AI Accelerator for Business Show

In this episode, you'll learn how AI is actually showing up in legal work today, and the risks lawyers face when AI "hallucinates". We chat with Steve Major, Senior Partner and King's Counsel at Bennett Jones, and explore how the legal profession navigates tension between AI-driven efficiency with the precision and the precision and trust the law requires. We discuss into how the traditional billable hours model is being disrupted. Finally, we walk through what the top-performing lawyer of the future looks like and what makes them still irreplaceable. 1:10 - Real-world AI use in law firms4:35 - Trust, hallucinations, and why lawyers must verify 6:05 - Balancing AI efficiency with legal precision 8:05 - How AI changes junior lawyer path to senior expertise12:35 - Billable hours vs. value-based pricing15:00 - Why legal work still requires core legal knowledge, 24:35 - Agency law, AI agents, and liability with agents 29:10 - Training junior lawyers to think critically 34:15 - Commodity legal work vs. high-value work, 37:05 - What a top-performing lawyer looks like in 5–10 years:Learn more about AI for Industryhttps://www.youtube.com/playlist?list=PL3mb8Qh4GWy8QjjaRD_wJddpENY8w6ppxLearn more about implementing AI for your business:https://www.youtube.com/playlist?list=PL3mb8Qh4GWy9MWDgeIMyLIXUNxQ1Ozg1gConnect with us if you want to get the benefits of AI for your business: 0260.AI

In this episode, you'll learn how AI is reshaping the construction industry and where the biggest opportunities for adoption truly lie. We chat with Bill Black, President and CEO of the Calgary Construction Association, and explore why most construction companies struggle to embrace AI despite the clear benefits. We also look how AI adoption must be driven from inside contracting companies rather than their clients. Finally we discuss how AI can help solve the construction industry's looming workforce and knowledge retention crisis.
What we discussed:
0:38 - State of AI adoption in construction
4:55 - Where AI can add value in the next 12–24 months
11:06 - Why construction is seen as uninnovative
17:19 - Why contractors need guides, not sales pitches
21:40 - AI’s impacton jobs in construction
24:23 - Two major AI opportunities
27:16 - Workforce challenges: 20-year industry problem
Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this episode, you'll learn about the future of marketing agencies in the age of AI and discuss how they are (and aren’t) leveraging AI. We chat with ZGM Modern Marketing’s Partner and Chief Innovation Officer Peter Bishop and unpack client expectations as well as value-based pricing vs hourly. We also explore why clear communication and critical thinking now matter more than specific tools or courses. Finally, we look at the impact of AI search to real connections with your customer and the future agency model.

What we discussed:1:10 - Why AI is harder for agencies to ignore 7:10 - Agency economics, pricing pressure from hourly billing to value-based14:00 - Client misconceptions and the gap between hype and real capability20:00 - Internal resistance, IT concerns, and fear-driven backlash24:00 - Advice for young marketers entering the field32:10 - AI and creativity: why storytelling still matters36:00 - What the marketing agency of the future might look like in an AI-search and agent-driven world40:10 - The most important AI-era skill: clear communication and critical thinking

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this video, you'll learn how AI is becoming a true economic growth engine for cities and regions and how your business can benefit now. Calgary Economic Development CEO Brad Perry shares real-world insights on adoption, why SMEs get stuck in “too busy to change." We also explore what AI playbooks work, where governments and funds can accelerate training and procurement, and what the next wave of agentic, context-aware systems means for talent and jobs. What we discussed:
0:53 - why AI is real as an economic driver
3:27 - Balancing job displacement with staying competitive
5:13 - The AI usage gap:
6:03 - CED's plan to build a hyper-specific, on-demand AI learning repository
10:20 - The COVID tech hangover and AI accordion strategy 17:06 - Role should governments play in AI acceleration
19:03 - Post-secondary institutions struggle to keep AI curriculum current
23:50 - Is the AI tipping point two years or five years out?
Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this episode , you'll learn why Microsoft Copilot is often seen as a disaster in organizations. We explore what value it does bring and why it's not all on Copilot for being perceived as a subpar product. We break down what Copilot does well and where it consistently fails.
We also look at where companies who do deploy it can improve adoption and maximize use. Finally, we discuss the strategic decision of standardizing tools like Copilot vs. the best tool for the job approach
What we discussed:0:00 - Why companies buy Copilot, turn it on, and see low adoption
2:35 - Copilot's greatest strengths
8:35 - Why Copilot disappoints13:35 - How shadow AI happens
15:00 - Policy strategy shift on AI tools
18:05 - When Copilot-only may be required

Connect with us if you want to get the benefits of AI for your business: 0260.AI