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The AI Advantage: What Smart Business Owners Are Doing Differently in 2026

Written by spacityadmin on . Posted in AI, Business, Latest News, Strategy.

Here is a number worth sitting with: according to PwC’s 2026 AI Performance Study, 74% of the economic value created by AI is being captured by just 20% of companies. Everyone else is experimenting, spending, and hoping—but not winning.

If you run a business between $5 million and $50 million in revenue, you are almost certainly somewhere in the middle of this picture. You have probably adopted a few AI tools. Your team may be using ChatGPT for content or email drafts. You might be exploring automation in your operations. But the results have felt scattered. Helpful in spots, but not transformational.

That gap—between the companies AI is helping a little and the companies AI is genuinely accelerating—is not about technology. It is about leadership and process. Specifically, it is about how the owner is thinking about AI’s role in the business and how to transform business processes.

The Mistake Most Business Owners Are Making

The most common mistake I see is treating AI like a tool rather than a strategy. Business owners hand it to individual team members and say, ‘figure out how to use this.’ A few people do. Most do not. And the business captures a fraction of the possible value.

The companies in that top 20% are doing something different. According to IBM’s 2026 CEO Study, the CEOs of high-performing AI organizations are spending more than eight hours per week personally learning and directing AI adoption. They are not delegating the thinking. They are leading it.

That does not mean you need to become a technologist. It means you need to understand enough about what AI can and cannot do to make smart decisions about where it belongs in your business model. That is a leadership challenge, not a technical one.

Where AI Actually Creates Value for Your Size Business

For businesses in the $5M–$50M range, AI creates the most immediate value in three areas.

The first is decision support. Your instincts are valuable. But they are also shaped by what you have already experienced. AI can surface patterns across data that you would never have the time to analyze manually—customer behavior, pricing sensitivity, hiring patterns, operational bottlenecks. Used well, it does not replace your judgment. It improves the inputs your judgment is working from.

This is especially important if you are struggling with decision fatigue. When every decision flows through one person—you—the quality of those decisions erodes over time. AI does not eliminate that problem, but it can significantly reduce the cognitive load on the decisions that matter least, freeing you to think clearly about the ones that matter most.

The second area is operations. Scheduling, invoicing, inventory alerts, customer follow-up sequences, HR onboarding flows—these are the processes that consume enormous amounts of time in a $5M or $20M business, and they are also the processes most ready to be automated. The businesses capturing real AI value have mapped their operational workflows and systematically identified where a human is not actually required.

The third is marketing and content. This is where most business owners start, and they are right to. AI has become genuinely excellent at helping small businesses produce the volume of content, outreach, and follow-up that used to require a much larger team. The caveat: AI can produce the volume, but you still need to bring the voice. Content that converts is content that sounds like you, not like a machine.

The Leadership Question AI Cannot Answer

Here is the thing about AI that does not get discussed enough: it is extraordinarily good at executing on clarity and extraordinarily bad at creating it. If you do not have a clear strategy, a clear ideal customer, and a clear set of priorities, AI will help you pursue the wrong things faster. This is one of the core challenges I see in the shift from founder to CEO. Early-stage business owners often have strategic ambiguity baked into how they operate. That ambiguity was survivable when everything was slower. With AI accelerating execution, the cost of strategic confusion goes up significantly.

This is why the business owners getting the most out of AI are typically also the ones who have done the hardest leadership work: clarifying what they are building, who they serve, and what they are not going to do. AI does not make strategy less important. It makes it more important.

What the Winning 20% Have in Common

Based on the research and what I observe in my coaching work, the business owners capturing real value from AI share a few consistent traits. They treat AI adoption as a leadership initiative, not an IT initiative. They have identified two or three high-value use cases and gone deep on those rather than spreading AI thinly across everything. And they have built their teams’ capacity to work with AI—not just given people access to tools. This connects directly to what high-performing leadership teams do differently: they align on strategy first, then build the systems to execute it. AI is no different.

The 80% who are not capturing AI’s value are not failing because they lack the tools. They are failing because they have not made the leadership decisions that allow the tools to deliver. They are implementing before they have clarity. They are delegating the thinking before they have done it themselves.

A Practical Starting Point

If you want to close the gap between where you are and where the top performers are, start with one question: what is the highest-cost, lowest-judgment activity in your business right now?

Highest-cost means it consumes significant time from you or your team. Lowest-judgment means it does not require deep expertise or relationship—it is mostly process. That intersection is your best first AI opportunity. Fix it there. Learn from it. Then move to the next one.

If you want a more structured approach, this framework for evaluating the ROI of strategic investments applies directly to how you should be thinking about AI adoption. The discipline is the same: be clear about what you are trying to achieve, measure what changes, and do not mistake activity for progress.

AI is not going to make leadership easier. It is going to make strategic clarity more valuable. The business owners who win the next decade will be the ones who used this moment not just to adopt better tools, but to become sharper, clearer, more deliberate leaders. That is the advantage the top 20% already have. And it is available to you.

So What’s Next?

If you know you need to be doing something with AI, but aren’t sure what or where to start, the Newlogiq AI Assessment is worth exploring.  It is a structured 6-week package that includes education, an assessment of your current operations and a detailed 4-6 item roadmap with a guaranteed ROI that you can adopt.  It is a great starting point for owners and leaders of $5-$100M businesses.  Contact us today to learn more.

The AI Divide Is Real: What Small Business Owners Need to Know in 2026

Written by spacityadmin on . Posted in AI, Business, Latest News, Strategy.

LinkedIn is buzzing with a single conversation right now. Business owners, CEOs, and founders across every industry are asking the same question: “Are we falling behind on AI?” The answer, for most small businesses, is complicated. And that’s exactly why this topic deserves your full attention.

LinkedIn’s own economists have called 2026 “the defining year for small business AI adoption.” And the data backs that up. A QuickBooks survey found that 68% of U.S. small businesses now use AI regularly — up from just 48% in mid-2024. But here’s the part that almost nobody is talking about: adoption rate does not equal advantage. Using AI is not the same as using it well. For business owners running companies in the $5 million to $50 million range — especially family businesses — the AI conversation is filled with noise. Everyone is promising transformation. Most of what gets implemented ends up being a glorified email shortcut. Let’s cut through that.

The Gap Is Growing — And It’s Happening Fast

The Federal Reserve published research in April 2026 tracking AI adoption patterns across the U.S. economy. What they found should wake up any owner who has been on the sidelines: companies that adopted AI tools earlier are now pulling away from competitors at a pace that is difficult to close. It is not just about speed. It is about compounding advantage.

Here is a simple way to think about it. Imagine a business that uses AI to handle its weekly reporting, draft client communications, analyze margin data, and screen job applicants. That business gets back roughly six to ten hours of leadership time every week. Multiply that across a year and you are looking at 300 to 500 hours returned to strategy, client relationships, and growth. A competitor who is not doing this is running slower — permanently. This is what I call the AI divide. And it is not between big companies and small ones. It is between the small businesses that have gotten intentional about AI and the ones still treating it as a curiosity.

What’s Actually Working Right Now

When I work with business owners inside my coaching practice, I ask one simple question before we talk about any tool: “What is eating your time that does not require you specifically?” The answers are almost always the same. Reports. Emails. Research. Scheduling. Meeting summaries. Drafting SOPs. These are not strategic tasks. And they are exactly where AI earns its keep.

The data backs this up. According to 2026 research aggregated across multiple SMB studies, 62% of small businesses are using AI primarily for data analysis and reporting — the highest ROI category by a wide margin. Marketing automation comes in second at 54%. And the average productivity gain from generative AI tools works out to roughly $7,800 per employee per year. For a company with 20 employees, that is $156,000 in recovered capacity — without adding a single headcount.

But here is where most small businesses get it wrong. They buy tools before they buy clarity. They subscribe to five platforms, use none of them consistently, and conclude that “AI doesn’t work for our business.” That is not an AI problem. That is a process problem. I have written about how decision fatigue and poor decision frameworks derail even the best-intentioned leaders. The same principle applies here. Too many options, no clear filter.

Three Moves Every Small Business Owner Should Make Right Now

The first move is to audit your time — not your tools. Before you download anything, spend one week tracking where you and your leadership team are spending time on tasks that do not require your direct judgment. Most owners are shocked by what they find. This is not about efficiency for efficiency’s sake. It is about identifying where AI can buy you back the time you need to lead.

The second move is to start small and specific. Do not try to transform your entire operation in 90 days. Pick one workflow — meeting summaries, weekly reports, first drafts of client communications — and get great at using AI for that one thing. Master it. Then expand. The businesses building real advantage right now are not the ones chasing the newest tools. They are the ones who get disciplined about quarterly priorities and execute with focus.

The third move is to invest in your team’s AI literacy, not just your own. One of the most common mistakes I see is the owner becoming the AI champion while the team stays skeptical. Your business will only scale if your people are using these tools consistently. This is fundamentally a leadership development conversation as much as it is a technology conversation. The owner who hoards the tools creates a bottleneck. The owner who trains the team creates leverage.

A Real-World Example of the AI Advantage

Consider a hypothetical family-owned distribution company running about $18 million in revenue. The owner spends roughly 12 hours each week in operational review meetings, writing updates, and answering status questions that his team could handle with better systems. After working together on a 90-day AI integration plan — meeting transcription tools, automated weekly reporting dashboards, AI-drafted client proposals — that time drops to under four hours. What does he do with the extra eight hours? He visits two new prospective clients per week, re-engages a supplier relationship he had let drift, and starts working on the succession plan he has been putting off for two years.

That is not a technology story. That is a leadership story. AI just removed the obstacles. This kind of outcome is available to most small business owners. The gap is not technical. It is clarity about where to start and the discipline to follow through. If you are working through the Scaling Up or EOS frameworks, AI integration fits naturally into your rhythm. It supports your meeting structures, your KPIs, your accountability cadence. It does not replace the system — it accelerates it.

What AI Cannot Replace (And Why That Matters)

There is a counterweight to all of this worth naming directly. I have written about what AI genuinely cannot do, and that list matters now more than ever as AI becomes more capable. AI cannot replace your judgment about your people. It cannot sense the tension in a room during a family business disagreement. It cannot have the hard conversation with an underperforming manager or read the quiet signals in a client relationship that is starting to drift. These are the moments where leadership still wins — and where coaching still matters.

The best frame I have found: AI helps you execute faster, but it cannot help you choose the right strategy. Strategy is still yours. The goal is to free your brain from operational noise so you can think more clearly about the moves that actually matter.

The Question Worth Asking Yourself

Here is the version of the AI question I think is worth sitting with. Not “Are we using AI?” but “Is AI buying us more time to become the kind of company we want to be?” For a family business, that might mean the founder finally has two hours every Friday to think about succession. For a manufacturing CEO, it might mean the leadership team gets out of status meetings and into genuine strategy conversations. For a service company, it might mean proposals go out in two hours instead of two days.

The competitive environment in 2026 is real. The scaling challenges do not get easier. But the tools available to small business owners have never been more accessible. The question is whether you are going to use them with intention — or let the noise decide for you.

At Newlogiq, we work with business owners in the $5M–$50M range to build the clarity, systems, and leadership habits that create sustainable growth. If you are trying to figure out how AI fits into your strategy — not just your workflow — reach out at newlogiq.com. We would love to help you think it through.

Five Things AI Will Never Do for Your Business (No Matter How Advanced It Gets)

Written by spacityadmin on . Posted in AI, Business, Latest News.

Everyone is talking about AI. Your inbox is full of tools, your LinkedIn feed is packed with “AI transformed my business” stories, and your competitors are experimenting. If you’re running a $5M–$50M company right now, the pressure to adopt AI is real—and in many cases, the technology genuinely can help you work faster, analyze data better, and streamline operations.

But here’s the thing nobody in the AI sales pitch is telling you. There are five things AI simply cannot do for your business—not today, not in five years, not ever in the way a human leader can. And if you let the excitement of automation make you forget about these five things, you will build a faster business that is emptier, less trusted, and harder to scale than the one you have today.

Let’s be clear-eyed about what AI can’t do. Not to dismiss it. But to keep you focused on what only you can provide.

(Before we get into the five things, make sure you have an actual AI strategy, not just AI tools. Read: Why Modern Leaders Need an AI Strategy—Not Just AI Tools.)

1. AI Cannot Build Trust With Your Team

Trust is built through a thousand small moments. The time you had a hard conversation with a team member who was underperforming and handled it with both honesty and respect. The morning you showed up after a rough quarter and chose to be honest about what went wrong instead of spinning the story. The moment you remembered something personal about someone’s life and asked about it.

AI can draft a thoughtful message. It can remind you of a birthday. It can even simulate empathy in text. But your team is not fooled by a machine. They know the difference between a leader who is present, who listens, who leans in—and an algorithm trying to mimic that. Trust is a human currency. It is earned by humans, over time, through consistent behavior. AI cannot earn it for you.

Research from Fortune and Deloitte published in early 2026 found that leadership teams that rely too heavily on AI-mediated communication are seeing measurable drops in psychological safety and team cohesion. The teams thriving right now are those where leaders are using AI to free up time so they can be more human—not less.

2. AI Cannot Make Values-Based Decisions

Every business eventually faces a decision where the numbers don’t tell you what to do. Do you cut a long-tenured employee who is no longer performing but has given 15 years to the company? Do you walk away from a profitable client who treats your team with disrespect? Do you say no to a growth opportunity that conflicts with what you stand for?

These are not math problems. They are values problems. And AI cannot solve them for you because AI does not have values. It has training data and optimization functions. Those are not the same thing. The most important decisions your company will make—the ones that define your culture and your reputation—require a leader who knows what you stand for, not a model that knows what similar companies have done.

This is one reason why developing your company’s core values is not a decoration exercise. If you’re on the fence about that, the next post in this series on values will be relevant. For now, read about how leadership misalignment often starts here: The Hidden Cost of Leadership Misalignment.

3. AI Cannot Coach Your People Through Hard Times

One of the most consistent findings in executive coaching research is that leaders change their behavior most durably when they are in a real relationship with a real coach—someone who knows their history, sees their blind spots, and holds them accountable not just to their goals but to who they are trying to become.

AI-powered coaching tools are emerging, and some have genuine utility for tracking habits or providing structured feedback. But they cannot do what Marshall Goldsmith describes as the deep behavioral change that comes from genuine human feedback loops. They cannot sit across the table from a CEO who just lost a major client and help that person process what happened, take ownership of their role in it, and rebuild their confidence. They cannot read the room. They cannot feel the weight of the moment.

Coaching your people through hard times—through layoffs, through family business conflict, through leadership transitions—is intrinsicly human work. A hypothetical that resonates with many business owners: imagine a company that automates its employee development program entirely through AI tools. Productivity metrics improve. Retention crashes within a year. People felt processed, not developed. The lesson was expensive.

For a look at how leadership development actually works in a sustained coaching model, see: What High-Performing Leadership Teams Do Differently.

4. AI Cannot Replace Your Contextual Judgment

Contextual judgment is the ability to read a situation in all its complexity—the history of the relationship, the unspoken tensions in the room, the moment in the company’s life cycle, the cultural dynamics on the team—and make a call that is wise given everything you know. Not just everything in the data.

An AI model can analyze five years of financial data and tell you whether a new product line looks profitable on paper. It cannot tell you that your operations manager is stretched too thin and that adding this product line right now will break something important. It cannot tell you that your number-one salesperson’s confidence is fragile after last quarter’s miss and that now is not the time to restructure commissions—even if the spreadsheet says you should.

Researchers at IE Business School in Spain describe contextual judgment as one of the irreplaceable leadership capacities—not because AI lacks data, but because context includes human variables that are not in any dataset. Your judgment, built from years of leading this specific team through these specific challenges, is not something that can be modeled or outsourced.

5. AI Cannot Own Accountability

Accountability in a company flows from human beings who choose to own outcomes. It is a choice—and choices require agency, moral responsibility, and consequence. An AI does not experience consequences. It does not feel the weight of having let someone down. It does not lie awake at night after a bad quarter. It does not show up the next morning with renewed resolve.

When your leadership team is accountable, it is because those leaders have decided that the outcomes of this business matter to them personally. They are not just executing a plan. They are invested. AI can track commitments, send reminders, and flag when targets are missed. But it cannot create accountability in the people who report to you. Only you can do that—through how you lead, how you hold standards, and how you model ownership yourself.

This is precisely why the transition from founder to CEO is such a critical growth moment. The temptation to automate your way around leadership responsibilities is real. But it is a trap. Read: From Founder to CEO: The Hardest Identity Shift No One Warns You About.

What This Means for You

None of this is an argument against using AI. Use it. Use it aggressively. Use it to draft, analyze, automate, and accelerate. Let it handle the work that does not require a human being.

But do not let the efficiency of AI make you lazy about the irreplaceable work of leadership. The five things above—building trust, making values-based decisions, coaching people through hard times, exercising contextual judgment, and owning accountability—these are the things your business needs from you. Not from a model. From you.

According to a March 2026 Fortune investigation citing Deloitte and Wharton researchers, the companies struggling most with AI adoption are not those that moved too slowly—they are the ones that moved so fast they forgot to invest in the human leadership required to make AI implementation work. The technology is not the bottleneck. Leadership is.

So yes, embrace the tools. And then show up more fully as the human leader your company needs. That combination—great tools and great leadership—is what will separate the businesses that thrive in 2026 from those that just look busy.

Your Next Step

Take five minutes this week and ask yourself honestly: am I using AI to enhance my leadership, or am I using it to avoid the harder work of leading? If the honest answer makes you a little uncomfortable, that’s probably the right place to start.

At Newlogiq, we work with business owners and CEOs to build the kind of leadership that technology cannot replace. If you’re ready to develop your team, sharpen your judgment, and build a business that is as human as it is efficient, let’s talk.

—————

Jeff Oskin is the founder of Newlogiq and a Scaling Up and DISCPlus certified coach. He works with $5M–$50M business owners and family businesses to build leadership, create execution systems, and scale with confidence.

The Value of an AI Assessment for SMBs

Written by spacityadmin on . Posted in AI, Latest News, Strategy.

In today’s rapidly evolving business landscape, small and medium-sized businesses (SMBs) are increasingly turning to artificial intelligence (AI) technology to gain a competitive edge.

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Jeff Oskin Headshot

Jeff Oskin

Owner

In today’s rapidly evolving business landscape, small and medium-sized businesses (SMBs) are increasingly turning to artificial intelligence (AI) technology to gain a competitive edge. An AI assessment refers to the process of evaluating a company’s current capabilities, determining how AI can be leveraged to drive growth and innovation and developing an AI roadmap with associated ROI. For SMBs, investing in AI technology is crucial for staying ahead of the curve and meeting the demands of an increasingly digital marketplace.  An AI assessment is the pragmatic first step in navigating the complex and rapidly changing field of artificial intelligence.

Benefits of AI Assessment for SMBs

One of the key benefits of conducting an AI assessment for SMBs is the potential to identify areas where AI can drive increased efficiency and productivity. By automating repetitive tasks and streamlining processes, AI technology can help SMBs operate more effectively and focus on strategic initiatives. Additionally, AI can lead to significant cost savings by reducing manual labor and optimizing resource allocation.

Moreover, an AI assessment can identify ways to improve decision-making for SMBs. By leveraging AI-powered analytics and insights, businesses can make data-driven decisions that drive growth and profitability. This can also lead to enhanced customer experiences, as AI technology can personalize interactions and anticipate customer needs.

Next, AI assessments, when properly done, can provide SMBs with insights into new market opportunities and trends that may provide a competitive advantage.  By leveraging AI to analyze market data and consumer behavior, businesses can stay ahead of competitors and adapt quickly to changing market conditions.

Finally, AI assessments can help SMBs improve their internal processes and workflows by identifying bottlenecks and inefficiencies that may be hindering growth. By implementing AI solutions to optimize operations, businesses can streamline their processes, reduce costs, and enhance overall productivity.

How to Conduct an AI Assessment

To conduct an AI assessment for SMBs, it is essential to first understand the company’s business goals and objectives. By aligning AI initiatives with strategic priorities, SMBs can ensure that technology investments deliver tangible results. Next, businesses should identify key areas for AI implementation, such as customer service, marketing, or operations. Finally, selecting the right AI tools and technologies is crucial for successful implementation and maximizing ROI.

When conducting an AI assessment, SMBs should also consider the scalability and flexibility of targeted AI solutions to ensure that they can adapt to changing business needs and technological advancements. By choosing AI technologies that can grow and evolve with the business, SMBs can future-proof their investments and stay competitive in the long run.

Finally, collaboration and communication are key components of a successful AI assessment. A well run AI assessment involves key stakeholders from different departments in the assessment process to ensure that all perspectives and requirements are taken into account. By fostering a culture of collaboration and innovation, businesses can quickly identify ways to maximize the benefits of AI technology and drive sustainable growth.

Case Studies

Several SMBs have already experienced success with AI assessments. For example, a retail startup implemented AI-powered inventory management systems, resulting in a 20% increase in sales and a 30% reduction in overhead costs.  

In another case study, a manufacturing company utilized AI technology to optimize their supply chain management processes, resulting in a 25% reduction in lead times and a 15% increase in production efficiency. By leveraging AI to forecast demand, manage inventory levels, and streamline logistics, the company was able to improve operational efficiency and meet customer demands more effectively.

Finally, a financial services firm implemented AI-powered chatbots to enhance the customer experience, resulting in a 40% reduction in customer query response times and a 25% increase in customer satisfaction ratings. By leveraging AI to provide personalized and timely support to customers, the firm was able to improve customer loyalty and retention rates.

Conclusion

In conclusion, the value of an AI assessment for SMBs cannot be overstated. By developing a clear roadmap to leverage AI technology, businesses can drive efficiency, cost savings, improved decision-making, and enhanced customer experiences. As AI continues to evolve, SMBs that begin their journey with an AI assessment are well-positioned to thrive in the digital economy. Looking ahead, the future outlook for AI technology in SMBs is promising, with continued advancements and opportunities for growth and innovation. To learn more about how Newlogiq can provide you a personalized AI assessment, setup a free introductory appointment today.

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A Whitepaper: Developing a Pragmatic AI Strategy for SMBs

Written by spacityadmin on . Posted in AI, Consulting, Latest News, Strategy, Whitepaper.

A Whitepaper: Developing a Pragmatic AI Strategy for SMBs

In today’s fast-paced technology driven world, Artificial Intelligence (AI) is no longer the exclusive domain of large corporations with hefty budgets. Small-to-mid-sized businesses (SMBs) can also harness the power of AI to streamline operations, enhance customer experiences, and drive growth. However, the key to success lies in developing a pragmatic AI strategy tailored to the unique needs and constraints of SMBs. This whitepaper, authored by Newlogiq, explores the considerations necessary to effectively implement AI within SMBs.

Understanding the Basics of AI

Before delving into strategy, it’s essential to understand what AI entails. At its core, AI refers to the simulation of human intelligence in machines programmed to think, learn, act and emote like humans. There are several types of AI:

  • Narrow AI: This is designed to perform a narrow task (e.g., facial recognition or internet searches).
  • General AI: This type would possess the capability to perform any intellectual task that a human can do.
  • Superintelligent AI: This surpasses human intelligence in every aspect, from creativity to problem-solving.

For SMBs, Narrow AI is the most relevant, as it can be integrated into various business processes to offer immediate and tangible benefits. Narrow AI applications, such as chatbots and predictive analytics, can address specific business challenges without requiring extensive resources.

Understanding these types of AI is crucial for SMBs because it sets realistic expectations and helps in selecting the most suitable AI technologies. While General AI and Superintelligent AI remain largely theoretical and beyond the reach of SMBs, Narrow AI provides practical solutions that can be implemented today.

By focusing on Narrow AI, SMBs can avoid the pitfalls of over-ambition and instead concentrate on achievable goals that deliver measurable results. This focus allows for a more targeted approach, ensuring that resources are used efficiently and effectively.

To Read the Entire Whitepaper, Please Complete this Form…

Don’t Make These 5 Key Artificial Intelligence Adoption Mistakes

Written by spacityadmin on . Posted in AI, Consulting, Latest News.

Artificial intelligence (AI) is one of the most significant technological innovations of the 21st century.

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Jeff Oskin Headshot

Jeff Oskin

Owner

Artificial intelligence (AI) is one of the most significant technological innovations of the 21st century. It has the potential to revolutionize the way businesses operate, from improving productivity and efficiency to creating new products and services. However, AI adoption is not as straightforward as it may seem. Many businesses face challenges in implementing AI technology. As a CEO or business owner, you need to be aware of the obstacles that come with AI adoption so that you can address them effectively. In this blog post, we’ll discuss some of the key challenges of AI adoption and how to overcome them.

Lack of Skilled Personnel

One of the biggest challenges of AI adoption is the lack of skilled personnel to develop and implement AI technology. Many businesses lack in-house expertise in AI, and hiring specialized professionals can be expensive and time-consuming. According to a report by Indeed Hiring Lab, job postings for AI and machine learning (ML) positions have increased by over 30% in the last year, but the supply of qualified candidates still falls short of the demand.

To overcome this challenge, businesses can set up training programs for existing employees to upskill them in AI and ML. They can also partner with universities or training institutions to create pipelines of qualified candidates. Finally, business leaders can outsource initial forays into AI to third-party experts, such as Newlogiq, who can help get the AI ball rolling while simultaneously developing internal skills.

Data Quality and Availability

AI technology relies heavily on data, and the quality and availability of data can significantly impact its effectiveness. If the data is incomplete, outdated, or inaccurate, it can lead to biased or incorrect results. Many businesses struggle with collecting and preparing high-quality data for AI applications.

To address this challenge, businesses need to invest in high-quality data management systems that can ensure the accuracy and completeness of data. Infrastructure such as data lakes, data warehouses, etc. are critical for more advanced AI deployments, especially if you want the algorithms to take into account your data (vs. be a tool to assist your existing staff). It’s also essential to consider the ethical implications of using data in AI applications and ensure that it aligns with your company values and policies.

Cost of Implementation

Implementing AI technology can be expensive, especially for smaller businesses. The cost of hardware, software, and personnel can quickly add up, making it challenging for businesses to adopt AI technology.

To overcome this challenge, businesses can start by piloting small AI projects before embarking on large-scale implementations. They can also consider outsourcing AI development and implementation to reduce costs. Newlogiq has designed several services for this exact scenario.

Change Management

Resistance to change is a common challenge that many businesses face when implementing new technologies. It can be challenging to get employees to adopt new tools and systems, especially if they have been using traditional methods for a long time. Further, much of the hype surrounding AI is focused on “worker replacement”, which will naturally instill fear in your teams.

To address this challenge, businesses need to create a culture of innovation and encourage employees to embrace change. It’s essential to involve employees in the process of implementing AI technology, so they feel invested in its success. Using AI to make your existing staff more effective needs to be the mantra for AI deployments.

Ethics and Regulation

The ethical implications of AI technology are becoming increasingly important for businesses to consider. There are concerns about the potential misuse of AI, including biased decision-making, privacy violations, and job displacement. In addition, there are regulations in place for certain industries that require compliance with ethical guidelines.

To address this challenge, businesses need to establish ethical guidelines and policies for AI technology. They should also monitor the regulatory environment and ensure compliance with relevant laws and regulations.

Conclusion

AI technology has the potential to transform businesses, but its adoption comes with significant challenges. Businesses need to be aware of these challenges and take steps to address them. By investing in skilled personnel, high-quality data management systems, and ethical guidelines, businesses can overcome these obstacles and realize the benefits of AI technology. As a CEO or business owner, taking a proactive approach to AI adoption can give your business a competitive edge and position it for success in the digital age. To learn more about how Newlogiq is helping businesses just like yours avoid these key AI adoption challenges, contact Newlogiq today.

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