AI-created outputs as “better” or preferable to those created by a human, employees
may feel that their work isn’t valued or appreciated.
Your message should be consistent: AI is an assistant and thought
partner that amplifies human skills. It’s not
here to replace human expertise. It’s here to multiply it.
People-first strategies for AI integration
To succeed, AI adoption must be approached as a people
strategy as well as a business transformation. Leaders can reduce resistance
and accelerate resilience with the following practices:
1.
Build trust with transparency.
Change is unsettling, so leaders should be clear about why AI is being implemented,
how it will affect employees, and what steps will be taken to support them
through the transition. Communicate clearly about ethical safeguards, training
opportunities and job impacts.
2.
Cultivate a growth
mindset. Encourage employees to ask questions, experiment with
various AI tools, and contribute new ideas. Provide opportunities for feedback
and peer support. When people are involved in the process, they are less likely
to see AI as a threat.
3.
Create a meaningful message. Instead of
framing AI as a cost-saving tool, explain how the technology can be used to
eliminate mundane tasks. Emphasize how AI can help employees be more creative
or produce higher-quality work. Consistently describe AI as an assistant, not a
replacement, for skilled team members.
4.
Invest in training and upskilling. Ensure
employees feel equipped to use AI in their day-to-day work. Include training
with other professional development opportunities, promoting it as adding
lasting career skills. Encourage peer-to-peer learning to build
confidence.
Empathy inspires resilient cultures
AI is already reshaping the future of work, and organizations
will have to adapt. The companies that will thrive in this new environment will
be led by empathetic leaders who cultivate resilient cultures. Employees will
see AI as a partner in their success, not a threat to their survival.
To realize the tangible benefits of AI, leaders must go
beyond implementation to inspiration. It’s not enough to install new systems;
you must build trust, communicate with clarity, and empower your people to grow
with the technology.
The bottom line? Resistance is natural. Resilience is
intentional. If you want your workforce to embrace AI, start by treating
adoption as a human challenge — not just a technical one. The organizations that
get this right will unlock not just productivity, but the creativity, loyalty and discretionary effort that only people can deliver.
About the Author
Donald Thompson,
EY Entrepreneur Of The Year® 2023 SE Award-winner, founded The
Diversity Movement, a Workplace Options Company, to fundamentally transform the
modern workplace through diversity-led culture change. Recognized by Inc.,
Fast Company and Forbes, Thompson is author of Underestimated:
A CEO’s Unlikely Path to Success,
hosts the podcast “High Octane Leadership in an
Empathetic World” and has published widely on leadership and
the executive mindset. His latest book is The
Inclusive Leadership Handbook: Balancing People and Performance for
Sustainable Growth, co-authored with Kurt Merriweather, Vice
President of Global Marketing at Workplace Options. Follow Thompson on LinkedIn
for updates on news, events and his podcast, or contact him at info@donaldthompson.com
for executive coaching and speaking engagements.
AI Insights
Dick Yarbrough: A semi-intelligent look at artificial intelligence

Dick Yarbrough
Syndicated columnist
Dr. Geoffrey Hinton is a British-Canadian cognitive psychologist and computer scientist who won the Nobel Prize in Physics last year “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” Between you and me, I got hosed. I should have been a winner.
The Nobel committee obviously overlooked my own entry entitled, “One molecule of glucose bound to one molecule of fructose will make sugar and winning the Nobel Prize sure would be sweet.” I don’t think they know a lot about physics over there in Norway.
Just as I am known as a modest yet much-beloved columnist who bears an uncanny resemblance to a young Brad Pitt, Dr.
Hinton, who looks nothing like Brad Pitt, young or old, is considered the Godfather of Artificial Intelligence. That’s like being Godfather of the Mafia. Only worse.
If somebody in the Mafia got out of hand, you would just shoot them or put them in a tub of concrete and deposit them in the East River. According to Dr. Hinton, artificial intelligence is likely to get rid of anybody left in the Mafia and the rest of us as well, and it won’t need a gun or a sack of concrete to do it.
“It’s not inconceivable,” he has stated, “that artificial intelligence could wipe out humanity,” saying that there was a “10 to 20 percent chance” that AI would be the cause of human extinction within the following three decades. In fact, many experts expect AI to advance, probably in the next 20 years, to be “smarter than people.”
Admittedly, I am not the go-to person on the subjects of cognitive psychology and computer science (although knowing how sugar is made is pretty impressive), but I would posit that it is not going to take 20 years for artificial intelligence to get smarter than people.
That’s already occurred in some instances. Just look at Congress.
Can you see a computer saying, “Beep! Beep!
Hey, I want to suck up to Donald Trump. I think I will propose changing the name of Greenland to Red, White and Blueland and then he will get me elected to the Senate where I can do other dumb stuff. Boop!” There are some things a computer won’t do, even if a member of Congress will.
Dr. Hinton also worries about the impact of AI on religion. He says, “I think religion will be in trouble if we create other beings. Once we start creating beings that can think for themselves and do things for themselves, maybe even have bodies if they’re robots, we may start realizing we’re less special than we thought.
And the idea that we’re very special and we were made in the image of God, that idea may go out the window.” An interesting observation.
Theologically speaking, if computers become robots, will there be girl robots and boy robots?
If so, will boy robots let girl robots in the pulpit?
Or will the boy robots tell other robots that if they think girl robots should be allowed to preach, they will be condemned to spend eternity in an electronic waste disposal bin at Best Buys?
As to whether or not we are made in the image of God, I believe that’s God’s call, not mine. Creation is His thing. I will say that had God asked me, there are a few people He created that I think we could just as soon done without. I couldn’t find His image in them with a flashlight. Maybe He just put them here to show us He has a sense of humor.
I probably won’t be around to see how all this plays out, but despite the Godfather of AI’s ominous warning, no robot will ever make me feel less special. I’ve got a family that loves me more than I deserve. I have friends that have stood with me through the good times and the bad. I had a rewarding career. I am blessed to live in this special state in this special country.
Most of all, thanks to a benevolent editor willing overlook misplaced commas and grammatical errors (Is it who or whom?), I have the opportunity to share my thoughts with you each week and to receive your feedback. That may come in the form of a kudo or a rap on the knuckles. I suspect robots won’t give a flying algorithm for you or your opinions. I do.
And there is nothing artificial about that.
You can reach Dick Yarbrough at dick@dickyarbrough. com or at P.O. Box 725373, Atlanta, Georgia 31139.
AI Insights
Oracle (ORCL) Stock Soars 40% on AI Boom and $455B Cloud Backlog While Going Green

Oracle Corporation (NASDAQ: ORCL) surprised the markets today with a dramatic stock rally. Its shares jumped more than 40%, reaching record highs and placing the company near the trillion-dollar club. This sharp increase was powered by huge demand for Oracle’s cloud services, especially for artificial intelligence (AI) and big partnerships.
Wall Street focused on the financial side, but Oracle also highlighted something else: its environmental goals. The company wants to show that fast growth can go hand in hand with sustainability. By investing in both AI and green programs, Oracle is shaping an image as a modern tech leader that balances profit with responsibility.
Record-Breaking Rally: Oracle’s Biggest Jump in Decades
The jump in Oracle’s stock was its largest in more than 30 years. Investors reacted to news that Oracle signed multiple multi-billion-dollar contracts with tech giants such as OpenAI, Meta, and NVIDIA.
These contracts are tied to AI cloud services and pushed Oracle’s contract backlog to around $455 billion, a sharp rise from $130 billion just a quarter earlier.
This backlog shows how fast demand for Oracle Cloud Infrastructure (OCI) is growing. The company responded by raising its forecast for OCI revenue. It now expects 77% growth this fiscal year, higher than its earlier estimate of 70%. The company also predicts $18 billion in cloud revenue in 2025 and has set a long-term target of $144 billion by 2030.
The growth reflects the global rush to build AI systems. Oracle has placed itself at the center of this movement, partnering in major projects such as the Stargate initiative led by SoftBank and OpenAI. These deals highlight Oracle’s role in powering the next generation of AI.
Recent Developments Strengthening Oracle’s Position
On top of these strong results, Oracle has made headlines with two new announcements that underline its growing role in AI.
The first is a massive deal with OpenAI. Beginning in 2027, OpenAI will purchase at least $300 billion worth of computing power from Oracle over five years. This is one of the largest cloud agreements in history, and it shows how central Oracle has become to advanced AI systems. For Oracle, it marks a major vote of confidence from one of the most important AI companies in the world.
Oracle’s stock surged to a record high. This boosted the company’s market value to nearly $1 trillion. The rally also made headlines for another reason: it boosted co-founder Larry Ellison’s wealth by more than $100 billion in a single day, making him the world’s richest person.
Greener Growth: Oracle’s Path to Net Zero
Amid the AI excitement and stock rally, Oracle is pushing its green message. The company has promised to be carbon neutral by 2050. It also set a nearer goal to cut greenhouse gas emissions in half by 2030, using 2020 as its baseline year. These goals cover its offices, data centers, and cloud services.

Oracle has already achieved some key milestones:
- Renewable power: 86% of OCI’s global energy came from renewables in 2023.
- Regional progress: Europe and Latin America already run on 100% renewable power.
- Global ambition: Oracle plans to hit 100% renewable energy worldwide by 2025.
- Water and waste: Since 2020, water use has dropped by almost 25% and landfill waste by more than 35%.
- Travel impact: Employee air travel emissions have been cut by 38% thanks to more virtual meetings.
These achievements prove Oracle is not only talking about sustainability but also acting on it. For a company scaling up fast in cloud and AI, these steps are important. They show Oracle is trying to balance expansion with its responsibility to the planet.
Pushing Green Standards Across the Supply Chain
Oracle knows its environmental impact extends beyond its own walls. A big part of its footprint comes from suppliers. That’s why the company is pushing its partners to meet strict environmental standards.

Here are some of the key steps:
- Supplier programs: All major suppliers must have environmental programs.
- Emission targets: At least 80% of suppliers are expected to set formal climate goals.
- Progress: More than four in five suppliers already meet these expectations.
- Broader impact: By setting these standards, Oracle ensures its ESG efforts reach across its global supply chain.
This approach boosts Oracle’s credibility. It tells investors and clients that the company’s sustainability commitments are not limited to its own operations. Instead, they cover the full ecosystem of partners that make its technology possible.
AI-Powered Tools for Climate Accountability
Oracle is also building tools to help other companies meet their climate goals. One of these is Fusion Cloud Enterprise Performance Management (EPM) for ESG. This platform allows organizations to automate sustainability reporting, integrate emissions data with financial information, and align with global standards.
The system uses AI to make reporting easier and more accurate. This is important as regulators push companies to disclose their environmental impacts in more detail.
-
It combines Scope 1, 2, and 3 emissions data based on the GHG Protocol Corporate Standard. This links emissions to financial and operational data, helping with better ESG management.
-
Oracle improved its ESG reporting with this platform. They cut reporting timelines by 30% using automation and AI-driven process management.
-
The platform collects unique identifiers from source documents. This ensures clear data tracking and auditability. It boosts transparency and lowers compliance risks.
-
It supports global reporting standards like IFRS, ESRS (CSRD), and GRI. This helps organizations align their disclosures with changing regulations easily.
Oracle has also introduced features in its cloud infrastructure that estimate emissions from customer workloads. This means clients can see how much carbon their computing generates and adjust operations to stay on track with their own sustainability commitments. By doing this, Oracle is not only greening its own business but also helping others.
The Tough Road Ahead: Energy Demands vs. Climate Goals
Still, Oracle faces challenges in meeting its promises. Reaching 100% renewable energy worldwide is difficult, especially in regions where clean energy options are limited. Ensuring suppliers stick to emissions goals is also complex, given the size of Oracle’s global network.
Another challenge is the massive energy demand of AI. As Oracle expands its role in AI infrastructure, its energy use will rise. Balancing this growth with its climate goals will require new investment in efficient data centers, renewable sourcing, and innovations in green computing.
Oracle’s record-breaking stock surge highlights its importance in the AI and cloud industry. But what makes its story more powerful is the balance it is trying to strike between growth and sustainability. By pledging net zero emissions by 2050, setting ambitious near-term targets, and building tools for others to track emissions, Oracle is showing that technology and responsibility can go together.
For investors, Oracle now offers both a high-growth AI story and a strong ESG narrative. For customers, it provides powerful cloud services backed by renewable energy and transparent carbon data.
As Oracle continues to grow, its ability to deliver on both financial and environmental goals may define its future as one of the world’s most influential technology leaders.
AI Insights
Loneliness Is Reshaping Your Workplace

As a seasoned senior vice president at a global tech firm, Sharon wasn’t expecting to feel emotional while listening to a keynote. But as former U.S. Surgeon General Dr. Vivek Murthy spoke, describing how loneliness has become a public health crisis, something clicked. “It wasn’t that the information was new,” she told us. “It was that I suddenly saw the evidence everywhere—in my team, in our culture, even in myself.”
-
Business2 weeks ago
The Guardian view on Trump and the Fed: independence is no substitute for accountability | Editorial
-
Tools & Platforms1 month ago
Building Trust in Military AI Starts with Opening the Black Box – War on the Rocks
-
Ethics & Policy2 months ago
SDAIA Supports Saudi Arabia’s Leadership in Shaping Global AI Ethics, Policy, and Research – وكالة الأنباء السعودية
-
Events & Conferences4 months ago
Journey to 1000 models: Scaling Instagram’s recommendation system
-
Jobs & Careers2 months ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Podcasts & Talks2 months ago
Happy 4th of July! 🎆 Made with Veo 3 in Gemini
-
Education2 months ago
Macron says UK and France have duty to tackle illegal migration ‘with humanity, solidarity and firmness’ – UK politics live | Politics
-
Education2 months ago
VEX Robotics launches AI-powered classroom robotics system
-
Funding & Business2 months ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries
-
Podcasts & Talks2 months ago
OpenAI 🤝 @teamganassi