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Assisting small and medium-sized manufacturers is critical for several reasons, including economic growth, innovation, job creation, and regional development. 

By investing in their success, governments, industry leaders, and policymakers can help create a more inclusive, dynamic, and sustainable manufacturing sector that benefits not only individual businesses but also the broader economy and society at large.

According to the City of Cambridge’s website, the manufacturing sector accounts for approximately 22% of the city’s labour force and includes more than 500 businesses and employs more than 15,000 people. In Waterloo Region, more than 17.5% of residents in total are employed in the sector making it the fourth largest manufacturing centre in Canada.

The Cambridge Chamber of Commerce has long since recognized the vital role these SMEs play in our community and as an organization that champions momentum to spark economic growth has developed a new program in partnership with Toyota Motor Manufacturing Canada (TMMC) to assist them. 

Entitled Manufacturing SkillUp for SMEs, this six-part learning opportunity led by a team of industry experts focuses on a variety of topics important to small and medium-sized manufacturers.

These include AI integration, supply chain dynamics, mastering customer service, bridging cultures in the workplace, precision advancement, and developing a Kaizen strategy. 

Productivity lagging in Canada

The program is available to both Cambridge Chamber members and non-members throughout Waterloo Region.

Cambridge Chamber of Commerce President and CEO Greg Durocher said the launch of the program comes at the right moment considering Canada’s productivity continues to lag.

According to a recent Financial Post article referencing Statistics Canada data, labour productivity at Canadian businesses has declined for two consecutive quarters, after a 0.3 per cent drop in the first quarter of 2024, with 11 of the 16 main industries recording declines. At an annual rate, productivity in Canada – which has been lagging for decades - fell by 0.7 per cent and since 2019 has declined 0.5 per cent. 

“We thought it would be a good idea for us to develop a program for small and medium-sized manufacturers and advanced manufacturing firms so they are able to learn leading edge technologies and leading-edge performances that can make them a better and stronger player in the international market,” says Greg, noting the Chamber provides a variety of programming to find the path towards successful solutions. “Through the pandemic we found a lot of SMEs were turning to the Chamber for advice, direction and guidance.”

Manufacturing SkillUp for SMEs begins in October with a session at the TMMC facility on Fountain Street North entitled ‘Crafting a Kaizen Strategy’ and features a tour of the plant. The remaining five sessions will run monthly into March of 2025.

Click here to learn more. 

Series Topics

October - Crafting a Kaizen Strategy: Embracing Continuous Improvement for Lasting Success (Includes a Toyota Tour)

November - Integrating AI into Daily Operations: Transforming the Future of Work

December - Mastering Customer Service Excellence: Elevating Standards for Business Success

January, 2025 - Bridging Cultures: Mastering Intercultural Communication in the Manufacturing Workplace

February, 2025 - Mastering Supply Chain Dynamics: Insights from TPS and TMMC Practices

March, 2025 - Advancing Precision: Upskilling Employees in Cutting-Edge CNC Machining Techniques.

A large majority of Canadian businesses are sluggish when it comes to the adoption of Generative Artificial Intelligence (Gen AI), according to the results of a recent report by the Canadian Chamber of Commerce’s Business Data Lab (BDL).

The 38-page report details how a multitude of barriers, along with a lack of trust in the new technology, could impede the adoption levels needed to improve Canada’s economic growth.

Locally, the report shows that 11% of businesses in Kitchener-Waterloo and Cambridge are "using", or "planning to use" Gen AI, compared to 18% in Toronto or 15% in Ottawa. 

The report, Prompting Productivity: Generative AI Adoption by Canadian Businesses, underscores how Gen AI (referring to Large Language Models bases and the practical applications built on top of them) can help tackle one of the most significant economic challenges facing Canadian prosperity and standard of life — low productivity — while also exploring what is holding Canadian businesses back from adopting AI technologies.

The results detailed in the report, compiled from a survey of 13,327 businesses in January and February of this year, shows that larger businesses are nearly twice as likely to adopt Gen AI compared to smaller businesses. Overall, the data shows that one in seven businesses (roughly 14%) – mostly larger businesses and industries with highly educated workers – are Gen AI adopters. 

Patrick Gill, BDL's Senior Director of Operations and Partnerships, and the report's lead author, says he's surprised more small businesses haven't been embracing this new technology. 

“I’ve never run into a small business owner who wasn’t run off their feet and wearing multiple hats or wish they could replicate themselves,” he says. “But that’s the nice thing about this tool. With little or at no cost a small business owner or team can leverage this to fill in some of their existing skills gaps.”

According to the report, the top three industries adopting AI includes information & culture (31%), professional services (28%), and finance and insurance (23%). The two lowest to adopt are agriculture, forestry, and fishing (8%) and construction (7%).

Building trust an issue

Patrick says historically, larger businesses usually face more barriers adopting new technologies due to the fact their operations are more complicated and often have technology ‘stacked’ on top of each other.

“Smaller businesses usually face less of a challenge,” he says. “Their biggest challenge has usually been ‘Do I have the money right now to invest in a new technology?.”

Besides potential costs, trust is also a key issue.

“Public trust and the perception of AI will definitely play a crucial role in the adoption of the technology going forward,” says Patrick, noting a survey released last year indicated that Canada was the third most pessimistic country in the world and that only 38% of Canadians view AI in a positive light, slightly ahead of those in the U.S. and France.

Patrick says the Business Data Lab report also indicates that people are nervous about what the adoption of Gen AI will mean for their jobs and notes most agree change will come in the way they conduct their jobs, versus losing them outright.

“Right now, the technology is predominantly being used to augment workers’ abilities and not to replace them entirely,” he says, adding many are looking at Gen AI as a tool that can accelerate production and improve quality and services in effort to reduce costs. “That’s incredibly important during this time of a high-cost operating environment.”

From a global perspective as interest in Gen AI continues to grow, the report indicates that Canadian businesses need to move fast to gain a competitive advantage over global competitors. Low productivity and business investment puts Canadians’ prosperity and living standards at risk and its GDP per capita is now significantly below the U.S. and the OECD (Organisation for Economic Co-operation and Development) average.

Businesses must ‘innovate or die’

“Gen AI is a generational opportunity to boost Canadian productivity at a time when our performance is steadily headed in the wrong direction. The time to prompt productivity and act is now. Canadian businesses must innovate or die, and that means embracing Gen AI,” says Patrick. “While adoption has begun in every industry, it’s likely not fast enough for Canada to be competitive on the global stage, especially since three in four Canadian businesses still haven’t tried Gen AI yet.”

Based on two adoption scenarios (“fast” and “slow”), the Canadian Chamber of Commerce’s BDL projects that Gen AI adoption by Canadian businesses will reach a tipping point of 50% in the next three to six years.  This may seem fast but is probably not fast enough to keep pace with global leaders. Businesses in the U.S., China and several European countries are investing heavily in AI, likely outpacing Canadian investment.

“Those who move first basically set the standards and capture the largest market share,” says Patrick. “And everyone else is perennially playing catch up.”

He hopes the findings in the BDL report may gently ‘nudge’ businesses into more experimentation when it comes to adopting Gen AI. 

“There are so many low costs and no cost options available, so experiment and give it a try,” says Patrick, explaining how AI can assist with creating emails, marketing, and promotional content, and well as new visuals. “Use and test it and eventually you’ll find a way.”

Click here to the read the report.

Key findings from the report

• Roughly 1 in 7 Canadian businesses (14%) are early Gen AI adopters. They are found within every Canadian industry and region, but are more likely to be exporters, larger businesses, industries with highly educated workers or emerging enterprises.
• Larger businesses are nearly twice as likely to use Gen AI than small businesses.
• 18% of Ontario businesses are ‘already using’ or ‘plan to use’ Gen AI (Toronto rate was 18%, while KW-Cambridge was 11%).
• On its current trajectory, Gen AI adoption by Canadian businesses could reach a tipping in the next 3 to 6 years — likely too slow to keep pace with global competitors.
• Depending on the rate of adoption, Gen AI could grow Canada’s productivity between 1% and 6% over the next decade.
• The factor of “trust” will be important for future adoption, with public interest and acceptance of AI likely being positively correlated with countries’ business adoption rates. Global IPSOS surveys reveal that Canadians are less knowledgeable and more nervous about AI than citizens of most other countries.
• Most businesses using Gen AI are predominately looking to accelerate content creation (69%) and automate work without job cuts (46%).
• Interestingly, replacing workers is not the primary driver of adoption, with only 1 in 8 businesses (13%) that use Gen AI cite its value for replacing employees. 
• Roughly 3 in 10 businesses cite hiring skilled employees and access to finance as top challenges to adopting new technologies.
• Almost 3 in 4 Canadian businesses (73%) have not even considered using Gen AI yet.
• Public interest and perception of the technology are likely additional major barriers to adoption by businesses. 
• It is recommended that Canadian businesses move fast to adopt Gen AI to gain a competitive advantage over global competitors. This means starting with small-scale pilot projects to validate the feasibility and impact of Gen AI before gradually expand to larger initiatives based on successful proofs of concept, all while training and preparing employees for its adoption.
• For its part, government can support Gen AI adoption by upskilling workers, setting adoption targets, tapping the private sector, and among other actions, ensuring regulation is proportionate and risk based.

Recommendations for business

Innovate or die: Canadian businesses need to move fast to gain a competitive advantage over global competitors. With Gen AI so accessible and applicable for every type of business, there is little excuse for Canadian businesses to sit on the sidelines. 

Pilot projects that measure uplift: Start with small pilot projects to validate the feasibility and impact of Gen AI. Compare metrics (e.g., efficiency, costs savings and revenue generation) before and after its implementation.

Change management and employee training: Prepare employees for the adoption of Gen AI. Provide training sessions, workshops, and resources to help them understand the technology and develop new workflows. 

Strategic alignment: Align Gen AI adoption with overall strategic goals. Identify where Gen AI can enhance existing processes, improve customer experience, or drive innovation. 

Data infrastructure and governance: Invest in robust data infrastructure and governance practices. High-quality data is essential for training Gen AI models. Ensure data privacy, security, and compliance. 

Talent acquisition and retention: Attract and retain talent skilled in Gen AI. Recruit data scientists, machine learning engineers and domain experts who can develop and deploy Gen AI solutions. 

Investment in cloud infrastructure: Leverage cloud platforms for scalable computing power. Cloud services facilitate model training, deployment, and maintenance, allowing businesses to experiment and iterate efficiently. 

Leverage public resources: Move faster by basing policies on the federal government’s Guide on the use of Gen AI or tapping available funding, such as the NRC’s (National Research Council of Canada) IRAP AI Assist Program.

Artificial Intelligence (AI) has emerged as a double-edged sword in the realm of cybersecurity, offering immense potential to bolster defenses and creating daunting challenges that can exacerbate vulnerabilities. As businesses and organizations increasingly rely on digital infrastructure and data-driven processes, the role of AI in cybersecurity becomes crucial.

Historically, the term ‘artificial intelligence’ was first coined in the mid-1950s during a workshop held in Dartmouth by John McCarthy, a U.S. computer scientist, but the concept had already surfaced in 1921 when a Czech playwright introduced the notion of “artificial people” in a production entitled Rossum’s Universal Robots.

“AI has been around for a long time and has just scaled to what it is today, and is definitely something businesses are catching on to,” says Nick Lewis, CEO and Director of ShockproofIT, referring to AI and the issues surrounding its use. 

On the positive side, AI is now a daunting ally in the fight against cyber threats due to its ability to process vast amounts of data at lightning speed which enables AI-powered systems to accurately detect anomalies and patterns indicative of malicious activities. Machine learning algorithms can analyze historical data to identify evolving attack courses, allowing for proactive defense measures. 

“AI can really speed up the process and can look at the path of an infection from the root file all the way up to the end user,” says Nick. “AI can help investigate that path and how it’s happening, locating where the broken or infected link is so you can troubleshoot further.”

Insights offered for emerging threats

As well, AI-driven threat intelligence platforms can provide real-time insights into emerging threats, empowering organizations to stay one step ahead of cybercriminals. And for those who’ve already experienced an attack, it can also provide a detailed report of the incident for auditing purposes.

“AI can help you provide some verbose notes and data for creating reports about any attacks,” he says. “It can help you build that out.”

On the negative side, the proliferation of AI also introduces new challenges and risks to cybersecurity as cybercriminals continue to increasingly harness AI-powered tools and techniques to launch sophisticated attacks that can evade traditional security defenses. 

“Cybercriminals can analyze and collect data much quicker now and identify other avenues and trajectories of attack,” says Nick. “Criminals can also create new and sophisticated, and original targeted phishing attacks that wouldn’t otherwise be possible without the help or aid of AI.”

As well, AI can also assist cybercriminals in creating malware that contains new vulnerabilities and then bypasses detections, he says.

Barrier lowered for novice hackers

Couple this with the fact the democratization of AI technologies has lowered the barrier to entry for cybercriminals, enabling even novice hackers to leverage AI-driven attack tools with devastating consequences, means even more threats for businesses. 

To combat potential threats, Nick recommends businesses conduct thorough research when it comes to boosting their cybersecurity systems.

“You have to do your research so you can make an informed decision before you implement anything, especially something like AI,” says Nick, who also recommends talking with someone who is knowledgeable when it comes to AI-powered systems. “Talk to a professional, or someone who has been using it for a long time in many different markets and knows it from a core fundamental aspect.”

But more importantly, he recommends having a security professional audit the needs of your business to ensure you implement any AI property, safely, and effectively.

“How does your organization and your day-to-day operations work? What do you do and don’t do? What kind of logistics are going on?” says Nick. “From there, you can build a solid plan based on those things.”

Tips for leveraging AI in business cybersecurity:

Understand your cybersecurity needs: Before adopting AI solutions, assess your organization's cybersecurity posture, identify key vulnerabilities, and determine specific areas where AI can make the most impact, such as threat detection, incident response, or user authentication.

Choose the right AI technologies: Select AI technologies that align with your cybersecurity objectives and capabilities. This may include machine learning for anomaly detection, natural language processing for threat intelligence analysis, or robotic process automation for automating routine security tasks.

Invest in quality data: Ensure that your cybersecurity data is accurate, relevant, and representative of potential threats and attack scenarios. Invest in data quality assurance processes and data governance frameworks to maintain the integrity and reliability of your data.

Employ AI-driven threat intelligence: Leverage AI-powered threat intelligence platforms can analyze vast amounts of data from diverse sources, including open-source intelligence, dark web forums, and security feeds, to provide actionable intelligence for proactive defense.

Implement AI-driven anomaly detection: Deploy machine learning algorithms to monitor network traffic, user behaviour, and system activities for anomalies indicative of malicious activities. 

Enable AI-driven incident response: Automate incident response processes using AI-powered orchestration and automation tools which can analyze security alerts, prioritize incidents based on severity and impact, and execute predefined response actions to contain and mitigate security breaches more efficiently.

Ensure transparency and accountability: Maintain transparency and accountability in AI-driven cybersecurity initiatives by documenting processes, methodologies, and decision-making criteria. 

Stay informed about AI advancements and best practices: Keep abreast of the latest developments in AI technologies, cybersecurity trends, and best practices through continuous learning and engagement with industry forums, conferences, and professional networks. 

Balance AI automation with human oversight: While AI can automate routine security tasks and augment human capabilities, it is essential to maintain human oversight and intervention where necessary. 

Regularly evaluate and adapt your AI cybersecurity strategy: Continuously monitor the performance and efficacy of your AI-driven cybersecurity initiatives and make adjustments as needed based on evolving threats, technological advancements, and organizational requirements. 

As technology continues to rapidly evolve, businesses are increasingly turning to Artificial Intelligence (AI) to streamline operations, enhance efficiency, and gain a competitive edge. 

There is no question surrounding the benefits of integrating AI into business processes, but there remain legitimate concerns that accompany this technological leap.

One primary concern is the ethical implications of AI implementation. As AI systems such as ChatGPT, ClickUp, Copy.ai, or Kickresume become more sophisticated, they often require access to vast amounts of data to function effectively. This raises questions about privacy and the responsible use of sensitive information, as well as legal concerns surrounding the use of intellectual property.

“The question is fair use or is it a violation of copyright,” says Maura Grossman, Research Professor, School of Computer Science at the University of Waterloo, whose expertise centres on AI policy and ethics. 

She notes that an AI user can reference a particular article, book, or poem, despite it being copyrighted.  “It shouldn’t be able to do that because that’s a copyright infraction, but it can. The law hasn’t caught up with that yet but there are a number of legal cases now pending.”

Algorithms a concern

As well, Professor Grossman says bias in AI algorithms is another major concern. AI systems learn from historical data, and if that data contains biases, the algorithms can sustain and amplify them resulting in discriminatory outcomes and reinforcing existing social disparities.

“You’re going to find that in the language as well as the images. Open AI has spent a lot of time trying to remove toxic language from the system, so you get a little bit less of that with ChatPT,” she says, referring to the problems Microsoft experienced when it released its Tay bot in March 2016. The bot, under the name TayTweets with the handle @TayandYou, resulted in Twitter (now known as ‘X’) users tweet politically incorrect phrases and inflammatory messages resulting in the bot releasing racist and sexually charged messages in response to other users. Initially, Microsoft suspended the account after 16 hours, erasing the inflammatory tweets and two days later took it offline.  

“Most systems, like ChatGPT, are trained on the internet and that has its pluses and minuses,” says Professor Grossman, adding ‘hallucinations’ pose another big problem for AI users. “ChatGPT for example is trained to generate new content and to sound very conversational, so it uses what it has learned on the internet to predict the next most likely word. But that doesn’t mean it’s telling you the truth.”

Official policy needed

She says there have been instances of people using AI to conduct legal research and submitting bogus case citations in court. “I think the first case happened recently in B.C., but it has also happened all over the U.S.,” says Professor Grossman.

For businesses utilizing AI, she recommends drafting an official policy to outline usage.

“First they need to have a policy and then need to train who in the business is going to use AI because people need to understand what it does well and doesn’t do well,” she says. “Your policy needs to say what permissible uses are and what impermissible uses are.”

Impermissible uses could include creating a deep fake video in the workplace.

“Even if it’s a joke, you don’t want employees creating deep fakes,” she says, noting the policy should also outline what workplace devices can be used for AI. “If you need to save something because you’re involved in a lawsuit, then you don’t want to it be on an employee’s personal device because you won’t have access to it.”

Employees require training

As well, Professor Grossman also recommends employees clearly know what AI tools are okay to use and which are not and ensure they are fully trained.

“You don’t want them violating intellectual property rules or other privacy rights. You also don’t want them putting into a public tool any confidential or propriety information,” she says. “Some companies have turned off the ability to use these AI tools because they are terrified employees will put propriety information out there while asking a question about a problem they are working on. If you’re using one of these open-source tools, it’s like Google or anything else; it’s free rein.”

Professor Grossman says rules and regulations around AI will be gradually strengthened, noting a new regulation coming into play in B.C. pertaining to issues surrounding intimate imagery is just one example.

“As soon as this starts making its way more into politics, we will start to see more effort into creating regulations,” she says, referring to a recent ‘deep fake’ image that surfaced of U.S. President Joe Biden.

Despite these issues, Professor Grossman says AI is something more businesses will become comfortable using and should embrace this new technology. 

“It will save on efficiency,” she says, noting AI can greatly assist in the creation of marketing material. “Companies need to explore it and learn about it but learn about it in safe ways and understand where it can be beneficial and not just let people experiment on their own because that’s going to lead to a lot of trouble.”

AI hurdles in business

• Data Quality and Availability: AI models require vast amounts of data to learn and make accurate predictions. However, businesses often struggle with data quality issues, such as incomplete, inaccurate, or biased data. Additionally, accessing relevant data across various sources and systems can be challenging.
• Data Privacy and Security: With the increasing emphasis on data privacy regulations businesses must ensure that AI systems comply. Protecting sensitive customer and business data from unauthorized access or breaches is crucial.
• Lack of Skilled Talent: There's a significant shortage of professionals with expertise in AI and machine learning. Hiring and retaining skilled data scientists, machine learning engineers, and AI specialists can be difficult and expensive.
• Integration with Existing Systems: Integrating AI solutions with existing business processes, legacy systems, and IT infrastructure can be complex and time-consuming. Compatibility issues, scalability concerns, and resistance to change within the organization can hinder successful integration.
• Interpretability and Explainability: AI algorithms often operate as "black boxes," making it challenging to understand how they arrive at specific decisions or predictions. Lack of interpretability and explainability can lead to distrust among stakeholders and regulatory compliance issues.
• Ethical and Bias Concerns: AI systems may inadvertently perpetuate biases present in the data they were trained on, leading to unfair outcomes or discrimination. Ensuring fairness, transparency, and accountability in AI decision-making processes is essential.
• Cost and ROI Uncertainty: Implementing AI solutions involves significant upfront investments in technology, infrastructure, talent, and ongoing maintenance. Businesses may struggle to justify these costs and accurately measure the return on investment (ROI) of AI initiatives.
• Regulatory Compliance and Legal Risks: AI applications in business must comply with various industry-specific regulations and standards. Failure to meet regulatory requirements can result in legal liabilities, fines, and damage to the company's reputation.
• Change Management and Cultural Resistance: Introducing AI into the workplace often requires significant cultural and organizational changes. Resistance from employees, fear of job displacement, and lack of understanding about AI's potential benefits can impede adoption efforts.
• Performance and Reliability: AI models may not always perform as expected in real-world environments due to factors like changing data distributions, unexpected scenarios, or adversarial attacks. Ensuring the reliability and robustness of AI systems is crucial for business applications.

Our Chamber of Commerce over the years has not only learned how to pivot, but how to address the concerns, issues and needs of the small and medium-sized businesses in our community.

The events of the last few years have only strengthened our reason for being. We not only champion small and medium-sized businesses but are a source of information, guidance, and the most powerful connector there is.

We have now taken that connection to a new level thanks to ‘The Link’, a place where YOU, an SME business owner/manager can source solutions in a one-stop shop atmosphere. And since this is Small Business Week (Oct. 15-21), it's very important to always remember and celebrate the contributions SMEs make to our economy.

For the last seven months, our Chamber has undertaken this huge project (for us). To say we’re excited is a dramatic understatement because for you, we’ve invested and created an exciting, inspirational space that will not only knock your socks off but provide a place where you can share your troubles and find connections to help you navigate those issues that sometimes surface for every business.

At The Link you can source HR solutions, legal forms and information, access grant writing, and discover business services of all types that help you streamline, or even eliminate operational costs, and yes, of course, we also have direct access to financial resources only for business.

Another aspect to this renovation project is the creation of additional meeting spaces. We can now offer two boardrooms, one that can seat more than 20 and the other between eight and 10, plus a more informal meeting space for five and a private soundproof meeting “pod” also for up to five people. As well, have casual conversation areas and provide a wonderful coffee service.

The Link is modern, accessible, and a great place to have a coffee and share conversation all contained in little over 2,220-square-feet of prime real estate at Highway 401 and Hespeler Road.

Along with this incredibly cool and unique space comes some unbeatable programming to help you and your team get onside, get ramped up, and get excited for what comes next.

Programming at The Link has already been released and space is very limited, so you need to get in early and make sure there is a seat for you. Our Program Manager, (Amrita Gill), is already developing new and different ways for us to connect with meaning, with passion, and as always, with inspiring ideas.

The doors opened Oct. 1 and we already have some committed entities ready to set up shop at The Link, but there may still be room for you and your organization. Do you serve only small and medium-sized business? If so, send me a note and maybe, if all the checkmarks are in place, we may just have a spot for you at The Link, but you need to hurry. Yes, there is a cost because we are not a “funded” organization and our support comes from our membership.

Speaking of membership, did you know the Cambridge Chamber of Commerce has NOT increased its membership fees in more than 25 years? Talk about an inflation stopper, wow! That is what serving business means to us. We will always find ways to support you and now we are looking for your support to continue the work we do.

So please share your expertise with us and book a pod at The Link, or come in and get help from organizations and businesses that are here for you. Even better, drop in and enjoy a coffee, latte, cappuccino, espresso, or my personal favourite, a mochaccino. Hey, I might even buy you one. See you soon at The Link, 750 Hespeler Rd., the Cambridge Chamber of Commerce.

Chamber network urges government to address pain points and lay the groundwork for a strong rebound as province grapples with economic fallout of the crisis

The Cambridge Chamber of Commerce and Ontario Chamber of Commerce (OCC) has released its 2021 Ontario pre-Budget submission, which focuses on recovery, growth, and modernization.

The submission calls for policies that minimize the impacts of business closures, uplift the sectors and demographics hit hardest by the pandemic, invest in the infrastructure and workforce of the future, and modernize government services to improve outcomes for businesses and residents.

“With Ontario’s economy expected to enter a period of recovery this year as vaccines are distributed and businesses begin to reopen, resources need to be focused on where they will have the greatest impact,” said Cambridge Chamber of Commerce President & CEO Greg Durocher. “In the upcoming budget, we would like to see a focus on reskilling, broadband, and access to capital, which will be necessary for the revival of small business and entrepreneurship as well as an inclusive   economic recovery.”

In 2021, Ontario will continue to grapple with the COVID-19 pandemic and its economic fallout. The Cambridge Chamber and OCC’s submission notes the crisis has created new problems and exacerbated pre-existing ones. The impact on people and business has been catastrophic overall, and disproportionate for certain regions, sectors, and demographics.

“Resources should be targeted towards the sectors and communities that have been hit hardest by the COVID-19 pandemic, including industries requiring face-to-face contact, small businesses, municipal governments, as well as women, lower-income, racialized, elderly, new immigrant, and younger Ontarians,” added Rocco Rossi, President and CEO of the Ontario Chamber of Commerce.

The recommendations outlined in the submission were developed together with businesses, post-secondary institutions, chambers of commerce, and boards of trade. The submission focuses on mitigating the immediate impacts of the crisis, while laying the groundwork for a robust and sustainable economic recovery.

Read our provincial pre-budget submission here: bit.ly/3qYxUqg