logo
AI at work: Five hard truths every business leader needs to hear

AI at work: Five hard truths every business leader needs to hear

Techday NZ17 hours ago
If you're feeling behind on AI, you're not alone. According to Talent's latest AI survey, nearly 48% of organisations say they're still in the experimental or pilot phase of AI adoption. This figure might sound like a red flag but according to their experts, it's a natural and necessary step.
In their most recent webinar, 'What's next: How is AI really changing the way we work?', they unpacked the realities of AI adoption with two sharp minds in tech and recruitment: JP Browne, Practise Lead from Talent Auckland, and Jack Jorgensen, General Manager – Data, AI & Innovation at Avec, their IT consultancy arm. Together, they explored the real blockers, risks, and opportunities leaders need to wrap their heads around in 2025.
1. Most companies are still figuring it out
The gap between AI hype and delivery is wide, and tinkering with tools like ChatGPT doesn't mean your business is ready to run AI in production. As Jack points out, "There's a big difference between punching in a search query and building something deterministic and robust enough to run in enterprise systems […] Having organisations stuck in that pilot stage isn't a bad thing. It means they're finding the limitations of the tech and discovering what it can actually do well"
The main takeaway both experts emphasised were: Don't rush to a "full rollout." Use the pilot phase to build guardrails, clean up your data, and decide what AI is actually for in your business.
2. Executive urgency doesn't equal ownership
Talent's recent AI survey found that for 31% of organisations, IT or technology departments are seen as the primary drivers of AI adoption. Alternatively, Jack has observed that, "IT isn't driving AI, they're just putting up the guardrails. However, because execs don't know who should own it, they're lumping it in tech's lap."
According to JP, "For the first time ever, I've got IT leaders saying, 'We can't implement what you want until we've fixed security and infrastructure.'" 41% of leaders say their biggest blockers are lack of strategy and unclear goals. Execs want AI yesterday but, without a clear owner or roadmap, most strategies stall.
The result? IT teams are stuck between enabling the business and playing the bad guy. And without a cohesive plan, budgets dry up fast.
3. People are nervous
In the webinar, JP stated, "You can't bury your head in the sand. AI's affecting workflows and job design, and people are understandably unsure where they fit." However, in the midst of such concerns, Jack reassured, "I'm seeing less job displacement and more evolution. But we need to be honest about where AI changes the game."
The fear around AI is real, and it isn't just about job losses. Talent's AI survey showed: 60% are concerned about ethics or compliance risks
58% fear loss of human oversight
57% worry about inaccuracy and hallucinations
Business leaders need to address these fears head-on, not just with reassurance but with transparent, actionable education.
4. Security is the #1 barrier – and that's a good thing
46.2% of leaders said security concerns are the top reason they're cautious about AI, and Talent experts say that's the right instinct. Between real-world data breaches and shadow AI usage, the risks are everywhere.
"If I could rate that 46% stat above 100%, I would. Security and compliance should be front of mind. Full stop," shared Jack.
From accidental uploads of entire CRMs into ChatGPT (yes, that really happened) to AI-generated code opening up backdoors for attackers, this is not the time to "move fast and break things."
5. AI is quietly changing workforce planning
The shift is subtle, but it's coming. One in four leaders say they're actively exploring how AI might reshape the roles they hire for and 12.1% surveyed are already using it to reduce manual work.
As a longtime recruiter in New Zealand, JP shares his observations, "We're not seeing mass hiring of AI engineers, but we are seeing increased demand for system engineers and data people." While AI isn't replacing people yet, it is changing the kind of people you need.
Conclusion: AI readiness is a journey, not a silver bullet
From security fears to strategy gaps, the state of AI in business today is still murky, but that's not a reason to stall. As Jack puts it, "If you're jumping in without looking, you're probably going to break your ankles. But if you plan, pilot, and build velocity? That's the win."
So, the real question isn't whether AI should be part of your business because it already is, but do you know where, how, and why it's showing up?
Want to find out what else Talent's AI survey revealed? Access the full report.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Exclusive: Enterprise Wide discusses how SAP's AI is transforming retail
Exclusive: Enterprise Wide discusses how SAP's AI is transforming retail

Techday NZ

time17 hours ago

  • Techday NZ

Exclusive: Enterprise Wide discusses how SAP's AI is transforming retail

Artificial intelligence is very quickly becoming a game-changer in retail, by delivering efficiency gains, better customer experiences and even sustainability benefits. Speaking during an interview at the SAP NOW AI Tour in Melbourne, Evan Mantis, Managing Director of Enterprise Wide, explained that while AI has "surged in popularity" in recent years, SAP has been deploying AI and machine learning in retail for decades. "A major grocery retailer is leveraging AI for demand forecasting to reduce out-of-stocks and shrinkage, which not only helps sustainability but prevents frustration when customers can't find products," he said. For Mantis, the power lies not just in the algorithms but in the infrastructure behind them. "When you're processing 25,000 products across 2,000 stores in a short daily window, it takes real enterprise technology to make it work and continuously improve," he said. The technology extends to product recommendations in both B2B and B2C contexts, driving cross-selling across sectors from hardware to fashion. But the future, Mantis said, will be defined by AI's ability to act instantly. He painted a scenario in which a store's sales fall short of forecasts and AI traces the cause - whether it's goods stuck in the back office or a competitor's promotion - and then recommends a counter-strategy in real time. "One really interesting stat when it comes to out-of-stocks is that more than 50% of items not on the shelves are actually sitting in the back office," Mantis said. "The opportunity cost to improve that is enormous." He sees these rapid, automated insights as a competitive differentiator. "If it brings SAP's capabilities to life in a tangible way, anyone can understand that AI use case. It's a productive, competitive advantage." Speed of results is another selling point. One recent project tackled missing product information across a retailer's sales channels - a serious issue if allergy or sustainability data is absent online. "They were quoted $2 million for the project, but we built it in two weeks for less than 30k using AI models," Mantis said. "AI is bringing productivity and real outcomes incredibly quickly." However, he warned of a common misstep: fragmented AI strategies. "I don't think one AI company will dominate everything. Most businesses will have various AI systems across departments. But if enterprise architects and AI teams aren't joined at the hip, you get pockets of activity without a coherent long-term strategy," he said. Transformation success, Mantis emphasised, starts at the top. "The hard work is done upfront - aligning the business and technology teams and making sure business outcomes are embedded in design and testing. Without CEO and CFO sponsorship, change management becomes the biggest stumbling block," he explained. Data quality is equally critical. "You can have the best system in the world, but if the information you put in is shoddy or inaccurate, it destroys the benefits. Change management and data quality are the two biggest obstacles in any transformation," he said. He pointed out that SAP is deeply embedded in daily life, from grocery checkouts to financial transactions. "It's so prevalent in society that for customers running SAP, managing data is critical - not just for them, but for broader society." Retailers, Mantis acknowledged, face a tough environment with rising costs, labour pressures and price competition. Yet he sees AI as part of the solution. "AI can help them become more productive and efficient, alleviating many of the pressures they face today. If they can leverage it in the right way, the future is bright," he said. In the future, Mantis envisions AI providing instant, voice-activated answers to operational questions. "Why am I not selling as much as forecast? What are my competitors doing that I'm not? If you can get those answers immediately and act before anyone else, you can imagine the competitive advantage," he said. Australia and New Zealand, he added, are already at the forefront of retail innovation, with ideas here often adopted later in Europe and the US. "We punch above our weight in this region," Mantis said. For Mantis, AI's potential in retail is far from theoretical - it's delivering tangible results today, from better-stocked shelves to faster, cheaper technology rollouts. "It takes a very long time to build a positive reputation, but it's very quick to destroy it," he said. "If you can align everyone in a company to the importance of transformation and change, you line yourself up for success."

Exclusive: SAP's Ashley McGibbon on AI, data and the future of partner innovation
Exclusive: SAP's Ashley McGibbon on AI, data and the future of partner innovation

Techday NZ

time17 hours ago

  • Techday NZ

Exclusive: SAP's Ashley McGibbon on AI, data and the future of partner innovation

SAP is betting big on artificial intelligence, but only if it's built on a solid foundation of accurate data. Speaking to TechDay at the SAP NOW AI Tour in Melbourne, Chief Partner Officer for SAP Australia and New Zealand, Ashley McGibbon, said partners in the region were "pivoting to meet fast-growing demand for AI solutions". "In ANZ we have about 800 partners – from those building applications, to services partners, to those helping us sell and position our cloud solutions," she said. "The focus is no longer just on go-live. It's about continuous adoption." This vision is captured in SAP's "flywheel" model, which combines applications, data and AI to build momentum for ongoing innovation. Introduced this year, the concept draws on the physics principle where connected components generate increasing energy. For McGibbon, it's not just about clever technology – it's about feeding AI the right inputs. "We run mission-critical business processes, and those processes hold a treasure trove of business-critical data," she explained. "Our Business Data Cloud allows customers to harmonise SAP and non-SAP data, structured and unstructured, to feed AI with accurate business data." Without that accuracy, she warned, AI can go badly wrong. "If they can't trust the data feeding the AI, then the decisions will ultimately be wrong," she said. "It's far easier to achieve a harmonised platform with Business Data Cloud." McGibbon said SAP values partners who work quickly and with purpose, adopting a "minimum viable product" mindset to deliver rapid returns for customers. She noted a surge of AI interest at board level, with directors eager to explore how it can boost productivity, in line with the Australian Government's focus on data-driven efficiency. The response to Business Data Cloud since its February launch has been "the most reception to a new product" SAP has ever had in the region. The momentum is already visible in real-world deployments. SA Power Networks has built a generative AI app on SAP's Business Technology Platform that delivers mobile repair instructions directly to technicians in the field, saving the utility a million Australian dollars in its first year. Beverage company Lion built an app in just 10 days, a sign of how diverse industries are embracing AI. McGibbon pointed to Deloitte's recent CFO study, which found 80 per cent of CFOs in APAC prioritise automation through AI. "Everybody's talking about it," she said. For partners still making the shift to cloud and AI, McGibbon said enablement is key. SAP has opened its AI demo systems to partners, rolled out a new business AI certification, and launched "Joule for consultants" to speed up software build and implementation. She's also watching the market evolve through moves like DyFlex's acquisition of Bluetree, which expands into New Zealand and strengthens analytics capability. "It's a combination of a cloud-native partner with an analytics partner," she said. "I think they will bring AI strategy to life across all their existing cloud customers." Central to McGibbon's message is a change in how success is measured. "In the past we celebrated go-lives. For me, it's now go-begin – get the platform right, then continue that cycle of innovation," she said. Quarterly cloud updates mean partners must be ready to help customers adopt new capabilities quickly. "That's how we make the flywheel spin." She believes AI is also prompting customers to rethink design from the outset. "Customers are demanding we look at AI as part of the design, not just copying what was done before," she said. "This is the time to do it better." Early wins, she added, are often found in human capital management. "In SuccessFactors, you can use Joule to write your performance review and it makes you sound amazing," she said. "There's a lot of low-hanging fruit for existing customers." Her advice to organisations exploring AI in the SAP ecosystem is simple but firm: talk to your partners, identify the easy use cases, and above all, get your data strategy right. "You have to get that right first," she said. "Once you've done that, the world is your oyster."

AI at work: Five hard truths every business leader needs to hear
AI at work: Five hard truths every business leader needs to hear

Techday NZ

time17 hours ago

  • Techday NZ

AI at work: Five hard truths every business leader needs to hear

If you're feeling behind on AI, you're not alone. According to Talent's latest AI survey, nearly 48% of organisations say they're still in the experimental or pilot phase of AI adoption. This figure might sound like a red flag but according to their experts, it's a natural and necessary step. In their most recent webinar, 'What's next: How is AI really changing the way we work?', they unpacked the realities of AI adoption with two sharp minds in tech and recruitment: JP Browne, Practise Lead from Talent Auckland, and Jack Jorgensen, General Manager – Data, AI & Innovation at Avec, their IT consultancy arm. Together, they explored the real blockers, risks, and opportunities leaders need to wrap their heads around in 2025. 1. Most companies are still figuring it out The gap between AI hype and delivery is wide, and tinkering with tools like ChatGPT doesn't mean your business is ready to run AI in production. As Jack points out, "There's a big difference between punching in a search query and building something deterministic and robust enough to run in enterprise systems […] Having organisations stuck in that pilot stage isn't a bad thing. It means they're finding the limitations of the tech and discovering what it can actually do well" The main takeaway both experts emphasised were: Don't rush to a "full rollout." Use the pilot phase to build guardrails, clean up your data, and decide what AI is actually for in your business. 2. Executive urgency doesn't equal ownership Talent's recent AI survey found that for 31% of organisations, IT or technology departments are seen as the primary drivers of AI adoption. Alternatively, Jack has observed that, "IT isn't driving AI, they're just putting up the guardrails. However, because execs don't know who should own it, they're lumping it in tech's lap." According to JP, "For the first time ever, I've got IT leaders saying, 'We can't implement what you want until we've fixed security and infrastructure.'" 41% of leaders say their biggest blockers are lack of strategy and unclear goals. Execs want AI yesterday but, without a clear owner or roadmap, most strategies stall. The result? IT teams are stuck between enabling the business and playing the bad guy. And without a cohesive plan, budgets dry up fast. 3. People are nervous In the webinar, JP stated, "You can't bury your head in the sand. AI's affecting workflows and job design, and people are understandably unsure where they fit." However, in the midst of such concerns, Jack reassured, "I'm seeing less job displacement and more evolution. But we need to be honest about where AI changes the game." The fear around AI is real, and it isn't just about job losses. Talent's AI survey showed: 60% are concerned about ethics or compliance risks 58% fear loss of human oversight 57% worry about inaccuracy and hallucinations Business leaders need to address these fears head-on, not just with reassurance but with transparent, actionable education. 4. Security is the #1 barrier – and that's a good thing 46.2% of leaders said security concerns are the top reason they're cautious about AI, and Talent experts say that's the right instinct. Between real-world data breaches and shadow AI usage, the risks are everywhere. "If I could rate that 46% stat above 100%, I would. Security and compliance should be front of mind. Full stop," shared Jack. From accidental uploads of entire CRMs into ChatGPT (yes, that really happened) to AI-generated code opening up backdoors for attackers, this is not the time to "move fast and break things." 5. AI is quietly changing workforce planning The shift is subtle, but it's coming. One in four leaders say they're actively exploring how AI might reshape the roles they hire for and 12.1% surveyed are already using it to reduce manual work. As a longtime recruiter in New Zealand, JP shares his observations, "We're not seeing mass hiring of AI engineers, but we are seeing increased demand for system engineers and data people." While AI isn't replacing people yet, it is changing the kind of people you need. Conclusion: AI readiness is a journey, not a silver bullet From security fears to strategy gaps, the state of AI in business today is still murky, but that's not a reason to stall. As Jack puts it, "If you're jumping in without looking, you're probably going to break your ankles. But if you plan, pilot, and build velocity? That's the win." So, the real question isn't whether AI should be part of your business because it already is, but do you know where, how, and why it's showing up? Want to find out what else Talent's AI survey revealed? Access the full report.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store